[HTML][HTML] Accounting for historical injustices in mathematical models of infectious disease transmission: an analytic overview

NN Abuelezam, I Michel, BDL Marshall, S Galea - Epidemics, 2023 - Elsevier
Differences in infectious disease risk, acquisition, and severity arise from intersectional
systems of oppression and resulting historical injustices that shape individual behavior and …

There are no equal opportunity infectors: epidemiological modelers must rethink our approach to inequality in infection risk

J Zelner, NB Masters, R Naraharisetti… - PLoS computational …, 2022 - journals.plos.org
Mathematical models have come to play a key role in global pandemic preparedness and
outbreak response: helping to plan for disease burden, hospital capacity, and inform …

Modeling infectious disease dynamics in the complex landscape of global health

H Heesterbeek, RM Anderson, V Andreasen, S Bansal… - Science, 2015 - science.org
BACKGROUND Despite many notable successes in prevention and control, infectious
diseases remain an enormous threat to human and animal health. The ecological and …

Modeling approaches toward understanding infectious disease transmission

LA Skrip, JP Townsend - Immunoepidemiology, 2019 - Springer
Long-standing neglected diseases continue to challenge our global health infrastructure,
and emerging pathogens pose new threats worldwide. To inform prevention and response …

Invited commentary: to make long-term gains against infection inequity, infectious disease epidemiology needs to develop a more sociological imagination

J Zelner, R Naraharisetti, S Zelner - American Journal of …, 2023 - academic.oup.com
In a recent article in the Journal, Noppert et al.(Am J Epidemiol. 2023; 192 (3): 475–482)
articulated in detail the mechanisms connecting high-level “fundamental social causes” of …

Commentary: Linking Data and Models: The Importance of Statistical Analyses to Inform Models for the Transmission Dynamics of Infections

VE Pitzer, NE Basta - Epidemiology, 2012 - journals.lww.com
Analyzing infectious disease data presents unique challenges for epidemiologists and
biostatisticians. Unlike chronic diseases, for which a person's risk depends only on his or her …

What's next: using infectious disease mathematical modelling to address health disparities

DM Richard, M Lipsitch - International Journal of Epidemiology, 2024 - academic.oup.com
International Epidemiological Association severity parameters, highlighting the close
dependence of models on high-quality data stratified by social determinants. Other studies …

Merging economics and epidemiology to improve the prediction and management of infectious disease

C Perrings, C Castillo-Chavez, G Chowell, P Daszak… - EcoHealth, 2014 - Springer
Mathematical epidemiology, one of the oldest and richest areas in mathematical biology,
has significantly enhanced our understanding of how pathogens emerge, evolve, and …

[HTML][HTML] Incorporating equity in infectious disease modeling: case study of a distributional impact framework for measles transmission

TF Menkir, A Jbaily, S Verguet - Vaccine, 2021 - Elsevier
Introduction Deterministic compartmental models of infectious diseases like measles
typically reflect biological heterogeneities in the risk of infection and severity to characterize …

Quantifying the impact of social groups and vaccination on inequalities in infectious diseases using a mathematical model

JD Munday, AJ van Hoek, WJ Edmunds, KE Atkins - BMC medicine, 2018 - Springer
Background Social and cultural disparities in infectious disease burden are caused by
systematic differences between communities. Some differences have a direct and …