What do we know about SARS-CoV-2 transmission? A systematic review and meta-analysis of the secondary attack rate and associated risk factors
Current SARS-CoV-2 containment measures rely on controlling viral transmission. Effective prioritization can be determined by understanding SARS-CoV-2 transmission dynamics. We conducted a systematic review and meta-analyses of the secondary attack rate (SAR) in household and healthcare settings. We...
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creator | Koh, Wee Chian Naing, Lin Chaw, Liling Rosledzana, Muhammad Ali Alikhan, Mohammad Fathi Jamaludin, Sirajul Adli Amin, Faezah Omar, Asiah Shazli, Alia Griffith, Matthew Pastore, Roberta Wong, Justin |
description | Current SARS-CoV-2 containment measures rely on controlling viral transmission. Effective prioritization can be determined by understanding SARS-CoV-2 transmission dynamics. We conducted a systematic review and meta-analyses of the secondary attack rate (SAR) in household and healthcare settings. We also examined whether household transmission differed by symptom status of index case, adult and children, and relationship to index case.
We searched PubMed, medRxiv, and bioRxiv databases between January 1 and July 25, 2020. High-quality studies presenting original data for calculating point estimates and 95% confidence intervals (CI) were included. Random effects models were constructed to pool SAR in household and healthcare settings. Publication bias was assessed by funnel plots and Egger's meta-regression test.
43 studies met the inclusion criteria for household SAR, 18 for healthcare SAR, and 17 for other settings. The pooled household SAR was 18.1% (95% CI: 15.7%, 20.6%), with significant heterogeneity across studies ranging from 3.9% to 54.9%. SAR of symptomatic index cases was higher than asymptomatic cases (RR: 3.23; 95% CI: 1.46, 7.14). Adults showed higher susceptibility to infection than children (RR: 1.71; 95% CI: 1.35, 2.17). Spouses of index cases were more likely to be infected compared to other household contacts (RR: 2.39; 95% CI: 1.79, 3.19). In healthcare settings, SAR was estimated at 0.7% (95% CI: 0.4%, 1.0%).
While aggressive contact tracing strategies may be appropriate early in an outbreak, as it progresses, measures should transition to account for setting-specific transmission risk. Quarantine may need to cover entire communities while tracing shifts to identifying transmission hotspots and vulnerable populations. Where possible, confirmed cases should be isolated away from the household. |
doi_str_mv | 10.1371/journal.pone.0240205 |
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We searched PubMed, medRxiv, and bioRxiv databases between January 1 and July 25, 2020. High-quality studies presenting original data for calculating point estimates and 95% confidence intervals (CI) were included. Random effects models were constructed to pool SAR in household and healthcare settings. Publication bias was assessed by funnel plots and Egger's meta-regression test.
43 studies met the inclusion criteria for household SAR, 18 for healthcare SAR, and 17 for other settings. The pooled household SAR was 18.1% (95% CI: 15.7%, 20.6%), with significant heterogeneity across studies ranging from 3.9% to 54.9%. SAR of symptomatic index cases was higher than asymptomatic cases (RR: 3.23; 95% CI: 1.46, 7.14). Adults showed higher susceptibility to infection than children (RR: 1.71; 95% CI: 1.35, 2.17). Spouses of index cases were more likely to be infected compared to other household contacts (RR: 2.39; 95% CI: 1.79, 3.19). In healthcare settings, SAR was estimated at 0.7% (95% CI: 0.4%, 1.0%).
