Evidence map›Paper›PMID 41757167›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Rural dengue dynamics: the interplay of climate, built environment, and agriculture in Costa Rica.

Caroline Glidden, Emma K Southworth, Talya Shragai, Diana Rojas-Araya, Adriana Troyo, Luis Enrique Chaves-González, Rodrigo Marín, Isaac Vargas, Erin Mordecai

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Caroline GliddenStanford University.ORCID 0000-0001-9839-5781
Emma K SouthworthStanford University.ORCID 0000-0003-4718-5527
Talya ShragaiStanford University.
Diana Rojas-ArayaLaboratorio de Investigación en Vectores, Centro de Investigación en Enfermedades Tropicales, Universidad de Costa Rica, San José, Costa Rica.
Adriana TroyoLaboratorio de Investigación en Vectores, Centro de Investigación en Enfermedades Tropicales, Universidad de Costa Rica, San José, Costa Rica.ORCID 0000-0001-9513-9969
Luis Enrique Chaves-GonzálezLaboratorio de Investigación en Vectores, Centro de Investigación en Enfermedades Tropicales, Universidad de Costa Rica, San José, Costa Rica.
Rodrigo MarínPrograma Nacional Manejo Integrado de Vectores, Ministerio de Salud, San José, Costa Rica.
Isaac VargasPrograma Nacional Manejo Integrado de Vectores, Ministerio de Salud, San José, Costa Rica.
Erin MordecaiStanford University.

Funding

Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
Modeling the influence of temperature on the evolution of vector-virus interactionsR01AI168097 · NIAID · WADSWORTH CENTER · PI Alexander Timothy Ciota · 2022 to 2026
$2.4M
NIAID NIH HHS R01 AI168097NIGMS NIH HHS R35 GM133439
6 · The paper itself

Abstract

Dengue is one of the world's highest-burden arboviral diseases. Although classically considered an urban disease, many regions experience a substantial dengue burden in rural areas. The combined influence of long-term climate, short-term weather variation, local built environments, and land-use gradients on dengue dynamics in rural settings remains poorly understood, limiting our ability to predict shifting risk under global change. Here, we investigate these dynamics in Costa Rica to disentangle how these interacting socio-environmental factors shape rural dengue transmission. We first use 22 years of canton-level (admin-2) case data to establish that both dengue cases and incidence are consistently higher in rural than in urban districts. Then, using ten years of district-level (admin-3) monthly case data and a Bayesian hierarchical modeling framework, we identify the climatic and land-use features most strongly associated with dengue risk. Temperature underlies broad spatial patterns in dengue's urban-rural distribution, while precipitation effects differ between coasts, reflecting intercoastal climate zone contrasts rather than interactions between urbanization and water availability. Given suitable climate, even modest levels of built infrastructure substantially increase risk, but the relationship plateaus at higher levels of building volume. Dengue risk is also elevated in areas with high agricultural crop cover at low and mid elevations but not at higher, cooler elevations. Together these results suggest that high risk of rural dengue in Costa Rica result from climate suitability aligning with baseline levels of built infrastructure, with agriculture potentially emerging as a distinct driver of rural dengue transmission.

Identifiers

PMID41757167
PMCPMC12934850

What OpenQuestion holds

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LicenceCC BY
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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.