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Optimal decision-making in relieving global high temperature-related disease burden by data-driven simulation

Crossref DOI link: https://doi.org/10.1016/j.idm.2024.03.001

Published Print: 2024-06

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Li, Xin-Chen https://orcid.org/0000-0003-4014-7835
Qian, Hao-Ran

Zhang, Yan-Yan

Zhang, Qi-Yu https://orcid.org/0000-0002-9174-1298
Liu, Jing-Shu

Lai, Hong-Yu

Zheng, Wei-Guo

Sun, Jian https://orcid.org/0000-0001-7431-7340
Fu, Bo https://orcid.org/0000-0002-3865-323X
Zhou, Xiao-Nong https://orcid.org/0000-0003-1417-8427
Zhang, Xiao-Xi
Funding

Funding for this research was provided by:

National Health Commission of the People's Republic of China

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality
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Text and Data Mining valid from 2024-06-01

Text and Data Mining valid from 2024-06-01

Version of Record valid from 2024-03-10
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This article is maintained by: Elsevier

Article Title: Optimal decision-making in relieving global high temperature-related disease burden by data-driven simulation

Journal Title: Infectious Disease Modelling

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.idm.2024.03.001

Content Type: article

Copyright: © 2024 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.