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Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020–2022
Introduction: Tuberculosis (TB) and COVID-19 are highly transmissible diseases and pose a serious risk to public health. Unfortunately, information on cross-risk between the two diseases was still sparse. Our main objective was to estimate the excess risk among TB patients in getting COVID-19 infect...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485793/ https://www.ncbi.nlm.nih.gov/pubmed/37692189 http://dx.doi.org/10.7759/cureus.44857 |
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author | Palupi, Satiti Chongsuvivatwong, Virasakdi Surya, Asik Suyanto, Suyanto Kumwichar, Ponlagrit |
author_facet | Palupi, Satiti Chongsuvivatwong, Virasakdi Surya, Asik Suyanto, Suyanto Kumwichar, Ponlagrit |
author_sort | Palupi, Satiti |
collection | PubMed |
description | Introduction: Tuberculosis (TB) and COVID-19 are highly transmissible diseases and pose a serious risk to public health. Unfortunately, information on cross-risk between the two diseases was still sparse. Our main objective was to estimate the excess risk among TB patients in getting COVID-19 infection and vice versa. Methods: The study design was a series of analyses of existing data from TB and COVID-19 registries in East Java Province, Indonesia. The study period was from January 2020 to June 2022. Case-by-case data for this study were obtained from the registration systems for TB and COVID-19 in separate databases. In comparing risk across different groups, adjusting for differences in risk factors that influence the outcome was essential. We overcame this problem by employing a standardized morbidity ratio. Results: Among 92,424 newly diagnosed TB patients, 1,326 were subsequently infected with COVID-19 during the study period, compared with 1,679 expected. The standardized morbidity ratio (95% confidence interval) was 72.61% (60.19%, 85.03%). Among 635,946 newly diagnosed COVID-19-infected patients, 987 subsequently got active TB during the study period against 1,679 expected. The standardized morbidity ratio (95% confidence interval) was 55.33% (49.24%, 61.42%). Conclusion: There was no evidence of excess risk in either direction, the excess risk among TB patients in getting COVID-19 infection and vice versa. |
format | Online Article Text |
id | pubmed-10485793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-104857932023-09-09 Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020–2022 Palupi, Satiti Chongsuvivatwong, Virasakdi Surya, Asik Suyanto, Suyanto Kumwichar, Ponlagrit Cureus Infectious Disease Introduction: Tuberculosis (TB) and COVID-19 are highly transmissible diseases and pose a serious risk to public health. Unfortunately, information on cross-risk between the two diseases was still sparse. Our main objective was to estimate the excess risk among TB patients in getting COVID-19 infection and vice versa. Methods: The study design was a series of analyses of existing data from TB and COVID-19 registries in East Java Province, Indonesia. The study period was from January 2020 to June 2022. Case-by-case data for this study were obtained from the registration systems for TB and COVID-19 in separate databases. In comparing risk across different groups, adjusting for differences in risk factors that influence the outcome was essential. We overcame this problem by employing a standardized morbidity ratio. Results: Among 92,424 newly diagnosed TB patients, 1,326 were subsequently infected with COVID-19 during the study period, compared with 1,679 expected. The standardized morbidity ratio (95% confidence interval) was 72.61% (60.19%, 85.03%). Among 635,946 newly diagnosed COVID-19-infected patients, 987 subsequently got active TB during the study period against 1,679 expected. The standardized morbidity ratio (95% confidence interval) was 55.33% (49.24%, 61.42%). Conclusion: There was no evidence of excess risk in either direction, the excess risk among TB patients in getting COVID-19 infection and vice versa. Cureus 2023-09-07 /pmc/articles/PMC10485793/ /pubmed/37692189 http://dx.doi.org/10.7759/cureus.44857 Text en Copyright © 2023, Palupi et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Infectious Disease Palupi, Satiti Chongsuvivatwong, Virasakdi Surya, Asik Suyanto, Suyanto Kumwichar, Ponlagrit Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020–2022 |
title | Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020–2022 |
title_full | Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020–2022 |
title_fullStr | Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020–2022 |
title_full_unstemmed | Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020–2022 |
title_short | Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020–2022 |
title_sort | cross-risk between tuberculosis and covid-19 in east java province, indonesia: an analysis of tuberculosis and covid-19 surveillance registry period 2020–2022 |
topic | Infectious Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485793/ https://www.ncbi.nlm.nih.gov/pubmed/37692189 http://dx.doi.org/10.7759/cureus.44857 |
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