Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1038/s41467-021-26709-7
- Scopus: eid_2-s2.0-85118683824
- PMID: 34737277
- WOS: WOS:000714754400029
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Using secondary cases to characterize the severity of an emerging or re-emerging infection
Title | Using secondary cases to characterize the severity of an emerging or re-emerging infection |
---|---|
Authors | |
Issue Date | 2021 |
Publisher | Nature Research: Fully open access journals. The Journal's web site is located at http://www.nature.com/ncomms/index.html |
Citation | Nature Communications, 2021, v. 12 n. 1, p. article no. 6372 How to Cite? |
Abstract | The methods to ascertain cases of an emerging infectious disease are typically biased toward cases with more severe disease, which can bias the average infection-severity profile. Here, we conducted a systematic review to extract information on disease severity among index cases and secondary cases identified by contact tracing of index cases for COVID-19. We identified 38 studies to extract information on measures of clinical severity. The proportion of index cases with fever was 43% higher than for secondary cases. The proportion of symptomatic, hospitalized, and fatal illnesses among index cases were 12%, 126%, and 179% higher than for secondary cases, respectively. We developed a statistical model to utilize the severity difference, and estimate 55% of index cases were missed in Wuhan, China. Information on disease severity in secondary cases should be less susceptible to ascertainment bias and could inform estimates of disease severity and the proportion of missed index cases. |
Persistent Identifier | http://hdl.handle.net/10722/308444 |
ISSN | 2023 Impact Factor: 14.7 2023 SCImago Journal Rankings: 4.887 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsang, TK | - |
dc.contributor.author | Wang, C | - |
dc.contributor.author | Yang, B | - |
dc.contributor.author | Cauchemez, S | - |
dc.contributor.author | Cowling, BJ | - |
dc.date.accessioned | 2021-12-01T07:53:26Z | - |
dc.date.available | 2021-12-01T07:53:26Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Nature Communications, 2021, v. 12 n. 1, p. article no. 6372 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | http://hdl.handle.net/10722/308444 | - |
dc.description.abstract | The methods to ascertain cases of an emerging infectious disease are typically biased toward cases with more severe disease, which can bias the average infection-severity profile. Here, we conducted a systematic review to extract information on disease severity among index cases and secondary cases identified by contact tracing of index cases for COVID-19. We identified 38 studies to extract information on measures of clinical severity. The proportion of index cases with fever was 43% higher than for secondary cases. The proportion of symptomatic, hospitalized, and fatal illnesses among index cases were 12%, 126%, and 179% higher than for secondary cases, respectively. We developed a statistical model to utilize the severity difference, and estimate 55% of index cases were missed in Wuhan, China. Information on disease severity in secondary cases should be less susceptible to ascertainment bias and could inform estimates of disease severity and the proportion of missed index cases. | - |
dc.language | eng | - |
dc.publisher | Nature Research: Fully open access journals. The Journal's web site is located at http://www.nature.com/ncomms/index.html | - |
dc.relation.ispartof | Nature Communications | - |
dc.rights | Nature Communications. Copyright © Nature Research: Fully open access journals. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Using secondary cases to characterize the severity of an emerging or re-emerging infection | - |
dc.type | Article | - |
dc.identifier.email | Tsang, TK: matklab@hku.hk | - |
dc.identifier.email | Wang, C: canw@hku.hk | - |
dc.identifier.email | Yang, B: byyang@connect.hku.hk | - |
dc.identifier.email | Cowling, BJ: bcowling@hku.hk | - |
dc.identifier.authority | Tsang, TK=rp02571 | - |
dc.identifier.authority | Cowling, BJ=rp01326 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1038/s41467-021-26709-7 | - |
dc.identifier.pmid | 34737277 | - |
dc.identifier.pmcid | PMC8569220 | - |
dc.identifier.scopus | eid_2-s2.0-85118683824 | - |
dc.identifier.hkuros | 330686 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 6372 | - |
dc.identifier.epage | article no. 6372 | - |
dc.identifier.isi | WOS:000714754400029 | - |
dc.publisher.place | United Kingdom | - |