Literature DB >> 33600301

Analysis of Asymptomatic and Presymptomatic Transmission in SARS-CoV-2 Outbreak, Germany, 2020.

Jennifer K Bender, Michael Brandl, Michael Höhle, Udo Buchholz, Nadine Zeitlmann.   

Abstract

We determined secondary attack rates (SAR) among close contacts of 59 asymptomatic and symptomatic coronavirus disease case-patients by presymptomatic and symptomatic exposure. We observed no transmission from asymptomatic case-patients and highest SAR through presymptomatic exposure. Rapid quarantine of close contacts with or without symptoms is needed to prevent presymptomatic transmission.

Entities:  

Keywords:  COVID-19; Germany; SARS-CoV-2; asymptomatic diseases; contact; coronavirus disease; disease transmission; epidemiology; infectious; respiratory infections; risk; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses

Mesh:

Year:  2021        PMID: 33600301      PMCID: PMC8007320          DOI: 10.3201/eid2704.204576

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


During the ongoing coronavirus disease (COVID-19) pandemic, worldwide, >85 million severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections had been reported as of January 7, 2021 (https://covid19.who.int). Although it was clear from the beginning of the pandemic that symptomatic transmission of SARS-CoV-2 occurs, presymptomatic transmission has also been described (–). Furthermore, transmission from asymptomatic cases was deemed possible on the basis of findings that viral load of asymptomatic cases was similar to that of symptomatic cases (). Understanding how transmission occurs from asymptomatic cases and from symptomatic cases in their presymptomatic and symptomatic phase, as well as the frequency of transmission, is essential for public health management. We assessed asymptomatic, presymptomatic, and symptomatic transmission during an outbreak investigation of 59 COVID-19 cases by determining secondary attack rates (SAR) according to the respective exposure periods. In addition, we estimated key parameters such as serial interval and incubation period.

The Study

On February 29, 2020, a COVID-19 case was notified to the local public health authority (LPHA) of a rural district in southern Germany without previously observed community transmission. During their infectious period, the case-patient had attended several carnival events in the district. The LPHA immediately initiated contact tracing, identifying all close contacts; they were quarantined and tested irrespective of symptoms. By the end of March 2020, a cluster of 59 cases had been identified through successive contact tracing activities. We interviewed the case-patients of the cluster by phone regarding symptoms developed during SARS-CoV-2 infection; potential source cases or events; and household contacts (HCs) and close nonhousehold or other contacts (OCs) in their infectious period (Appendix). We obtained an empirical distribution of the serial interval from the average over all possible transmission trees of the cluster. We obtained generation time and incubation period by averaging over the estimates as described by Reich et al. () (Appendix). To estimate SAR and relative risks (RRs) we conducted a retrospective cohort study, including all HCs and OCs as recalled by the case-patients that met inclusion criteria (Appendix). We calculated pooled SAR of HCs and OCs for 2 outcomes, laboratory confirmation (SARlab) and development of respiratory symptoms (SARres) in the following groups: HCs and OCs of asymptomatic case-patients who never experienced symptoms; HCs and OCs of symptomatic case-patients in which the phase with contact could not be specified by the case-patient or with contact in both phases; OCs of symptomatic case-patients with contact only in the presymptomatic phase; and OCs of symptomatic case-patients with contact only in the symptomatic phase. We were able to contact 53/59 (90%) case-patients. Three case-patients were children <15 years of age (Table 1). Forty-six (87%) were symptomatic, and 7 (13%) were asymptomatic (Appendix Figure 1). The cluster resulted in 144 possible transmission trees, which span over 5 generations (Figure). No secondary transmission resulted from asymptomatic cases. We determined a median serial interval of 3.0 (IQR 1.0–6.0) days and a median incubation period of 4.3 (IQR 2.5–6.5) days (Appendix Table 1).
Table 1

Demographics of coronavirus disease case-patients and their contacts in a district in southern Germany*