While aggressive contact tracing strategies may be appropriate early in an outbreak, as it progresses, measures should transition to account for setting-specific transmission risk. Quarantine may need to cover entire communities while tracing shifts to identifying transmission hotspots and vulnerable populations. Where possible, confirmed cases should be isolated away from the household.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0240205</identifier><identifier>PMID: 33031427</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Betacoronavirus - physiology ; Biology and life sciences ; Child ; Children ; Confidence intervals ; Contact tracing ; Containment ; Coronavirus Infections - epidemiology ; Coronavirus Infections - prevention & control ; Coronavirus Infections - transmission ; Coronaviruses ; COVID-19 ; Disease control ; Disease hot spots ; Disease Susceptibility ; Disease transmission ; Distribution ; Family ; Health care ; Health Personnel ; Health risks ; Health sciences ; Heterogeneity ; Households ; Humans ; Infections ; Medicine and Health Sciences ; Meta-analysis ; Pandemics - prevention & control ; People and Places ; Physical Sciences ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - prevention & control ; Pneumonia, Viral - transmission ; Quarantine ; Regression analysis ; Research and Analysis Methods ; Risk analysis ; Risk Factors ; SARS-CoV-2 ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Statistical analysis ; Systematic review ; Tracing ; Viral diseases</subject><ispartof>PloS one, 2020-10, Vol.15 (10), p.e0240205-e0240205</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Koh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Koh et al 2020 Koh et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c809t-5e6e64193612137be4bf3db7a8f3e26041d959b96e4ac4686fbfa8c13454aa693</citedby><cites>FETCH-LOGICAL-c809t-5e6e64193612137be4bf3db7a8f3e26041d959b96e4ac4686fbfa8c13454aa693</cites><orcidid>0000-0002-4110-774X ; 0000-0001-8710-5427 ; 0000-0002-8850-2739</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544065/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544065/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33031427$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Leekha, Surbhi</contributor><creatorcontrib>Koh, Wee Chian</creatorcontrib><creatorcontrib>Naing, Lin</creatorcontrib><creatorcontrib>Chaw, Liling</creatorcontrib><creatorcontrib>Rosledzana, Muhammad Ali</creatorcontrib><creatorcontrib>Alikhan, Mohammad Fathi</creatorcontrib><creatorcontrib>Jamaludin, Sirajul Adli</creatorcontrib><creatorcontrib>Amin, Faezah</creatorcontrib><creatorcontrib>Omar, Asiah</creatorcontrib><creatorcontrib>Shazli, Alia</creatorcontrib><creatorcontrib>Griffith, Matthew</creatorcontrib><creatorcontrib>Pastore, Roberta</creatorcontrib><creatorcontrib>Wong, Justin</creatorcontrib><title>What do we know about SARS-CoV-2 transmission? A systematic review and meta-analysis of the secondary attack rate and associated risk factors</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Current SARS-CoV-2 containment measures rely on controlling viral transmission. Effective prioritization can be determined by understanding SARS-CoV-2 transmission dynamics. We conducted a systematic review and meta-analyses of the secondary attack rate (SAR) in household and healthcare settings. We also examined whether household transmission differed by symptom status of index case, adult and children, and relationship to index case.
We searched PubMed, medRxiv, and bioRxiv databases between January 1 and July 25, 2020. High-quality studies presenting original data for calculating point estimates and 95% confidence intervals (CI) were included. Random effects models were constructed to pool SAR in household and healthcare settings. Publication bias was assessed by funnel plots and Egger's meta-regression test.
43 studies met the inclusion criteria for household SAR, 18 for healthcare SAR, and 17 for other settings. The pooled household SAR was 18.1% (95% CI: 15.7%, 20.6%), with significant heterogeneity across studies ranging from 3.9% to 54.9%. SAR of symptomatic index cases was higher than asymptomatic cases (RR: 3.23; 95% CI: 1.46, 7.14). Adults showed higher susceptibility to infection than children (RR: 1.71; 95% CI: 1.35, 2.17). Spouses of index cases were more likely to be infected compared to other household contacts (RR: 2.39; 95% CI: 1.79, 3.19). In healthcare settings, SAR was estimated at 0.7% (95% CI: 0.4%, 1.0%).
While aggressive contact tracing strategies may be appropriate early in an outbreak, as it progresses, measures should transition to account for setting-specific transmission risk. Quarantine may need to cover entire communities while tracing shifts to identifying transmission hotspots and vulnerable populations. Where possible, confirmed cases should be isolated away from the household.