Addressing the socioeconomic divide in computational modeling for infectious diseases

Michele Tizzoni; Elaine O. Nsoesie; Laetitia Gauvin; Márton Karsai; Nicola Perra; Shweta Bansal

doi:10.1038/s41467-022-30688-8

Addressing the socioeconomic divide in computational modeling for infectious diseases

Michele Tizzoni^*
, Elaine O. Nsoesie
, Laetitia Gauvin
, Márton Karsai
, Nicola Perra
, Shweta Bansal

^*Corresponding author for this work

Department of Network and Data Science

Research output: Contribution to journal › Comment/debate

Original language	English
Article number	2897
Journal	Nature Communications
Volume	13
Issue number	1
DOIs	https://doi.org/10.1038/s41467-022-30688-8
State	Published - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1038/s41467-022-30688-8

Cite this

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title = "Addressing the socioeconomic divide in computational modeling for infectious diseases",

author = "Michele Tizzoni and Nsoesie, \{Elaine O.\} and Laetitia Gauvin and M{\'a}rton Karsai and Nicola Perra and Shweta Bansal",

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doi = "10.1038/s41467-022-30688-8",

language = "English",

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journal = "Nature Communications",

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AU - Tizzoni, Michele

AU - Nsoesie, Elaine O.

AU - Gauvin, Laetitia

AU - Karsai, Márton

AU - Perra, Nicola

AU - Bansal, Shweta

PY - 2022/12

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UR - https://www.scopus.com/pages/publications/85130723562

U2 - 10.1038/s41467-022-30688-8

DO - 10.1038/s41467-022-30688-8

M3 - Comment/debate

C2 - 35610237

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SN - 2041-1723

VL - 13

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 2897

ER -

Addressing the socioeconomic divide in computational modeling for infectious diseases

UN SDGs

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