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Mobility data to aid assessment of human responses to extreme environmental conditions

机译:移动数据,以帮助评估人为对极端环境条件的影响

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Mobile phone-derived human mobility data are now publicly available in support of tracking the effect of interventions to control community spread of SARS-CoV-2. 1–3 Previous work leveraged mobility data that used to be proprietary to examine responses to extreme events including wildfires and hurricanes. 4 With increased availability of mobility data, re-highlighting the added value it provides to informing policy aimed at minimising negative health outcomes is worthwhile. For example, mobility data are particularly well suited to assess the effectiveness of heat or smoke early-warning systems promoting collective or individual behavioural actions captured by population-level stay-at-home data. As opposed to hospitalisation or mortality data 5 that becomes available years later, mobility data are generally immediately available 6 and readily useable for real-time evaluation studies.
机译:现在,移动电话衍生的人类流动数据现在可公开可提供跟踪干预措施控制SARS-COV-2的社区传播的效果。 1-3以前的工作利用曾经专有的移动数据,以检查对包括野火和飓风的极端事件的回应。 4随着移动数据的可用性增加,重新突出显示所增加的值,以便在最大限度地减少负面健康成果的信息。 例如,移动数据特别适合于评估促进人口级留在家庭数据捕获的集体或单独行为行为的热量或烟雾预警系统的有效性。 与那些年后的住院或死亡率数据5相反,移动数据通常是立即可用的6,并易于使用实时评估研究。

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