Language
English
Publication Date
1-20-2026
Journal
Journal of Medical Entomology
DOI
10.1093/jme/tjaf127
PMID
41092282
PMCID
PMC12818379
PubMedCentral® Posted Date
10-15-2025
PubMedCentral® Full Text Version
Author MSS
Abstract
Statistical modeling of infectious disease transmission patterns has been in existence since the mid-1700s, evolving in their utility as the scientific and technological revolutions progressed. Despite the expansion of emerging mathematical and statistical methodologies over the past 250 yr, their usage has largely remained restricted to academic settings. This forum article will discuss the evolution of disease modeling techniques, the most common types of models in use today, and recommendations on how key archetypes can be incorporated into future public health practice. With the recent global impetus to predict and forecast novel pathogens, this article raises the question: Why are endemic arboviruses not included in public health modeling efforts, and how can medical entomologists promote their inclusion?
Keywords
Arbovirus Infections, Arboviruses, Public Health, Models, Statistical, Humans, Animals
Published Open-Access
yes
Recommended Citation
McCarter, Maggie; Self, Stella C W; Ewing, Alex; et al., "The Evolution of Public Health Statistical Modeling Approaches and How to Advance Their Incorporation Into Modern Arboviral Surveillance" (2026). Faculty, Staff and Students Publications. 6489.
https://digitalcommons.library.tmc.edu/baylor_docs/6489