Evidence map›Paper›PMID 28336667›Full record

ArticleScience (New York, N.Y.)2017

Dengue diversity across spatial and temporal scales: Local structure and the effect of host population size.

Henrik Salje, Justin Lessler, Irina Maljkovic Berry, Melanie C Melendrez, Timothy Endy, Siripen Kalayanarooj, Atchareeya A-Nuegoonpipat, Sumalee Chanama, Somchai Sangkijporn, Chonticha Klungthong and 9 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing 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

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

  1. Pooled it
  2. Trial
  3. Dengue virus infection.Nature reviews. Disease primers · 2026
    Review
  4. Observational
  5. Article
  6. Article
  7. Sociodemographic and Structural Risk Factors for Dengue in a Rapidly Developing Indonesian District.International journal of environmental research and public health · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

53 more citing papers are in PubMed but not listed here.

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

19 authors.

Henrik SaljeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. henrik.salje@pasteur.fr justin@jhu.edu datc@ufl.edu.ORCID 0000-0003-3626-4254
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. henrik.salje@pasteur.fr justin@jhu.edu datc@ufl.edu.ORCID 0000-0002-9741-8109
Irina Maljkovic BerryViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA.ORCID 0000-0001-8555-5352
Melanie C MelendrezViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA.ORCID 0000-0002-4811-4467
Timothy EndyDepartment of Medicine, Upstate Medical University of New York, Syracuse, New York, NY, 13210, USA.ORCID 0000-0001-9152-0199
Siripen KalayanaroojQueen Sirikit National Institute of Child Health, Bangkok, Thailand.
Atchareeya A-NuegoonpipatNational Institute of Health, Department of Medical Sciences, Nonthaburi, Thailand.ORCID 0000-0003-1597-8944
Sumalee ChanamaNational Institute of Health, Department of Medical Sciences, Nonthaburi, Thailand.ORCID 0000-0002-3522-3795
Somchai SangkijpornNational Institute of Health, Department of Medical Sciences, Nonthaburi, Thailand.
Chonticha KlungthongDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
Butsaya ThaisomboonsukDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
Ananda NisalakDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
Robert V GibbonsDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.ORCID 0000-0002-3368-6542
Sopon IamsirithawornDepartment of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0002-6109-5002
Louis R MacareoDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
In-Kyu YoonDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.ORCID 0000-0001-5077-6470
Areerat SangarsangNational Institute of Health, Department of Medical Sciences, Nonthaburi, Thailand.
Richard G JarmanViral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, 20910, USA.ORCID 0000-0002-5765-0173
Derek A T CummingsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. henrik.salje@pasteur.fr justin@jhu.edu datc@ufl.edu.ORCID 0000-0002-9437-1907

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VAN PANHUIS, WILLEM GIJSBERT · 2009 to 2018
$16.7M
Methods for Reducing Spatial Uncertainty and Bias in Disease SurveillanceR01AI102939 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LESSLER, JUSTIN · 2013 to 2017
$4.6M
LINKING ANTIGENIC & GENETIC VARIATION OF DENGUE TO INDIVIDUAL AND POPULATION RISKR01AI114703 · NIAID · UNIVERSITY OF FLORIDA · PI CUMMINGS, DEREK A · 2015 to 2019
$3.6M
NIAID NIH HHS R01 AI102939NIAID NIH HHS R01 AI114703NIGMS NIH HHS U54 GM088491
6 · The paper itself

Abstract

A fundamental mystery for dengue and other infectious pathogens is how observed patterns of cases relate to actual chains of individual transmission events. These pathways are intimately tied to the mechanisms by which strains interact and compete across spatial scales. Phylogeographic methods have been used to characterize pathogen dispersal at global and regional scales but have yielded few insights into the local spatiotemporal structure of endemic transmission. Using geolocated genotype (800 cases) and serotype (17,291 cases) data, we show that in Bangkok, Thailand, 60% of dengue cases living <200 meters apart come from the same transmission chain, as opposed to 3% of cases separated by 1 to 5 kilometers. At distances <200 meters from a case (encompassing an average of 1300 people in Bangkok), the effective number of chains is 1.7. This number rises by a factor of 7 for each 10-fold increase in the population of the "enclosed" region. This trend is observed regardless of whether population density or area increases, though increases in density over 7000 people per square kilometer do not lead to additional chains. Within Thailand these chains quickly mix, and by the next dengue season viral lineages are no longer highly spatially structured within the country. In contrast, viral flow to neighboring countries is limited. These findings are consistent with local, density-dependent transmission and implicate densely populated communities as key sources of viral diversity, with home location the focal point of transmission. These findings have important implications for targeted vector control and active surveillance.

Indexed as

Population DensityCluster AnalysisDengueDengue VirusEpidemiological MonitoringHumansMosquito VectorsPhylogenySequence Analysis, RNASpatio-Temporal AnalysisThailand

Identifiers

PMID28336667
PMCPMC5777672

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Registered trials

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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.