Evidence map›Paper›PMID 35533273›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Assessing the role of multiple mechanisms increasing the age of dengue cases in Thailand.

Angkana T Huang, Saki Takahashi, Henrik Salje, Lin Wang, Bernardo Garcia-Carreras, Kathryn Anderson, Timothy Endy, Stephen Thomas, Alan L Rothman, Chonticha Klungthong and 6 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–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

35 citing papers in PubMed.

  1. Dengue virus infection.Nature reviews. Disease primers · 2026
    Review
  2. Long-term antibody dynamics challenge the paradigm of lifelong homotypic immunity to dengue virus.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Dengue and severe dengue.Clinical microbiology reviews · 2025
    Review
  8. Review
  9. Introduction, establishment, and distribution ofLancet regional health. Americas · 2025
    Article
  10. Article
  11. Observational
  12. Reconciling heterogeneous dengue virus infection risk estimates from different study designs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Article
  15. Recommendations for dengue vaccine implementation in the elderly population.Therapeutic advances in vaccines and immunotherapy · 2025
    Review
  16. Article
  17. Per vaginal bleeding-an important but ignored feature of dengue.medRxiv : the preprint server for health sciences · 2024
    Article
  18. Article
  19. Climate, demography, immunology, and virology combine to drive two decades of dengue virus dynamics in Cambodia.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

16 authors.

Angkana T HuangDepartment of Biology, University of Florida, Gainesville, FL 32611.ORCID 0000-0002-9857-3506
Saki TakahashiSchool of Medicine, University of California, San Francisco, CA 94143.ORCID 0000-0001-5413-5507
Henrik SaljeDepartment of Genetics, University of Cambridge, Cambridge, United Kingdom CB23EH.ORCID 0000-0003-3626-4254
Lin WangDepartment of Genetics, University of Cambridge, Cambridge, United Kingdom CB23EH.ORCID 0000-0002-5371-2138
Bernardo Garcia-CarrerasDepartment of Biology, University of Florida, Gainesville, FL 32611.
Kathryn AndersonMicrobiology and Immunology, State University of New York Upstate Medical University, Syracuse, NY 13210.
Timothy EndyMicrobiology and Immunology, State University of New York Upstate Medical University, Syracuse, NY 13210.
Stephen ThomasMicrobiology and Immunology, State University of New York Upstate Medical University, Syracuse, NY 13210.ORCID 0000-0002-8368-7682
Alan L RothmanLaboratory of Viral Immunity and Pathogenesis, University of Rhode Island, Kingston, RI 02881.ORCID 0000-0002-4064-6848
Chonticha KlungthongDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand 10400.
Anthony R JonesDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand 10400.
Stefan FernandezDepartment of Virology, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand 10400.
Sopon IamsirithawornDepartment of Disease Control, Ministry of Public Health, Nonthaburi, Thailand 11000.
Pawinee Doung-NgernDepartment of Disease Control, Ministry of Public Health, Nonthaburi, Thailand 11000.ORCID 0000-0002-1154-4527
Isabel Rodriguez-BarraquerSchool of Medicine, University of California, San Francisco, CA 94143.ORCID 0000-0001-6784-1021
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville, FL 32611.ORCID 0000-0002-9437-1907

Funding

VIRAL DETERMINANTS OF SEVERE DENGUE DISEASEP01AI034533 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ROTHMAN, ALAN L · 1994 to 2022
$42.0M
NIAID NIH HHS P01 AI034533
6 · The paper itself

Abstract

The mean age of dengue hemorrhagic fever (DHF) cases increased considerably in Thailand from 8.1 to 24.3 y between 1981 and 2017 (mean annual increase of 0.45 y). Alternative proposed explanations for this trend, such as changes in surveillance practices, reduced mosquito–human contact, and shifts in population demographics, have different implications for global dengue epidemiology. To evaluate the contribution of each of these hypothesized mechanisms to the observed data, we developed 20 nested epidemiological models of dengue virus infection, allowing for variation over time in population demographics, infection hazards, and reporting rates. We also quantified the effect of removing or retaining each source of variation in simulations of the age trajectory. Shifts in the age structure of susceptibility explained 58% of the observed change in age. Adding heterogeneous reporting by age and reductions in per-serotype infection hazard to models with shifts in susceptibility explained an additional 42%. Reductions in infection hazards were mostly driven by changes in the number of infectious individuals at any time (another consequence of shifting age demographics) rather than changes in the transmissibility of individual infections. We conclude that the demographic transition drives the overwhelming majority of the observed change as it changes both the age structure of susceptibility and the number of infectious individuals. With the projected Thai population age structure, our results suggest a continuing increase in age of DHF cases, shifting the burden toward individuals with more comorbidity. These insights into dengue epidemiology may be relevant to many regions of the globe currently undergoing comparable changes in population demographics.

Indexed as

DenguePopulation DynamicsAgedHumansPublic HealthThailandaging demographydengue epidemiologyforce of infectioninfectious diseaseThailand

Identifiers

PMID35533273
PMCPMC9171776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.