Literature DB >> 34727123

A norovirus gastroenteritis outbreak in an Australian child-care center: A household-level analysis.

Nicolas Roydon Smoll1, Arifuzzman Khan1, Jacina Walker1,2, Jamie McMahon3,4, Michael Kirk5, Gulam Khandaker1.   

Abstract

There is a large burden of norovirus disease in child-care centers in Australia and around the world. Despite the ubiquity of norovirus outbreaks in child-care centers, little is known about the extent of this burden within the child-care center and the surrounding household clusters. Therefore, we performed an in-depth analysis of a gastroenteritis outbreak to examine the patterns of transmissions, household attack rates and the basic reproduction number (R0) for Norovirus in a child-care facility. We used data from parental interviews of suspected cases sent home with gastroenteritis at a child-care center between 24th of August and 18th of September 2020. A total of 52 persons in 19 household clusters were symptomatic in this outbreak investigation. Of all transmissions, 23 (46.9%) occurred in the child-care center, the rest occurring in households. We found a household attack rate of 36.5% (95% CI 27.3, 47.1%). Serial intervals were estimated as mean 2.5 ± SD1.45 days. The R0, using time-dependent methods during the growth phase of the outbreak (days 2 to 8) was 2.4 (95% CI 1.50, 3.50). The count of affected persons of a child-care center norovirus outbreak is approximately double the count of the total symptomatic staff and attending children. In the study setting, each symptomatic child-care attendee likely infected one other child-care attendee or staff and just over one household contact on average.

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Mesh:

Year:  2021        PMID: 34727123      PMCID: PMC8562815          DOI: 10.1371/journal.pone.0259145

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Noroviruses are an important cause of acute gastroenteritis and implicated in almost a fifth of all episodes of gastroenteritis [1,2]. Worldwide, norovirus is one of the most common causes of diarrheal diseases [3]. The estimate of incidence of gastroenteritis in Australia is 17.2 million (95% CI: 14.5–19.9 million) cases per year [4]. Norovirus-related gastrointestinal illnesses, are one of the leading causes of acute gastroenteritis outbreaks in Australia, being implicated in over 50% of outbreaks in Australia, and therefore is often presumed to be the causative agent despite no confirmation [5]. In Australia, 2,046,184 lifetime productivity losses are observed due to norovirus infection [5]. Norovirus requires a close contact with others to spread, and thus is often associated with outbreaks in close-quarters situations such as child-care centers, aged care facilities and cruise ships. The basic reproductive number (the number of persons that one infected person will infect in an entirely susceptible population; R0) of norovirus in various community settings internationally such as schools, colleges, and universities, is approximately 2.92 (95% CI 2.82–3.03), and in cruise ships this increases up to 7.2 [6.1, 9.5] [6,7]. Steele et al. 2020 found in a large scale review of 272 child-care center outbreaks a median attack rate of 21% (interquartile range [IQR] 13–36%), total involved 18 (11–29 persons) and an R0 using the final size methodology of 2.67 (2.39–3.60) [6]. This work represents a detailed analysis of a child-care center outbreak using case interviews to better understand the extent of the outbreak into households which most often goes unreported. Norovirus gastroenteritis is not a notifiable disease in Australia [8]. There is a plethora of information regarding the microbiology, genomics and global epidemiology of norovirus [6,9-16]. But information on how a simple norovirus outbreak affects the child-care center and households associated with the child-care center is scarce. An outbreak of norovirus infection occurred in an Australian child-care center in August and September of 2020 provided us with an opportunity to perform an in-depth review of the patterns of transmissions, household attack rates and the basic reproduction number (R0) for Norovirus in child-care facilities. In addition, this provides insights into the routes of COVID-19 transmission within a child-care center.

Materials and methods

We used data from contact tracing interviews with parents of suspected cases sent home with acute gastroenteritis of unknown cause at a child-care center between 24th of August and 18th of September in 2020. All parents provided oral informed consent, and interviews conducted within the laws set out in the Public Health Act of 2005. The child-care center is licensed to care for 103 individuals, but an average of 68 infants and children attend the facility on a particular day during the outbreak. A detailed review of the history revealed that this was likely a norovirus outbreak. A outbreak of norovirus is defined when there is greater than 50% of infected individuals that have vomiting and greater than 50% with diarrhea [17,18]. In addition, the Centers for Disease Control in the USA define a norovirus outbreak as two or more similar illnesses resulting from a common exposure that is either suspected or laboratory-confirmed to be caused by norovirus [19]. A suspected case of gastroenteritis was defined as a person whom had 2 or more episodes of vomiting and/or 3 or more episodes of diarrhea within last 24 hours [20]. A confirmed case was a person whom provided a sample that tested positive for norovirus in the faeces by real-time polymerase chain reaction (PCR). Samples from suspected norovirus cases were sent to the Public Health Virology laboratory, Forensic and Scientific Services, Queensland, Australia. A modified real-time reverse transcription PCR capable of detecting and differentiating norovirus genogroups GI and GII was utilized based on published primers and probes targeting ORF1-ORF2 junction region [21]. Sensitivity and specificity by in-house validation were deemed 100% and 99.06% respectively. Children are those aged under ten years of age, and infants are those aged less than 1 year of age. Measures to control the outbreak began the day we were alerted to the outbreak (31st of August) e.g. regular cleaning with a bleach solution, removing toys, alerting parents and keeping unwell children at home. We performed case interviews to understand the household attack rates and routes of transmission across 18 household clusters. The child-care center manager provided daily lists of suspected cases that are not attending or have been sent home with symptoms of gastrointestinal illness. A case interview was performed by a doctor (NRS) with the parents responsible for each child sent home due to symptoms of gastroenteritis (vomiting and/or diarrhea), within 2 weeks of the illness. Information on family members affected, their symptoms (must meet case definitions) and date of symptom onset, household size and likely route of transmission was collected, and ensured that other gastrointestinal complaints were not the cause of the symptoms. Onset times, age, early care room assignment, family clusters and symptoms were also collected. Verbal consent was obtained by parents or guardians as interviews were conducted over the phone. This investigation was approved (including the use of oral consent) by the Australian National University Human Research Ethics Committee (HREC Ref number 2020/629). We aimed to ensure that each family cluster had a rational transmission route consistent with gastroenteritis. Infector/infectee clusters were created by identifying cases that frequented the early care center and introduced the infection to the family cluster. The child that brought the infection home was paired with each family member to identify infector/infectee pairs used for the calculation of the serial interval. The serial interval was the time between the onset of symptoms for each infector/infectee pair, and calculated the generation time from the interval [22]. The first generation infection is obtained by the child at the child-care center and the second generation infection is all subsequent household infections. The child-care center attack rate was the number of attendee cases divided by the overall average attendees (excludes staff). The household attack rate is the number of household cases (excluding the infant/child who acquired the infection at the child-care center) divided by the total persons in the household (excluding the infant/child who acquired the infection at the child-care center). Our approach to modelling the basic reproduction number for this outbreak was performed using a time-dependent estimation of R0, and all child-care staff, attendees and household members assumed to be susceptible to norovirus [23,24]. We chose the R0 estimated over day 2–8 as the R0 for this outbreak. Reproductive numbers less than one suggest that control of the outbreak has been achieved as each case (on average) is only passing it on to less than one other person. The household R0 was calculated using hand counting and derived from the overall attack rate. Obtaining the household R0 by hand counting consists of the average household transmissions (second generation infections) occurred in each household cluster. Note that the overall R0 could not be calculated from hand counting as we could not identify links between the children inside the child-care center. The attack rate method is as follows:

