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Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May–July 2021
In Nepal, case investigation and contact tracing (CICT) was adopted as an important public health measure to reduce COVID-19 transmission. In this study, we assessed the performance of CICT in Madhesh Province of Nepal against national benchmarks, using routine programmatic data reported by district...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230110/ https://www.ncbi.nlm.nih.gov/pubmed/35736977 http://dx.doi.org/10.3390/tropicalmed7060098 |
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author | Thakur, Nishant Vogt, Florian Satyanarayana, Srinath Nair, Divya Garu, Krishna Subedee, Koshal Chandra Mandal, Shrawan Kumar Pokhrel, Amrit Gautam, Dipendra Paudel, Krishna Prasad |
author_facet | Thakur, Nishant Vogt, Florian Satyanarayana, Srinath Nair, Divya Garu, Krishna Subedee, Koshal Chandra Mandal, Shrawan Kumar Pokhrel, Amrit Gautam, Dipendra Paudel, Krishna Prasad |
author_sort | Thakur, Nishant |
collection | PubMed |
description | In Nepal, case investigation and contact tracing (CICT) was adopted as an important public health measure to reduce COVID-19 transmission. In this study, we assessed the performance of CICT in Madhesh Province of Nepal against national benchmarks, using routine programmatic data reported by district CICT teams. Between May and July 2021, 17,943 COVID-19 cases were declared in the province, among which case investigation was performed for 30% (95% CI: 29.6–31.0%) within 24 h (against 80% benchmark). As a result of case investigations, 6067 contacts were identified (3 contacts per 10 cases), of which 40% were traced and tested for SARS-CoV-2 infection (against 100% benchmark). About 60% of the contacts tested positive. At most 14% (95% CI: 13.1% to 14.9%) of traced contacts underwent a 14-day follow-up assessment (against 100% benchmark). We found the performance of the CICT program in Madhesh Province to be sub-optimal and call for corrective measures to strengthen CICT in the province and the country at large. Similar studies with wider geographical scope and longer time frames are needed to identify and address deficiencies in data recording and reporting systems for COVID-19, in low- and middle-income countries like Nepal and others. |
format | Online Article Text |
id | pubmed-9230110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92301102022-06-25 Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May–July 2021 Thakur, Nishant Vogt, Florian Satyanarayana, Srinath Nair, Divya Garu, Krishna Subedee, Koshal Chandra Mandal, Shrawan Kumar Pokhrel, Amrit Gautam, Dipendra Paudel, Krishna Prasad Trop Med Infect Dis Article In Nepal, case investigation and contact tracing (CICT) was adopted as an important public health measure to reduce COVID-19 transmission. In this study, we assessed the performance of CICT in Madhesh Province of Nepal against national benchmarks, using routine programmatic data reported by district CICT teams. Between May and July 2021, 17,943 COVID-19 cases were declared in the province, among which case investigation was performed for 30% (95% CI: 29.6–31.0%) within 24 h (against 80% benchmark). As a result of case investigations, 6067 contacts were identified (3 contacts per 10 cases), of which 40% were traced and tested for SARS-CoV-2 infection (against 100% benchmark). About 60% of the contacts tested positive. At most 14% (95% CI: 13.1% to 14.9%) of traced contacts underwent a 14-day follow-up assessment (against 100% benchmark). We found the performance of the CICT program in Madhesh Province to be sub-optimal and call for corrective measures to strengthen CICT in the province and the country at large. Similar studies with wider geographical scope and longer time frames are needed to identify and address deficiencies in data recording and reporting systems for COVID-19, in low- and middle-income countries like Nepal and others. MDPI 2022-06-10 /pmc/articles/PMC9230110/ /pubmed/35736977 http://dx.doi.org/10.3390/tropicalmed7060098 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Thakur, Nishant Vogt, Florian Satyanarayana, Srinath Nair, Divya Garu, Krishna Subedee, Koshal Chandra Mandal, Shrawan Kumar Pokhrel, Amrit Gautam, Dipendra Paudel, Krishna Prasad Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May–July 2021 |
title | Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May–July 2021 |
title_full | Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May–July 2021 |
title_fullStr | Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May–July 2021 |
title_full_unstemmed | Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May–July 2021 |
title_short | Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May–July 2021 |
title_sort | operational gaps in implementing the covid-19 case investigation and contact tracing in madhesh province of nepal, may–july 2021 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230110/ https://www.ncbi.nlm.nih.gov/pubmed/35736977 http://dx.doi.org/10.3390/tropicalmed7060098 |
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