Evidence map›Paper›PMID 39578656›Full record

ArticleScientific reports2024

Enhancing healthcare planning using population data generated from mobile phone networks in Futaba County after the Great East Japan earthquake.

Asaka Higuchi, Hiroki Yoshimura, Hiroaki Saito, Toshiki Abe, Michio Murakami, Tianchen Zhao, Isamu Amir, Naomi Ito, Chika Yamamoto, Saori Nonaka and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Asaka HiguchiDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Hiroki YoshimuraDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Hiroaki SaitoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Toshiki AbeDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Michio MurakamiCenter for Infectious Disease Education and Research, Osaka University, Osaka, Japan.
Tianchen ZhaoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Isamu AmirDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Naomi ItoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Chika YamamotoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Saori NonakaDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Toyoaki SawanoDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Yuki ShimadaDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan.
Akihiko OzakiResearch Center for Community Health, Minamisoma Municipal General Hospital, Fukushima, Japan.
Tomoyoshi OikawaDepartment of Neurosurgery, Minamisoma Municipal General Hospital, Fukushima, Japan.
Masaharu TsubokuraDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan. tsubo-m@fmu.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cell PhoneEarthquakesFemaleHealth PlanningHumansJapanMaleDisaster medicineEmergency transportMedical planningMobile spatial statisticsPopulation estimationPublic health

Identifiers

PMID39578656
PMCPMC11584627

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.