Results

We used data from parental interviews of suspected cases sent or kept home with gastroenteritis at a child-care center between 24th of August and 18th of September 2020, with the authors becoming aware of the outbreak on the 31st of August. A total of 17 children and two staff members (19 household clusters) were symptomatic and met the criteria for suspect or confirmed norovirus during this outbreak investigation. A child-care center with an average of 68 children attendees per day reported an outbreak seven days after the primary case vomited in the nursery room, prompting an outbreak where a total of 52 persons, including 4 infants, 24 children, 22 non-staff adults and 2 staff members met the suspect (n = 51) or confirmed case (n = 1) definition. The parents of three children (n = 3/52) were not contactable. The total exposed during this outbreak was approximately 149 persons (see Table 1 for details). Seventeen children in six rooms of the child-care center were affected for a child-care center attendee attack rate of 25% (95% CI 16.2, 36.4%). Two of the 17 children, both infant(s) were hospitalized for observation only. Vomiting occurred in 42 (80.8%) and diarrhea occurred in 36 (69.2%) of cases. Of all transmissions, 23 (46.9%) occurred in the child-care center, the rest occurring in households (see Figs 1 and 2). Cluster 8 (3 persons) were excluded from the serial interval estimates because of unclear transmission pathways. We were only able to obtain a single stool specimen and confirm a single case (Norovirus Genus II) with PCR as parents often disregarded requests to obtain a specimen as the disease was transient and, in some cases, mild.
Table 1

Outbreak descriptors.

Total Infections, n = 52 (%)
    Infants4 (7.7)
    Children24 (46.1)
    Household Adults22 (42.3)
    Staff2 (3.9)
Vomiting, n (%)42 (80.7%)
Diarrhoea, n (%)36 (69.2%)
Exposed
    Total HH Affected19
    HH Occupants, median (range)4 (2, 6)
    Total Average Child-care Attendeesa68
    Total Staff24
    Total HH Exposedb74
    Total Exposed149
Medical Outcomes
    Hospitalized, n (%)2 (4.3)
    Deaths0
Attack Rates, (95% CI)
    Child-care Center Attendee25% (16.2, 36.4%)
    Householdc36.5% (27.3, 47.1%)
    Staff8.3% (2.3, 25.8%)
    Overall34.9% (27.7, 42.8%)
Basic Reproductive Numbers, (95% CI)
HH (hand counted)2 (1.48, 2.51)
    HH Attack Rate Derived R01.24
    Overall Attack Rate Derived R01.23
    Overall Time-dependent R0 (Day 2–8)2.4 (1.50, 3.50)

aAverage number includes a small number of HH exposed but unaffected persons. This results in a slight underestimation of the attack rates due to the potential double counting of unexposed siblings that attended the center but were unaffected.

bInfected children, infants and staff (n = 19) that attend the child-care center are included here and also included in the total average child-care center attendees.

cTotal exposed in the household was 55, or the total exposed minus the child-care center cases (n = 19). Total household transmissions was 26.

Total staff represents the total number of staff with potential contact with child-care center attendees. The overall attack rate derived R0 is different from the time-dependent method as it covers the entire outbreak, before and after mitigation strategies, which is why the time-dependent method is considered the optimal method used to define the basic reproductive number of norovirus outbreaks in child-care centers. HH = households.

Fig 1

Epicurves and time-dependant R0 of cases by likely transmission location.

Demonstrates a large burden of disease acquired within households (top graph), with 23 (46.9%) of transmissions occurring in the child-care center, the rest occurring in households. The middle graph demonstrates the burden of disease at the child-care center and at associated households. Each block represents one case and “HH Adult” represents an adult in the household. R is a sliding window estimate which is why there are no estimates for the first 7 days. One case (staff member) could not recall onset dates and not shown here.

Fig 2

Network model of the outbreak.

The index cases represent the children that obtained the infection at the child-care center and introduced Norovirus to the household. The red circles represent the child or staff member that was infected at the child-care center and introduced the infection to a single family cluster (blue for household suspected cases, and beige for household members that did not acquire the infection). The third row represents households of children infected at the center. The numbers within the circles represent the cluster ID (first number) and family member ID (second number). The parents of three children were not contactable. The cause of the high variability of individual household attack rates (e.g. some with no transmission and some with 100% transmission) remains unclear.

Epicurves and time-dependant R0 of cases by likely transmission location.

Demonstrates a large burden of disease acquired within households (top graph), with 23 (46.9%) of transmissions occurring in the child-care center, the rest occurring in households. The middle graph demonstrates the burden of disease at the child-care center and at associated households. Each block represents one case and “HH Adult” represents an adult in the household. R is a sliding window estimate which is why there are no estimates for the first 7 days. One case (staff member) could not recall onset dates and not shown here.

Network model of the outbreak.

The index cases represent the children that obtained the infection at the child-care center and introduced Norovirus to the household. The red circles represent the child or staff member that was infected at the child-care center and introduced the infection to a single family cluster (blue for household suspected cases, and beige for household members that did not acquire the infection). The third row represents households of children infected at the center. The numbers within the circles represent the cluster ID (first number) and family member ID (second number). The parents of three children were not contactable. The cause of the high variability of individual household attack rates (e.g. some with no transmission and some with 100% transmission) remains unclear. aAverage number includes a small number of HH exposed but unaffected persons. This results in a slight underestimation of the attack rates due to the potential double counting of unexposed siblings that attended the center but were unaffected. bInfected children, infants and staff (n = 19) that attend the child-care center are included here and also included in the total average child-care center attendees. cTotal exposed in the household was 55, or the total exposed minus the child-care center cases (n = 19). Total household transmissions was 26. Total staff represents the total number of staff with potential contact with child-care center attendees. The overall attack rate derived R0 is different from the time-dependent method as it covers the entire outbreak, before and after mitigation strategies, which is why the time-dependent method is considered the optimal method used to define the basic reproductive number of norovirus outbreaks in child-care centers. HH = households. Case interviews revealed that the primary case for this outbreak was an infant who probably transmitted infection via multiple unspecified intermediaries (other infants or children) to 19 the infant/child cases (and subsequently 26 more were infected) in this outbreak (Fig 2). The primary case was often dropped off at the center early in the morning where this child would mix with other children of varying ages, ensuring transmission across rooms in the center. The primary case had no other siblings that attended the center. Overall, there was 55 persons within households that were exposed, and 23 infected, for a household attack rate of 36.5% (95% CI 27.3, 47.1%). The household R0 was between 1.24 and 2 (see Table 1). Note that the household R0 cannot be greater than 4 as very few households had 4 or more total people in them. On closer inspection, there were 19 contactable infants/children or staff that acquired the infection at the child-care center and brought the infection to the family cluster, resulting in 26 infector/infectee pairs. The resultant serial intervals (mean 2.5 days, SD 1.45) were modelled establish a reasonable generation time distribution for estimation of the reproductive number (R0) and found a gamma distribution fit best on our serial intervals resulting in a generation time distribution with a mean of 2.6 and SD 1.35. The R0, using time-dependent methods during the growth phase of the outbreak (days 2 to 8) was 2.4 (95% CI 1.50, 3.50). and control was likely achieved sometime between day 10–16 when the lower 95% CI of R crossed 1 at day 12 (five days after the commencement of control measures) and mean R crossing 1 on day 14. The upper 95% CI did not cross one.