Case typeNo. (%) asymptomatic No. (%) symptomatic
Total
Phase not specified or both†Presymptomatic phase onlySymptomatic phase only
Case-patients
Total7 (13.2)46 (86.8)NANA53 (100)
Female3 (11.5)23 (88.5)NANA26 (100)
Male4 (14.8)23 (85.2)NANA27 (100)
Median age
36 (IQR 6–68)
40 (IQR 29–50)
NA
NA
39.5 (IQR 29–50)‡
Contact persons by type of exposure
HC7 (16.7)35 (83.3)NANA42 (100)
OC52 (24.5)48 (22.6)81 (38.2) 31 (14.6)212 (100)

*HC, household contact; IQR, interquartile range; NA, not applicable; OC, nonhousehold or other contact.
†The phase in which the contact occurred was not specified, or contact occurred in both phases.
‡Three of 53 cases were children <15 y of age.

Figure

Transmission tree of the investigated cluster of coronavirus disease that evolved in a district in southern Germany. Cases 39, 40, and 60 participated in the survey but were not included in the analysis because we had no information on source case. Cases 7 and 27 did not participate in the survey and thus, no information on source case was available. Dashed lines represent source case–infectee pairs in which the infectee reported >1 possible source case; solid lines represent source case–infectee pairs in which only 1 source case was mapped to the infectee. Asterisks (*) indicate asymptomatic cases. Implausible transmissions (e.g., ID 6) were omitted.

*HC, household contact; IQR, interquartile range; NA, not applicable; OC, nonhousehold or other contact.
†The phase in which the contact occurred was not specified, or contact occurred in both phases.
‡Three of 53 cases were children <15 y of age. Transmission tree of the investigated cluster of coronavirus disease that evolved in a district in southern Germany. Cases 39, 40, and 60 participated in the survey but were not included in the analysis because we had no information on source case. Cases 7 and 27 did not participate in the survey and thus, no information on source case was available. Dashed lines represent source case–infectee pairs in which the infectee reported >1 possible source case; solid lines represent source case–infectee pairs in which only 1 source case was mapped to the infectee. Asterisks (*) indicate asymptomatic cases. Implausible transmissions (e.g., ID 6) were omitted. In total, 42 HCs and 212 OCs were included in the cohort study (Table 1). The overall SARlab was 13% (4/32) for HCs and 14% (20/148) for OCs. The overall SARres was 29% (12/42) for HCs and 17% (29/170) for OCs (Table 2). We did not identify any HC who tested positive or experienced respiratory symptoms after contact with asymptomatic case-patients. Neither SARlab nor SARres of HCs of symptomatic case-patients were significantly higher compared with HCs of asymptomatic cases (SARlab p = 1.0; SARres p = 0.23). We observed no laboratory-confirmed SARS-CoV-2 transmission from asymptomatic case-patients to any of the 22 OCs (Table 2; Appendix Figure 2). SARlab was highest for OCs with contact during the case-patients’ presymptomatic phases (21%; 15/72) yielding a RR of 6.5 (95% CI 1.1–∞) when compared with contacts of asymptomatic case-patients. Adjusting for case-patients’ age, sex, and number of contact persons showed no substantial changes in the magnitude of estimates (data not shown). Presymptomatic transmission accounted for >75% of all transmissions to OCs in the cohort (Appendix).
Table 2

Secondary attack rates among contacts of coronavirus disease case-patients in a district in southern Germany*

Clinical symptoms of source caseNo. contacts tested positive or experienced respiratory symptomsTotal no. contactsSAR, %RR (95% CI)
Household contacts SARlab
Asymptomatic040Reference
Symptomatic, phase not specified or both†42814.30.8 (0.09–∞)
Total
4
32
12.5

Household contacts SARres
Asymptomatic070Reference
Symptomatic, phase not specified or both123534.33.4 (0.56–∞)
Total
12
42
28.6

Other contacts SARlab
Asymptomatic cases0220Reference
Symptomatic, phase not specified or both32512.03.4 (0.36–∞)
Symptomatic, presymptomatic phase only157220.86.5 (1.1–∞)
Symptomatic, symptomatic phase only2296.91.8 (0.14–∞)
Total
20
148
13.5

Other contacts SARres
Asymptomatic cases2523.8Reference
Symptomatic, phase not specified or both42218.24.7 (0.68–52)
Symptomatic, presymptomatic phase only226732.88.5 (2.1–75)
Symptomatic, symptomatic phase only1293.50.90 (0.02–17)
Total2917017.1

*RR relative risk; SAR, secondary attack rate; SARlab secondary attack rate for laboratory-confirmed SARS-CoV-2–positive contact persons; SARres, secondary attack rate for contact persons who experienced respiratory symptoms after contact. 
†The phase in which the contact occurred was not specified, or contact occurred in both phases.

