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Interrupted time-series analysis of active case-finding for tuberculosis during the COVID-19 pandemic, Zambia

OBJECTIVE: To evaluate the impact of the coronavirus disease 2019 (COVID-19) pandemic and the subsequent implementation of tuberculosis response measures on tuberculosis notifications in Zambia. METHODS: We used an interrupted time-series design to compare monthly tuberculosis notifications in Zambi...

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Autores principales: Lungu, Patrick S, Kerkhoff, Andrew D, Muyoyeta, Monde, Kasapo, Clara C, Nyangu, Sarah, Kagujje, Mary, Chimzizi, Rhehab, Nyimbili, Sulani, Khunga, Morton, Kasese-Chanda, Nancy, Musonda, Victoria, Tambatamba, Bushimbwa, Kombe, Christopher M, Sakulanda, Charles, Sampa, Kizito, Silumesii, Andrew, Malama, Kennedy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886254/
https://www.ncbi.nlm.nih.gov/pubmed/35261409
http://dx.doi.org/10.2471/BLT.21.286109
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author Lungu, Patrick S
Kerkhoff, Andrew D
Muyoyeta, Monde
Kasapo, Clara C
Nyangu, Sarah
Kagujje, Mary
Chimzizi, Rhehab
Nyimbili, Sulani
Khunga, Morton
Kasese-Chanda, Nancy
Musonda, Victoria
Tambatamba, Bushimbwa
Kombe, Christopher M
Sakulanda, Charles
Sampa, Kizito
Silumesii, Andrew
Malama, Kennedy
author_facet Lungu, Patrick S
Kerkhoff, Andrew D
Muyoyeta, Monde
Kasapo, Clara C
Nyangu, Sarah
Kagujje, Mary
Chimzizi, Rhehab
Nyimbili, Sulani
Khunga, Morton
Kasese-Chanda, Nancy
Musonda, Victoria
Tambatamba, Bushimbwa
Kombe, Christopher M
Sakulanda, Charles
Sampa, Kizito
Silumesii, Andrew
Malama, Kennedy
author_sort Lungu, Patrick S
collection PubMed
description OBJECTIVE: To evaluate the impact of the coronavirus disease 2019 (COVID-19) pandemic and the subsequent implementation of tuberculosis response measures on tuberculosis notifications in Zambia. METHODS: We used an interrupted time-series design to compare monthly tuberculosis notifications in Zambia before the pandemic (January 2019 to February 2020), after implementation of national pandemic mitigation measures (April 2020 to June 2020) and after response measures to improve tuberculosis detection (August 2020 to September 2021). The tuberculosis response included enhanced data surveillance, facility-based active case-finding and activities to generate demand for services. We used nationally aggregated, facility-level tuberculosis notification data for the analysis. FINDINGS: Pre-pandemic tuberculosis case notifications rose steadily from 2890 in January 2019 to 3337 in February 2020. After the start of the pandemic and mitigation measures, there was a −22% (95% confidence interval, CI: −24 to −19) immediate decline in notifications in April 2020. Larger immediate declines in notifications were seen among human immunodeficiency virus (HIV)-positive compared with HIV-negative individuals (−36%; 95% CI: −38 to −35; versus −12%; 95% CI: −17 to −6). Following roll-out of tuberculosis response measures in July 2020, notifications immediately increased by 45% (95% CI: 38 to 51) nationally and across all subgroups and provinces. The trend in notifications remained stable through September 2021, with similar numbers to the predicted number had the pandemic not occurred. CONCLUSION: Implementation of a coordinated public health response including active tuberculosis case-finding was associated with reversal of the adverse impact of the pandemic and mitigation measures. The gains were sustained throughout subsequent waves of the pandemic.
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spelling pubmed-88862542022-03-07 Interrupted time-series analysis of active case-finding for tuberculosis during the COVID-19 pandemic, Zambia Lungu, Patrick S Kerkhoff, Andrew D Muyoyeta, Monde Kasapo, Clara C Nyangu, Sarah Kagujje, Mary Chimzizi, Rhehab Nyimbili, Sulani Khunga, Morton Kasese-Chanda, Nancy Musonda, Victoria Tambatamba, Bushimbwa Kombe, Christopher M Sakulanda, Charles Sampa, Kizito Silumesii, Andrew Malama, Kennedy Bull World Health Organ Research OBJECTIVE: To evaluate the impact of the coronavirus disease 2019 (COVID-19) pandemic and the subsequent implementation of tuberculosis response measures on tuberculosis notifications in Zambia. METHODS: We used an interrupted time-series design to compare monthly tuberculosis notifications in Zambia before the pandemic (January 2019 to February 2020), after implementation of national pandemic mitigation measures (April 2020 to June 2020) and after response measures to improve tuberculosis detection (August 2020 to September 2021). The tuberculosis response included enhanced data surveillance, facility-based active case-finding and activities to generate demand for services. We used nationally aggregated, facility-level tuberculosis notification data for the analysis. FINDINGS: Pre-pandemic tuberculosis case notifications rose steadily from 2890 in January 2019 to 3337 in February 2020. After the start of the pandemic and mitigation measures, there was a −22% (95% confidence interval, CI: −24 to −19) immediate decline in notifications in April 2020. Larger immediate declines in notifications were seen among human immunodeficiency virus (HIV)-positive compared with HIV-negative individuals (−36%; 95% CI: −38 to −35; versus −12%; 95% CI: −17 to −6). Following roll-out of tuberculosis response measures in July 2020, notifications immediately increased by 45% (95% CI: 38 to 51) nationally and across all subgroups and provinces. The trend in notifications remained stable through September 2021, with similar numbers to the predicted number had the pandemic not occurred. CONCLUSION: Implementation of a coordinated public health response including active tuberculosis case-finding was associated with reversal of the adverse impact of the pandemic and mitigation measures. The gains were sustained throughout subsequent waves of the pandemic. World Health Organization 2022-03-01 2022-01-25 /pmc/articles/PMC8886254/ /pubmed/35261409 http://dx.doi.org/10.2471/BLT.21.286109 Text en (c) 2022 The authors; licensee World Health Organization. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode (https://creativecommons.org/licenses/by/3.0/igo/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
Lungu, Patrick S
Kerkhoff, Andrew D
Muyoyeta, Monde
Kasapo, Clara C
Nyangu, Sarah
Kagujje, Mary
Chimzizi, Rhehab
Nyimbili, Sulani
Khunga, Morton
Kasese-Chanda, Nancy
Musonda, Victoria
Tambatamba, Bushimbwa
Kombe, Christopher M
Sakulanda, Charles
Sampa, Kizito
Silumesii, Andrew
Malama, Kennedy
Interrupted time-series analysis of active case-finding for tuberculosis during the COVID-19 pandemic, Zambia
title Interrupted time-series analysis of active case-finding for tuberculosis during the COVID-19 pandemic, Zambia
title_full Interrupted time-series analysis of active case-finding for tuberculosis during the COVID-19 pandemic, Zambia
title_fullStr Interrupted time-series analysis of active case-finding for tuberculosis during the COVID-19 pandemic, Zambia
title_full_unstemmed Interrupted time-series analysis of active case-finding for tuberculosis during the COVID-19 pandemic, Zambia
title_short Interrupted time-series analysis of active case-finding for tuberculosis during the COVID-19 pandemic, Zambia
title_sort interrupted time-series analysis of active case-finding for tuberculosis during the covid-19 pandemic, zambia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886254/
https://www.ncbi.nlm.nih.gov/pubmed/35261409
http://dx.doi.org/10.2471/BLT.21.286109
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