Evidence map›Paper›PMID 40880929›Full record

Observational studyFrontiers in public health2025

The influence and lag-effect of temperature and precipitation on the incidence and mortality of tuberculosis, 2000-2021: an observational study.

Qiao Liu, Yaping Wang, Min Liu, Yanlin Zhao, Jue Liu

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qiao LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yaping WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Min LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yanlin ZhaoNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis (TB) remains a major global health concern, particularly in low-and middle-income countries. Climate change may influence TB burden through effects on human health, living conditions, and pathogen transmission, yet its long-term impact remains underexplored. Methods: This observational study integrated data on temperature and precipitation obtained from NCEI/NOAA, TB burden from the Global Burden of Disease Study 2021, and socio-economic covariates from the World Bank open data platform. We used quasi-Poisson regression to assess non-lagged associations and applied distributed lag non-linear models to estimate lagged effects of climate exposure on age-standardized incidence and mortality rates (ASIR and ASMR) of TB from 2000 to 2021. Results: From 2000 to 2021, global TB age-standardized incidence rate and age-standardized mortality rate declined annually by 2.15 and 4.18%, respectively, with higher burdens in Africa and Southeast Asia. TB rates were elevated in males and those over 50, while younger age groups (<5, 5-14) in countries like the Philippines and Zimbabwe saw increases. A 1°C rise in temperature reduced age-standardized incidence rate by 0.89% and ASMR by 1.61%, while 1 mm increased precipitation raised age-standardized mortality rate by 1.80%, impacting males more. Higher temperatures increased TB rates in South-East Asia and Western Pacific, while precipitation raised rates in Africa, Eastern Mediterranean, and the Americas. Low and high temperatures showed negative lag effects after 12-15 years, while high temperatures posed a short-term risk for those aged 50+. 0 mm precipitation was protective after 10-15 years, while intermediate and humid precipitation levels had mixed effects, including some negative impacts on mortality. Conclusion: There is urgent need for tailored interventions that strengthen healthcare infrastructure, enhance disaster preparedness, and address both social determinants and climatic influences. By incorporating climate factors into the understanding of TB trends, our study offers critical insights to guide public health strategies in the era of climate change, contributing to more effective approaches for achieving the SDG targets for TB elimination.

Indexed as

Climate ChangeRainTemperatureTuberculosisAdolescentAdultChildChild, PreschoolFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceMaleMiddle AgedYoung AdultDLNMlag effectprecipitationtemperaturetuberculosis

Identifiers

PMID40880929
PMCPMC12380760

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.