River dataset as a potential fluvial transportation network for healthcare access in the Amazon region
Abstract Remote areas, such as the Amazon Forest, face unique geographical challenges of transportation-based access to health services. As transportation to healthcare in most of the Amazon Forest is only possible by rivers routes, any travel time and travel distance estimation is limited by the la...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-04-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02085-3 |
| _version_ | 1797850225561305088 |
|---|---|
| author | Thiago Augusto Hernandes Rocha Lincoln Luís Silva Fan Hui Wen Jacqueline Sachett Anna Tupetz Catherine Ann Staton Wuelton Marcelo Monteiro Joao Ricardo Nickenig Vissoci Charles John Gerardo |
| author_facet | Thiago Augusto Hernandes Rocha Lincoln Luís Silva Fan Hui Wen Jacqueline Sachett Anna Tupetz Catherine Ann Staton Wuelton Marcelo Monteiro Joao Ricardo Nickenig Vissoci Charles John Gerardo |
| author_sort | Thiago Augusto Hernandes Rocha |
| collection | DOAJ |
| description | Abstract Remote areas, such as the Amazon Forest, face unique geographical challenges of transportation-based access to health services. As transportation to healthcare in most of the Amazon Forest is only possible by rivers routes, any travel time and travel distance estimation is limited by the lack of data sources containing rivers as potential transportation routes. Therefore, we developed an approach to convert the geographical representation of roads and rivers in the Amazon into a combined, interoperable, and reusable dataset. To build the dataset, we processed and combined data from three data sources: OpenStreetMap, HydroSHEDS, and GloRiC. The resulting dataset can consider distance metrics using the combination of streets and rivers as a transportation route network for the Amazon Forest. The created dataset followed the guidelines and attributes defined by OpenStreetMap to leverage its reusability and interoperability possibilities. This new data source can be used by policymakers, health authorities, and researchers to perform time-to-care analysis in the International Amazon region. |
| first_indexed | 2024-04-09T18:56:59Z |
| format | Article |
| id | doaj.art-4cbdb5fe62f347e28411368f2d2533b4 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-04-09T18:56:59Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-4cbdb5fe62f347e28411368f2d2533b42023-04-09T11:07:33ZengNature PortfolioScientific Data2052-44632023-04-011011910.1038/s41597-023-02085-3River dataset as a potential fluvial transportation network for healthcare access in the Amazon regionThiago Augusto Hernandes Rocha0Lincoln Luís Silva1Fan Hui Wen2Jacqueline Sachett3Anna Tupetz4Catherine Ann Staton5Wuelton Marcelo Monteiro6Joao Ricardo Nickenig Vissoci7Charles John Gerardo8Department of Emergency Medicine, Duke University School of MedicineDepartment of Emergency Medicine, Duke University School of MedicineButantan InstituteState University of AmazonasDepartment of Emergency Medicine, Duke University School of MedicineDepartment of Emergency Medicine, Duke University School of MedicineState University of AmazonasDepartment of Emergency Medicine, Duke University School of MedicineDepartment of Emergency Medicine, Duke University School of MedicineAbstract Remote areas, such as the Amazon Forest, face unique geographical challenges of transportation-based access to health services. As transportation to healthcare in most of the Amazon Forest is only possible by rivers routes, any travel time and travel distance estimation is limited by the lack of data sources containing rivers as potential transportation routes. Therefore, we developed an approach to convert the geographical representation of roads and rivers in the Amazon into a combined, interoperable, and reusable dataset. To build the dataset, we processed and combined data from three data sources: OpenStreetMap, HydroSHEDS, and GloRiC. The resulting dataset can consider distance metrics using the combination of streets and rivers as a transportation route network for the Amazon Forest. The created dataset followed the guidelines and attributes defined by OpenStreetMap to leverage its reusability and interoperability possibilities. This new data source can be used by policymakers, health authorities, and researchers to perform time-to-care analysis in the International Amazon region.https://doi.org/10.1038/s41597-023-02085-3 |
| spellingShingle | Thiago Augusto Hernandes Rocha Lincoln Luís Silva Fan Hui Wen Jacqueline Sachett Anna Tupetz Catherine Ann Staton Wuelton Marcelo Monteiro Joao Ricardo Nickenig Vissoci Charles John Gerardo River dataset as a potential fluvial transportation network for healthcare access in the Amazon region Scientific Data |
| title | River dataset as a potential fluvial transportation network for healthcare access in the Amazon region |
| title_full | River dataset as a potential fluvial transportation network for healthcare access in the Amazon region |
| title_fullStr | River dataset as a potential fluvial transportation network for healthcare access in the Amazon region |
| title_full_unstemmed | River dataset as a potential fluvial transportation network for healthcare access in the Amazon region |
| title_short | River dataset as a potential fluvial transportation network for healthcare access in the Amazon region |
| title_sort | river dataset as a potential fluvial transportation network for healthcare access in the amazon region |
| url | https://doi.org/10.1038/s41597-023-02085-3 |
| work_keys_str_mv | AT thiagoaugustohernandesrocha riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion AT lincolnluissilva riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion AT fanhuiwen riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion AT jacquelinesachett riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion AT annatupetz riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion AT catherineannstaton riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion AT wueltonmarcelomonteiro riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion AT joaoricardonickenigvissoci riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion AT charlesjohngerardo riverdatasetasapotentialfluvialtransportationnetworkforhealthcareaccessintheamazonregion |