Covid-19时期城市间社会距离的普遍估计

H. Nieto-Chaupis
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引用次数: 0

摘要

在大流行时期,大多数国家以连贯一致的方式关闭机场、关闭本地和国际航班,使人们能够根据每种情况可能出现的流动性改进决策。一旦旅行者搬到另一个国家或城市,所有人都必须对正在进行的大流行有最新的了解,其主要变量是当时和特定地理区域的感染人数。本文提出了一种通用算法,强调了它在不同地方的使用。同时还提供了估计误差。本研究的目的是在智能手机应用程序框架内提供理论,以提供有关感染,疫苗接种率和死亡率的地方的信息。这可能与旅行者有关,他们可以在一定程度上安全地进行空间流离失所,使他们能够在大流行时期改善其日常目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Universal Estimation of an Intercity Social Distancing in Covid-19 Epochs
In pandemic times, in most countries the closing of airports and local as well as international flights are done in a coherent manner that allow people to improve their decisions respect to the mobility that might emerge in each case. Once that travelers have moved to a different country or city, it is mandatory that all of them have an updated knowledge of the ongoing pandemic whose main variable is the number of infections at time and certain geographic area. In this paper, an universal algorithm that underlines its usage in different places is presented. With this the estimation error is also provided. The purpose of this study is to provide a theory inside a framework of applications for smartphone to provide information about the places with infections, vaccination rate and fatalities. This might be of relevance for travelers that can carry out spatial displacements with certain security by empowering them to improve their daily objectives still at pandemic times.
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