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COVID-19 contact tracing in a tertiary care hospital: A retrospective chart review
BACKGROUND: Contact tracing is one of the strategies used to control COVID-19 pandemic. It played an important role in the beginning to identify all contacts and minimise the spread of the infection. METHODS: A retrospective chart review was carried out of contact tracing records during the one-mont...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647408/ https://www.ncbi.nlm.nih.gov/pubmed/33195883 http://dx.doi.org/10.1016/j.idm.2020.10.014 |
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author | Tak, Pinki Rohilla, Jitendra |
author_facet | Tak, Pinki Rohilla, Jitendra |
author_sort | Tak, Pinki |
collection | PubMed |
description | BACKGROUND: Contact tracing is one of the strategies used to control COVID-19 pandemic. It played an important role in the beginning to identify all contacts and minimise the spread of the infection. METHODS: A retrospective chart review was carried out of contact tracing records during the one-month period, starting from the onset of the first lockdown in India. The largest wave of 372 contacts was analysed in detail to find out the association between the result of COVID-19 test and various factors (age, gender, type of contact). RESULTS: A total of 372 contacts (214 males and 158 females) were traced and around 21% contacts were tested positive on COVID-19 RT-PCR test. Chi-square test didn’t find the significant difference between COVID-19 test result and proportions of male and female contacts, χ2 (1) 0.033, p = 0.855. Female positive contacts had lower mean age compared to male positive contacts, though not statistically significant, t (75) = - 1.809, p = 0.0745. No difference was found in either median or mean age of contacts with respect to COVID-19 test result. Odds of tested COVID-19 positive among household contacts much higher than community contacts, OR = 24.52, 95% CI 12.45–48.29, p < 0.05. CONCLUSION: No difference was noted in the rate of contracting infection with respect to age and gender of contacts. Type of contact, household or community, significantly affected the probability of becoming infected with the coronavirus. Occupation of primary case was probably responsible for large number of contacts found positive for COVID-19. |
format | Online Article Text |
id | pubmed-7647408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-76474082020-11-09 COVID-19 contact tracing in a tertiary care hospital: A retrospective chart review Tak, Pinki Rohilla, Jitendra Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu BACKGROUND: Contact tracing is one of the strategies used to control COVID-19 pandemic. It played an important role in the beginning to identify all contacts and minimise the spread of the infection. METHODS: A retrospective chart review was carried out of contact tracing records during the one-month period, starting from the onset of the first lockdown in India. The largest wave of 372 contacts was analysed in detail to find out the association between the result of COVID-19 test and various factors (age, gender, type of contact). RESULTS: A total of 372 contacts (214 males and 158 females) were traced and around 21% contacts were tested positive on COVID-19 RT-PCR test. Chi-square test didn’t find the significant difference between COVID-19 test result and proportions of male and female contacts, χ2 (1) 0.033, p = 0.855. Female positive contacts had lower mean age compared to male positive contacts, though not statistically significant, t (75) = - 1.809, p = 0.0745. No difference was found in either median or mean age of contacts with respect to COVID-19 test result. Odds of tested COVID-19 positive among household contacts much higher than community contacts, OR = 24.52, 95% CI 12.45–48.29, p < 0.05. CONCLUSION: No difference was noted in the rate of contracting infection with respect to age and gender of contacts. Type of contact, household or community, significantly affected the probability of becoming infected with the coronavirus. Occupation of primary case was probably responsible for large number of contacts found positive for COVID-19. KeAi Publishing 2020-11-06 /pmc/articles/PMC7647408/ /pubmed/33195883 http://dx.doi.org/10.1016/j.idm.2020.10.014 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu Tak, Pinki Rohilla, Jitendra COVID-19 contact tracing in a tertiary care hospital: A retrospective chart review |
title | COVID-19 contact tracing in a tertiary care hospital: A retrospective chart review |
title_full | COVID-19 contact tracing in a tertiary care hospital: A retrospective chart review |
title_fullStr | COVID-19 contact tracing in a tertiary care hospital: A retrospective chart review |
title_full_unstemmed | COVID-19 contact tracing in a tertiary care hospital: A retrospective chart review |
title_short | COVID-19 contact tracing in a tertiary care hospital: A retrospective chart review |
title_sort | covid-19 contact tracing in a tertiary care hospital: a retrospective chart review |
topic | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647408/ https://www.ncbi.nlm.nih.gov/pubmed/33195883 http://dx.doi.org/10.1016/j.idm.2020.10.014 |
work_keys_str_mv | AT takpinki covid19contacttracinginatertiarycarehospitalaretrospectivechartreview AT rohillajitendra covid19contacttracinginatertiarycarehospitalaretrospectivechartreview |