The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, China
In this paper, based on the statistical data, we investigate the effects of long-term exposure to ambient particulate air pollution on the transmission dynamics of tuberculosis (TB) in Jiangsu, China by studying the threshold dynamics of the TB epidemic model via the statistical data analytically an...
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-06-01
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| Series: | Infectious Disease Modelling |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042723000234 |
| _version_ | 1797801702096633856 |
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| author | Xiaomeng Wang Yongli Cai |
| author_facet | Xiaomeng Wang Yongli Cai |
| author_sort | Xiaomeng Wang |
| collection | DOAJ |
| description | In this paper, based on the statistical data, we investigate the effects of long-term exposure to ambient particulate air pollution on the transmission dynamics of tuberculosis (TB) in Jiangsu, China by studying the threshold dynamics of the TB epidemic model via the statistical data analytically and numerically. The basic reproduction number R0>1 reveals that TB in Jiangsu, China is an endemic disease and will persist for a long time. And the numerical results show that, in order to control the TB in Jiangsu effectively, we must decrease the depuration coefficient of PM10 in the body, the proportion of TB symptomatic infectious by direct transmission, the reactivation rate of the pre-symptomatic infectious and the effect coefficient of PM10 and MTB inhaled of TB transmission, and increase the uptake coefficient, the recovery rate of the symptomatic/pre-symptomatic infectious and the influence coefficient of PM10 on the body of mortality. Our study shows that PM10 is closely related to the incidence of TB, and the effective control efforts are suggested to focus on increasing close-contact distance and wearing protective mask to decrease the influence of PM10 on the TB transmission, which may shed a new light on understanding the environmental drivers to TB. |
| first_indexed | 2024-03-13T04:54:30Z |
| format | Article |
| id | doaj.art-4f6d1cc68dad4a3298bd64eb4378d28f |
| institution | Directory Open Access Journal |
| issn | 2468-0427 |
| language | English |
| last_indexed | 2024-03-13T04:54:30Z |
| publishDate | 2023-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Infectious Disease Modelling |
| spelling | doaj.art-4f6d1cc68dad4a3298bd64eb4378d28f2023-06-18T05:03:01ZengKeAi Communications Co., Ltd.Infectious Disease Modelling2468-04272023-06-0182390402The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, ChinaXiaomeng Wang0Yongli Cai1School of Mathematics and Statistics, Huaiyin Normal University, Huaian, 223300, PR ChinaCorresponding author.; School of Mathematics and Statistics, Huaiyin Normal University, Huaian, 223300, PR ChinaIn this paper, based on the statistical data, we investigate the effects of long-term exposure to ambient particulate air pollution on the transmission dynamics of tuberculosis (TB) in Jiangsu, China by studying the threshold dynamics of the TB epidemic model via the statistical data analytically and numerically. The basic reproduction number R0>1 reveals that TB in Jiangsu, China is an endemic disease and will persist for a long time. And the numerical results show that, in order to control the TB in Jiangsu effectively, we must decrease the depuration coefficient of PM10 in the body, the proportion of TB symptomatic infectious by direct transmission, the reactivation rate of the pre-symptomatic infectious and the effect coefficient of PM10 and MTB inhaled of TB transmission, and increase the uptake coefficient, the recovery rate of the symptomatic/pre-symptomatic infectious and the influence coefficient of PM10 on the body of mortality. Our study shows that PM10 is closely related to the incidence of TB, and the effective control efforts are suggested to focus on increasing close-contact distance and wearing protective mask to decrease the influence of PM10 on the TB transmission, which may shed a new light on understanding the environmental drivers to TB.http://www.sciencedirect.com/science/article/pii/S2468042723000234Epidemic modelBasic reproduction numberSensitivity analysisMarkov chain Monte Carlo methodControl strategies |
| spellingShingle | Xiaomeng Wang Yongli Cai The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, China Infectious Disease Modelling Epidemic model Basic reproduction number Sensitivity analysis Markov chain Monte Carlo method Control strategies |
| title | The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, China |
| title_full | The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, China |
| title_fullStr | The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, China |
| title_full_unstemmed | The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, China |
| title_short | The influence of ambient air pollution on the transmission of tuberculosis in Jiangsu, China |
| title_sort | influence of ambient air pollution on the transmission of tuberculosis in jiangsu china |
| topic | Epidemic model Basic reproduction number Sensitivity analysis Markov chain Monte Carlo method Control strategies |
| url | http://www.sciencedirect.com/science/article/pii/S2468042723000234 |
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