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

[1]  W. Monteiro,et al.  Snakebites in “Invisible Populations”: A cross-sectional survey in riverine populations in the remote western Brazilian Amazon , 2021, PLoS neglected tropical diseases.

[2]  A. Roth,et al.  HydroSHEDS v2.0 – Refined global river network and catchment delineations from TanDEM-X elevation data , 2021 .

[3]  W. Monteiro,et al.  A painful journey to antivenom: The therapeutic itinerary of snakebite patients in the Brazilian Amazon (The QUALISnake Study) , 2021, PLoS neglected tropical diseases.

[4]  Arthi Shankar Kozhumam,et al.  Microplanning for Designing Vaccination Campaigns in Low-Resource Settings: A Geospatial Artificial Intelligence-Based Framework to Tackle COVID-19 , 2021, SSRN Electronic Journal.

[5]  A. Zipf,et al.  The evolution of humanitarian mapping within the OpenStreetMap community , 2021, Scientific reports.

[6]  S. Strathdee,et al.  The brazilian tragedy: Where patients living at the ‘Earth's lungs’ die of asphyxia, and the fallacy of herd immunity is killing people. , 2021, EClinicalMedicine.

[7]  L. Garnelo,et al.  Barriers to access and organization of primary health care services for rural riverside populations in the Amazon , 2020, International Journal for Equity in Health.

[8]  Bernhard Lehner,et al.  A multidisciplinary framework to derive global river reach classifications at high spatial resolution , 2019, Environmental Research Letters.

[9]  K. de Hoogh,et al.  Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study , 2018, International journal of environmental research and public health.

[10]  M. Dhibi.  Road safety determinants in low and middle income countries , 2018, International journal of injury control and safety promotion.

[11]  Jeremy Mennis,et al.  Geographic information science and the analysis of place and health , 2018, Trans. GIS.

[12]  A. Millard‐Ball,et al.  The world’s user-generated road map is more than 80% complete , 2017, PloS one.

[13]  Jesús González-Feliu,et al.  Vehicle routing problems for city logistics , 2017, EURO J. Transp. Logist..

[14]  Matthew Richard McGrail,et al.  Spatial access disparities to primary health care in rural and remote Australia. , 2015, Geospatial health.

[15]  Bernhard Lehner,et al.  Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems , 2013 .

[16]  Rodrigo Cauduro Dias de Paiva,et al.  Mapping large‐scale river flow hydraulics in the Amazon Basin , 2013 .

[17]  C. Hoven,et al.  Use of GIS Mapping as a Public Health Tool—From Cholera to Cancer , 2013, Health services insights.

[18]  C. Castillo-Salgado,et al.  Geographical information systems and tropical medicine , 2010, Annals of tropical medicine and parasitology.

[19]  K. Verdin,et al.  New Global Hydrography Derived From Spaceborne Elevation Data , 2008 .

[20]  P. Döll,et al.  Development and validation of a global database of lakes, reservoirs and wetlands , 2004 .

[21]  T. Farr,et al.  Shuttle radar topography mission produces a wealth of data , 2000 .

[22]  H. Renssen,et al.  A global river routing network for use in hydrological modeling , 2000 .