River dataset as a potential fluvial transportation network for healthcare access in the Amazon region

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*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number188
JournalScientific Data
Issue number1
StatePublished - Dec 2023
Externally publishedYes


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