Ambient sulfur dioxide levels associated with reduced risk of initial outpatient visits for tuberculosis: A population based time series analysis

Ge, Erjia; Fan, Min; Qiu, Hong; Hu, Howard; Tian, Linwei; Wang, Xiaomeng; Xu, Guozhang; Wei, Xiaolin

doi:10.1016/j.envpol.2017.05.051

Cited by 53 publications

(49 citation statements)

References 29 publications

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“…So, Generalised additive model (GAM) with Gaussian distribution was utilised to connect the infected rate due to COVID-19 and air pollutants or meteorological parameters (Chuang et al, 2011;Gao et al, 2019;Ravindra et al, 2019;Sun et al, 2015;Tong et al, 2018;Yoon, 2019;Zhang and Batterman, 2010). The model also used to estimate the correlations between moving average concentrations of air pollutants and meteorological factors at Lag0-7, Lag0-14 and Lag0-21 with daily reported COVID-19 infected cases in India (Charles et al, 2020;Ge et al, 2017;Hao et al, 2019;Liang et al, 2020a;Lin et al, 2013;Jiandong Yang et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Sahoo

2020

Preprint

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SARS-CoV-2 (Coronavirus) disease represents the causative agent with a potentially fatal risk which is having great global human health concern. Earlier studies suggested that air pollutants and meteorological factors were considered as the risk factors for acute respiratory infection, which carries harmful pathogens and affects the immunity. The study intended to explore the correlation between air pollutants, meteorological factors and the daily reported infection cases caused by novel coronavirus in India. The daily positive infected cases, air pollution and meteorological factors in 288 districts were collected from January 30, 2020 to April 23, 2020 in India. Speraman’s correlation and generalised additive model were applied to investigate the correlations of four air pollutants (PM2.5, PM10, NO2 and SO2) and eight meteorological factors (Temp, DTR, RH, AH, AP, RF, WS and WD) with COVID-19 infected cases. The study indicated that a 10 µg/m3 increase during (Lag0-14) in PM2.5, PM10 and NO2 was resulted in 2.21% (95%CI: 1.13 to 3.29), 2.67% (95% CI: 0.33 to 5.01) and 4.56 (95% CI: 2.22 to 6.90) increase in daily counts of COVID 19 infected cases respectively. However, only 1 unit increase in meteorological factor levels in case of daily mean temperature and DTR during (Lag0-14) associated with 3.78% (95%CI: 1.81 to 5.75) and 1.82% (95% CI: -1.74 to 5.38) rise of COVID-19 infected cases respectively. In addition, SO2 and relative humidity were negatively associated with COVID-19 infected cases at Lag0-14 with decrease of 7.23% (95% CI: -10.99 to -3.47) and 1.11% (95% CI: -3.45 to 1.23) for SO2 and for relative humidity respectively. The study recommended that there is significant relationship between air pollutants and meteorological factors with COVID-19 infected cases, which substantially explain the effect of national lockdown and suggested positive implications for control and prevention of the spread of SARS-CoV-2 disease.

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Section: Discussionmentioning

confidence: 99%

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Sahoo

2020

Preprint

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“…study in South Korea reported that an increased concentration of SO 2 might increase the morbidity of TB in males but not in females (Hwang et al, 2014). Conversely, a study in Ningbo, China, found that exposure to SO 2 might function as a protective factor against TB (Ge et al, 2017). This counterintuitive protective effects may be attributed to the antimicrobial properties of SO 2 .…”

Section: Variablesmentioning

confidence: 95%

“…In South Korea, Hwang et al found that male TB patients were more susceptible to incremental concentrations of SO 2 than females (Hwang et al, 2014). Conversely, in a time-series analysis in Ningbo, China, Ge et al reported that ambient SO 2 exposure might be a protective factor for TB (Ge et al, 2017). However, the above studies were mostly carried out in economically developed areas.…”

Section: Introductionmentioning

confidence: 99%

Long-term effect of exposure to ambient air pollution on the risk of active tuberculosis

Mao

et al. 2019

International Journal of Infectious Diseases

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To explore the long-term effect of exposure to ambient air pollution on the risk of active tuberculosis (TB). Methods: We constructed a distributed-lag nonlinear model (DLNM) to evaluate the relatively long-term influence of outdoor PM 2.5 , PM 10 , SO 2 and NO 2 exposure on active TB risk in the city of Lianyungang in Jiangsu Province, China. Results: There were 7,282 TB cases reported in the study area during 2014-2017, with annual median (interquartile range) concentrations of PM 2.5 , PM 10 , SO 2 and NO 2 at 45.86 (34.57-64.14) mg/m 3 , 85.43 (62.86-116.14) mg/m 3 , 22.00 (15.71-30.86) mg/m 3 and 30.00 (23.29-38.57) mg/m 3 , respectively. The single-pollutant model showed that for each 10 mg/m 3 increase in concentration, the cumulative relative risk of TB was 1.12 (lag 0-24 weeks, 95% CI: 1.03-1.22) for PM 2.5 with reference to 35 mg/m 3 ; 1.11 (lag 0-21 weeks, 95% CI: 1.06-1.17) for PM 10 with reference to 70 mg/m 3 ; 1.37 (lag 0-20 weeks, 95% CI: 1.16-1.62) for SO 2 with reference to 60 mg/m 3 ; and 1.29 (lag 0-22 weeks, 95% CI: 1.11-1.49) for NO 2 with reference to 40 mg/m 3. In the multipollutant model considering both PM 10 and NO 2 , the association remained significant. Conclusions: Our results revealed a potential association between outdoor exposure to PM 2.5 , PM 10 , SO 2 , and NO 2 and active TB. Considering that people from developing countries continue to be exposed to both severe outdoor air pollution and high rates of latent TB infection, the association between worsening air pollution and active TB deserves further attention.

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“…A recent study on the effects of sulfur dioxide on tuberculosis occurrence in human populations was conducted. 138 The authors found protective effects of this gas when patients were exposed to lowlevel ambient sulfur dioxide against TB.…”

Section: Sulfur Dioxidementioning

confidence: 98%

Small molecule generators of biologically reactive sulfur species

et al. 2018

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Ambient sulfur dioxide levels associated with reduced risk of initial outpatient visits for tuberculosis: A population based time series analysis

Abstract: Short-term exposure to ambient SO was associated with reduced risk of initial TB outpatient visits, suggesting acute protective effects of low-level ambient SO exposure on bacteria-induced pulmonary infections.

Cited by 53 publications

References 29 publications

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Long-term effect of exposure to ambient air pollution on the risk of active tuberculosis

Small molecule generators of biologically reactive sulfur species

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