Literature DB >> 25991407

Estimated hospitalizations attributed to norovirus and rotavirus infection in Canada, 2006-2010.

V K Morton1, M K Thomas1, S A McEwen2.   

Abstract

Enteric viruses including norovirus and rotavirus are leading causes of gastroenteritis in Canada. However, only a small number of clinical cases are actually tested for these pathogens leading to systematic underestimation of attributed hospitalizations in administrative databases. The objective of this analysis was to estimate the number of hospitalizations due to norovirus and rotavirus in Canada. Hospitalization records for acute gastroenteritis-associated discharges at all acute-care hospitals in Canada between 2006 and 2011 were analysed. Cause-unspecified gastroenteritis hospitalizations were modelled using age-specific negative binomial models with cause-specified gastroenteritis admissions as predictors. The coefficients from the models were used to estimate the number of norovirus and rotavirus admissions. The total annual hospitalizations for rotavirus were estimated to be between 4500 and 10 000. Total annual hospitalizations for norovirus were estimated to be between 4000 and 11 000. The mean total annual cost associated with these hospitalizations was estimated to be at least $16 million for rotavirus and $21 million for norovirus (all figures in Canadian dollars). This study is the first comprehensive analysis of norovirus and rotavirus hospitalizations in Canada. These estimates provide a more complete assessment of the burden and economic costs of these pathogens to the Canadian healthcare system.

Entities:  

Keywords:  Norwalk agent and related viruses; rotavirus

Mesh:

Year:  2015        PMID: 25991407      PMCID: PMC4657031          DOI: 10.1017/S0950268815000734

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


INTRODUCTION

Enteric illness is an important cause of morbidity and mortality worldwide [1]. In Canada, norovirus and rotavirus are two of the leading causes of acute gastroenteritis (AGE). Recent estimates indicate that about 3·4 million norovirus and 850 000 rotavirus cases occur annually [2]. Although these illnesses are common, cases are rarely confirmed through laboratory testing because diagnosis does not change case management [3, 4]. As a result of this limited testing, the incidence of these viruses tends to be systematically underrepresented in surveillance databases, including hospital records. In the absence of reliable information concerning hospitalizations it is difficult to assess their burden on the healthcare system, and to evaluate the potential costs and benefits of alternative public health policies. Both norovirus and rotavirus are enteric viruses that can cause AGE; however, infections caused by these agents exhibit different epidemiological characteristics. Norovirus typically causes mild, self-limiting gastroenteritis in individuals of all ages and is most prevalent in the winter months. The virus is infectious at very low doses and is extremely stable in the environment, spreading easily from person to person [5]. Outbreaks occur frequently in closed settings such as schools, hospitals, long-term care facilities and cruise ships [6-9]. Although the virus can infect individuals of all ages, the impacts of infection tend to be greater in the elderly and individuals with underlying health conditions who are more likely to develop complications, and require hospitalization [10, 11]. Rotavirus infections occur in individuals of all ages, but illness in adults tends to be mild or asymptomatic [12]. Severe illness is most common in young children aged <5 years and can result in dehydration requiring medical attention or hospitalization [13]. Rotavirus infections are extremely common worldwide; with about 95% of children contracting the illness by age 5 years, and as a result the burden of this illness on the healthcare system is substantial, in both developed and developing countries [14]. To lessen this burden, two vaccines have recently been developed for rotavirus. These vaccines have been shown to significantly decrease hospitalization rates for young children [15, 16]. A recent study used indirect attribution from regression modelling techniques to estimate the incidence of norovirus and rotavirus hospitalization in the United States [17]. Similar to Canada, testing for enteric viruses is limited in the United States and many resulting hospitalizations are not laboratory-confirmed, therefore these cases are classified as unspecified AGE since the causative agent is unknown. By examining hospitalization records attributed to AGE, Lopman et al. [17], were able to attribute portions of unspecified AGE hospitalizations to these viruses and were able to estimate the total number of hospitalizations and costs attributed to each virus. The objective of the present study was to apply similar methods to examine Canadian hospital administration records and develop Canadian-specific estimates of hospitalization rates, and the associated costs for norovirus and rotavirus infection in different age groups [17].

