Evidence map›Paper›PMID 29704895›Full record

ArticleInfectious diseases of poverty2018

Mobile population dynamics and malaria vulnerability: a modelling study in the China-Myanmar border region of Yunnan Province, China.

Tian-Mu Chen, Shao-Sen Zhang, Jun Feng, Zhi-Gui Xia, Chun-Hai Luo, Xu-Can Zeng, Xiang-Rui Guo, Zu-Rui Lin, Hong-Ning Zhou, Shui-Sen Zhou

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genome-Wide Scans for GhanaianFrontiers in cellular and infection microbiology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genomic Epidemiology of Antimalarial Drug Resistance inFrontiers in cellular and infection microbiology · 2020
    Article
  19. Article
  20. 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

10 authors.

Tian-Mu ChenDepartment of Malaria, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
Shao-Sen ZhangDepartment of Malaria, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
Jun FengDepartment of Malaria, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
Zhi-Gui XiaDepartment of Malaria, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China.
Chun-Hai LuoYunnan Institute of Parasitic Diseases, Puer, People's Republic of China.
Xu-Can ZengYunnan Institute of Parasitic Diseases, Puer, People's Republic of China.
Xiang-Rui GuoYingjiang County Center for Disease Control and Prevention, Dehong, People's Republic of China.
Zu-Rui LinYunnan Institute of Parasitic Diseases, Puer, People's Republic of China.
Hong-Ning ZhouYunnan Institute of Parasitic Diseases, Puer, People's Republic of China.
Shui-Sen ZhouDepartment of Malaria, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, 207 Rui Jin Er Road, Shanghai, 200025, People's Republic of China. zss2322170@126.com.

Funding

Shanghai Municipal Commission of Health and Family Planning 20164Y0047
6 · The paper itself

Abstract

backgroundThe China-Myanmar border region presents a great challenge in malaria elimination in China, and it is essential to understand the relationship between malaria vulnerability and population mobility in this region.

methodsA community-based, cross-sectional survey was performed in five villages of Yingjiang county during September 2016. Finger-prick blood samples were obtained to identify asymptomatic infections, and imported cases were identified in each village (between January 2013 and September 2016). A stochastic simulation model (SSM) was used to test the relationship between population mobility and malaria vulnerability, according to the mechanisms of malaria importation.

resultsThirty-two imported cases were identified in the five villages, with a 4-year average of 1 case/year (range: 0-5 cases/year). No parasites were detected in the 353 blood samples from 2016. The median density of malaria vulnerability was 0.012 (range: 0.000-0.033). The average proportion of mobile members of the study population was 32.56% (range: 28.38-71.95%). Most mobile individuals lived indoors at night with mosquito protection. The SSM model fit the investigated data (χ

conclusionsA high proportion of population mobility was associated with greater malaria vulnerability in the China-Myanmar border region. Mobile population-specific measures should be used to decrease the risk of malaria re-establishment in China.

Indexed as

Population DynamicsAdolescentAdultAgedChildChild, PreschoolChinaCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMalariaMaleMiddle AgedModels, TheoreticalImportationIndividual-based modelMalariaMobile populationVulnerability

Identifiers

PMID29704895
PMCPMC5924679

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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.