Evidence map›Paper›PMID 36174105›Full record

ArticlePLoS neglected tropical diseases2022

Epidemiological characteristics and spatiotemporal patterns of scrub typhus in Fujian province during 2012-2020.

Li Qian, Yong Wang, Xianyu Wei, Ping Liu, Ricardo J Soares Magalhaes, Quan Qian, Hong Peng, Liang Wen, Yuanyong Xu, Hailong Sun and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Molecular Detection of Multiple Genotypes ofTropical medicine and infectious disease · 2023
    Article
  13. Article
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

12 authors at 5 institutions in 2 countries.

Li QianDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China.
Yong WangChinese PLA Center for Disease Control and Prevention, Beijing, China.
Xianyu WeiChinese PLA Center for Disease Control and Prevention, Beijing, China.
Ping LiuDepartment of General Practice, Chinese PLA General Hospital-Sixth Medical Center, Beijing, China.
Ricardo J Soares MagalhaesSpatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Brisbane, Australia.
Quan QianChinese PLA Center for Disease Control and Prevention, Beijing, China.
Hong PengChinese PLA Center for Disease Control and Prevention, Beijing, China.
Liang WenChinese PLA Center for Disease Control and Prevention, Beijing, China.
Yuanyong XuChinese PLA Center for Disease Control and Prevention, Beijing, China.
Hailong SunChinese PLA Center for Disease Control and Prevention, Beijing, China.
Wenwu YinChinese Center for Disease Control and Prevention, Beijing, China.
Wenyi ZhangChinese PLA Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0001-6553-0203
Anhui Medical University · CNArmy Medical University · CNChinese Center For Disease Control and Prevention · CNChinese PLA General Hospital · CNThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScrub typhus has become a serious public health concern in the Asia-Pacific region including China. There were new natural foci continuously recognized and dramatically increased reported cases in mainland China. However, the epidemiological characteristics and spatiotemporal patterns of scrub typhus in Fujian province have yet to be investigated.

objectiveThis study proposes to explore demographic characteristics and spatiotemporal dynamics of scrub typhus cases in Fujian province, and to detect high-risk regions between January 2012 and December 2020 at county/district scale and thereby help in devising public health strategies to improve scrub typhus prevention and control measures.

methodMonthly cases of scrub typhus reported at the county level in Fujian province during 2012-2020 were collected from the National Notifiable Disease Surveillance System. Time-series analyses, spatial autocorrelation analyses and space-time scan statistics were applied to identify and visualize the spatiotemporal patterns of scrub typhus cases in Fujian province. The demographic differences of scrub typhus cases from high-risk and low-risk counties in Fujian province were also compared.

resultsA total of 11,859 scrub typhus cases reported in 87 counties from Fujian province were analyzed and the incidence showed an increasing trend from 2012 (2.31 per 100,000) to 2020 (3.20 per 100,000) with a peak in 2018 (4.59 per 100,000). There existed two seasonal peaks in June-July and September-October every year in Fujian province. A significant positive spatial autocorrelation of scrub typhus incidence in Fujian province was observed with Moran's I values ranging from 0.258 to 0.471 (P<0.001). Several distinct spatiotemporal clusters mainly concentrated in north and southern parts of Fujian province. Compared to low-risk regions, a greater proportion of cases were female, farmer, and older residents in high-risk counties.

conclusionsThese results demonstrate a clear spatiotemporal heterogeneity of scrub typhus cases in Fujian province, and provide the evidence in directing future researches on risk factors and effectively assist local health authorities in the refinement of public health interventions against scrub typhus transmission in the high risk regions.

Indexed as

Orientia tsutsugamushiScrub TyphusChinaFemaleHumansIncidenceMaleSeasonsSpatial AnalysisSpatio-Temporal Analysis

Identifiers

PMID36174105
PMCPMC9553047
OpenAlexW4297983547

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.