METHODS

Data sources

Hospitalization data were obtained from the Hospital Morbidity Database maintained by the Canadian Institute for Health Information (CIHI-HMDB) [18]. This database captures administrative, clinical and demographic information on all patient discharges from all acute-care hospitals across Canada. Clinical diagnoses are recorded using the International Statistical Classification of Diseases and Related Health Problems Tenth Revision, Canada (ICD-10-CA) coding standards. Up to 35 diagnoses are recorded in each patient discharge record. The first diagnosis, also known as the most responsible diagnosis, records the diagnosis most responsible for the patient's stay in the hospital. Remaining diagnoses are given a diagnosis type, including pre-admission comorbidity, post-admission comorbidity or secondary diagnosis. CIHI-HMDB records with an admission date between 1 April 2006 and 31 March 2011 and at least one AGE diagnosis code (Table 1) within the first 16 diagnosis code positions were extracted. Entries were categorized using a hierarchy of specificity with specified pathogens' codes given priority over cause-unspecified codes. Records with a specific pathogen code (e.g. C. difficile) and a cause-unspecified gastroenteritis code were categorized based on the pathogen code. Entries with more than one AGE category of pathogen code (e.g. C. difficile and viral AGE code) were excluded from analysis, as they could not be categorized.
Table 1.

Descriptive statistics and associated diagnostic codes for acute gastroenteritis discharges, 2006–2011 CIHI-HMDB*

CauseICD-10 codesNo. of patientsMedian age (yr)Median length of stay (days)% Males% Deaths% Post-admission
BacteriaA00–A04.6, A04.8–A05.913 712514492·94·9
Clostridium difficileA04.783 60676174417·539·7
ParasiteA06–A06.2, A06.9–A07.91017425563·13·3
RotavirusA08.0897612540·26·1
NorovirusA08.132647711427·346·2
AdenovirusA08.263513602·110·1
Other virusA08.3290642491·79·5
Unspecified virusA08.446 099312431·05·6
Unspecified gastroenteritisA09–A09.9, K52.8–K52.9240 137614413·712·9

Canadian Institutes of Health Information – Hospital Morbidity Database.

Percent of total discharges where the discharge disposition was listed as deceased.

Percent of total discharges where diagnostic code of interest was classified as developing post-admission to hospital.

Descriptive statistics and associated diagnostic codes for acute gastroenteritis discharges, 2006–2011 CIHI-HMDB* Canadian Institutes of Health Information – Hospital Morbidity Database. Percent of total discharges where the discharge disposition was listed as deceased. Percent of total discharges where diagnostic code of interest was classified as developing post-admission to hospital. Descriptive statistics were used to describe discharges by pathogen category. Death rates were calculated based on the discharge disposition recorded (i.e. status of patient at time of discharge). Incidence rates were calculated based on, age-stratified population estimates for Canada (2006–2010) obtained from Statistics Canada [19]. Reports of laboratory-confirmed clinical cases of enteric viruses from 2006 to 2011 were obtained from the National Enteric Surveillance Program (NESP) [20]. The NESP collects weekly counts of enteric pathogens from all 10 central provincial public health laboratories across Canada. This provided an independent dataset with which to compare the estimates developed.