Discussion

This detailed review of a child-care center Norovirus gastroenteritis outbreak demonstrated a basic reproduction number of 2.4 (95% CI1.50, 3.50), and that household members of a child with norovirus in a child-care facility probably has a greater than 35% chance (attack rate of 36.5% [27.3, 47.1%]) of being symptomatic with norovirus, i.e. each affected child is expected to infect just over one person at home (household R0 = 1.23). However, the generalizability of these estimates to other areas, as infection-control strategies may have started earlier or later, and different regions have differing household sizes and compositions. Despite the current COVID-19 restrictions and heightened infection control measures, such a high attack rate observed during these outbreaks have real life implications. During an outbreak of norovirus in a child-care facility, for each child and staff member that gets affected, there is at least one person affected in a household related to the child-care center, indicating that the size of an outbreak is likely ~2x the size of what is seen at the child-care center (only 48% of transmissions occurred in the child-care center). We suspect that variable adherence to infection control practices can lead to high attack rates and attempted to identify transmission routes that have implications for a COVID-19 outbreak in a child-care center. We found three routes of transmission across rooms in a child-care center. Firstly, there is a single unified room where children will mix and transmit if they are dropped off early in the morning or kept late in the afternoon. Secondly, if children have an older or younger sibling that spends their day in a different room, the transmission route to the other room may occur via the sibling. Thirdly, staff work across several rooms and may cross infect. Overall, cohorting staff and children by avoiding mixing, and keeping siblings of unwell children at home should help cut the chains of transmission. Detailed risk factors for gastroenteritis outbreaks and prevalence of Norovirus in child-care centers was explored by Ensrink et al. 2015 in the Netherlands [25]. The risk factors included: large capacity of the child-care center, crowding, having animals, nappy changing areas, sandpits, paddling pools, cleaning potties in normal sinks, cleaning vomit with paper towels (but without cleaner), mixing of staff between child groups, and staff members with multiple daily duties. Protective factors included: disinfecting fomites with chlorine, cleaning vomit with paper towels (and cleaner), daily cleaning of bed linen/toys, cohorting and exclusion policies for ill children and staff. The limitations of this analysis include that we modelled only a single outbreak which had one PCR confirmed case. Our modelling was limited to a simple model of infection with our infector/infectee pairs having assumed links based on the household location of the child. While this may appear overly simplistic, in most interviews it appeared to be reasonable (except cluster 8 which was excluded). While the case interview method is good for identifying household cases, we did not call all families of the center and there may be others that were unwell but did not report to the center. Children with mild, or subclinical symptoms may also have been missed. The strengths included a detailed case analysis with robust information on onset dates, household sizes, likely infector/infectee pair and symptom analyses.