*RR relative risk; SAR, secondary attack rate; SARlab secondary attack rate for laboratory-confirmed SARS-CoV-2–positive contact persons; SARres, secondary attack rate for contact persons who experienced respiratory symptoms after contact. 
†The phase in which the contact occurred was not specified, or contact occurred in both phases.

Conclusions

In this cluster of COVID-19 cases, little to no transmission occurred from asymptomatic case-patients. Presymptomatic transmission was more frequent than symptomatic transmission. The serial interval was short; very short intervals occurred. The fact that we did not detect any laboratory-confirmed SARS-CoV-2 transmission from asymptomatic case-patients is in line with multiple studies (–). However, Oran et al. have speculated that asymptomatic cases contribute to the rapid progression of the pandemic (). Some studies may be prone to misclassify presymptomatic cases as asymptomatic, leading to heterogeneous reporting of SAR of asymptomatic cases, because of different case definitions or differential duration of follow-up. In our study we used a very sensitive case definition for symptomatic cases that did not require specific symptoms (e.g. fever) to be present. Also, timing of our study would have enabled detection of late onset of symptoms, which gives us confidence in our classification of exposure groups. The 75% of SARS-CoV-2 transmissions in our cohort from case-patients in their presymptomatic phase exceeds reported transmission rates from other investigations (,,). Possible reasons are the prior evidence that infectiousness peaks around the date of symptom onset, declining thereafter (), and that case-patients probably reduced social contacts themselves once they experienced symptoms or when ordered to self-isolate. A large proportion of cases with presymptomatic transmission in our cluster is further supported by the median serial interval of 3 days. Of note are the consequences for public health management: first, the need for early detection of COVID-19 cases and for initiation of contact tracing as soon as possible to quarantine close contacts, particularly because short serial intervals may lead to further transmission chains. Second, suspect case-patients or persons with any respiratory illness should immediately self-isolate and inform their contacts met in the presymptomatic and symptomatic phases. A limitation of our study is that evidence was obtained from a single outbreak and might not be applicable to other settings. We used only information as recalled by the case-patients, which is imperfect and may introduce errors or bias. Because we used development of respiratory symptoms as a proxy for possible SARS-CoV-2 infections among contacts, and because incidence of respiratory illnesses was still high in this winter timeframe, SARres may be overestimated. However, this possible source of misclassification should be nondifferential between groups. We excluded many HCs because of uncertainties about the potential simultaneous introduction of SARS-CoV-2 in the household, which may have led to an underestimation of SAR among HCs. In the transmission tree, we had to omit various source case–infectee pairs because case-patients’ recalled symptom onset differed substantially from surveillance data and was not plausible (Appendix). Finally, although community transmission of SARS-CoV-2 was deemed unlikely in the affected district at the time, we cannot rule out that some cases acquired infections from other sources. In conclusion, our study suggests that asymptomatic cases are unlikely to contribute substantially to the spread of SARS-CoV-2. COVID-19 cases should be detected and managed early to quarantine close contacts immediately and prevent presymptomatic transmissions.

Appendix

Additional information for asymptomatic and presymptomatic transmission of SARS-CoV-2 in COVID-19 cluster, Germany, 2020.
  15 in total

Review 1.  Prevalence of Asymptomatic SARS-CoV-2 Infection : A Narrative Review.

