Work

The evolution of public health statistical modeling approaches and how to advance their incorporation into modern arboviral surveillance

Year: 2025

Type: article

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?

Source: Journal of Medical Entomology

DOI: 10.1093/jme/tjaf127

Authors: Maggie McCarter, Stella C W Self, Alex Ewing, Mufaro Kanyangarara, Sarah M Gunter, Melissa S Nolan

Institutions: University of South Carolina, Prisma Health, Baylor College of Medicine

Language: English

Topic: Mosquito-borne diseases and control

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $4,328