Evidence map›Paper›PMID 28077125›Full record

ArticleBMC public health2017

Spatiotemporal epidemic characteristics and risk factor analysis of malaria in Yunnan Province, China.

Dongyang Yang, Chengdong Xu, Jinfeng Wang, Yong Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  14. Effects of Extreme Temperatures on Mortality and Hospitalization in Ho Chi Minh City, Vietnam.International journal of environmental research and public health · 2019
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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 at 4 institutions in 1 country.

Dongyang YangSchool of Geographic Sciences, East China Normal University, Shanghai, 200241, China.
Chengdong XuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, 100101, China.
Jinfeng WangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, 100101, China. wangjf@lreis.ac.cn.
Yong ZhaoCollege of Environment and Planning, Henan University, Kaifeng, 475004, Henan, China.
Chinese Academy of Sciences · CNHenan University · CNInstitute of Geographic Sciences and Natural Resources Research · CNState Key Laboratory of Resources and Environmental Information System

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria remains an important public health concern in China and is particularly serious in Yunnan, a China's provincial region of high malaria burden with an incidence of 1.79/10

methodsThe data of malaria cases in 2012 in 125 counties of Yunnan Province was used in this research. The epidemical characteristics of cases were revealed, and time and space clusters of malaria were detected by applying scan statistics method. In addition, we applied the geographically weighted regression (GWR) model in identifying underlying risk factors.

resultsThere was a total of 821 cases of malaria, and male patients accounted for 83.9% (689) of the total cases. The incidence in the group aged 20-30 years was the highest, at 3.00/10

conclusionsMalaria continues to be one of serious public health issues in Yunnan Province, especially in border counties in southwestern Yunnan. Temperature, precipitation, rice cultivation and proportion of rural employees were positively associated with malaria incidence. Individuals, and disease prevention and control departments, should implement more stringent preventative strategies in locations with hot and humid environmental conditions to control malaria.

Indexed as

Spatio-Temporal AnalysisAdolescentAdultAge FactorsChildChild, PreschoolChinaCluster AnalysisEpidemicsFactor Analysis, StatisticalFemaleHumansIncidenceMalariaMaleMiddle AgedEpidemiologic characteristicMalariaRisk factorsSpace-time clusters

Identifiers

PMID28077125
PMCPMC5225622
OpenAlexW2576099164

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.