Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study
•Household settings give a clearer picture of infectious disease transmission dynamics.•Four dimensions of risk factors for understanding secondary infection are proposed.•A high secondary attack rate highlights the need for COVID-appropriate behaviours.•A targeted approach could be adopted in limit...
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Veröffentlicht in: | IJID regions 2023-06, Vol.7, p.22-30 |
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creator | Islam, Farzana Alvi, Yasir Ahmad, Mohammad Ahmed, Faheem Rahman, Anisur Singh, Farishta Hannah D. Das, Ayan Kumar Dudeja, Mridu Gupta, Ekta Agarwalla, Rashmi Alam, Iqbal Roy, Sushovan |
description | •Household settings give a clearer picture of infectious disease transmission dynamics.•Four dimensions of risk factors for understanding secondary infection are proposed.•A high secondary attack rate highlights the need for COVID-appropriate behaviours.•A targeted approach could be adopted in limiting disease among household contacts.•Our four-dimensional approach to understanding household transmission is relevant.
The aim of this study was to observe the secondary infection rate and transmission dynamics of COVID-19 among household contacts, and their associations with various factors across four dimensions of interaction.
This was a case-ascertained study among unvaccinated household contacts of a laboratory-confirmed COVID-19 case in New Delhi between December 2020 and July 2021. For this study, 99 index cases and their 316 household contacts were interviewed and sampled (blood and oro-nasal swab) on days 1, 7, 14, and 28.
The secondary infection rate among unvaccinated household contacts was 44.6% (95% confidence interval (CI) 39.1–50.1). The predictors of secondary infection among individual contact levels were: being female (odds ratio (OR) 2.13), increasing age (OR 1.01), symptoms at baseline (OR 3.39), and symptoms during follow-up (OR 3.18). Among index cases, age of the primary case (OR 1.03) and symptoms during follow-up (OR 6.29) were significantly associated with secondary infection. Among household-level and contact patterns, having more rooms (OR 4.44) and taking care of the index case (OR 2.02) were significantly associated with secondary infection.
A high secondary infection rate highlights the need to adopt strict measures and advocate COVID-19-appropriate behaviors. A targeted approach for higher-risk household contacts would efficiently limit infections among susceptible contacts.
[Display omitted] |
doi_str_mv | 10.1016/j.ijregi.2023.02.005 |
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The aim of this study was to observe the secondary infection rate and transmission dynamics of COVID-19 among household contacts, and their associations with various factors across four dimensions of interaction.
This was a case-ascertained study among unvaccinated household contacts of a laboratory-confirmed COVID-19 case in New Delhi between December 2020 and July 2021. For this study, 99 index cases and their 316 household contacts were interviewed and sampled (blood and oro-nasal swab) on days 1, 7, 14, and 28.
The secondary infection rate among unvaccinated household contacts was 44.6% (95% confidence interval (CI) 39.1–50.1). The predictors of secondary infection among individual contact levels were: being female (odds ratio (OR) 2.13), increasing age (OR 1.01), symptoms at baseline (OR 3.39), and symptoms during follow-up (OR 3.18). Among index cases, age of the primary case (OR 1.03) and symptoms during follow-up (OR 6.29) were significantly associated with secondary infection. Among household-level and contact patterns, having more rooms (OR 4.44) and taking care of the index case (OR 2.02) were significantly associated with secondary infection.
A high secondary infection rate highlights the need to adopt strict measures and advocate COVID-19-appropriate behaviors. A targeted approach for higher-risk household contacts would efficiently limit infections among susceptible contacts.
