论文标题

大流行信息学:准备,鲁棒性和韧性;疫苗分布,物流和优先级;和关注的变体

Pandemic Informatics: Preparation, Robustness, and Resilience; Vaccine Distribution, Logistics, and Prioritization; and Variants of Concern

论文作者

Bradley, Elizabeth, Marathe, Madhav, Moses, Melanie, Gropp, William D, Lopresti, Daniel

论文摘要

传染病每年在全球造成超过1300万人死亡。全球化,城市化,气候变化和生态压力大大增加了全球大流行的风险。持续的共同证明是1918年以来H1N1爆发以来首次爆发自H1N1爆发以来的首次,这是1918年流感大流行的最糟糕的事物。截至2020年11月4日,全球据报道,已有超过4700万的感染和100万人死亡,全球市场损失了数万亿美元。多年来,大流行将继续对美国和世界产生重大破坏性影响。十多年来,可能会感受到其二级和三级影响。减轻大流行的国家和全球负担的有效策略必须:1)考虑到许多相互依存的驱动因素,检测发生的时间和位置; 2)预计公众对爆发的反应,包括阻碍反应者并传播传染的恐慌行为; 3)并制定可行的政策,以实现目标和有效的响应。

Infectious diseases cause more than 13 million deaths a year, worldwide. Globalization, urbanization, climate change, and ecological pressures have significantly increased the risk of a global pandemic. The ongoing COVID-19 pandemic-the first since the H1N1 outbreak more than a decade ago and the worst since the 1918 influenza pandemic-illustrates these matters vividly. More than 47M confirmed infections and 1M deaths have been reported worldwide as of November 4, 2020 and the global markets have lost trillions of dollars. The pandemic will continue to have significant disruptive impacts upon the United States and the world for years; its secondary and tertiary impacts might be felt for more than a decade. An effective strategy to reduce the national and global burden of pandemics must: 1) detect timing and location of occurrence, taking into account the many interdependent driving factors; 2) anticipate public reaction to an outbreak, including panic behaviors that obstruct responders and spread contagion; 3) and develop actionable policies that enable targeted and effective responses.

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