Statistical analysis

The number of norovirus- and rotavirus-associated hospitalizations were estimated using an approach presented by Lopman et al. [17]. This approach assumes that a proportion of cause-unspecified gastroenteritis (unspecified gastroenteritis and unspecified virus) hospitalizations are due to norovirus or rotavirus infections. In order to estimate the number of hospitalizations, models were built to account for hospitalizations that likely occurred due to bacterial pathogens (including C. difficile), viral and parasitic pathogens among the cause-unspecified hospitalizations. Specifically, the numbers of monthly cause-unspecified diagnoses were modelled as a function of the monthly admissions associated with bacterial, viral, parasitic and C. difficile infections using the following negative binomial generalized linear model: where x represents the age group and y the month. Hospitalization records were modelled based on the month of admission as this was thought to be more reflective of the seasonal pattern of infection compared to month of discharge. A time parameter was also included in the model to account for any underlying hospitalization trends over time. Models were fit using an identity link to ensure that regression coefficients were on a linear scale. A separate model was generated for each of five age groups (0–4, 5–17, 18–64, 65–84, ⩾85 years). Coefficient values from the models for norovirus and rotavirus were multiplied by the monthly hospitalization count for norovirus and rotavirus, respectively, to estimate the number of cause-unspecified cases attributed to the two viruses. Confidence intervals around the coefficients were similarly used to develop 95% confidence intervals around the estimates. To determine the overall number of hospitalizations, estimates from the model were combined with the coded norovirus and rotavirus entries from CIHI-HMDB. Analysis was conducted using SAS version 9.3 (SAS Institute Inc., USA) and Excel 2010 (Microsoft Corporation, USA).

Hospitalization costs

Mean annual hospitalization costs by age group for discharges with most responsible diagnostic code of norovirus (A08.1) or rotavirus (A08.0) were obtained for 2006 to 2008 [21]. These costs are calculated by attributing a proportion of the total hospital expenditure to each hospitalization stay. As a result, these values include all expenses associated with a hospital stay such as administrative costs, drugs and medical supplies, staff salaries and hospital maintenance. These age-specific costs were modelled using a triangular distribution where the minimum, most likely and maximum values were the lowest, mean and highest annual cost per case during this time-frame; and multiplied by a cumulative distribution of age-specific total annual admissions for each of norovirus and rotavirus. This method helps to account for uncertainty and variability of the inputs. Estimates were generated using Monte Carlo simulations (10 000 iterations) with @Risk software (Palisade Corporation, USA). All dollar figures are reported in Canadian currency and adjusted to 2008 values to account for inflation using the Bank of Canada Inflation Calculator (http://www.bankofcanada.ca/rates/related/inflation-calculator/).

RESULTS

During the study period 401 364 discharges were identified with at least one diagnostic code of interest within the first 16 diagnoses; however, 1051 (0·2%) of these discharges had more than one category of diagnostic code of interest and were removed from the analysis. Discharges were categorized based on the type of causative agent (Table 1). Median age of infected patients ranged from 1 year (rotavirus and adenovirus) to 76–77 years (C. difficile and norovirus). Measures of severity, such as length of stay and death rate, were highest for C. difficile and norovirus. The percent of post-admission diagnoses was also highest for norovirus (46%), a measure of nosocomial transmission. The percent of norovirus infections diagnosed post-admission ranged considerably by age, from 17% in those aged 0–17 years to 52–54% in those aged ⩾65 years. Similarly for rotavirus infection, about 5% of cases were nosocomial in individuals aged 0–17 years, while 27–34% of cases in individuals aged ⩾65 years were classified as post-admission conditions (data not shown). In total, there was a mean annual rate of 24 hospital discharges due to AGE illnesses per 10 000 in Canada (Table 2). The percentages of discharges specifically attributed to norovirus and rotavirus infection were low at 1% and 2%, respectively. However, the majority (60%) of AGE hospitalizations were due to unspecified agents, with an additional 11% attributed to unspecified viruses. The monthly distribution of cause-unspecified gastroenteritis shows a seasonal pattern (Fig. 1). In the older age groups (>18 years) the number of admissions peaks around January each year, which is consistent with the known seasonal patterns of norovirus in Canada [22]. In the youngest age group (0–4 years), a small increase occurs in January with a considerably larger peak around April, consistent with the seasonality of rotavirus infection in Canada [23].
Table 2.

