Abstract

After the Great East Japan Earthquake, planning appropriate healthcare resource allocation was crucial. However, accurately estimating medical care demand was challenging due to substantial population fluctuations caused by extensive evacuations, compounded by the inaccuracy of conventional Resident Resister data in this context. This study employs population data generated from mobile phone network from 2019 to 2020 to conduct a detailed temporal and spatial population estimation in Futaba County, originally a complete evacuation zone. To enhance the precision of population estimates, population data independently collected by each municipality were used as reference data in the estimation process. Further, the utility of the estimated population data for calculating emergency transport rates was assessed. Our findings revealed discrepancies between daytime and nighttime populations within Okuma and Futaba Town, where median day/night population ratio exceeded three across both weekdays and weekends. Additionally, sex–age-adjusted emergency transport rates calculated using the estimated population demonstrated closer alignment with the national average compared to those calculated based on census data. This study demonstrates the importance of considering dynamic population data, such as that generated from mobile phone networks, in enhancing healthcare planning and ensuring that resources are efficiently allocated to meet communities’ evolving needs during recovery periods.

Details

Title
Enhancing healthcare planning using population data generated from mobile phone networks in Futaba County after the Great East Japan earthquake
Author
Higuchi, Asaka 1 ; Yoshimura, Hiroki 2 ; Saito, Hiroaki 3 ; Abe, Toshiki 1 ; Murakami, Michio 4 ; Zhao, Tianchen 1 ; Amir, Isamu 1 ; Ito, Naomi 1 ; Yamamoto, Chika 1 ; Nonaka, Saori 5 ; Sawano, Toyoaki 5 ; Shimada, Yuki 1 ; Ozaki, Akihiko 6 ; Oikawa, Tomoyoshi 7 ; Tsubokura, Masaharu 5 

 Fukushima Medical University School of Medicine, Department of Radiation Health Management, Fukushima, Japan (GRID:grid.411582.b) (ISNI:0000 0001 1017 9540) 
 Fukushima Medical University School of Medicine, Department of Radiation Health Management, Fukushima, Japan (GRID:grid.411582.b) (ISNI:0000 0001 1017 9540); Hiroshima University, School of Medicine, Hiroshima, Japan (GRID:grid.257022.0) (ISNI:0000 0000 8711 3200) 
 Fukushima Medical University School of Medicine, Department of Radiation Health Management, Fukushima, Japan (GRID:grid.411582.b) (ISNI:0000 0001 1017 9540); Soma Central Hospital, Department of Internal Medicine, Fukushima, Japan (GRID:grid.440139.b) 
 Osaka University, Center for Infectious Disease Education and Research, Osaka, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971) 
 Fukushima Medical University School of Medicine, Department of Radiation Health Management, Fukushima, Japan (GRID:grid.411582.b) (ISNI:0000 0001 1017 9540); Minamisoma Municipal General Hospital, Research Center for Community Health, Fukushima, Japan (GRID:grid.518427.d) 
 Minamisoma Municipal General Hospital, Research Center for Community Health, Fukushima, Japan (GRID:grid.518427.d); Jyoban Hospital of Tokiwa Foundation, Department of Breast Surgery, Fukushima, Japan (GRID:grid.507981.2) (ISNI:0000 0004 5935 0742) 
 Minamisoma Municipal General Hospital, Department of Neurosurgery, Fukushima, Japan (GRID:grid.416773.0) (ISNI:0000 0004 1764 8671) 
Pages
29022
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3132021504
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.