Evidence map›Paper›PMID 29968800›Full record

ArticleScientific reports2018

The influence of meteorological factors on tuberculosis incidence in Southwest China from 2006 to 2015.

Yuanyuan Xiao, Limei He, Ying Chen, Qinying Wang, Qiong Meng, Wei Chang, Lifen Xiong, Zhen Yu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 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

8 authors at 2 institutions in 1 country.

Yuanyuan XiaoDepartment of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Limei HeDepartment of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Ying ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, Yunnan, China. chenying2128@126.com.
Qinying WangDivision of Chronic Infectious Disease Prevention and Control, Jinghong Municipal Center for Disease Control and Prevention, Jinghong, Xishuangbanna Dai Autonomous Prefecture, Yunnan, China.
Qiong MengDepartment of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Wei ChangDepartment of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Lifen XiongDivision of Chronic Infectious Disease Prevention and Control, Xishuangbanna Prefectural Center for Disease Control and Prevention, Jinghong, Xishuangbanna Dai Autonomous Prefecture, Yunnan, China.
Zhen YuDepartment of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, Yunnan, China.
Kunming Medical University · CNYunnan Center for Disease Control And Prevention · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81703324
6 · The paper itself

Abstract

The influence of meteorological determinants on tuberculosis (TB) incidence remains severely under-discussed, especially through the perspective of time series analysis. In the current study, we used a distributed lag nonlinear model (DLNM) to analyze a 10-year series of consecutive surveillance data. We found that, after effectively controlling for autocorrelation, the changes in meteorological factors related to temperature, humidity, wind and sunshine were significantly associated with subsequent fluctuations in TB incidence: average temperature was inversely associated with TB incidence at a lag period of 2 months; total precipitation and minimum relative humidity were also inversely associated with TB incidence at lag periods of 3 and 4 months, respectively; average wind velocity and total sunshine hours exhibited an instant rather than lagged influence on TB incidence. Our study results suggest that preceding meteorological factors may have a noticeable effect on future TB incidence; informed prevention and preparedness measures for TB can therefore be constructed on the basis of meteorological variations.

Indexed as

Meteorological ConceptsChinaCohort StudiesHumansHumidityIncidenceMeteorologyNonlinear DynamicsTemperatureTuberculosisWind

Identifiers

PMID29968800
PMCPMC6030127
OpenAlexW2810702112

What OpenQuestion holds

Textmetadata
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.