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Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China
The aim of this study was to explore the effect of temperature on tuberculosis (TB) incidence using the distributed lag non-linear model (DLNM) from 2017 to 2021 in Kashgar city, the region with higher TB incidence than national levels, and assist public health prevention and control measures. From...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466343/ https://www.ncbi.nlm.nih.gov/pubmed/36094714 http://dx.doi.org/10.1007/s11356-022-22849-5 |
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author | Zheng, Yanling Emam, Mawlanjan Lu, Dongmei Tian, Maozai Wang, Kai Peng, Xiaowang |
author_facet | Zheng, Yanling Emam, Mawlanjan Lu, Dongmei Tian, Maozai Wang, Kai Peng, Xiaowang |
author_sort | Zheng, Yanling |
collection | PubMed |
description | The aim of this study was to explore the effect of temperature on tuberculosis (TB) incidence using the distributed lag non-linear model (DLNM) from 2017 to 2021 in Kashgar city, the region with higher TB incidence than national levels, and assist public health prevention and control measures. From January 2017 to December 2021, a total of 8730 cases of TB were reported, with the higher incidence of male than that of female. When temperature was below 1 °C, it was significantly correlated with TB incidence compared to the median observed temperature (15 °C) at lag 7, 14, and 21, and lower temperatures showed larger RR (relative risk) values. High temperature produced a protective effect on TB transmission, and higher temperature from 16 to 31 °C has lower RR. In discussion stratified by gender, the maximum RRs were achieved for both male group and female group at − 15 °C with lag 21, reporting 4.28 and 2.02, respectively. At high temperature (higher than 20 °C), the RR value of developing TB for female group was significantly larger than 1. In discussion stratified by age, the maximum RRs were achieved for all age groups (≤ 35, 36–64, ≥ 65) at − 15 °C with lag 21, reporting 3.20, 2.07, and 3.45, respectively. When the temperature was higher than 20 °C, the RR of the 36–64-year-old group and the ≥ 65-year-old group was significantly larger than 1 at lag 21, while significantly smaller than 1 for cumulative RR at lag 21, reporting 0.11, 95% confidence interval (CI) (0.01, 0.83) and 0.06, 95% CI (0.01, 0.44), respectively. In conclusion, low temperature, especially in extreme level, acts as a high-risk factor inducing TB transmission in Kashgar city. Males exhibit a significantly higher RR of developing TB at low temperature than female, as well as the elderly group in contrast to the young or middle-aged groups. High temperature has a protective effect on TB transmission in the total population, but female and middle-aged and elderly groups are also required to be alert to the delayed RR induced by it. |
format | Online Article Text |
id | pubmed-9466343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94663432022-09-12 Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China Zheng, Yanling Emam, Mawlanjan Lu, Dongmei Tian, Maozai Wang, Kai Peng, Xiaowang Environ Sci Pollut Res Int Research Article The aim of this study was to explore the effect of temperature on tuberculosis (TB) incidence using the distributed lag non-linear model (DLNM) from 2017 to 2021 in Kashgar city, the region with higher TB incidence than national levels, and assist public health prevention and control measures. From January 2017 to December 2021, a total of 8730 cases of TB were reported, with the higher incidence of male than that of female. When temperature was below 1 °C, it was significantly correlated with TB incidence compared to the median observed temperature (15 °C) at lag 7, 14, and 21, and lower temperatures showed larger RR (relative risk) values. High temperature produced a protective effect on TB transmission, and higher temperature from 16 to 31 °C has lower RR. In discussion stratified by gender, the maximum RRs were achieved for both male group and female group at − 15 °C with lag 21, reporting 4.28 and 2.02, respectively. At high temperature (higher than 20 °C), the RR value of developing TB for female group was significantly larger than 1. In discussion stratified by age, the maximum RRs were achieved for all age groups (≤ 35, 36–64, ≥ 65) at − 15 °C with lag 21, reporting 3.20, 2.07, and 3.45, respectively. When the temperature was higher than 20 °C, the RR of the 36–64-year-old group and the ≥ 65-year-old group was significantly larger than 1 at lag 21, while significantly smaller than 1 for cumulative RR at lag 21, reporting 0.11, 95% confidence interval (CI) (0.01, 0.83) and 0.06, 95% CI (0.01, 0.44), respectively. In conclusion, low temperature, especially in extreme level, acts as a high-risk factor inducing TB transmission in Kashgar city. Males exhibit a significantly higher RR of developing TB at low temperature than female, as well as the elderly group in contrast to the young or middle-aged groups. High temperature has a protective effect on TB transmission in the total population, but female and middle-aged and elderly groups are also required to be alert to the delayed RR induced by it. Springer Berlin Heidelberg 2022-09-12 2023 /pmc/articles/PMC9466343/ /pubmed/36094714 http://dx.doi.org/10.1007/s11356-022-22849-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Zheng, Yanling Emam, Mawlanjan Lu, Dongmei Tian, Maozai Wang, Kai Peng, Xiaowang Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China |
title | Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China |
title_full | Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China |
title_fullStr | Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China |
title_full_unstemmed | Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China |
title_short | Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China |
title_sort | analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in kashgar city, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466343/ https://www.ncbi.nlm.nih.gov/pubmed/36094714 http://dx.doi.org/10.1007/s11356-022-22849-5 |
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