ArticleNature communications2021
Reconstructing unseen transmission events to infer dengue dynamics from viral sequences.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Disruption of spatiotemporal clustering in dengue cases by wMel Wolbachia in Yogyakarta, Indonesia.Scientific reports · 2022Trial
- Early warning of serotype replacement, spatial risk redistribution, and shifting clinical phenotypes: Insights from the 2023-2025 dengue outbreak in Meta, Colombia.PLoS neglected tropical diseases · 2026Observational
- The spatial structure of dengue transmission in Kamphaeng Phet Thailand.PLoS neglected tropical diseases · 2026Article
- Spatiotemporal dynamics of dengue: a town level study in Guangdong, China.BMC infectious diseases · 2026Article
- Spatiotemporal co-circulation of four dengue serotypes across Mexico, 2020-2025: A space-time scan analysis.PloS one · 2026Article
- Predictability of infectious disease outbreak severity: Chikungunya as a case study.Science advances · 2025Article
- Meeting Report on an Integrated Research Agenda for Mosquito-Borne Arboviruses.Open forum infectious diseases · 2025Article
- Unraveling varying spatiotemporal patterns of Dengue Fever and associated exposure-response relationships with environmental variables in three Southeast Asian countries before and during COVID-19.PLoS neglected tropical diseases · 2025Article
- Article
- Dengue.Lancet (London, England) · 2024Review
- Is new dengue vaccine efficacy data a relief or cause for concern?NPJ vaccines · 2023Review
- Low Viral Diversity Limits the Effectiveness of Sequence-Based Transmission Inference for SARS-CoV-2.mSphere · 2023Article
- Geographic migration and vaccine-induced fitness changes ofbioRxiv : the preprint server for biology · 2023Article
- A Maximum Entropy Model of the Distribution of Dengue Serotype in Mexico.Transboundary and emerging diseases · 2023Article
- Connecting the dots: understanding how human mobility shapes TB epidemics.Trends in microbiology · 2022Review
- Bridging landscape ecology and urban science to respond to the rising threat of mosquito-borne diseases.Nature ecology & evolution · 2022Review
- Individual, Household, and Community Drivers of Dengue Virus Infection Risk in Kamphaeng Phet Province, Thailand.The Journal of infectious diseases · 2022Article
- Assessing the role of multiple mechanisms increasing the age of dengue cases in Thailand.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
For most pathogens, transmission is driven by interactions between the behaviours of infectious individuals, the behaviours of the wider population, the local environment, and immunity. Phylogeographic approaches are currently unable to disentangle the relative effects of these competing factors. We develop a spatiotemporally structured phylogenetic framework that addresses these limitations by considering individual transmission events, reconstructed across spatial scales. We apply it to geocoded dengue virus sequences from Thailand (N = 726 over 18 years). We find infected individuals spend 96% of their time in their home community compared to 76% for the susceptible population (mainly children) and 42% for adults. Dynamic pockets of local immunity make transmission more likely in places with high heterotypic immunity and less likely where high homotypic immunity exists. Age-dependent mixing of individuals and vector distributions are not important in determining spread. This approach provides previously unknown insights into one of the most complex disease systems known and will be applicable to other pathogens.
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Registered trials
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.