Authors:  Daniel P Oran; Eric J Topol
Journal:  Ann Intern Med       Date:  2020-06-03       Impact factor: 25.391

2.  Coronavirus Disease Outbreak in Call Center, South Korea.

Authors:  Shin Young Park; Young-Man Kim; Seonju Yi; Sangeun Lee; Baeg-Ju Na; Chang Bo Kim; Jung-Il Kim; Hea Sook Kim; Young Bok Kim; Yoojin Park; In Sil Huh; Hye Kyung Kim; Hyung Jun Yoon; Hanaram Jang; Kyungnam Kim; Yeonhwa Chang; Inhye Kim; Hyeyoung Lee; Jin Gwack; Seong Sun Kim; Miyoung Kim; Sanghui Kweon; Young June Choe; Ok Park; Young Joon Park; Eun Kyeong Jeong
Journal:  Emerg Infect Dis       Date:  2020-04-23       Impact factor: 6.883

3.  Contact Tracing Assessment of COVID-19 Transmission Dynamics in Taiwan and Risk at Different Exposure Periods Before and After Symptom Onset.

Authors:  Hao-Yuan Cheng; Shu-Wan Jian; Ding-Ping Liu; Ta-Chou Ng; Wan-Ting Huang; Hsien-Ho Lin
Journal:  JAMA Intern Med       Date:  2020-09-01       Impact factor: 21.873

4.  SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients.

Authors:  Lirong Zou; Feng Ruan; Mingxing Huang; Lijun Liang; Huitao Huang; Zhongsi Hong; Jianxiang Yu; Min Kang; Yingchao Song; Jinyu Xia; Qianfang Guo; Tie Song; Jianfeng He; Hui-Ling Yen; Malik Peiris; Jie Wu
Journal:  N Engl J Med       Date:  2020-02-19       Impact factor: 91.245

5.  Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility.

Authors:  Melissa M Arons; Kelly M Hatfield; Sujan C Reddy; Anne Kimball; Allison James; Jesica R Jacobs; Joanne Taylor; Kevin Spicer; Ana C Bardossy; Lisa P Oakley; Sukarma Tanwar; Jonathan W Dyal; Josh Harney; Zeshan Chisty; Jeneita M Bell; Mark Methner; Prabasaj Paul; Christina M Carlson; Heather P McLaughlin; Natalie Thornburg; Suxiang Tong; Azaibi Tamin; Ying Tao; Anna Uehara; Jennifer Harcourt; Shauna Clark; Claire Brostrom-Smith; Libby C Page; Meagan Kay; James Lewis; Patty Montgomery; Nimalie D Stone; Thomas A Clark; Margaret A Honein; Jeffrey S Duchin; John A Jernigan
Journal:  N Engl J Med       Date:  2020-04-24       Impact factor: 91.245

6.  Potential Presymptomatic Transmission of SARS-CoV-2, Zhejiang Province, China, 2020.

Authors:  Zhen-Dong Tong; An Tang; Ke-Feng Li; Peng Li; Hong-Ling Wang; Jing-Ping Yi; Yong-Li Zhang; Jian-Bo Yan
Journal:  Emerg Infect Dis       Date:  2020-05-17       Impact factor: 6.883

7.  Rapid asymptomatic transmission of COVID-19 during the incubation period demonstrating strong infectivity in a cluster of youngsters aged 16-23 years outside Wuhan and characteristics of young patients with COVID-19: A prospective contact-tracing study.

Authors:  Lei Huang; Xiuwen Zhang; Xinyue Zhang; Zhijian Wei; Lingli Zhang; Jingjing Xu; Peipei Liang; Yuanhong Xu; Chengyuan Zhang; Aman Xu
Journal:  J Infect       Date:  2020-04-10       Impact factor: 6.072

8.  Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.

Authors:  Luca Ferretti; Chris Wymant; David Bonsall; Christophe Fraser; Michelle Kendall; Lele Zhao; Anel Nurtay; Lucie Abeler-Dörner; Michael Parker
Journal:  Science       Date:  2020-03-31       Impact factor: 47.728

9.  A Familial Cluster of Infection Associated With the 2019 Novel Coronavirus Indicating Possible Person-to-Person Transmission During the Incubation Period.

Authors:  Ping Yu; Jiang Zhu; Zhengdong Zhang; Yingjun Han
Journal:  J Infect Dis       Date:  2020-05-11       Impact factor: 5.226

10.  Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020.