Conclusion

A child-care center norovirus outbreak is approximately double the size of the total symptomatic staff and attending infants/children. In the study setting, each symptomatic child-care attendee likely infected one other child-care attendee or staff and just over one household contact on average. The practice of mixing children during morning drop-off and late afternoon pickup as well as keeping the well sibling(s) of an affected child at home are likely valuable strategies to mitigate the further transmission. Further similar analyses are warranted to better understand the variability of the presented estimates. 26 May 2021 PONE-D-21-06174 Extent of a norovirus gastroenteritis outbreak in a childcare centre:  a household-level review. PLOS ONE Dear Dr. Smoll, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. The Authors are expected to address all the criticisms by all Reviewers. In particular, please clarify the case definition clearly (Reviewers #1 and #2), provide background information on the study population and setting (Reviewer #1), clarify distinction between norovirus and gastroenteritis, case ascertainment, number of samples collected and sample selection, and improve Figure 2 (Reviewer #2). In additional to the above comments, please address, The title can be improved as something like “A norovirus gastroenteritis outbreak in an Australian childcare centre: a household-level analysis” Title. Please reconsider the use of ‘norovirus gastroenteritis’ as only 1 child was confirmed with norovirus. Abstract, “Serial intervals were estimated as 2.5± 1.45 days”. Please clarify whether 1.45 is a SD or SE. Also, do you mean the “mean serial interval”? L78. Please provide the missing reference “[REF]” L136. Please provide a reference for the statement “generation time distribution with a mean of 2.6 136 and SD 1.35” Figure 2 can be improved by providing the types of cases, e.g. children, staff, household member etc. Please submit your revised manuscript by Jul 10 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. 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We will update your Data Availability statement on your behalf to reflect the information you provide. Additional Editor Comments: The Authors are expected to address all the criticisms by all Reviewers. In particular, please clarify the case definition clearly (Reviewers #1 and #2), provide background information on the study population and setting (Reviewer #1), clarify distinction between norovirus and gastroenteritis, case ascertainment, number of samples collected and sample selection, and improve Figure 2 (Reviewer #2). In additional to the above comments, please address, 1. The title can be improved as something like “A norovirus gastroenteritis outbreak in an Australian childcare centre: a household-level analysis” 2. Title. Please reconsider the use of ‘norovirus gastroenteritis’ as only 1 child was confirmed with norovirus. 3. Abstract, “Serial intervals were estimated as 2.5± 1.45 days”. Please clarify whether 1.45 is a SD or SE. Also, do you mean the “mean serial interval”? 4. L78. Please provide the missing reference “[REF]” 5. L136. Please provide a reference for the statement “generation time distribution with a mean of 2.6 136 and SD 1.35” 6. Figure 2 can be improved by providing the types of cases, e.g. children, staff, household member etc. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly Reviewer #2: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? 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PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: No ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Overall comments The present study describe the patterns of transmissions, household attack rates and the basic reproduction number (R0) for and small outbreak of Norovirus occurred in Australia between August and september in 2020. Overall, the study is appropriate to answer the aim proposed regarding to clarify the effects of Norovirus infecction in a childcare centre on the household transmition. Despite of some significant limitations the results could be used as a reference to also help in identifying new control strategies for future epidemics. I am grateful to the authors for the opportunity to review their preprint and hope my comments may be useful. Overall strengths and impact The abstract is written succinctly and clearly. The research question is clear and could have important implications for Norovirus surveillance. Specific comments on weaknesses Major points 1. In the Materials and Methods section, in my opinion, it will be more informative if the authors describe clearly some aspects, e.g.: - The staff of the child care centre, the number of the children associated to the same, their age range. As the same, it will be fruitful if the authors also describe the number of household studied, maybe the median of the number of the persons in each one. Some of this information is mentioned in Materials and Methods but missing in the results as well as some is given as a results, but I consider that is the main data from which the authors started the analysis. - Since only one case was confirmed by PCR, it could be useful if the authors reinforce the criteria to consider one case as Norovirus positive, maybe others clinical symptoms and signs with any epidemiological relationship. It will be informative if they also add who (laboratory) and how (methodology) it was performed the confirmatory PCR. 2. In the Discussion section: - I consider that the authors could improve the discussion if they compare as much as the literature it allowed, to any similar study, even not necessary Australian. Minor points 1. Please delete the repeated word “that” in line 29. 2. Please insert the reference in line 78. 3. In Figure 2, I advise to change the colors corresponding to unaffected and child care center circles to avoid any confusion with Figure 1 colors. I also recommend to improve the quality of the image, please consider to reproduce with another tools since it could be possible that the program not allowed. 4. I consider that it will be informative if the authors declare what they consider as children and infant, maybe in terms of age. 5. In my opinion, It will be more informative if the authors apply the primary or index case concept to the first case and secondary cases to the subsequently cases, and so on. Reviewer #2: Review of PONE-D-21-06174: "Extent of a norovirus gastroenteritis outbreak in a childcare centre: a household-level review," by Smoll et al. Reviewer comments (by section of manuscript): General: PLOS ONE "does not copyedit accepted manuscripts," and so this reviewer has endeavored to identify text that might be altered in the interest of being "clear, correct, and unambiguous." Title: Consider adding "presumed" or "probable" before "norovirus." Abstract: Several of this reviewer's comments on the body of the paper (see below) should be incorporated into the abstract. In particular, the distinction between norovirus and the broader category of gastroenteritis is quite important. Also, the term "affected persons" probably means "symptomatic household contacts of sick childcare attendees (and/or staff???)" but readers who have not yet read the full paper may not not interpret the term "affected" in that way. In the summary statements, it might be clearer to say that "in the study setting, each symptomatic childcare attendee apparently infected approximately two household contacts, on average." Ethics statements: The study was approved by the Australian National University Human Research Ethics Committee and the reference number is provided. Parents or guardians gave consent (may we assume that they consented both for their children and themselves?). Restrictions on data-sharing are meant to protect participants' confidentiality. No concerns. Introduction: This paper apparently describes the first investigation ever conducted of a presumed norovirus outbreak in childcare centers in Australia. Thus, it is of considerable public-health importance in the region, and may help set the standard for future surveillance. Early in this section, it would be important to discuss the distinction between acute gastroenteritis and presumed or confirmed norovirus. Here or in "materials and methods" one could cite standard case definitions for "presumed norovirus," e.g. the Kaplan and/or Lively criteria (Kaplan J E, Ann Int Med 1982 June;96(6 pt 1):756-61. Lively J Y, Open Forum Infection Diseases 5(4): April 2018.). The statement that there is only "minimal information available regarding the R0 in childcare facilities" may only refer to the present study setting. For example, Steele et al. (Steele, MK et al. Characterizing norovirus transmission from outbreak data, United States. Emerging Infectious Diseases 2020; 26(8):1818-1825) evaluated norovirus data from 272 childcare facilities in the United States. The basic biologic description of norovirus might be shortened. To smooth the transition to the "materials and methods" section, the introduction might include a basic statement about the outbreak that was investigated - e.g. "An outbreak of suspected norovirus infection occurred in an Australian childcare center in August and September of 2020. We took advantage of this outbreak to provide a view......." Materials and Methods: In the first paragraph of the section, the paper offers a suspected case definition for gastroenteritis but none for norovirus. This is confusing, because the topic of interest (based on the paper's title) is norovirus, which must be distinguished from the broader category of "gastroenteritis." A case definition of "presumed norovirus infection" is needed, as noted above (criteria of Kaplan or Lively). A definition of "confirmed" norovirus is given, appropriately, based on fecal PCR testing. There should be a statement about the likely completeness of case ascertainment; for example, might children with only mild symptoms have been missed? Was there a specific procedure for identification of "parents of suspected cases?" And was there a standard interview guide for these parents? In particular, it would be helpful to know whether the interview was designed to distinguish systematically between probable norovirus and other types of gastrointestinal complaints. With regard to the identification of "rational transmission route," the concern about time course is necessary. But it would also be important to confirm that both childcare attendees and other household members had symptoms that met the norovirus case definition. Here or in the results section, it would be informative to state the number of stool specimens tested, the lag time between symptom onset and stool testing, and who was tested (symptomatic children, staff, household contacts; others). If many stool specimens were collected but failed to detect norovirus, the likely reasons for this pattern should be mentioned in the discussion section. With regard to estimation of R0: Were all child-care staff, attendees, and household members presumed to be susceptible to norovirus at the outset of the outbreak? Lines 74 - 79: The term "infector/infectee pair" doesn't seem quite right, given that several sick children were linked to multiple infectees (up to 3 in a single household per Figure 2). Perhaps "infector/infectee cluster" would work. Lines 80-81 (and 92): More justification should be given for using the denominator of “overall average attendees” instead of “total number of potentially exposed attendees.” Based on the data given, it seems that children who attended for some but not all days during the high-transmission interval might still have been at considerable risk of infection. Also, children who did not attend the childcare center every day probably do not comprise a random sample of the other attendees, and might be systematically different in ways that could affect risk of acquisition of norovirus. Finally, might some of the absent children have stayed home because of norovirus symptoms? In lines 86 - 87: See comments re Figure 1. Results: A basic description of the study population might aid the reader. This could be presented in table form. It might describe total numbers of potentially exposed persons, not just numbers of persons who were known to be symptomatic, and categorize them by age (adult vs. child), childcare center vs. household status, and symptom status (in particular, whether symptoms satisfied the definition of presumptive norovirus). This suggestion is made because, at present, some information in the text is challenging to follow. For example, the reader is told that 47 persons in 18 households were "affected" but the text does not state that the 47 persons were apparently a mixture of childcare attendees and others, and the reader is not given the total population at risk. A simple chronological description of the outbreak might also help the reader follow the narrative more easily. It could begin by stating - as the abstract does - that one childcare attendee had an episode of vomiting in August 2020 (was it August 24th?); that between 8/24/2020 and 9/18/2020, _____(number/%) of the attendees developed gastroenteritis symptoms and were sent home; and that on 8/31, the authors were informed of the outbreak, and efforts to control the outbreak were begun. This information already appears elsewhere but it would be useful to reiterate it in this section. Lines 92-102: This paragraph is hard to follow. For example, the relationships between the “average of 68 children” (line 92), the 3 infants and 22 children (line 95), the 16 children in line 96, and the 2 infants of line 97 are unlikely to be clear to the reader at first glance, and most of these numbers seem to denote numerators (of cases) but not denominators (of exposed population). In the same section, it might be wise to say "developed symptoms that met the case definition for presumed norovirus," instead of “were affected.” Lines 96-98: Were the two hospitalized infants a subset of the sixteen symptomatic children? Or were there eighteen symptomatic children? Lines 104-111: Is this section meant to be the legend for Figure 1? This text might flow better as a figure legend than as a paragraph in the body of the paper. Similar query re lines 113-120. Line 123: “the index” vs. “the index child” Line 124: “they mixed” vs. “this child mixed” Line 127: Important to clarify the identity and subgroup composition of the 67 persons. If attack rate for households was 82.4% of 67 persons, total number of symptomatic persons should have been 55 (67 x 0.824). But per Figure 2, the total number of symptomatic childhood attendees and symptomatic household residents was only 44 (18 primary cases, 26 secondary cases), which would be 65.7% of the 67. Does the apparent discrepancy have something to do with the “excluded” cluster or clusters? Discussion: Line 142 and subsequent paragraphs: See above re gastroenteritis vs. presumed or confirmed norovirus. The discussion should give the reader a data-based impression of the likelihood that this outbreak was caused by norovirus. The authors are entirely correct that norovirus is high on the list of etiologic possibilities, but the paper’s conclusion should be substantiated. Lines 144-5. See above re “attack rate of 82.4%.” Lines 147-155: Can you describe the Covid-19 mitigation strategies that were already in use at the childcare center before the gastroenteritis struck, especially those that might have had an impact on norovirus transmission? Also consider introducing the Covid-19 theme earlier in the paper as well as here. Lines 149-152: Seems to conflict with previous observation that small household sizes limited possible magnitude of transmission. It would also be interesting (perhaps in future studies) to describe household-level strategies that might have prevented transmission, given that multiple households apparently had zero symptomatic transmission. Lines 156-162: Very, very helpful and important. Lines 163 – 170: Also very helpful and important. Some of this information might fit better in the introductory sections of the paper, though. Lines 171-2: Again, more information is needed re number of stool specimens collected and possible explanations for absence of more confirmed norovirus specimens. Conclusion: Lines 179-181: If the focus of the work really is on norovirus, and if the sick children and their sick household contacts had symptoms that satisfied the definition of presumed norovirus, it might be preferable to state that “in the outbreak under investigation, each child with presumed norovirus probably infected at least two other household members (on average).” However, based on what has been presented in the paper, it seems premature to make predictions about the generalizability of this estimate of R0 to other sites with different household compositions and/or different infection-control strategies (for example, if infection-control strategies had not been implemented when the outbreak investigation began, or if household sizes had been larger, far more people might have become symptomatic and the Ro would likely have risen). Lines 181-4: These recommendations and conclusions seem sound. Figure 1: This graphic gives the reader a very clear view of the evolution of the outbreak. It may also be the only mention of the very low number of infected childcare center staff. One drawback is that some of the red boxes denote children who attend the childcare center but other identical red boxes denote children who apparently did not attend; this is somewhat confusing but could be fixed easily. It would be very helpful to see additional R0 estimates for the 1st week (Aug 24-31). Based on the visual evidence (17 cases in 7 days per the invaluable Figure 1), and the serial interval of approximately 2.5, R0 for the first week should be substantially higher than for subsequent weeks (after mitigation began). Figure 2: This is also a very appealing graphic, and it is fascinating to see the heterogeneity of apparent infectivity across households -- no secondary transmission at all in about 4 households, but 100% transmission in 4 other households; the reader may be quite interested to know if this is just chance or if something else is in play. That said, Figure 2 might benefit from two modifications. First, the lines connecting different infection pathways sometimes overlap; the overlaps affect five households. The pathways for different households should be separated visually. Second, it would be helpful to the reader if the "unaffected" persons were described more fully. For example, are all of the "unaffected" persons adult members of an affected child's household, or are some of them asymptomatic childcare attendees? Summary: This paper should make a very useful contribution to public health in Australia, and other similar settings. The most essential building blocks of outbreak investigation are included (the main exception being laboratory confirmation). The introduction suggests that the work described might have been Australia's first norovirus outbreak investigation in a childcare facility, and the authors should therefore be commended for stepping up so enthusiastically. The paper would benefit from improvements in data presentation (for completeness and to facilitate reader comprehension) and from more systematic definition and use of the terms "gastroenteritis" and "norovirus," in the interest of making the importance and implications of the work even clearer to the reader. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. 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If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 9 Jul 2021 In the Methods, please clarify that participants provided oral consent. Please also state in the Methods: - Why written consent could not be obtained - Whether the Institutional Review Board (IRB) approved use of oral consent - How oral consent was documented - Whether consent was informed All interviews were over the phone. “All parents provided oral informed consent, and interviews conducted within the laws set out in the Public Health Act of 2005” We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. 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Minimum dataset will be uploaded The Authors are expected to address all the criticisms by all Reviewers. In particular, please clarify the case definition clearly (Reviewers #1 and #2), provide background information on the study population and setting (Reviewer #1), clarify distinction between norovirus and gastroenteritis, case ascertainment, number of samples collected and sample selection, and improve Figure 2 (Reviewer #2). In additional to the above comments, please address, 1. The title can be improved as something like “A norovirus gastroenteritis outbreak in an Australian childcare centre: a household-level analysis” The title has been has been changed as suggested. 2. Title. Please reconsider the use of ‘norovirus gastroenteritis’ as only 1 child was confirmed with norovirus. Thanks for this helpful comment. The authors have discussed this at length, and feel that the outbreak meets the criteria for a norovirus outbreak. See “Centers for Disease Control and Prevention. Responding to Norovirus Outbreaks. Published April 5, 2021. Accessed June 25, 2021. https://www.cdc.gov/norovirus/trends-outbreaks/responding.html “ 3. Abstract, “Serial intervals were estimated as 2.5± 1.45 days”. Please clarify whether 1.45 is a SD or SE. Also, do you mean the “mean serial interval”? The sentence was updated to “Serial intervals were estimated as mean 2.5 ± SD1.45 days” 4. L78. Please provide the missing reference “[REF]” Apologies, that was an unintentional inclusion. We do not have a reference for a “two generation” model, it is simply what we did. There are no other childcare centre outbreaks which we can reference. 5. L136. Please provide a reference for the statement “generation time distribution with a mean of 2.6 136 and SD 1.35” Added the reference to the methods section where we calculated the generation time distribution from the serial interval. 