| P50 | author | John B Malone | Q93118305 |
| | Robert Bergquist | Q114737971 |
| P2093 | author name string | Jeffrey C Luvall | |
| | Moara Martins | |
| P2860 | cites work | Geographic information systems and the environmental risk of schistosomiasis in Bahia, Brazil. | Q50647944 |
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| | Estimating air temperature using MODIS surface temperature images for assessing Aedes aegypti thermal niche in Bangkok, Thailand | Q56338940 |
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| | Biomphalaria species distribution and its effect on human Schistosoma mansoni infection in an irrigated area used for rice cultivation in northeast Brazil | Q87405480 |
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| | A study of the environmental determinants of malaria and schistosomiasis in the Philippines using Remote Sensing and Geographic Information Systems | Q39171420 |
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| | Modelling homogeneous regions of social vulnerability to malaria in Rwanda | Q39289614 |
| | Spatial distribution of Biomphalaria spp., the intermediate host snails of Schistosoma mansoni, in Brazil | Q39438550 |
| | Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases | Q39489476 |
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| | Environmental and socio-economic risk modelling for Chagas disease in Bolivia | Q50121115 |
| | New tools for epidemiology: a space odyssey | Q50157878 |
| | Web GIS in practice III: creating a simple interactive map of England's Strategic Health Authorities using Google Maps API, Google Earth KML, and MSN Virtual Earth Map Control | Q24814414 |
| | Geospatial health: the first five years | Q30485269 |
| | SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments | Q30571821 |
| | Use of thermal and vegetation index data from earth observing satellites to evaluate the risk of schistosomiasis in Bahia, Brazil | Q30652974 |
| | Predicting the effects of climate change on Schistosoma mansoni transmission in eastern Africa | Q30882773 |
| | Japan's efforts to promote global health using satellite remote sensing data from the Japan Aerospace Exploration Agency for prediction of infectious diseases and air quality | Q30884923 |
| | A potential impact of climate change and water resource development on the transmission of Schistosoma japonicum in China. | Q30996621 |
| | Climate change and vector-borne diseases | Q31038737 |
| | Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models | Q31072913 |
| | Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES. | Q31072923 |
| | Potential impact of climate change on schistosomiasis transmission in China. | Q31145765 |
| | Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China | Q31169735 |
| | Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques. | Q31170703 |
| | Implementing a geospatial health data infrastructure for control of Asian schistosomiasis in the People's Republic of China and the Philippines | Q33631846 |
| | Changing climate and changing vector-borne disease distribution: the example of Dirofilaria in Europe | Q33814079 |
| | Spatial co-distribution of neglected tropical diseases in the east African great lakes region: revisiting the justification for integrated control | Q33871810 |
| | Large-scale determinants of intestinal schistosomiasis and intermediate host snail distribution across Africa: does climate matter? | Q34091997 |
| | Time to set the agenda for schistosomiasis elimination | Q34266980 |
| | New perspectives on the use of Geographical Information Systems (GIS) in environmental health sciences | Q34663492 |
| | Mapping malaria risk and vulnerability in the United Republic of Tanzania: a spatial explicit model | Q35074239 |
| | Ecological Model to Predict Potential Habitats of Oncomelania hupensis, the Intermediate Host of Schistosoma japonicum in the Mountainous Regions, China | Q35754914 |
| | Biology-based mapping of vector-borne parasites by Geographic Information Systems and Remote Sensing | Q36207599 |
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| | A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology. | Q36403715 |
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| | Temperature data from satellite imagery and the distribution of schistosomiasis in Egypt. | Q36733475 |
| | Lymphatic filariasis transmission risk map of India, based on a geo-environmental risk model | Q37183881 |
| | New insights into the application of geographical information systems and remote sensing in veterinary parasitology | Q37237503 |
| | The use of spatial tools in the study of Schistosoma mansoni and its intermediate host snails in Brazil: a brief review | Q37237511 |
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | ArcGIS | Q513297 |
| | radiometer | Q850281 |
| | ECOSTRESS | Q49098479 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | geographic information system | Q483130 |
| | International Space Station | Q25271 |
| | vector-borne disease | Q2083837 |
| | stress echocardiography | Q3577490 |
| P304 | page(s) | 15 | |
| P577 | publication date | 2019-01-18 | |
| P1433 | published in | Tropical Medicine and Infectious Disease | Q50817506 |
| P1476 | title | Use of Geospatial Surveillance and Response Systems for Vector-Borne Diseases in the Elimination Phase | |
| P478 | volume | 4 | |