[Display omitted]</description><identifier>ISSN: 2772-7076</identifier><identifier>EISSN: 2772-7076</identifier><identifier>DOI: 10.1016/j.ijregi.2023.02.005</identifier><identifier>PMID: 36852156</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>close-contact transmission ; community spread ; COVID-19 ; epidemiological characteristics ; secondary attack rate</subject><ispartof>IJID regions, 2023-06, Vol.7, p.22-30</ispartof><rights>2023 The Author(s)</rights><rights>2023 The Author(s).</rights><rights>2023 The Authors 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-816a39d31db38b2758c31f9b129b7ede1162bcaccd4e41416703c04b26ebdb943</citedby><cites>FETCH-LOGICAL-c463t-816a39d31db38b2758c31f9b129b7ede1162bcaccd4e41416703c04b26ebdb943</cites><orcidid>0000-0002-8601-4440 ; 0000-0003-0461-9372 ; 0000-0002-5910-7289 ; 0000-0002-1686-532X ; 0000-0001-9451-2434 ; 0000-0002-8438-4245 ; 0000-0003-2421-4209</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/PMC9946776/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946776/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36852156$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Islam, Farzana</creatorcontrib><creatorcontrib>Alvi, Yasir</creatorcontrib><creatorcontrib>Ahmad, Mohammad</creatorcontrib><creatorcontrib>Ahmed, Faheem</creatorcontrib><creatorcontrib>Rahman, Anisur</creatorcontrib><creatorcontrib>Singh, Farishta Hannah D.</creatorcontrib><creatorcontrib>Das, Ayan Kumar</creatorcontrib><creatorcontrib>Dudeja, Mridu</creatorcontrib><creatorcontrib>Gupta, Ekta</creatorcontrib><creatorcontrib>Agarwalla, Rashmi</creatorcontrib><creatorcontrib>Alam, Iqbal</creatorcontrib><creatorcontrib>Roy, Sushovan</creatorcontrib><title>Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study</title><title>IJID regions</title><addtitle>IJID Reg</addtitle><description>•Household settings give a clearer picture of infectious disease transmission dynamics.•Four dimensions of risk factors for understanding secondary infection are proposed.•A high secondary attack rate highlights the need for COVID-appropriate behaviours.•A targeted approach could be adopted in limiting disease among household contacts.•Our four-dimensional approach to understanding household transmission is relevant.
The aim of this study was to observe the secondary infection rate and transmission dynamics of COVID-19 among household contacts, and their associations with various factors across four dimensions of interaction.
This was a case-ascertained study among unvaccinated household contacts of a laboratory-confirmed COVID-19 case in New Delhi between December 2020 and July 2021. For this study, 99 index cases and their 316 household contacts were interviewed and sampled (blood and oro-nasal swab) on days 1, 7, 14, and 28.
The secondary infection rate among unvaccinated household contacts was 44.6% (95% confidence interval (CI) 39.1–50.1). The predictors of secondary infection among individual contact levels were: being female (odds ratio (OR) 2.13), increasing age (OR 1.01), symptoms at baseline (OR 3.39), and symptoms during follow-up (OR 3.18). Among index cases, age of the primary case (OR 1.03) and symptoms during follow-up (OR 6.29) were significantly associated with secondary infection. Among household-level and contact patterns, having more rooms (OR 4.44) and taking care of the index case (OR 2.02) were significantly associated with secondary infection.
A high secondary infection rate highlights the need to adopt strict measures and advocate COVID-19-appropriate behaviors. A targeted approach for higher-risk household contacts would efficiently limit infections among susceptible contacts.
[Display omitted]</description><subject>close-contact transmission</subject><subject>community spread</subject><subject>COVID-19</subject><subject>epidemiological characteristics</subject><subject>secondary attack rate</subject><issn>2772-7076</issn><issn>2772-7076</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kU1vEzEQhi0EolXpP0DIRw7s4q-1dzkgoRRopEq9AFfLH5PE0a6d2ptI-fd1SSnlwmlGmpl3Zt4HobeUtJRQ-XHbhm2GdWgZYbwlrCWke4HOmVKsUUTJl8_yM3RZypYQwtQgCGev0RmXfcdoJ8_R3XXaF9ik0eM5m1imUEpIEftjNFNwBacVXtz-Wl41dMBmSnGNM5TgIc6_a1cwbsIHvIw-mE_Y4F1OZQduDgfAzhRoTHGQZxMieFzmvT--Qa9WZixw-Rgv0M9vX38srpub2-_LxZebxgnJ56an0vDBc-ot7y1TXe84XQ2WssEq8ECpZNYZ57wAQQWVinBHhGUSrLeD4Bfo80l3t7cTeFcvzmbUuxwmk486maD_rcSw0et00MMgpFKyCrx_FMjpbg9l1tUcB-NoIlTTNFN9dVd2vKut4tTq6vslw-ppDSX6AZje6hMw_QBME6YrsDr27vmJT0N_8Pz9AapRhwBZFxcgOvAhV5O1T-H_G-4B0mKqmw</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Islam, Farzana</creator><creator>Alvi, Yasir</creator><creator>Ahmad, Mohammad</creator><creator>Ahmed, Faheem</creator><creator>Rahman, Anisur</creator><creator>Singh, Farishta Hannah D.