Mean annual total and incidence rate of gastroenteritis hospitalizations by pathogen category for 2006–2011, CIHI-HMDB*

Most responsible diagnosisOther diagnosis (2–16 diagnostic codes)
CauseMean annual total%Mean annual incidence rate (per 10 000)Mean annual total%Mean annual incidence rate (per 10 000)
Bacteria188450·56274230·81
Clostridium difficile5568141·6516 940215·04
Parasite8000·0220200·06
Rotavirus145640·43178020·53
Norovirus18400·0558710·17
Adenovirus8700·0313000·04
Other virus36910·1156210·17
Unspecified virus6274161·878986112·67
Unspecified gastroenteritis23 135596·8847 8266014·22
Total39 03511·6179 75423·71

Canadian Institutes of Health Information – Hospital Morbidity Database.

Fig. 1.

Seasonal pattern of cause-unspecified gastroenteritis hospitalizations, month and year of admission, by age group, 2006–2011, Canadian Institutes of Health Information – Hospital Morbidity Database.

Seasonal pattern of cause-unspecified gastroenteritis hospitalizations, month and year of admission, by age group, 2006–2011, Canadian Institutes of Health Information – Hospital Morbidity Database. Mean annual total and incidence rate of gastroenteritis hospitalizations by pathogen category for 2006–2011, CIHI-HMDB* Canadian Institutes of Health Information – Hospital Morbidity Database. Overall, the model estimated that norovirus and rotavirus infections account for about 11% and 10% of the total AGE cause-unspecified hospitalizations, respectively. Model predictions combined with coded hospitalizations resulted in total annual hospitalizations of between 4097 and 11 077 for norovirus infection and 4540–9931 for rotavirus infection (Tables 3 and 4). The monthly distribution pattern of the estimates corresponded closely with the seasonal trend reported in NESP for norovirus and rotavirus, respectively (Figs 2 and 3). The number of isolates reported through this programme was substantially underestimated compared to the estimated burden of illness. However, the number of laboratories reporting through NESP is consistent, therefore the seasonal trend in reported cases is reflective of the true seasonal trends [24]. Comparison of the monthly estimates with independent data from NESP provided additional evidence that the hospitalization estimates obtained from modelling were reflective of observed trends in Canada.
Table 3.

Estimated (including known coded hospitalizations) norovirus-associated hospitalizations and incidence per 100 000 people, by age group and year, 2006–2010

Number of hospitalizations (95% CI)Incidence per 100 000 persons (95% CI)
Year0–4 yr5–17 yr18–64 yr65–84 yr⩾85 yrAll ages0–4 yr5–17 yr18–64 yr65–84 yr⩾85 yrAll ages
2006/2007132115731164102238011 0779515910744634
(878–1765)(24–290)(2421–3812)(3353–4852)(1967–2793)(8643– 13 512)(63–127)(0–1)(46–73)(88–127)(368–523)(26–41)
2007/2008102114096610978734097721192815512
(678–1364)(22–259)(750–1181)(897–1298)(721–1024)(3068–5126)(48–97)(0–1)(14–23)(23–33)(128–181)(9–16)
2008/200913211901975198210676535921395017920
(878–1765)(29–351)(1534–2416)(1620–2343)(882–1252)(4943–8127)(61–123)(0–2)(30–47)(41–59)(148–210)(15–24)
2009/201011211651639220312396366761325419819
(745–1498)(25–305)(1273–2004)(1800–2605)(1024–1454)(4867–7865)(51–102)(0–1)(25–39)(44–64)(163–232)(14–23)
Mean11961631924234613907019841376024421
(795–1598)(25–301)(1494–2353)(1917–2774)(1148–1631)(5380–8658)(56–112)(0–1)(29–45)(49–71)(202–287)(16–26)

CI, Confidence interval.

Table 4.

