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Behavioral dynamics of COVID-19: estimating underreporting, multiple waves, and adherence fatigue across 92 nations

机译:Covid-19的行为动态:估算92个国家估算次报告,多波和粘附疲劳

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Effective responses to the COVID-19 pandemic require integrating behavioral factors such as risk-driven contact reduction, improved treatment, and adherence fatigue with asymptomatic transmission, disease acuity, and hospital capacity. We build one such model and estimate it for all 92 nations with reliable testing data. Cumulative cases and deaths through 22 December 2020 are estimated to be 7.03 and 1.44 times official reports, yielding an infection fatality rate (IFR) of 0.51 percent, which has been declining over time. Absent adherence fatigue, cumulative cases would have been 47 percent lower. Scenarios through June 2021 show that modest improvement in responsiveness could reduce cases and deaths by about 14 percent, more than the impact of vaccinating half of the population by that date. Variations in responsiveness to risk explain two orders of magnitude difference in per-capita deaths despite reproduction numbers fluctuating around one across nations. A public online simulator facilitates scenario analysis over the coming months. (c) 2021 System Dynamics Society.
机译:对Covid-19大流行的有效响应需要整合风险驱动的接触减少,改善治疗和粘附疲劳等行为因素,以无症状传播,疾病症和医院容量。我们构建一个这样的模型并为所有92个国家估算它具有可靠的测试数据。 2020年12月22日累计案件和死亡估计为7.03和1.44倍的官方报告,产生了0.51%的感染死亡率(IFR),随着时间的推移已经下降。缺乏坚持疲劳,累计案例较低了47%。情景通过6月20211,表明,响应性的适度改善可能会将案例和死亡减少约14%,而不是疫苗接种人口的影响到该日期。响应风险响应的变化解释了人均死亡的两个数量级差异,尽管各地的繁殖数字波动波动。公共在线模拟器促进了未来几个月的情景分析。 (c)2021系统动态社会。

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