Relationship between climatic factors and air quality with tuberculosis in the Federal District, Brazil, 2003–2012

Fernandes, Fernanda Monteiro de Castro; Martins, Éder de Souza; Pedrosa, Daniella Melo Arnaud Sampaio; Evangelista, Maria do Socorro Nantua

doi:10.1016/j.bjid.2017.03.017

Cited by 42 publications

(30 citation statements)

References 36 publications

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“…This could be attributed to reduction in vitamin D level in the winter season 5,7,13–15 , winter indoor crowding activities 8,16 and seasonal change in immune function 17,18 . Similarly, air quality is affected by atmospheric pollution, where carbon monoxide promotes bacillary reactivation and increases the risk of TB outbreaks 19 .…”

Section: Introductionmentioning

confidence: 99%

Delay effect and burden of weather-related tuberculosis cases in Rajshahi province, Bangladesh, 2007–2012

Kuddus

McBryde

Adegboye

2019

Sci Rep

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Tuberculosis (TB) is a potentially fatal infectious disease that continues to be a public health problem in Bangladesh. Each year in Bangladesh an estimated 70,000 people die of TB and 300,000 new cases are projected. It is important to understand the association between TB incidence and weather factors in Bangladesh in order to develop proper intervention programs. In this study, we examine the delayed effect of weather variables on TB occurrence and estimate the burden of the disease that can be attributed to weather factors. We used generalized linear Poisson regression models to investigate the association between weather factors and TB cases reported to the Bangladesh National TB control program between 2007 and 2012 in three known endemic districts of North-East Bangladesh. The associated risk of TB in the three districts increases with prolonged exposure to temperature and rainfall, and persisted at lag periods beyond 6 quarters. The association between humidity and TB is strong and immediate at low humidity, but the risk decreases with increasing lag. Using the optimum weather values corresponding to the lowest risk of infection, the risk of TB is highest at low temperature, low humidity and low rainfall. Measures of the risk attributable to weather variables revealed that weather-TB cases attributed to humidity is higher than that of temperature and rainfall in each of the three districts. Our results highlight the high linearity of temporal lagged effects and magnitudes of the burden attributable to temperature, humidity, and rainfall on TB endemics. The results can hopefully advise the Bangladesh National TB control program and act as a practical reference for the early warning of TB cases.

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Section: Introductionmentioning

confidence: 99%

Delay effect and burden of weather-related tuberculosis cases in Rajshahi province, Bangladesh, 2007–2012

Kuddus

McBryde

Adegboye

2019

Sci Rep

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“…Based on multivariable analysis model 2 is known that risk factors for ambient temperatures can cause unpropriate health by 6.60 times greater. This study related to (Fernandes et al, 2017) that temperatures between 20 0 C and 23 0 C (72.4%; p = <0.001) Temperatures above 25 0 C is the temperature of dry air which is closely related to patient contact, here bacteria mycobacterium tuberculosis will develop optimally at temperatures of dry, easily germs that enter the body through the nose of healthy people. While on the air subu under 20 0 C can affect humidity levels where the higher the temperature, the humidity will decrease .…”

Section: Room Temperaturementioning

confidence: 87%

Socio-Economic and Environmental Risk Factors of Tuberculosis in Wonosobo, Central Java, Indonesia

Pratiwi¹,

Pramono

Junaedi³

2020

Kemas

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This study discusses the dominant socio-economic and environmental risk factors for TB disease. The design of this study was a case-control study with 70 case samples and control with a contribution of n = 1. Variables from this study contacted personal, ventilation of the house, humidity, the temperature of the house, density of the house, kitchen, and family earnings. Multivariate data analysis uses multiple logistic regressions. The study notes that from 140 samples, 47% have basic education, and 30% are farmers. People who had a past of contact with TB cases were ten times more likely to contract TB than those who had no contacted (OR = 10.00; p <0.001). Personalities who live in poorly ventilated homes who have a risk of contracting TB are 2.2 times greater than those who live in homes with standard ventilation (OR = 2.20; p <0.018). The moisture increases the risk of TB by four times the low moisture (OR = 4.00; p = 0.001). Living in a house with a higher temperature of TB is 3.8 times higher than a lower temperature (OR = 3.80; p = 0.009). Living in a high population density of the house improves TB five times more than living in a lesser home (OR = 5.00; p <0.001). Kitchen gas enhances the risk of TB 2.5 times greater than gasless (OR = 2.50; p = 0.007). Low family earnings raise the risk of TB three times greater than high family earnings (OR = 3.00; p = 0.002). A past of contact, poorly ventilated homes, high humidity, hothouse temperature, population density, kitchen gas, and low family earnings, are risk factors for TB in Wonosobo, Central Java.

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“…The effects of carbon monoxide (CO) and particulate matter less than 2.5 µm in aerodynamic diameter (PM 2.5 ) on incidence of TB were significant. [21][22][23] In South Korea, the exposure to high concentrations of suspended particles increased at 1.27 times the incidence of TB [24]. However, many studies [4,14] of ambient temperature and health outcome did not account for air pollutants, and in the previous review [25], it was not clear from the few studies conducted whether air pollutants acted as confounders, effect modifiers, or both.…”

Section: Introductionmentioning

confidence: 99%

Effect of ambient temperature on incidence of tuberculosis and effect modification by meteorological factors in Jinan, China during 2012-2015

Ye¹,

Cui²,

Zhou³

et al. 2020

Preprint

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ObjectiveFor assessing the nonlinearity and delayed effect of temperature on incidence of Tuberculosis (TB) and effect modification by meteorology factors, daily data on meteorological factors, air pollutants and incidence were obtained in Jinan, China, from 2012 to 2015.MethodsA distributed lag non-linear model (DLNM) combined with quasi-Poisson regression model was employed to assess the nonlinearity and the delayed effect of associations. We further built a series of weather-stratified models categorizing the meteorology factors into two levels to assess the effect modification of the ambient temperature effect. ResultsThe correlation between tuberculosis (TB) cases and daily average temperature (Tmean) was nonlinear with a delayed effect. At the current day (lag 0), the increase of Tmean decreased the risk of TB incidence; over lag 0-70 days, the decrease of low Tmean and the increase of the high Tmean both indicated the increased risk of TB. The cold temperature showed an immediate effect at the current day, with a harvesting effect in the following days. There was no significant harvesting effect in hot effect. Meanwhile, the effect of hot temperature on TB appeared with an about two-week lag and was lower than cold effect. The effect modifications by relative humidity, wind speed and sunshine duration were observed.ConclusionResults indicate that there was a nonlinear correlation with a harvesting effect between temperature and TB in Jinan, and both cold effect and heat effect exist the delayed effect. Results also pointed to the importance of considering effect modification by meteorological factors in assessing temperature effects on incidence of TB. Which might shed light on the strategy of TB prevention and control.

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Relationship between climatic factors and air quality with tuberculosis in the Federal District, Brazil, 2003–2012

Abstract: The results should guide surveillance actions for Tuberculosis control and elimination and indicate the need to expand observation time to new climate indicators and air quality.

Cited by 42 publications

References 36 publications

Delay effect and burden of weather-related tuberculosis cases in Rajshahi province, Bangladesh, 2007–2012

Delay effect and burden of weather-related tuberculosis cases in Rajshahi province, Bangladesh, 2007–2012

Socio-Economic and Environmental Risk Factors of Tuberculosis in Wonosobo, Central Java, Indonesia

Effect of ambient temperature on incidence of tuberculosis and effect modification by meteorological factors in Jinan, China during 2012-2015

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