Estimated (including known coded hospitalizations) rotavirus-associated hospitalizations and incidence per 100 000 people, by age group and year, 2006–2010

Number of hospitalizations (95% CI)Incidence per 100 000 persons (95% CI)
Year0–4 yr5–17 yr18–64 yr65–84 yr⩾85 yrAll ages0–4 yr5–17 yr18–64 yr65–84 yr⩾85 yrAll ages
2006/200775259306406741629931542412183030
(7002–8047)(695–1165)(148–1132)(317–1032)(34–289)(8196– 11 666)(504–579)(3–5)(3–22)(8–27)(6–54)(25–36)
2007/2008439549318049165562231223131117
(4089–4700)(368–617)(42–318)(230–751)(14–116)(4743–6502)(290–333)(2–3)(1–6)(6–19)(2–20)(14–20)
2008/20097217960400981259981650148254329
(6716–7718)(717–1203)(93–707)(461–1501)(54–463)(8041– 11 592)(466–536)(3–5)(2–14)(12–38)(9–78)(24–35)
2009/20103201344360521113454021727131813
(2979–3423)(257–431)(84–637)(245–798)(24–203)(3588–5491)(202–232)(1–2)(2–13)(6–19)(4–32)(11–16)
Mean5584682395667150747739338172623
(5197–5972)(509–854)(92–698)(313–1020)(31–268)(6142–8813)(366–420)(2–4)(2–13)(8–26)(5–46)(19–27)

CI, Confidence interval.

Fig. 2.

Seasonal distribution of laboratory-confirmed norovirus infections reported to the National Enteric Surveillance Program (NESP) and estimated norovirus hospitalizations by month and year of admission, 2006–2011.

Fig. 3.

Seasonal distribution of laboratory-confirmed rotavirus infections reported to the National Enteric Surveillance Program (NESP) and estimated rotavirus hospitalizations by month and year of admission, 2006–2011.

Seasonal distribution of laboratory-confirmed norovirus infections reported to the National Enteric Surveillance Program (NESP) and estimated norovirus hospitalizations by month and year of admission, 2006–2011. Seasonal distribution of laboratory-confirmed rotavirus infections reported to the National Enteric Surveillance Program (NESP) and estimated rotavirus hospitalizations by month and year of admission, 2006–2011. Estimated (including known coded hospitalizations) norovirus-associated hospitalizations and incidence per 100 000 people, by age group and year, 2006–2010 CI, Confidence interval. Estimated (including known coded hospitalizations) rotavirus-associated hospitalizations and incidence per 100 000 people, by age group and year, 2006–2010 CI, Confidence interval. Mean annual costs associated with norovirus hospitalizations in Canada were estimated at $20.8 million [90% credible interval (CrI) $14.9–$28.9 million] (Table 5). A majority (69%) of the costs were associated with hospitalizations in individuals aged ⩾65 years. The hospitalization costs were slightly lower for rotavirus infections, with a mean annual cost of $16.1 million (90% CrI $11.0–$22.3 million). Most of these costs (73%) were due to hospitalizations in the <5 years age group.
Table 5.

Estimated annual hospital costs associated with norovirus and rotavirus infection, by age group, and seasonal years 2006/2007–2009/2010

NorovirusRotavirus
Age group (yr)Cost per hospitalization, rangeAnnual cost, mean (90% CrI)Cost per hospitalization, rangeAnnual cost, mean (90% CrI)
0–42354–29593 002 7862215–240911 695 509
(2 515 153–3 611 199)(7 301 687–17 415 599)
5–171021–1879212 5722118–23271 358 122
(161 926–279 306)(757 824–2 166 385)
18–641763–20703 223 4611536–2621683 532
(1 818 970–15 535 059)(325 802–1 214 375)
65–843871–49408 273 0172635–36811 808 555
(4 323 058–1 535 059)(1 336 943–2 762 153)
⩾854771–54856 126 5611586–7150571 448
(4 333 677–10 963 642)(215 329–1 191 148)
Total20 838 39716 117 165
(14 934 994–28 919 793)(10 987 357–22 325 928)

CrI, Credible interval.

All values are in Canadian dollars (adjusted to 2008 value).

Estimated annual hospital costs associated with norovirus and rotavirus infection, by age group, and seasonal years 2006/2007–2009/2010 CrI, Credible interval. All values are in Canadian dollars (adjusted to 2008 value).

