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. 2024 May 11;24(1):1289.
doi: 10.1186/s12889-024-18772-8.

The association between humidex and tuberculosis: a two-stage modelling nationwide study in China

Affiliations

The association between humidex and tuberculosis: a two-stage modelling nationwide study in China

Wen Li et al. BMC Public Health. .

Abstract

Background: Under a changing climate, the joint effects of temperature and relative humidity on tuberculosis (TB) are poorly understood. To address this research gap, we conducted a time-series study to explore the joint effects of temperature and relative humidity on TB incidence in China, considering potential modifiers.

Methods: Weekly data on TB cases and meteorological factors in 22 cities across mainland China between 2011 and 2020 were collected. The proxy indicator for the combined exposure levels of temperature and relative humidity, Humidex, was calculated. First, a quasi-Poisson regression with the distributed lag non-linear model (DLNM) was constructed to examine the city-specific associations between humidex and TB incidence. Second, a multivariate meta-regression model was used to pool the city-specific effect estimates, and to explore the potential effect modifiers.

Results: A total of 849,676 TB cases occurred in the 22 cities between 2011 and 2020. Overall, a conspicuous J-shaped relationship between humidex and TB incidence was discerned. Specifically, a decrease in humidex was positively correlated with an increased risk of TB incidence, with a maximum relative risk (RR) of 1.40 (95% CI: 1.11-1.76). The elevated RR of TB incidence associated with low humidex (5th humidex) appeared on week 3 and could persist until week 13, with a peak at approximately week 5 (RR: 1.03, 95% CI: 1.01-1.05). The effects of low humidex on TB incidence vary by Natural Growth Rate (NGR) levels.

Conclusion: A J-shaped exposure-response association existed between humidex and TB incidence in China. Humidex may act as a better predictor to forecast TB incidence compared to temperature and relative humidity alone, especially in regions with higher NGRs.

Keywords: Exposure-response relationship; Humidex; Time-series study; Tuberculosis.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Geographic distribution and regions of 22 cities in China
Fig. 2
Fig. 2
Pooled cumulative relative risks (RR) with 95% Confidence Intervals (CI) of tuberculosis incidence associated with Humidex, over lag 0–24 weeks during 2011–2020 in China. (A) Overall cumulative RR at the national level. (B) Lagged effects with 95th Humidex. (C) Lagged effects with 5th Humidex. (D) Cumulative RR in different Natural Growth Rates
Fig. 3
Fig. 3
Pooled cumulative relative risks (RR) with 95% Confidence Intervals (CI) of tuberculosis incidence associated with Humidex for different (A) gender, (B) age groups and (C) region, over lag 0–24 weeks during 2011–2020 in China

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