PNAS· Prakhar JaiswalDaniel CoombsCaroline E. WagnerTroy DayChadi M. Saad-Royahttps://ror.org/03rmrcq20Department of Mathematics and Institute of Applied Mathematics, University of British Columbia, Vancouver V6T 1Z4, BC, Canadabhttps://ror.org/03rmrcq20Biodiversity Research Centre, University of British Columbia, Vancouver V6T 1Z4, BC, Canadachttps://ror.org/01pxwe438Department of Bioengineering, McGill University, Montreal H3A 0E9, QC, Canadadhttps://ror.org/02y72wh86Department of Mathematics and Statistics, Queen’s University, Kingston K7L 3N6, ON, Canadaehttps://ror.org/03rmrcq20Department of Microbiology and Immunology, University of British Columbia, Vancouver V6T 1Z4, BC, Canada·· 7 天前AI 评分22
基于简单模型的感染后发病干预管理洞察：PNAS 第123卷第41期研究
Interventions to mitigate post-infection morbidity: Management insights from simple models
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PNAS 第123卷第41期刊发研究，用模型分析干预措施与感染后效应之间的相互作用。研究指出，许多传染病在康复后仍造成发病，但管理通常只关注急性负担。
来源：PNAS · pnas.org