Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020
Objectives: To identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures. Methods: We conducted tracing and confirmation among hospital and community contacts. We telephonically interviewed and abstracted...
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2021
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oai:doaj.org-article:26d1836ec7624a54aced943bb75e7e3c2021-11-10T04:25:54ZEpidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 20202213-398410.1016/j.cegh.2021.100889https://doaj.org/article/26d1836ec7624a54aced943bb75e7e3c2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2213398421001974https://doaj.org/toc/2213-3984Objectives: To identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures. Methods: We conducted tracing and confirmation among hospital and community contacts. We telephonically interviewed and abstracted information from hospital records and registers. We described the cluster by time, place and person. We conducted unmatched case-control study to compare risk factors and computed Odds Ratio (OR) and 95% confidence interval. Results: We confirmed COVID-19 in 21 of 1478 tested (1.4%). Secondary attack (%) of COVID-19 among 824 contacts was higher among in-patients of block A (18), household contacts (3.4), housekeeping staff (3.3) and nurses (1.7). The cluster started on April 22 with two successive peaks five days apart and lasted until May 8. Being male, patients aged >33 years [OR = 30·7; 95% CI = 3·6 to 264], having hypertension [OR = 4·3; 95% CI = 1·1 to 16·7] or diabetes [OR = 3·8; 95% CI = 1·0 to 14·1] were associated with COVID-19. Mask compliance was poor (20%) among hospital workers. Discussion: We recommended screening of all patients for diabetes and hypertension and isolation/testing of anyone with influenza-like illness for preventing COVID-19 clusters in hospital settings.Suganya BaraniNuzrath JahanMathan KaruppiahSirshendu ChaudhuriMohankumar RajuManickam PonnaiahSwaminathan RajaramanVenktesh VaidhyalingamParasuraman GaneshkumarGirish Kumar CPSendhilkumar MuthappanJegadeesan MurugesanMahalakshmi SrinivasanUsha KrishnanAlby John VargheseElsevierarticleCOVID-19SARS-CoV-2Disease outbreaksHospital clusterPublic aspects of medicineRA1-1270ENClinical Epidemiology and Global Health, Vol 12, Iss , Pp 100889- (2021) |
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COVID-19 SARS-CoV-2 Disease outbreaks Hospital cluster Public aspects of medicine RA1-1270 |
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COVID-19 SARS-CoV-2 Disease outbreaks Hospital cluster Public aspects of medicine RA1-1270 Suganya Barani Nuzrath Jahan Mathan Karuppiah Sirshendu Chaudhuri Mohankumar Raju Manickam Ponnaiah Swaminathan Rajaraman Venktesh Vaidhyalingam Parasuraman Ganeshkumar Girish Kumar CP Sendhilkumar Muthappan Jegadeesan Murugesan Mahalakshmi Srinivasan Usha Krishnan Alby John Varghese Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020 |
description |
Objectives: To identify risk factors associated with Coronavirus disease 2019 (COVID-19) in a Tertiary care cancer hospital-based cluster and recommend control measures. Methods: We conducted tracing and confirmation among hospital and community contacts. We telephonically interviewed and abstracted information from hospital records and registers. We described the cluster by time, place and person. We conducted unmatched case-control study to compare risk factors and computed Odds Ratio (OR) and 95% confidence interval. Results: We confirmed COVID-19 in 21 of 1478 tested (1.4%). Secondary attack (%) of COVID-19 among 824 contacts was higher among in-patients of block A (18), household contacts (3.4), housekeeping staff (3.3) and nurses (1.7). The cluster started on April 22 with two successive peaks five days apart and lasted until May 8. Being male, patients aged >33 years [OR = 30·7; 95% CI = 3·6 to 264], having hypertension [OR = 4·3; 95% CI = 1·1 to 16·7] or diabetes [OR = 3·8; 95% CI = 1·0 to 14·1] were associated with COVID-19. Mask compliance was poor (20%) among hospital workers. Discussion: We recommended screening of all patients for diabetes and hypertension and isolation/testing of anyone with influenza-like illness for preventing COVID-19 clusters in hospital settings. |
format |
article |
author |
Suganya Barani Nuzrath Jahan Mathan Karuppiah Sirshendu Chaudhuri Mohankumar Raju Manickam Ponnaiah Swaminathan Rajaraman Venktesh Vaidhyalingam Parasuraman Ganeshkumar Girish Kumar CP Sendhilkumar Muthappan Jegadeesan Murugesan Mahalakshmi Srinivasan Usha Krishnan Alby John Varghese |
author_facet |
Suganya Barani Nuzrath Jahan Mathan Karuppiah Sirshendu Chaudhuri Mohankumar Raju Manickam Ponnaiah Swaminathan Rajaraman Venktesh Vaidhyalingam Parasuraman Ganeshkumar Girish Kumar CP Sendhilkumar Muthappan Jegadeesan Murugesan Mahalakshmi Srinivasan Usha Krishnan Alby John Varghese |
author_sort |
Suganya Barani |
title |
Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020 |
title_short |
Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020 |
title_full |
Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020 |
title_fullStr |
Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020 |
title_full_unstemmed |
Epidemiology of hospital-based COVID- 19 cluster in a tertiary care cancer hospital, Chennai, India 2020 |
title_sort |
epidemiology of hospital-based covid- 19 cluster in a tertiary care cancer hospital, chennai, india 2020 |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/26d1836ec7624a54aced943bb75e7e3c |
work_keys_str_mv |
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