Mapping seasonal demography and mobility for malaria elimination

绘制季节性人口统计和流动性以消除疟疾

• 批准号: 20K10447
• 负责人: 新井 亜弓
• 金额: $ 2.66万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2020
• 资助国家: 日本
• 起止时间: 2020-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20K10447/
• 关键词: mobile phone data; human mobility; developing country; representativeness; population statistics; malaria; mobility indicator; public health

As we planned we conducted the analysis to characterize the attributes of highly-mobile population. We also examined how we could generalize our model to one of west African countries.We obtained the following findings:1) Mobility and population distribution patterns, including access to job opportunities, vary across different socio-economic groups. The highly-mobile population are often geographically concentrated on informal areas. This could be part of factors determining other types of accessibility such as access to services and infrastructure.2) There are specific areas and timing where high-risk population start to concentrate and leave towns, which are closely related to agricultural calendar/seasonality.

按照我们的计划，我们进行了分析，以描述高流动人口的属性。我们还研究了如何将我们的模型推广到一个西非国家，我们得到了以下结果：1）流动性和人口分布模式，包括获得就业机会，在不同的社会经济群体中存在差异。流动性大的人口往往集中在非正规地区。这可能是决定其他类型的无障碍环境（如获得服务和基础设施）的因素的一部分。2）高危人口开始集中和离开城镇的具体地区和时间与农业日历/季节性密切相关。

项目成果

Mobile Phone Data for official statistics (panel)

官方统计的手机数据（面板）

• 发表时间: 2022
• 作者: Tacharoenmuang Ratana;Guntapong Ratigorn;Upachai Sompong;Singchai Phakapun;Fukuda Saori;Ide Tomihiko;Motomura Kazushi;Tatsumi Masashi;Takeda Naokazu;Yoshikawa Tetsushi;Murata Takayuki;Uppapong Ballang;Taniguchi Koki;Komoto Satoshi;Hiroshi WAKAO Chie Sigimoto;Ayumi Arai
• 通讯作者: Ayumi Arai

Building a data ecosystem for using telecom data to inform the COVID-19 response efforts

构建数据生态系统，利用电信数据为 COVID-19 应对工作提供信息

• 发表时间: 2020
• 作者: David Danko et al.;The International MetaSUB Consortium;Ayumi Arao
• 通讯作者: Ayumi Arao

LIRNEasia/Mobile network operator(スリランカ)

LIRNEasia/移动网络运营商（斯里兰卡）

Eduardo Mondlane University/Mobile network operator(モザンビーク)

Eduardo Mondlane 大学/移动网络运营商（莫桑比克）

Development of Big Data-Analysis Pipeline for Mobile Phone Data with Mobipack and Spatial Enhancement

使用 Mobipack 和空间增强开发手机数据大数据分析管道

• DOI: 10.3390/ijgi11030196
• 发表时间: 2022
• 期刊: ISPRS International Journal of Geo-Information
• 影响因子: 3.4
• 作者: Witayangkurn Apichon;Arai Ayumi;Shibasaki Ryosuke
• 通讯作者: Shibasaki Ryosuke