DISCUSSION

We estimate that on average 7000 and 7500 hospitalizations annually in Canada involved norovirus and rotavirus infection, respectively. These estimates represent a substantial increase compared to the number of hospitalizations with norovirus- or rotavirus-specific codes in hospital records; four times greater for rotavirus-related and 11 times greater for norovirus-related reported hospitalizations accounted for in hospital records. Based on these figures, we estimate that norovirus and rotavirus infections combined cost the Canadian healthcare system up to $37 million annually in direct hospital costs. Hospital records also indicate that a substantial proportion of norovirus cases are nosocomial. In order to develop these estimates, modelling techniques were employed, based on the assumption that proportions of unspecified gastroenteritis hospitalizations are due to infection with norovirus and rotavirus. The results obtained are consistent with the known epidemiology of these enteric infections. For instance the estimated monthly seasonality corresponds well with the known seasonal distribution of infection with each virus: norovirus peaking in early winter and rotavirus a few months later in early spring [22, 23]. Moreover, the age distribution of the estimated hospitalizations is consistent with known infections due to these agents; the majority of rotavirus-associated hospitalizations were in the <5 years age group, while norovirus hospitalizations are more common in the elderly [10, 25]. The study by Lopman et al. [17] which served as a model for this work, calculated comparable annual hospitalization rates for both viruses; 24/100 000 for norovirus and 29/100 000 for rotavirus compared to our estimates of 21/100 000 and 23/100 000, respectively. One other study from The Netherlands also estimated the overall burden of norovirus, and reported an estimated annual hospitalization rate of 12/100 000 in the general population [26]. This estimate was, however, limited to community-acquired cases. Our estimate is higher but if we consider that about 46% of norovirus are nosocomial, our estimate for community-acquired cases would be 11/100 000 which is consistent with the estimate from The Netherlands. Although few studies estimate the burden of norovirus hospitalization, numerous studies have been conducted to estimate the hospitalization rate for rotavirus infection in the 0–5 years age group. For example, two Canadian studies reported annual hospitalization rates of 450/100 000 and 500–740/100 000 in children aged <5 years [23, 27] and these figures are higher than the range estimated by the present study (366–420/100 000). These previous Canadian studies both involved retrospective review of hospital records for multiple AGE codes, including unspecified AGE-associated codes, and used modelling techniques to attribute a proportion to rotavirus. Both of these previous studies examined hospital records solely from a small area of the province of Quebec and thus may not be representative of national trends in hospitalization rates. Moreover, they did not consider or control for norovirus infections in their estimates. These previous studies did demonstrate substantial year-to-year variations in rotavirus hospitalizations, a pattern also observed in our estimates. This variation has also been observed in the United States and may be partially explained by genetic variation in circulating strains of virus [28]. We also observed considerable annual variability in the estimated number of hospitalizations for norovirus infection, which is consistent with other studies. Circulating strains of norovirus are known to evolve, with new strains emerging every few years and causing increased numbers of illnesses [29]. For example, in 2006/2007 two new strains emerged in Canada and the rest of the world causing a substantial increase in the number of observed outbreaks of norovirus infection [22, 30]. Analysis of hospitalization records indicated that 46% of norovirus patients developed symptoms after admission to hospital. This finding is in line with the literature as a high number of outbreaks are known to occur in hospital settings [9]. However, this is the first report, to our knowledge, to quantify the rate of nosocomial transmission in Canadian hospitals. Nosocomial norovirus infection likely extends the hospital stays of many of these patients who are initially hospitalized for other conditions. The estimated rate of nosocomial transmission was, however, much lower for rotavirus at 6% in all age groups and only 5% in patients aged <5 years. This is likely an underestimate as previous studies that used active surveillance to identify cases found substantially higher nosocomial rates of 14–51% in the <5 years age group [31, 32]. There are potential limitations of this study. The regression models considered only norovirus or rotavirus infections and not a wide range of other enteric viruses known to cause gastroenteritis. For instance, enteric viruses such as sapovirus, astrovirus and adenovirus are increasingly recognized as potentially important contributors to enteric illness [33], and sapovirus and astrovirus infections also tend to increase in the winter months [34, 35]. Therefore it is possible that proportions of the cause-unspecified discharges attributed to norovirus and rotavirus in our study are attributable to these other enteric viruses. Second, we assumed that a fixed multiplier could be applied to the number of coded hospitalizations to give a total number attributed to norovirus and rotavirus could be used to accurately estimate total hospitalizations for these viral infections. This approach may not take into account seasonal trends in testing practices or changes over time. Finally, only a few years of data were available for this study limiting the ability to assess any long-term trends in the number of infections. Also of note, two rotavirus vaccines are approved and recommended for use in Canada; Rotarix™ was approved in 2008 and RotaTeq® in 2006 [36]. However, only one province, with 0·4% of the Canadian population, had implemented a provincially funded vaccination initiative during the time-frame of this study (December 2010). It is unknown how many children were vaccinated during the study period, either through this provincially funded programme or through private purchases of vaccine. Since only a few years of data were analysed, and given the year-to-year variability observed, the effect of these vaccines could not be discerned. Analysis of hospitalization records beyond 2011 could provide insight into the effectiveness of the rotavirus vaccination programmes. The total hospitalization costs were calculated based on the cost of a case with a most responsible diagnosis code of either norovirus or rotavirus, as a result the same cost was applied to community-acquired and nosocomial infections. Data limitations prevented the separation of costs for patients with a diagnosis of enteric viral infection post-admission. The underlying assumption of this approach was that the additional cost of an individual acquiring a virus in hospital is similar to the cost of an individual being hospitalized for an enteric viral infection. In addition, it should be noted that the cost estimates reported in this paper only reflect direct costs to hospitals and do not include costs associated with visits to physicians' offices, emergency rooms or other healthcare costs. Our estimates indicate that although rotavirus hospitalizations are more common, the total cost was higher for norovirus hospitalizations. This likely reflects the higher cost per hospitalization associated with the elderly which make up the majority of norovirus hospitalization cases in our database. These estimates are the first comprehensive and age-specific assessment of norovirus and rotavirus hospitalizations in Canada. They provide data to understand the true scope of the burden associated with enteric viruses and can be used to assist public health decision-making.
  30 in total

