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:垃圾文件和应用程序缓存会降低iPhone的速度,占用大量存储空间并降低iPhone性能。 为了充分利用和加快iPhone的运行速度,在此我们建议使用最好的iPhone清洁程序,以帮助您轻松清理iOS 12 / iOS 13设备上的垃圾文件,应用程序缓存,Web cookie,临时文件 is pleased to announce the appointment of Rita Kukafka, DrPH, MA, FACMI, as Co-Editor-in-Chief.ĭr Kukafka is a Professor of Biomedical Informatics and Sociomedical Sciences at Columbia University, the Director of the Laboratory for Precision Prevention, and the Principal Investigator of three randomized controlled trials funded by the National Cancer Institute and American Cancer Society. In addition, real time population mobility obtained from crowdsourced digital data could be useful for current and future targeted public health and mitigation policies among Latin American, Caribbean and African countries as well as globally. Conclusions: Prospective space-time scan is a measurement approach that LMICs countries could easily use to detect emerging clusters in a timely manner and implement specific control policies and interventions to slow down COVID-19 transmission. For countries in Africa, population mobility for work reasons during high and very high levels of implemented control policies were related with increased virus spread. Globally, as well as regionally (Latin American, Caribbean and Africa), population mobility to parks and similar leisure areas during all the implemented control policies were related with accelerated COVID-19 spread. We also detected various increasing and decreasing relative risk estimates of COVID-19 spread among Latin American, Caribbean and African countries within the period of analysis. Results: We found that COVID-19 emerging clusters within these five periods of time grew from 7 emerging clusters to 28 by mid-May. Prospective space-time scan statistic methods were applied in five time periods between January to May 2020 and a stepped-wedged regression mixed model analysis was used. A score of government policy interventions was created ranging from “light”, “intermediate”, and “high”, to “very high” interventions. Methods: We created a global COVID-19 database merging WHO daily case reports (of 218 countries, regions and territories) with other measures such as population density, country income levels for January 21st to May 15th, 2020. The second aim was to assess the impact of real-time population mobility patterns between January 21st to May 18th, under the implemented government interventions, measurements and policy restrictions, on COVID-19 spread, among those regions and globally.
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Objective: The first aim of this study was to identify new emerging COVID-19 clusters over time and in space in Latin American, Caribbean, and African regions, using a prospective space-time scan measurement approach. Since then the virus has also rapidly spread among Latin American, Caribbean and African countries. Background: On January 30, 2020, World Health Organization (WHO) declared the current novel coronavirus disease 2019 (COVID-19) as a public health emergency of international concern and later characterized it as a pandemic.