6. Figure 2 can be improved by providing the types of cases, e.g. children, staff, household member etc. This is an appropriate suggestion and clarifies the presented data. The figure legend has been updated to provide this information. Specific comments on weaknesses Major points 1. In the Materials and Methods section, in my opinion, it will be more informative if the authors describe clearly some aspects, e.g.: - The staff of the child care centre, the number of the children associated to the same, their age range. As the same, it will be fruitful if the authors also describe the number of household studied, maybe the median of the number of the persons in each one. Some of this information is mentioned in Materials and Methods but missing in the results as well as some is given as a results, but I consider that is the main data from which the authors started the analysis. This is a thoughtful comment improving the description of our dataset. We have added descriptive information about the centre and the number of households. See lines 129-144 and the new table 1. - Since only one case was confirmed by PCR, it could be useful if the authors reinforce the criteria to consider one case as Norovirus positive, maybe others clinical symptoms and signs with any epidemiological relationship. It will be informative if they also add who (laboratory) and how (methodology) it was performed the confirmatory PCR. We added “Samples from suspected norovirus cases were sent to the Public Health Virology laboratory, Forensic and Scientific Services. A modified real-time reverse transcription PCR capable of detecting and differentiating norovirus genogroups GI and GII was utilised based on published primers and probes targeting ORF1-ORF2 junction region (Reference below). Sensitivity and specificity by in-house validation were deemed 100% and 99.06% respectively.” Also, we defined a Norovirus outbreak as two or more similar illnesses resulting from a common exposure that is either suspected or laboratory-confirmed to be caused by norovirus (CDC definitions). See lines 68-77. 2. In the Discussion section: - I consider that the authors could improve the discussion if they compare as much as the literature it allowed, to any similar study, even not necessarily Australian. There are no detailed childcare centre norovirus outbreaks to compare with, other than large scale analysis done by Steele, which is discussed within. This is what prompted this study. See lines 49-54. Minor points 1. Please delete the repeated word “that” in line 29. Done 2. Please insert the reference in line 78. There is no reference that we could find to reference this model. Its more of a statement describing the limits to our infectious disease or outbreak model. 3. In Figure 2, I advise to change the colors corresponding to unaffected and child care center circles to avoid any confusion with Figure 1 colors. I also recommend to improve the quality of the image, please consider to reproduce with another tools since it could be possible that the program not allowed. We are not entirely sure what the issue was, as in all figures the red corresponds to the infant/child cases that bring the infection to the home cluster. The blue corresponds to infections at home. We have updated the figure. 4. I consider that it will be informative if the authors declare what they consider as children and infant, maybe in terms of age. This suggestion adds value to the manuscript.See lines 84-87. 5. In my opinion, It will be more informative if the authors apply the primary or index case concept to the first case and secondary cases to the subsequently cases, and so on. This has been changed throughout the manuscript. Reviewer #2: Review of PONE-D-21-06174: "Extent of a norovirus gastroenteritis outbreak in a childcare centre: a household-level review," by Smoll et al. Reviewer comments (by section of manuscript): General: PLOS ONE "does not copyedit accepted manuscripts," and so this reviewer has endeavored to identify text that might be altered in the interest of being "clear, correct, and unambiguous." Title: Consider adding "presumed" or "probable" before "norovirus." We have discussed this at length within our group. Lines 64-83 provide some further definitions, and why we believe that this is a confirmed norovirus outbreak. Abstract: Several of this reviewer's comments on the body of the paper (see below) should be incorporated into the abstract. In particular, the distinction between norovirus and the broader category of gastroenteritis is quite important. Also, the term "affected persons" probably means "symptomatic household contacts of sick childcare attendees (and/or staff???)" but readers who have not yet read the full paper may not not interpret the term "affected" in that way. In the summary statements, it might be clearer to say that "in the study setting, each symptomatic childcare attendee apparently infected approximately two household contacts, on average." This was felt to be an insightful comment, and improves the clarity of this manuscript. The abstract and the conclusion were altered to reflect these suggestions, and the actual sentence suggested was included. Thankyou. Introduction: This paper apparently describes the first investigation ever conducted of a presumed norovirus outbreak in childcare centers in Australia. Thus, it is of considerable public-health importance in the region, and may help set the standard for future surveillance. Early in this section, it would be important to discuss the distinction between acute gastroenteritis and presumed or confirmed norovirus. Here or in "materials and methods" one could cite standard case definitions for "presumed norovirus," e.g. the Kaplan and/or Lively criteria (Kaplan J E, Ann Int Med 1982 June;96(6 pt 1):756-61. Lively J Y, Open Forum Infection Diseases 5(4): April 2018.). These suggestions were incorporated into the methods. And added clarification about the distinction between presumed and confirmed in the introduction and methods. See Lines 64-83. The statement that there is only "minimal information available regarding the R0 in childcare facilities" may only refer to the present study setting. For example, Steele et al. (Steele, MK et al. Characterizing norovirus transmission from outbreak data, United States. Emerging Infectious Diseases 2020; 26(8):1818-1825) evaluated norovirus data from 272 childcare facilities in the United States. Excellent suggestion and has been added to the manuscript. The basic biologic description of norovirus might be shortened. We actually removed it as it does not add to the manuscript. Thanks for suggesting this. To smooth the transition to the "materials and methods" section, the introduction might include a basic statement about the outbreak that was investigated - e.g. "An outbreak of suspected norovirus infection occurred in an Australian childcare center in August and September of 2020. We took advantage of this outbreak to provide a view......." Excellent suggestion and incorporated this almost verbatim into the manuscript. Materials and Methods: In the first paragraph of the section, the paper offers a suspected case definition for gastroenteritis but none for norovirus. This is confusing, because the topic of interest (based on the paper's title) is norovirus, which must be distinguished from the broader category of "gastroenteritis." A case definition of "presumed norovirus infection" is needed, as noted above (criteria of Kaplan or Lively). A definition of "confirmed" norovirus is given, appropriately, based on fecal PCR testing. Case and outbreak definitions were altered to reflect this, and the definition of Kaplan was used. As that is what is used in the Australian guidelines on Norovirus. There should be a statement about the likely completeness of case ascertainment; for example, might children with only mild symptoms have been missed? Excellent suggestion, we added to the limitations: “While the case interview method is good for identifying household cases, we did not call all families of the centre and there may be others that were unwell but did not report to the centre. Children with mild, or subclinical symptoms may also have been missed.” Was there a specific procedure for identification of "parents of suspected cases?" And was there a standard interview guide for these parents? In particular, it would be helpful to know whether the interview was designed to distinguish systematically between probable norovirus and other types of gastrointestinal complaints. We incorporated the following into the text: “The child care centre manager provides daily lists of suspected cases that are not attending or have been sent home due to symptoms of gastrointestinal illness. Information on family members affected, their symptoms and date of symptom onset, household size and likely route of transmission was collected, and ensured that other gastrointestinal complaints were not the cause of the symptoms.” With regard to the identification of "rational transmission route," the concern about time course is necessary. But it would also be important to confirm that both childcare attendees and other household members had symptoms that met the norovirus case definition. All household members had to meet case definitions. Added “…(must meet case definitions)” within a sentence. Here or in the results section, it would be informative to state the number of stool specimens tested, the lag time between symptom onset and stool testing, and who was tested (symptomatic children, staff, household contacts; others). If many stool specimens were collected but failed to detect norovirus, the likely reasons for this pattern should be mentioned in the discussion section. We had no negative stool specimens. The in-depth investigation began early and we scrambled to get stool specimens, and the parents were rather uncooperative and did not really see the need. “We were only able to obtain a single stool specimen and confirm a single case with PCR” With regard to estimation of R0: Were all child-care staff, attendees, and household members presumed to be susceptible to norovirus at the outset of the outbreak? We clarified this point: Our approach to modelling the basic reproduction number for this outbreak was performed using a time-dependent estimation of R0, and all childcare staff, attendees and household members assumed to be susceptible to norovirus. Lines 74 - 79: The term "infector/infectee pair" doesn't seem quite right, given that several sick children were linked to multiple infectees (up to 3 in a single household per Figure 2). Perhaps "infector/infectee cluster" would work. Infector/infectee pairs clusters were created by identifying primary cases that frequented the early care center and introduced the infection to the family cluster. The child that brought the infection home was paired with each family member to identify infector/infectee pairs used for the calculation of the serial interval. Lines 80-81 (and 92): More justification should be given for using the denominator of “overall average attendees” instead of “total number of potentially exposed attendees.” Based on the data given, it seems that children who attended for some but not all days during the high-transmission interval might still have been at considerable risk of infection. Also, children who did not attend the childcare center every day probably do not comprise a random sample of the other attendees and might be systematically different in ways that could affect risk of acquisition of norovirus. Finally, might some of the absent children have stayed home because of norovirus symptoms? It is difficult to assert the non-random mixing of children within the childcare center. We added this phrase: “The mixing may not have been entirely random as most, but not all children attended