Hospital accessibility by Ga2SFCA (past version)
收藏DataCite Commons2024-09-07 更新2024-08-19 收录
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https://figshare.com/articles/dataset/_b_National-scale_1KM_maps_of_hospital_travel_time_and_hospital_accessibility_in_China_b_/26196110
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Ensuring equitable access to health services is crucial for public welfare and social equity, and is a key objective of the United Nations' Sustainable Development Goals (SDGs). However, existing datasets often define hospital accessibility using travel time to hospitals in geographic dimension only, without considering the supply (hospital capacity) and demand (population distribution) dynamics. To overcome this limitation, we developed and validated a national-scale 1 KM map of both hospital travel time and hospital accessibility in China. We used Gaussian two-step floating catchment area (Ga2SFCA) model to calculate hospital accessibility, incorporating hospital capacity and service population. Various file types and statistical indicators are provided, making the dataset highly accessible for non-specialists. The dataset fills the gap in publicly available nationwide hospital accessibility data for China and can serve as a critical tool in optimizing resource allocation and developing targeted strategies to improve healthcare equity.In this version, the maximum scanning radius is set to 60 minutes. In the latest version (folder: Hospital accessibility by Ga2SFCA), the maximum scanning radius for primary, secondary, and tertiary hospitals was set to 30 minutes, 45 minutes, and 60 minutes, respectively<br>
提供机构:
figshare
创建时间:
2024-07-06



