ArticleCommunications medicine2022
Spatio-temporal dynamics of three diseases caused by
Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Significance of vertical transmission of arboviruses in mosquito-borne disease epidemiology.Parasites & vectors · 2025Pooled it
- Review
- Advances in mosquito-borne disease surveillance using machine learning.New microbes and new infections · 2026Article
- Temporal Machine Learning Models for Classifying Suspected Dengue Cases in Mexico Using Surveillance Data from 2025.Diseases (Basel, Switzerland) · 2026Article
- Proof-of-Concept Machine Learning Framework for Arboviral Disease Classification Using Literature-Derived Synthetic Data: Methodological Development Preceding Clinical Validation.Healthcare (Basel, Switzerland) · 2026Article
- Predicting the global risk of chikungunya virus under climate change using ensemble species distribution models.Frontiers in cellular and infection microbiology · 2026Article
- Machine learning reveals drivers of cold-related illness during energy infrastructure attacks in Wartime Ukraine.Scientific reports · 2025Article
- Bibliometric Analysis of the Evolution and Distribution of Research on Analytical Methods for Climate-Sensitive Infectious Diseases in Latin America and the Caribbean.International journal of environmental research and public health · 2025Review
- Spatial epidemiology of dengue and chikungunya in Karnataka using GIS-based analysis.Global health action · 2025Article
- Evaluating the contribution of weather variables to machine learning forecasts of visceral leishmaniasis in Brazil.Environmental research, health : ERH · 2025Article
- Spatio-temporal analysis of the distribution and co-circulation of dengue, chikungunya, and Zika in Medellín, Colombia, from 2013 to 2021.PLoS neglected tropical diseases · 2025Article
- Leveraging geographic information system for dengue surveillance: a scoping review.Tropical medicine and health · 2025Review
- Wildlife hunting and the increased risk of leprosy transmission in the tropical Americas: a pathogeographical study.Infectious diseases of poverty · 2025Article
- A nationwide joint spatial modelling of simultaneous epidemics of dengue, chikungunya, and Zika in Colombia.BMC infectious diseases · 2025Article
- Zika, chikungunya and co-occurrence in Brazil: space-time clusters and associated environmental-socioeconomic factors.Scientific reports · 2023Article
- A Maximum Entropy Model of the Distribution of Dengue Serotype in Mexico.Transboundary and emerging diseases · 2023Article
- Spatio-temporal dynamics of three diseases caused byCommunications medicine · 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
11 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The intensity of transmission of Methods: We present an integrated analysis of Results: DENV is the most prevalent of the three diseases throughout Mexico, with nearly 60.6% of the municipalities reported having DENV cases. For some spatiotemporal clusters, the influence of socio-economic attributes is larger than the influence of climate attributes for predicting the prevalence of ABDs. XGBoost performs the best in terms of precision-measure for ABDs prevalence. Conclusions: Both socio-demographic and climatic factors influence ABDs transmission in different regions of Mexico. Future studies should build predictive models supporting early warning systems to anticipate the time and location of ABDs outbreaks and determine the stand-alone influence of individual risk factors and establish causal mechanisms.
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What OpenQuestion holds
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.