the center every day (is a limitation of our childcare center attendee attack rate).” All children that stayed home were alerted to us and a case history performed. In lines 86 - 87: See comments re Figure 1. Results: A basic description of the study population might aid the reader. This could be presented in table form. It might describe total numbers of potentially exposed persons, not just numbers of persons who were known to be symptomatic, and categorize them by age (adult vs. child), childcare center vs. household status, and symptom status (in particular, whether symptoms satisfied the definition of presumptive norovirus). This suggestion is made because, at present, some information in the text is challenging to follow. For example, the reader is told that 47 persons in 18 households were "affected" but the text does not state that the 47 persons were apparently a mixture of childcare attendees and others, and the reader is not given the total population at risk. The table helps to clarify things. Great suggestion. A simple chronological description of the outbreak might also help the reader follow the narrative more easily. It could begin by stating - as the abstract does - that one childcare attendee had an episode of vomiting in August 2020 (was it August 24th?); that between 8/24/2020 and 9/18/2020, _____(number/%) of the attendees developed gastroenteritis symptoms and were sent home; and that on 8/31, the authors were informed of the outbreak, and efforts to control the outbreak were begun. This information already appears elsewhere but it would be useful to reiterate it in this section. Great suggestion, the beginning of the results section was reworded. Lines 92-102: This paragraph is hard to follow. For example, the relationships between the “average of 68 children” (line 92), the 3 infants and 22 children (line 95), the 16 children in line 96, and the 2 infants of line 97 are unlikely to be clear to the reader at first glance, and most of these numbers seem to denote numerators (of cases) but not denominators (of exposed population). In the same section, it might be wise to say "developed symptoms that met the case definition for presumed norovirus," instead of “were affected.” These changes have been made and are improve the quality of the manuscript. The addition of the table helps to clarify denominators and numerators. Lines 96-98: Were the two hospitalized infants a subset of the sixteen symptomatic children? Or were there eighteen symptomatic children? This was clarified by modifying the following sentence: Two of the 16 children, both infant(s) were hospitalized for observation only. Lines 104-111: Is this section meant to be the legend for Figure 1? This text might flow better as a figure legend than as a paragraph in the body of the paper. Similar query re lines 113-120. This is a figure legend and formatted in the way suggested by Plos One Line 123: “the index” vs. “the index child” This has been rectified Line 124: “they mixed” vs. “this child mixed” This has been rectified Line 127: Important to clarify the identity and subgroup composition of the 67 persons. If attack rate for households was 82.4% of 67 persons, total number of symptomatic persons should have been 55 (67 x 0.824). But per Figure 2, the total number of symptomatic childhood attendees and symptomatic household residents was only 44 (18 primary cases, 26 secondary cases), which would be 65.7% of the 67. Does the apparent discrepancy have something to do with the “excluded” cluster or clusters? This was tricky, and we managed to clarify this, and make the story make more sense. 69 total persons in the household, minus 18 cases from the centre (two staff members included), for a total of 51 exposed persons, but only 23 transmissions occurred at home. See table 1 as well as updates in the results text, but the numbers have been reconciled. Discussion: Line 142 and subsequent paragraphs: See above re gastroenteritis vs. presumed or confirmed norovirus. The discussion should give the reader a data-based impression of the likelihood that this outbreak was caused by norovirus. The authors are entirely correct that norovirus is high on the list of etiologic possibilities, but the paper’s conclusion should be substantiated. We had limited sample availability for this outbreak investigation, however large changes have been made to the manuscript to really remind the reader that this is probable norovirus. Lines 144-5. See above re “attack rate of 82.4%.” This has been rectified. Lines 147-155: Can you describe the Covid-19 mitigation strategies that were already in use at the childcare center before the gastroenteritis struck, especially those that might have had an impact on norovirus transmission? Also consider introducing the Covid-19 theme earlier in the paper as well as here. See lines 62-63 Lines 149-152: Seems to conflict with previous observation that small household sizes limited possible magnitude of transmission. It would also be interesting (perhaps in future studies) to describe household-level strategies that might have prevented transmission, given that multiple households apparently had zero symptomatic transmission. Lines 156-162: Very, very helpful and important. Lines 163 – 170: Also very helpful and important. Some of this information might fit better in the introductory sections of the paper, though. Lines 171-2: Again, more information is needed re number of stool specimens collected and possible explanations for absence of more confirmed norovirus specimens. This has been rectified. “We were only able to obtain a single stool specimen and confirm a single case with PCR as parents often found it a hassle to obtain a specimen as the disease was transient and in some cases mild.“ Conclusion: Lines 179-181: If the focus of the work really is on norovirus, and if the sick children and their sick household contacts had symptoms that satisfied the definition of presumed norovirus, it might be preferable to state that “in the outbreak under investigation, each child with presumed norovirus probably infected at least two other household members (on average).” However, based on what has been presented in the paper, it seems premature to make predictions about the generalizability of this estimate of R0 to other sites with different household compositions and/or different infection-control strategies (for example, if infection-control strategies had not been implemented when the outbreak investigation began, or if household sizes had been larger, far more people might have become symptomatic and the Ro would likely have risen). This was a thoughtful comment, and we have added a comment about the generalizability of these findings early in the manuscript. Lines 181-4: These recommendations and conclusions seem sound. Figure 1: This graphic gives the reader a very clear view of the evolution of the outbreak. It may also be the only mention of the very low number of infected childcare center staff. One drawback is that some of the red boxes denote children who attend the childcare center but other identical red boxes denote children who apparently did not attend; this is somewhat confusing but could be fixed easily. It would be very helpful to see additional R0 estimates for the 1st week (Aug 24-31). Based on the visual evidence (17 cases in 7 days per the invaluable Figure 1), and the serial interval of approximately 2.5, R0 for the first week should be substantially higher than for subsequent weeks (after mitigation began). The R0 for this outbreak is derived using the time-dependant method, and we use the first 7 days to provide the estimate. Essentially, it is impossible to provide an R0 for the first couple days as transmission has not occurred. We have added the calculation of R0 using different methodologies. Figure 2: This is also a very appealing graphic, and it is fascinating to see the heterogeneity of apparent infectivity across households -- no secondary transmission at all in about 4 households, but 100% transmission in 4 other households; the reader may be quite interested to know if this is just chance or if something else is in play. We think it important to highlight this variability that we cannot explain as yet. “The cause of the high variability of individual household attack rates (e.g. some with no transmission and some with 100% transmission) remains unclear.” See lines 174-181. That said, Figure 2 might benefit from two modifications. First, the lines connecting different infection pathways sometimes overlap; the overlaps affect five households. The pathways for different households should be separated visually. Second, it would be helpful to the reader if the "unaffected" persons were described more fully. For example, are all the "unaffected" persons adult members of an affected child's household, or are some of them asymptomatic childcare attendees? These comments are extremely helpful, and appreciate your suggestions. The figure and figure legend has been updated to match these suggestions. Submitted filename: rebuttal letter v02.docx Click here for additional data file. 1 Sep 2021 PONE-D-21-06174R1 A norovirus gastroenteritis outbreak in an Australian child-care center: a household-level analysis PLOS ONE Dear Dr. Smoll, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. The Authors have improved the manuscript substantially and addressed the reviewers’ comments. I have a remaining comment, 1. “The two generation model”/” The two generation network model” is not a standard model. I suggest the authors to remove the term in the main text and Figure 2 caption but describe the use of infector/infectee pairs (two generation) for the analysis as is (as have already done). Please submit your revised manuscript by Oct 16 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. 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Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Eric HY Lau, Ph.D. Academic Editor PLOS ONE Journal Requirements: Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. Additional Editor Comments (if provided): The Authors have improved the manuscript substantially and addressed the reviewers’ comments. I have a remaining comment, 1. “The two generation model”/” The two generation network model” is not a standard model. I suggest the authors to remove the term in the main text and Figure 2 caption but describe the use of infector/infectee pairs (two generation) for the analysis as is (as have already done). [Note: HTML markup is below. Please do not edit.] Reviewers' comments: [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 2 Sep 2021 We agree with the Editors recommendation and have made the changes in the 3 areas of the manuscript. Thank you Submitted filename: rebuttal letter v03.docx Click here for additional data file. 14 Oct 2021 A norovirus gastroenteritis outbreak in an Australian child-care center: a household-level analysis PONE-D-21-06174R2 Dear Dr. Smoll, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Eric HY Lau, Ph.D. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 25 Oct 2021 PONE-D-21-06174R2 A norovirus gastroenteritis outbreak in an Australian child-care center: a household-level analysis Dear Dr. Smoll: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Eric HY Lau Academic Editor PLOS ONE
  22 in total

