Evidence map›Paper›PMID 38267494›Full record

ArticleScientific reports2024

An investigation of the effects of meteorological factors on the incidence of tuberculosis.

Minli Chang, Mawlanjan Emam, Xiaodie Chen, Dongmei Lu, Liping Zhang, Yanling Zheng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Minli Chang *College of Public Health, Xinjiang Medical University, Ürümqi, 830017, People's Republic of China.
Mawlanjan Emam *Center for Disease Control and Prevention, Kashgar, People's Republic of China.
Xiaodie ChenCollege of Public Health, Xinjiang Medical University, Ürümqi, 830017, People's Republic of China.
Dongmei LuCenter of Pulmonary and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, People's Republic of China.
Liping ZhangCollege of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, 830017, People's Republic of China.
Yanling ZhengCollege of Medical Engineering and Technology, Xinjiang Medical University, Ürümqi, 830017, People's Republic of China. zhengyl_math@sina.cn.
Xinjiang Medical University · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CN

Funding

National Natural Science Foundation of China 72163033National Natural Science Foundation of China 72174175Tianshan Excellent Youth Project of Xinjiang Uygur Autonomous Region, China 2020Q020
6 · The paper itself

Abstract

To explore the influence of meteorological factors on the incidence of tuberculosis (TB) in Yingjisha County, Kashgar Region, Xinjiang, and to provide a scientific basis for the prevention and control of TB. The Spearman correlation analysis and distribution lag nonlinear model analysis were conducted on the number of daily reported cases of TB from 2016 to 2023 to study the association effect of various meteorological factors and the daily incidence number of TB in Yingjisha County. A total of 13,288 TB cases were reported from January 2016 to June 2023, and June to October is the peak period of annual TB incidence. Spearman correlation analysis revealed that average daily temperature (AT) and average daily wind speed (WS) were positively correlated with TB incidence (r

Indexed as

Latent TuberculosisTuberculosisFemaleHumansIncidenceMeteorological ConceptsWeather

Identifiers

PMID38267494
PMCPMC10808229
OpenAlexW4391175669

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.