气候变化领域集成服务门户(CCPortal): Quantifying the dynamics of migration after Hurricane Maria in Puerto Rico

CCPortal

DOI	10.1073/pnas.2001671117
	Quantifying the dynamics of migration after Hurricane Maria in Puerto Rico
	Acosta R.J.; Kishore N.; Irizarry R.A.; Buckee C.O.
发表日期	2020
ISSN	0027-8424
起始页码	32772
结束页码	32778
卷号	117 期号:51
英文摘要	Population displacement may occur after natural disasters, permanently altering the demographic composition of the affected regions. Measuring this displacement is vital for both optimal postdisaster resource allocation and calculation of measures of public health interest such as mortality estimates. Here, we analyzed data generated by mobile phones and social media to estimate the weekly island-wide population at risk and within-island geographic heterogeneity of migration in Puerto Rico after Hurricane Maria. We compared these two data sources with population estimates derived from air travel records and census data. We observed a loss of population across all data sources throughout the study period; however, the magnitude and dynamics differ by the data source. Census data predict a population loss of just over 129,000 from July 2017 to July 2018, a 4% decrease; air travel data predict a population loss of 168,295 for the same period, a 5% decrease; mobile phone-based estimates predict a loss of 235,375 from July 2017 to May 2018, an 8% decrease; and social media-based estimates predict a loss of 476,779 from August 2017 to August 2018, a 17%decrease. On average,municipalities with a smaller population size lost a bigger proportion of their population. Moreover, we infer that these municipalities experienced greater infrastructure damage as measured by the proportion of unknown locations stemming from these regions. Finally, our analysis measures a general shift of population from rural to urban centers within the island. Passively collected data provide a promising supplement to current at-risk population estimation procedures; however, each data source has its own biases and limitations. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Hurricane Maria; Passively collected data; Population displacement; Puerto Rico
语种	英语
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160682
作者单位	Acosta, R.J., Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States; Kishore, N., Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States; Irizarry, R.A., Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States, Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, United States; Buckee, C.O., Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States
推荐引用方式 GB/T 7714	Acosta R.J.,Kishore N.,Irizarry R.A.,et al. Quantifying the dynamics of migration after Hurricane Maria in Puerto Rico[J],2020,117(51).
APA	Acosta R.J.,Kishore N.,Irizarry R.A.,&Buckee C.O..(2020).Quantifying the dynamics of migration after Hurricane Maria in Puerto Rico.Proceedings of the National Academy of Sciences of the United States of America,117(51).
MLA	Acosta R.J.,et al."Quantifying the dynamics of migration after Hurricane Maria in Puerto Rico".Proceedings of the National Academy of Sciences of the United States of America 117.51(2020).