Evidence map›Paper›PMID 40442614›Full record

ArticleBMC public health2025

Associations of greenhouse gases, air pollutants and dynamics of scrub typhus incidence in China: a nationwide time-series study.

Haoyue Cao, Jianqiang Han, Weiming Hou, Juxiang Yuan

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

4 authors.

Haoyue CaoSchool of Public Health, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan, Hebei Province, 063210, China.
Jianqiang HanDepartment of Medical Engineering, Air Force Medical Center, PLA, Air Force Medical University, Beijing, 100142, China.
Weiming Hou *Department of Medical Engineering, Air Force Medical Center, PLA, Air Force Medical University, Beijing, 100142, China. hwm100908@163.com.
Juxiang Yuan *School of Public Health, North China University of Science and Technology, No.21 Bohai Avenue, Tangshan, Hebei Province, 063210, China. yuanjx@ncst.edu.cn.

Funding

National Key Projects of Research and Development of China 2016YFC0900605
6 · The paper itself

Abstract

backgroundEnvironmental factors have been identified as significant risk factors for scrub typhus. However, the impact of inorganic compounds such as greenhouse gases and air pollutants on the incidence of scrub typhus has not been evaluated.

methodsOur study investigated the correlation between greenhouse gases, air pollutants from the global atmospheric emissions database (2005-2018), and reported cases of scrub typhus from the Public Health Science Data Center. First, an early warning method was applied to estimate the epidemic threshold and the grading intensity threshold. Second, four statistical methods were used to assess the correlation and lag effects across different age groups and epidemic periods. Deep learning algorithms were employed to evaluate the predictive effect of environmental factors on the incidence of scrub typhus.

resultsUsing the Moving Epidemic Method (MEM) and Treed Distributed Lag Non-Linear Model (TDLNM), we found that the period from April to September is the epidemic season for scrub typhus in China. During this period, BC, CH

conclusionsWe found that most greenhouse gases and air pollutants increase the risk of contracting scrub typhus, mainly driven by CH

Indexed as

Air PollutantsGreenhouse GasesScrub TyphusAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansIncidenceInfantMaleMiddle AgedRisk FactorsAir PollutantsGreenhouse GasesBayesian kernel machine regressionConvolutional Neural NetworkEDGARNon-methane volatile organic compoundScrub typhus

Identifiers

PMID40442614
PMCPMC12121197

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LicenceCC BY-NC-ND
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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.