ArticleFrontiers in public health2022
Effects and Interaction of Meteorological Factors on Pulmonary Tuberculosis in Urumqi, China, 2013-2019.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 38 citations in OpenAlex.
- Associations between El Niño-Southern Oscillation (ENSO) and tuberculosis incidence in China: a nationwide study.One health (Amsterdam, Netherlands) · 2026Article
- Data-driven model analysis of the impact of environmental and socioeconomic factors on tuberculosis incidence.Infectious Disease Modelling · 2026Article
- The pitfalls of incidence-based time series regression for inferring the effects of weather on infectious diseases.PLoS computational biology · 2026Article
- Spatiotemporal Inequalities in the Burden of Tuberculosis Attributable to Long-Term Particulate Matter Exposure in Mainland of China.GeoHealth · 2026Article
- Unraveling complex interactions of meteorological factors and sulfur dioxide on other infectious diarrhea: evidence from a subtropical city.Frontiers in public health · 2026Article
- Effects of meteorological factors and atmospheric pollutants on the prevalence of respiratory adenovirus in children in Lanzhou, Northwest China.Scientific reports · 2025Article
- Scarlet fever and meteorological exposures in Jiangsu, China: a time-stratified case-crossover study.BMC public health · 2025Article
- Influence of meteorological factors on scrub typhus in Southeast China: a study across 100 districts in Jiangxi Province.Tropical medicine and health · 2025Article
- Machine learning identifies environmental drivers of pulmonary tuberculosis in Xinjiang a typical arid region of China.Scientific reports · 2025Article
- Epidemic trend and spatial-temporal analysis of pulmonary tuberculosis in Hotan prefecture, xinjiang, china, 2015-2021.Scientific reports · 2025Article
- Assessing the 1918/19 Pandemic Influenza and Respiratory Tuberculosis Interaction in Malta: Operationalizing a Syndemic During a Crisis Event.Tropical medicine and infectious disease · 2025Article
- Predicting Tuberculosis Risk in Cattle, Buffaloes, Sheep, and Goats in China Based on Air Pollutants and Meteorological Factors.Animals : an open access journal from MDPI · 2024Article
- A study of the correlation between meteorological factors and hospitalization for acute lower respiratory infections in children.BMC public health · 2024Article
- Effects of meteorological factors on tuberculosis and potential modifiers in Zhejiang Province, China.Scientific reports · 2024Article
- Association Between Climatic Factors and Varicella Incidence in Wuxi, East China, 2010-2019: Surveillance Study.JMIR public health and surveillance · 2024Article
- Epidemiological characteristics of tuberculosis incidence and its macro-influence factors in Chinese mainland during 2014-2021.Infectious diseases of poverty · 2024Article
- An investigation of the effects of meteorological factors on the incidence of tuberculosis.Scientific reports · 2024Article
- Effects of the interaction between cold spells and fine particulate matter on mortality risk in Xining: a case-crossover study at high altitude.Frontiers in public health · 2024Article
- Ecological-level factors associated with tuberculosis incidence and mortality: A systematic review and meta-analysis.PLOS global public health · 2024Article
- Epidemiological Characteristics and Spatial-Temporal Analysis of Tuberculosis at the County-Level in Shandong Province, China, 2016-2020.Tropical medicine and infectious disease · 2022Article
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Authors and funding
9 authors at 3 institutions in 1 country.
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Abstract
Background: Most existing studies have only investigated the delayed effect of meteorological factors on pulmonary tuberculosis (PTB). However, the effect of extreme climate and the interaction between meteorological factors on PTB has been rarely investigated. Methods: Newly diagonsed PTB cases and meteorological factors in Urumqi in each week between 2013 and 2019 were collected. The lag-exposure-response relationship between meteorological factors and PTB was analyzed using the distributed lag non-linear model (DLNM). The generalized additive model (GAM) was used to visualize the interaction between meteorological factors. Stratified analysis was used to explore the impact of meteorological factors on PTB in different stratification and RERI, AP and SI were used to quantitatively evaluate the interaction between meteorological factors. Results: A total of 16,793 newly diagnosed PTB cases were documented in Urumqi, China from 2013 to 2019. The median (interquartile range) temperature, relative humidity, wind speed, and PTB cases were measured as 11.3°C (-5.0-20.5), 57.7% (50.7-64.2), 4.1m/s (3.4-4.7), and 47 (37-56), respectively. The effects of temperature, relative humidity and wind speed on PTB were non-linear, which were found with the "N"-shaped, "L"-shaped, "N"-shaped distribution, respectively. With the median meteorological factor as a reference, extreme low temperature was found to have a protective effect on PTB. However, extreme high temperature, extreme high relative humidity, and extreme high wind speed were found to increase the risk of PTB and peaked at 31.8°C, 83.2%, and 7.6 m/s respectively. According to the existing monitoring data, no obvious interaction between meteorological factors was found, but low temperature and low humidity (RR = 1.149, 95%CI: 1.003-1.315), low temperature and low wind speed (RR = 1.273, 95%CI: 1.146-1.415) were more likely to cause the high incidence of PTB. Conclusion: Temperature, relative humidity and wind speed were found to play vital roles in PTB incidence with delayed and non-linear effects. Extreme high temperature, extreme high relative humidity, and extreme high wind speed could increase the risk of PTB. Moreover, low temperature and low humidity, low temperature and low wind speed may increase the incidence of PTB.
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