</creator><creator>Das, Ayan Kumar</creator><creator>Dudeja, Mridu</creator><creator>Gupta, Ekta</creator><creator>Agarwalla, Rashmi</creator><creator>Alam, Iqbal</creator><creator>Roy, Sushovan</creator><general>Elsevier Ltd</general><general>The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8601-4440</orcidid><orcidid>https://orcid.org/0000-0003-0461-9372</orcidid><orcidid>https://orcid.org/0000-0002-5910-7289</orcidid><orcidid>https://orcid.org/0000-0002-1686-532X</orcidid><orcidid>https://orcid.org/0000-0001-9451-2434</orcidid><orcidid>https://orcid.org/0000-0002-8438-4245</orcidid><orcidid>https://orcid.org/0000-0003-2421-4209</orcidid></search><sort><creationdate>20230601</creationdate><title>Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study</title><author>Islam, Farzana ; Alvi, Yasir ; Ahmad, Mohammad ; Ahmed, Faheem ; Rahman, Anisur ; Singh, Farishta Hannah D. ; Das, Ayan Kumar ; Dudeja, Mridu ; Gupta, Ekta ; Agarwalla, Rashmi ; Alam, Iqbal ; Roy, Sushovan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-816a39d31db38b2758c31f9b129b7ede1162bcaccd4e41416703c04b26ebdb943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>close-contact transmission</topic><topic>community spread</topic><topic>COVID-19</topic><topic>epidemiological characteristics</topic><topic>secondary attack rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Islam, Farzana</creatorcontrib><creatorcontrib>Alvi, Yasir</creatorcontrib><creatorcontrib>Ahmad, Mohammad</creatorcontrib><creatorcontrib>Ahmed, Faheem</creatorcontrib><creatorcontrib>Rahman, Anisur</creatorcontrib><creatorcontrib>Singh, Farishta Hannah D.</creatorcontrib><creatorcontrib>Das, Ayan Kumar</creatorcontrib><creatorcontrib>Dudeja, Mridu</creatorcontrib><creatorcontrib>Gupta, Ekta</creatorcontrib><creatorcontrib>Agarwalla, Rashmi</creatorcontrib><creatorcontrib>Alam, Iqbal</creatorcontrib><creatorcontrib>Roy, Sushovan</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>IJID regions</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Islam, Farzana</au><au>Alvi, Yasir</au><au>Ahmad, Mohammad</au><au>Ahmed, Faheem</au><au>Rahman, Anisur</au><au>Singh, Farishta Hannah D.</au><au>Das, Ayan Kumar</au><au>Dudeja, Mridu</au><au>Gupta, Ekta</au><au>Agarwalla, Rashmi</au><au>Alam, Iqbal</au><au>Roy, Sushovan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study</atitle><jtitle>IJID regions</jtitle><addtitle>IJID Reg</addtitle><date>2023-06-01</date><risdate>2023</risdate><volume>7</volume><spage>22</spage><epage>30</epage><pages>22-30</pages><issn>2772-7076</issn><eissn>2772-7076</eissn><abstract>•Household settings give a clearer picture of infectious disease transmission dynamics.•Four dimensions of risk factors for understanding secondary infection are proposed.•A high secondary attack rate highlights the need for COVID-appropriate behaviours.•A targeted approach could be adopted in limiting disease among household contacts.•Our four-dimensional approach to understanding household transmission is relevant.
The aim of this study was to observe the secondary infection rate and transmission dynamics of COVID-19 among household contacts, and their associations with various factors across four dimensions of interaction.
This was a case-ascertained study among unvaccinated household contacts of a laboratory-confirmed COVID-19 case in New Delhi between December 2020 and July 2021. For this study, 99 index cases and their 316 household contacts were interviewed and sampled (blood and oro-nasal swab) on days 1, 7, 14, and 28.
The secondary infection rate among unvaccinated household contacts was 44.6% (95% confidence interval (CI) 39.1–50.1). The predictors of secondary infection among individual contact levels were: being female (odds ratio (OR) 2.13), increasing age (OR 1.01), symptoms at baseline (OR 3.39), and symptoms during follow-up (OR 3.18). Among index cases, age of the primary case (OR 1.03) and symptoms during follow-up (OR 6.29) were significantly associated with secondary infection. Among household-level and contact patterns, having more rooms (OR 4.44) and taking care of the index case (OR 2.02) were significantly associated with secondary infection.
A high secondary infection rate highlights the need to adopt strict measures and advocate COVID-19-appropriate behaviors. A targeted approach for higher-risk household contacts would efficiently limit infections among susceptible contacts.
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subjects | close-contact transmission community spread COVID-19 epidemiological characteristics secondary attack rate |
title | Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study |
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