Back to search

Article

Probabilistic dengue forecasting and early warning across Mexico (1985-2026): a machine-learning and statistical ensemble with conformal calibration

2026-06-16

Abstract excerpt

<title>Abstract</title> <p>Background: Dengue is among the fastest-spreading mosquito-borne viral diseases, and in 2024 the Region of the Americas reported a record of over 13 million cases, amid renewed concern about increased circulation of dengue virus serotype 3 (DENV-3). Forecasting tools that report calibrated uncertainty, cover a whole country subnationally, and stay reliable during surges remain scarce fo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0b7d6311-3221-51c2-9d6d-10d43e7adc4a
DOI
10.21203/rs.3.rs-10035640/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Probabilistic dengue forecasting and early warning across Mexico (1985-2026): a machine-learning and statistical ensemble with conformal calibrationDOI 10.21203/rs.3.rs-10035640/v1
Select a neighboring publication to make it the new centre.