Review 1.  Norovirus outbreaks: a systematic review of commonly implicated transmission routes and vehicles.

Authors:  E J Bitler; J E Matthews; B W Dickey; J N S Eisenberg; J S Leon
Journal:  Epidemiol Infect       Date:  2013-02-22       Impact factor: 2.451

Review 2.  Global prevalence of norovirus in cases of gastroenteritis: a systematic review and meta-analysis.

Authors:  Sharia M Ahmed; Aron J Hall; Anne E Robinson; Linda Verhoef; Prasanna Premkumar; Umesh D Parashar; Marion Koopmans; Benjamin A Lopman
Journal:  Lancet Infect Dis       Date:  2014-06-26       Impact factor: 25.071

3.  First-year Daycare and Incidence of Acute Gastroenteritis.

Authors:  Saskia Hullegie; Patricia Bruijning-Verhagen; Cuno S P M Uiterwaal; Cornelis K van der Ent; Henriette A Smit; Marieke L A de Hoog
Journal:  Pediatrics       Date:  2016-05       Impact factor: 7.124

4.  The frequency of a Norwalk-like pattern of illness in outbreaks of acute gastroenteritis.

Authors:  J E Kaplan; R Feldman; D S Campbell; C Lookabaugh; G W Gary
Journal:  Am J Public Health       Date:  1982-12       Impact factor: 9.308

5.  Epidemiology of Norwalk gastroenteritis and the role of Norwalk virus in outbreaks of acute nonbacterial gastroenteritis.

Authors:  J E Kaplan; G W Gary; R C Baron; N Singh; L B Schonberger; R Feldman; H B Greenberg
Journal:  Ann Intern Med       Date:  1982-06       Impact factor: 25.391

6.  The incidence of norovirus-associated gastroenteritis outbreaks in Victoria, Australia (2002-2007) and their relationship with rainfall.

Authors:  Leesa D Bruggink; John A Marshall
Journal:  Int J Environ Res Public Health       Date:  2010-07-05       Impact factor: 3.390

7.  The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks.

Authors:  Thomas Obadia; Romana Haneef; Pierre-Yves Boëlle
Journal:  BMC Med Inform Decis Mak       Date:  2012-12-18       Impact factor: 2.796

8.  Estimating foodborne gastroenteritis, Australia.

Authors:  Gillian Hall; Martyn D Kirk; Niels Becker; Joy E Gregory; Leanne Unicomb; Geoffrey Millard; Russell Stafford; Karin Lalor
Journal:  Emerg Infect Dis       Date:  2005-08       Impact factor: 6.883

9.  Aetiology-Specific Estimates of the Global and Regional Incidence and Mortality of Diarrhoeal Diseases Commonly Transmitted through Food.

Authors:  Sara M Pires; Christa L Fischer-Walker; Claudio F Lanata; Brecht Devleesschauwer; Aron J Hall; Martyn D Kirk; Ana S R Duarte; Robert E Black; Frederick J Angulo
Journal:  PLoS One       Date:  2015-12-03       Impact factor: 3.240

10.  Improved inference of time-varying reproduction numbers during infectious disease outbreaks.

Authors:  R N Thompson; J E Stockwin; R D van Gaalen; J A Polonsky; Z N Kamvar; P A Demarsh; E Dahlqwist; S Li; E Miguel; T Jombart; J Lessler; S Cauchemez; A Cori
Journal:  Epidemics       Date:  2019-08-26       Impact factor: 4.396

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