Tizzoni, Michele and Nsoesie, Elaine O. and Gauvin, Laetitia and Karsai, Márton and Perra, Nicola and Bansal, Shweta (2022) Addressing the socioeconomic divide in computational modeling for infectious diseases. NATURE COMMUNICATIONS, 13 (1). No-2897. ISSN 2041-1723
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Official URL: https://doi.org/10.1038/s41467-022-30688-8
Abstract
The COVID-19 pandemic has highlighted how structural social inequities fun- damentally shape disease dynamics, yet these concepts are often at the margins of the computational modeling community. Building on recent research studies in the area of digital and computational epidemiology, we provide a set of practical and methodological recommendations to address socioeconomic vul- nerabilities in epidemic models.
| Item Type: | Article |
|---|---|
| Subjects: | H Social Sciences / társadalomtudományok > H Social Sciences (General) / társadalomtudomány általában Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 29 Jan 2024 13:22 |
| Last Modified: | 29 Jan 2024 13:22 |
| URI: | http://real.mtak.hu/id/eprint/186554 |
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