</description><subject>Adult</subject><subject>Betacoronavirus - physiology</subject><subject>Biology and life sciences</subject><subject>Child</subject><subject>Children</subject><subject>Confidence intervals</subject><subject>Contact tracing</subject><subject>Containment</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - prevention & control</subject><subject>Coronavirus Infections - transmission</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease control</subject><subject>Disease hot spots</subject><subject>Disease Susceptibility</subject><subject>Disease transmission</subject><subject>Distribution</subject><subject>Family</subject><subject>Health care</subject><subject>Health Personnel</subject><subject>Health risks</subject><subject>Health sciences</subject><subject>Heterogeneity</subject><subject>Households</subject><subject>Humans</subject><subject>Infections</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>Pandemics - 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A systematic review and meta-analysis of the secondary attack rate and associated risk factors</title><author>Koh, Wee Chian ; Naing, Lin ; Chaw, Liling ; Rosledzana, Muhammad Ali ; Alikhan, Mohammad Fathi ; Jamaludin, Sirajul Adli ; Amin, Faezah ; Omar, Asiah ; Shazli, Alia ; Griffith, Matthew ; Pastore, Roberta ; Wong, Justin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c809t-5e6e64193612137be4bf3db7a8f3e26041d959b96e4ac4686fbfa8c13454aa693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Betacoronavirus - physiology</topic><topic>Biology and life sciences</topic><topic>Child</topic><topic>Children</topic><topic>Confidence intervals</topic><topic>Contact tracing</topic><topic>Containment</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Coronavirus Infections - prevention & control</topic><topic>Coronavirus Infections - transmission</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease control</topic><topic>Disease hot spots</topic><topic>Disease Susceptibility</topic><topic>Disease transmission</topic><topic>Distribution</topic><topic>Family</topic><topic>Health care</topic><topic>Health Personnel</topic><topic>Health risks</topic><topic>Health sciences</topic><topic>Heterogeneity</topic><topic>Households</topic><topic>Humans</topic><topic>Infections</topic><topic>Medicine and Health Sciences</topic><topic>Meta-analysis</topic><topic>Pandemics - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koh, Wee Chian</au><au>Naing, Lin</au><au>Chaw, Liling</au><au>Rosledzana, Muhammad Ali</au><au>Alikhan, Mohammad Fathi</au><au>Jamaludin, Sirajul Adli</au><au>Amin, Faezah</au><au>Omar, Asiah</au><au>Shazli, Alia</au><au>Griffith, Matthew</au><au>Pastore, Roberta</au><au>Wong, Justin</au><au>Leekha, Surbhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What do we know about SARS-CoV-2 transmission? A systematic review and meta-analysis of the secondary attack rate and associated risk factors</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-10-08</date><risdate>2020</risdate><volume>15</volume><issue>10</issue><spage>e0240205</spage><epage>e0240205</epage><pages>e0240205-e0240205</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Current SARS-CoV-2 containment measures rely on controlling viral transmission. Effective prioritization can be determined by understanding SARS-CoV-2 transmission dynamics. We conducted a systematic review and meta-analyses of the secondary attack rate (SAR) in household and healthcare settings. We also examined whether household transmission differed by symptom status of index case, adult and children, and relationship to index case.
We searched PubMed, medRxiv, and bioRxiv databases between January 1 and July 25, 2020. High-quality studies presenting original data for calculating point estimates and 95% confidence intervals (CI) were included. Random effects models were constructed to pool SAR in household and healthcare settings. Publication bias was assessed by funnel plots and Egger's meta-regression test.
43 studies met the inclusion criteria for household SAR, 18 for healthcare SAR, and 17 for other settings. The pooled household SAR was 18.1% (95% CI: 15.7%, 20.6%), with significant heterogeneity across studies ranging from 3.9% to 54.9%. SAR of symptomatic index cases was higher than asymptomatic cases (RR: 3.23; 95% CI: 1.46, 7.14). Adults showed higher susceptibility to infection than children (RR: 1.71; 95% CI: 1.35, 2.17). Spouses of index cases were more likely to be infected compared to other household contacts (RR: 2.39; 95% CI: 1.79, 3.19). In healthcare settings, SAR was estimated at 0.7% (95% CI: 0.4%, 1.0%).
While aggressive contact tracing strategies may be appropriate early in an outbreak, as it progresses, measures should transition to account for setting-specific transmission risk. Quarantine may need to cover entire communities while tracing shifts to identifying transmission hotspots and vulnerable populations. Where possible, confirmed cases should be isolated away from the household.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33031427</pmid><doi>10.1371/journal.pone.0240205</doi><tpages>e0240205</tpages><orcidid>https://orcid.org/0000-0002-4110-774X</orcidid><orcidid>https://orcid.org/0000-0001-8710-5427</orcidid><orcidid>https://orcid.org/0000-0002-8850-2739</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2020-10, Vol.15 (10), p.e0240205-e0240205 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2449454533 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adult Betacoronavirus - physiology Biology and life sciences Child Children Confidence intervals Contact tracing Containment Coronavirus Infections - epidemiology Coronavirus Infections - prevention & control Coronavirus Infections - transmission Coronaviruses COVID-19 Disease control Disease hot spots Disease Susceptibility Disease transmission Distribution Family Health care Health Personnel Health risks Health sciences Heterogeneity Households Humans Infections Medicine and Health Sciences Meta-analysis Pandemics - prevention & control People and Places Physical Sciences Pneumonia, Viral - epidemiology Pneumonia, Viral - prevention & control Pneumonia, Viral - transmission Quarantine Regression analysis Research and Analysis Methods Risk analysis Risk Factors SARS-CoV-2 Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Statistical analysis Systematic review Tracing Viral diseases |
title | What do we know about SARS-CoV-2 transmission? A systematic review and meta-analysis of the secondary attack rate and associated risk factors |
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