Evidence map›Paper›PMID 27479297›Full record

ArticlePLoS neglected tropical diseases2016

Spatiotemporal Dynamics of Scrub Typhus Transmission in Mainland China, 2006-2014.

Yi-Cheng Wu, Quan Qian, Ricardo J Soares Magalhaes, Zhi-Hai Han, Wen-Biao Hu, Ubydul Haque, Thomas A Weppelmann, Yong Wang, Yun-Xi Liu, Xin-Lou Li and 5 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

15 authors.

Yi-Cheng WuInstitute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, People's Republic of China.
Quan QianInstitute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, People's Republic of China.
Ricardo J Soares MagalhaesSpatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Brisbane, Australia.
Zhi-Hai HanNavy General Hospital of PLA, Beijing, People's Republic of China.
Wen-Biao HuSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.
Ubydul HaqueEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Thomas A WeppelmannEmerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America.
Yong WangInstitute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, People's Republic of China.
Yun-Xi LiuChinese People's Liberation Army General Hospital, Beijing, People's Republic of China.
Xin-Lou Li517 Military Hospital, Kelan, Shanxi, People's Republic of China.
Hai-Long SunInstitute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, People's Republic of China.
Yan-Song SunAcademy of Military Medical Science, Beijing, People's Republic of China.
Archie C A ClementsResearch School of Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia.
Shen-Long LiInstitute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, People's Republic of China.
Wen-Yi ZhangInstitute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScrub typhus is endemic in the Asia-Pacific region including China, and the number of reported cases has increased dramatically in the past decade. However, the spatial-temporal dynamics and the potential risk factors in transmission of scrub typhus in mainland China have yet to be characterized.

objectiveThis study aims to explore the spatiotemporal dynamics of reported scrub typhus cases in mainland China between January 2006 and December 2014, to detect the location of high risk spatiotemporal clusters of scrub typhus cases, and identify the potential risk factors affecting the re-emergence of the disease.

methodMonthly cases of scrub typhus reported at the county level between 2006 and 2014 were obtained from the Chinese Center for Diseases Control and Prevention. Time-series analyses, spatiotemporal cluster analyses, and spatial scan statistics were used to explore the characteristics of the scrub typhus incidence. To explore the association between scrub typhus incidence and environmental variables panel Poisson regression analysis was conducted.

resultsDuring the time period between 2006 and 2014 a total of 54,558 scrub typhus cases were reported in mainland China, which grew exponentially. The majority of cases were reported each year between July and November, with peak incidence during October every year. The spatiotemporal dynamics of scrub typhus varied over the study period with high-risk clusters identified in southwest, southern, and middle-eastern part of China. Scrub typhus incidence was positively correlated with the percentage of shrub and meteorological variables including temperature and precipitation.

conclusionsThe results of this study demonstrate areas in China that could be targeted with public health interventions to mitigate the growing threat of scrub typhus in the country.

Indexed as

SeasonsTemperatureChinaHumansIncidenceOrientia tsutsugamushiRegression AnalysisRisk FactorsScrub TyphusSpatio-Temporal Analysis

Identifiers

PMID27479297
PMCPMC4968795

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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.