Addressing the socioeconomic divide in computational modeling for infectious diseases

Autor: Michele Tizzoni, Elaine O. Nsoesie, Laetitia Gauvin, Márton Karsai, Nicola Perra, Shweta Bansal
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications, Vol 13, Iss 1, Pp 1-7 (2022)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-022-30688-8
Popis: The COVID-19 pandemic has highlighted how structural social inequities fundamentally shape disease dynamics. Here, the authors provide a set of practical and methodological recommendations to address socioeconomic vulnerabilities in epidemic models.
Databáze: Directory of Open Access Journals