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Authors: 
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5.  Rotavirus-related hospitalizations are responsible for high seasonal peaks in all-cause pediatric hospitalizations.

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6.  Burden of rotavirus disease: A population-based study in Eastern Townships, Quebec.

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Journal:  Can J Infect Dis Med Microbiol       Date:  2013       Impact factor: 2.471

7.  Risk groups for clinical complications of norovirus infections: an outbreak investigation.

Authors:  F Mattner; D Sohr; A Heim; P Gastmeier; H Vennema; M Koopmans
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8.  Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Christopher J L Murray; Theo Vos; Rafael Lozano; Mohsen Naghavi; Abraham D Flaxman; Catherine Michaud; Majid Ezzati; Kenji Shibuya; Joshua A Salomon; Safa Abdalla; Victor Aboyans; Jerry Abraham; Ilana Ackerman; Rakesh Aggarwal; Stephanie Y Ahn; Mohammed K Ali; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Adil N Bahalim; Suzanne Barker-Collo; Lope H Barrero; David H Bartels; Maria-Gloria Basáñez; Amanda Baxter; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Eduardo Bernabé; Kavi Bhalla; Bishal Bhandari; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; James A Black; Hannah Blencowe; Jed D Blore; Fiona Blyth; Ian Bolliger; Audrey Bonaventure; Soufiane Boufous; Rupert Bourne; Michel Boussinesq; Tasanee Braithwaite; Carol Brayne; Lisa Bridgett; Simon Brooker; Peter Brooks; Traolach S Brugha; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Geoffrey Buckle; Christine M Budke; Michael Burch; Peter Burney; Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Diego Gonzalez-Medina; Richard Gosselin; Rebecca Grainger; Bridget Grant; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Francine Laden; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Daphna Levinson; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Charles Mock; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Natasha Wiebe; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

9.  Rotavirus and severe childhood diarrhea.

Authors:  Umesh D Parashar; Christopher J Gibson; Joseph S Bresee; Roger I Glass
Journal:  Emerg Infect Dis       Date:  2006-02       Impact factor: 6.883

Review 10.  Rotavirus infection in adults.