Authors:  Tapiwa Ganyani; Cécile Kremer; Dongxuan Chen; Andrea Torneri; Christel Faes; Jacco Wallinga; Niel Hens
Journal:  Euro Surveill       Date:  2020-04
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  13 in total

1.  Factors Associated With Household Transmission of SARS-CoV-2: An Updated Systematic Review and Meta-analysis.

Authors:  Zachary J Madewell; Yang Yang; Ira M Longini; M Elizabeth Halloran; Natalie E Dean
Journal:  JAMA Netw Open       Date:  2021-08-02

Review 2.  [Field investigations of SARS-CoV-2-outbreaks in Germany by the Robert Koch Institute, February-October 2020].

Authors:  Katharina Alpers; Sebastian Haller; Udo Buchholz
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2021-03-17       Impact factor: 1.513

3.  Pitfall of Universal Pre-Admission Screening for SARS-CoV-2 in a Low Prevalence Country.

Authors:  Jiwon Jung; Jinyeong Kim; Joon Seo Lim; Eun Ok Kim; Mi-Na Kim; Sung-Han Kim
Journal:  Viruses       Date:  2021-04-30       Impact factor: 5.048

4.  A behavioural modelling approach to assess the impact of COVID-19 vaccine hesitancy.

Authors:  Bruno Buonomo; Rossella Della Marca; Alberto d'Onofrio; Maria Groppi
Journal:  J Theor Biol       Date:  2021-12-08       Impact factor: 2.691

5.  Dynamics of Viral Shedding and Symptoms in Patients with Asymptomatic or Mild COVID-19.

Authors:  Seongman Bae; Ji Yeun Kim; So Yun Lim; Heedo Park; Hye Hee Cha; Ji-Soo Kwon; Mi Hyun Suh; Hyun Jung Lee; Joon Seo Lim; Jiwon Jung; Min Jae Kim; Yong Pil Chong; Sang-Oh Lee; Sang-Ho Choi; Yang Soo Kim; Ho Young Lee; Sohyun Lee; Man-Seong Park; Sung-Han Kim
Journal:  Viruses       Date:  2021-10-22       Impact factor: 5.048

6.  Low Sensitivity of Rapid Antigen Tests to Detect Severe Acute Respiratory Syndrome Coronavirus 2 Infections Before and on the Day of Symptom Onset in Nursing Home Staff and Residents, Germany, January-March 2021.

Authors:  Jennifer K Bender; Emily D Meyer; Mirco Sandfort; Dorothea Matysiak-Klose; Gerhard Bojara; Wiebke Hellenbrand
Journal:  J Infect Dis       Date:  2021-12-01       Impact factor: 5.226

7.  Infection control strategies for patients and accompanying persons during the COVID-19 pandemic in German hospitals: a cross-sectional study in March-April 2021.

Authors:  A Bludau; S Heinemann; A A Mardiko; H E J Kaba; A Leha; N von Maltzahn; N T Mutters; R Leistner; F Mattner; S Scheithauer
Journal:  J Hosp Infect       Date:  2022-04-09       Impact factor: 8.944

8.  A semi-parametric, state-space compartmental model with time-dependent parameters for forecasting COVID-19 cases, hospitalizations and deaths.

Authors:  Eamon B O'Dea; John M Drake
Journal:  J R Soc Interface       Date:  2022-02-16       Impact factor: 4.118

9.  Comparison of Saliva and Midturbinate Swabs for Detection of SARS-CoV-2.

Authors:  Jianyu Lai; Jennifer German; Filbert Hong; S-H Sheldon Tai; Kathleen M McPhaul; Donald K Milton
Journal:  Microbiol Spectr       Date:  2022-03-21

10.  Risk Stratification of SARS-CoV-2 Breakthrough Infections Based on an Outbreak at a Student Festive Event.

Authors:  Ralph Bertram; Vanessa Bartsch; Johanna Sodmann; Luca Hennig; Engin Müjde; Jonathan Stock; Vivienne Ruedig; Philipp Sodmann; Daniel Todt; Eike Steinmann; Wolfgang Hitzl; Joerg Steinmann
Journal:  Vaccines (Basel)       Date:  2022-03-11
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