Influential factors and spatial–temporal distribution of tuberculosis in mainland China

Abstract Tuberculosis (TB) is an infectious disease that threatens human safety. Mainland China is an area with a high incidence of tuberculosis, and the task of tuberculosis prevention and treatment is arduous. This paper aims to study the impact of seven influencing factors and spatial–temporal di...

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Autores principales: Siyu Bie, Xijian Hu, Huiguo Zhang, Kai Wang, Zhihui Dou
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:fbdbdb44393f43bba8392dfad681fec92021-12-02T16:30:58ZInfluential factors and spatial–temporal distribution of tuberculosis in mainland China10.1038/s41598-021-85781-72045-2322https://doaj.org/article/fbdbdb44393f43bba8392dfad681fec92021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85781-7https://doaj.org/toc/2045-2322Abstract Tuberculosis (TB) is an infectious disease that threatens human safety. Mainland China is an area with a high incidence of tuberculosis, and the task of tuberculosis prevention and treatment is arduous. This paper aims to study the impact of seven influencing factors and spatial–temporal distribution of the relative risk (RR) of tuberculosis in mainland China using the spatial–temporal distribution model and INLA algorithm. The relative risks and confidence intervals (CI) corresponding to average relative humidity, monthly average precipitation, monthly average sunshine duration and monthly per capita GDP were 1.018 (95% CI 1.001–1.034), 1.014 (95% CI 1.006–1.023), 1.026 (95% CI 1.014–1.039) and 1.025 (95% CI 1.011–1.040). The relative risk for average temperature and pressure were 0.956 (95% CI 0.942–0.969) and 0.767 (95% CI 0.664–0.875). Spatially, the two provinces with the highest relative risks are Xinjiang and Guizhou, and the remaining provinces with higher relative risks were mostly concentrated in the Northwest and South China regions. Temporally, the relative risk decreased year by year from 2013 to 2015. It was higher from February to May each year and was most significant in March. It decreased from June to December. Average relative humidity, monthly average precipitation, monthly average sunshine duration and monthly per capita GDP had positive effects on the relative risk of tuberculosis. The average temperature and pressure had negative effects. The average wind speed had no significant effect. Mainland China should adapt measures to local conditions and develop tuberculosis prevention and control strategies based on the characteristics of different regions and time.Siyu BieXijian HuHuiguo ZhangKai WangZhihui DouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Siyu Bie
Xijian Hu
Huiguo Zhang
Kai Wang
Zhihui Dou
Influential factors and spatial–temporal distribution of tuberculosis in mainland China
description Abstract Tuberculosis (TB) is an infectious disease that threatens human safety. Mainland China is an area with a high incidence of tuberculosis, and the task of tuberculosis prevention and treatment is arduous. This paper aims to study the impact of seven influencing factors and spatial–temporal distribution of the relative risk (RR) of tuberculosis in mainland China using the spatial–temporal distribution model and INLA algorithm. The relative risks and confidence intervals (CI) corresponding to average relative humidity, monthly average precipitation, monthly average sunshine duration and monthly per capita GDP were 1.018 (95% CI 1.001–1.034), 1.014 (95% CI 1.006–1.023), 1.026 (95% CI 1.014–1.039) and 1.025 (95% CI 1.011–1.040). The relative risk for average temperature and pressure were 0.956 (95% CI 0.942–0.969) and 0.767 (95% CI 0.664–0.875). Spatially, the two provinces with the highest relative risks are Xinjiang and Guizhou, and the remaining provinces with higher relative risks were mostly concentrated in the Northwest and South China regions. Temporally, the relative risk decreased year by year from 2013 to 2015. It was higher from February to May each year and was most significant in March. It decreased from June to December. Average relative humidity, monthly average precipitation, monthly average sunshine duration and monthly per capita GDP had positive effects on the relative risk of tuberculosis. The average temperature and pressure had negative effects. The average wind speed had no significant effect. Mainland China should adapt measures to local conditions and develop tuberculosis prevention and control strategies based on the characteristics of different regions and time.
format article
author Siyu Bie
Xijian Hu
Huiguo Zhang
Kai Wang
Zhihui Dou
author_facet Siyu Bie
Xijian Hu
Huiguo Zhang
Kai Wang
Zhihui Dou
author_sort Siyu Bie
title Influential factors and spatial–temporal distribution of tuberculosis in mainland China
title_short Influential factors and spatial–temporal distribution of tuberculosis in mainland China
title_full Influential factors and spatial–temporal distribution of tuberculosis in mainland China
title_fullStr Influential factors and spatial–temporal distribution of tuberculosis in mainland China
title_full_unstemmed Influential factors and spatial–temporal distribution of tuberculosis in mainland China
title_sort influential factors and spatial–temporal distribution of tuberculosis in mainland china
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/fbdbdb44393f43bba8392dfad681fec9
work_keys_str_mv AT siyubie influentialfactorsandspatialtemporaldistributionoftuberculosisinmainlandchina
AT xijianhu influentialfactorsandspatialtemporaldistributionoftuberculosisinmainlandchina
AT huiguozhang influentialfactorsandspatialtemporaldistributionoftuberculosisinmainlandchina
AT kaiwang influentialfactorsandspatialtemporaldistributionoftuberculosisinmainlandchina
AT zhihuidou influentialfactorsandspatialtemporaldistributionoftuberculosisinmainlandchina
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