Authors:  Evan J Anderson; Stephen G Weber
Journal:  Lancet Infect Dis       Date:  2004-02       Impact factor: 25.071

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  12 in total

1.  Epidemiology of norovirus and viral gastroenteritis in Ontario, Canada, 2009-2014.

Authors:  Stephanie L Hughes; Amy L Greer; Alex J Elliot; Scott A McEwen; Ian Young; Andrew Papadopoulos
Journal:  Can Commun Dis Rep       Date:  2021-10-14

2.  Estimated Annual Numbers of Foodborne Pathogen-Associated Illnesses, Hospitalizations, and Deaths, France, 2008-2013.

Authors:  Dieter Van Cauteren; Yann Le Strat; Cécile Sommen; Mathias Bruyand; Mathieu Tourdjman; Nathalie Jourdan Da Silva; Elisabeth Couturier; Nelly Fournet; Henriette de Valk; Jean-Claude Desenclos
Journal:  Emerg Infect Dis       Date:  2017-09       Impact factor: 6.883

3.  Estimating the Hospital Burden of Norovirus-Associated Gastroenteritis in England and Its Opportunity Costs for Nonadmitted Patients.

Authors:  Frank G Sandmann; Laura Shallcross; Natalie Adams; David J Allen; Pietro G Coen; Annette Jeanes; Zisis Kozlakidis; Lesley Larkin; Fatima Wurie; Julie V Robotham; Mark Jit; Sarah R Deeny
Journal:  Clin Infect Dis       Date:  2018-08-16       Impact factor: 9.079

4.  A comparison of the Allplex™ bacterial and viral assays to conventional methods for detection of gastroenteritis agents.

Authors:  Kelly Amrud; Robert Slinger; Nadia Sant; Marc Desjardins; Baldwin Toye
Journal:  BMC Res Notes       Date:  2018-07-28

5.  Monitoring telehealth vomiting calls as a potential public health early warning system for seasonal norovirus activity in Ontario, Canada.

Authors:  S L Hughes; R A Morbey; A J Elliot; S A McEwen; A L Greer; I Young; A Papadopoulos
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

6.  Burden of Norovirus in the United States, as Estimated Based on Administrative Data: Updates for Medically Attended Illness and Mortality, 2001-2015.

Authors:  Rachel M Burke; Claire P Mattison; Talia Pindyck; Rebecca M Dahl; Jessica Rudd; Daoling Bi; Aaron T Curns; Umesh Parashar; Aron J Hall
Journal:  Clin Infect Dis       Date:  2021-07-01       Impact factor: 20.999

Review 7.  Animal models to study acute and chronic intestinal inflammation in mammals.

Authors:  Janelle A Jiminez; Trina C Uwiera; G Douglas Inglis; Richard R E Uwiera
Journal:  Gut Pathog       Date:  2015-11-10       Impact factor: 4.181

8.  Effectiveness of rotavirus vaccine in preventing severe gastroenteritis in young children according to socioeconomic status.

Authors:  Virginie Gosselin; Mélissa Généreux; Arnaud Gagneur; Geneviève Petit
Journal:  Hum Vaccin Immunother       Date:  2016-07-01       Impact factor: 3.452

9.  The incidence of medically-attended norovirus gastro-enteritis in Japan: Modelling using a medical care insurance claims database.

Authors:  Chia-Hsien Chang; Motonobu Sakaguchi; John Weil; Thomas Verstraeten
Journal:  PLoS One       Date:  2018-03-30       Impact factor: 3.240

10.  Norovirus Gastroenteritis among Hospitalized Patients, Germany, 2007-2012.

Authors:  Frank Kowalzik; Harald Binder; Daniela Zöller; Margarita Riera-Montes; Ralf Clemens; Thomas Verstraeten; Fred Zepp
Journal:  Emerg Infect Dis       Date:  2018-11       Impact factor: 6.883

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