# | Title | Journal | Year | Citations |
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1 | The utility of “Google Trends” for epidemiological research: Lyme disease as an example | Geospatial Health | 2010 | 206 |
2 | Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference | Geospatial Health | 2014 | 188 |
3 | Alcohol outlet density and alcohol consumption in Los Angeles county and southern Louisiana | Geospatial Health | 2008 | 107 |
4 | Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns | Geospatial Health | 2009 | 100 |
5 | Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX | Geospatial Health | 2014 | 98 |
6 | Bayesian modelling of geostatistical malaria risk data | Geospatial Health | 2006 | 89 |
7 | New insights into the application of geographical information systems and remote sensing in veterinary parasitology | Geospatial Health | 2006 | 80 |
8 | Spatial access disparities to primary health care in rural and remote Australia | Geospatial Health | 2015 | 79 |
9 | Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan | Geospatial Health | 2014 | 76 |
10 | The use of remotely sensed environmental data in the study of malaria | Geospatial Health | 2011 | 74 |
11 | Quantifying the wind dispersal of Culicoides species in Greece and Bulgaria | Geospatial Health | 2007 | 73 |
12 | Estimating the global abundance of ground level presence of particulate matter (PM2.5) | Geospatial Health | 2014 | 73 |
13 | Integrated disease mapping in a polyparasitic world | Geospatial Health | 2007 | 72 |
14 | Does altitude moderate the impact of lithium on suicide? A spatial analysis of Austria | Geospatial Health | 2013 | 64 |
15 | Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania | Geospatial Health | 2009 | 60 |
16 | Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases | Geospatial Health | 2009 | 60 |
17 | Geospatial (s)tools: integration of advanced epidemiological sampling and novel diagnostics | Geospatial Health | 2013 | 60 |
18 | Risk map for cutaneous leishmaniasis in Ethiopia based on environmental factors as revealed by geographical information systems and statistics | Geospatial Health | 2014 | 60 |
19 | Influence of topography on the endemicity of Kala-azar: a study based on remote sensing and geographical information system | Geospatial Health | 2010 | 59 |
20 | Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis | Geospatial Health | 2006 | 57 |
21 | Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya | Geospatial Health | 2006 | 56 |
22 | Modelling recent and future climatic suitability for fasciolosis in Europe | Geospatial Health | 2015 | 54 |
23 | Spatial distribution of Biomphalaria spp., the intermediate host snails of Schistosoma mansoni, in Brazil | Geospatial Health | 2012 | 53 |
24 | Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning | Geospatial Health | 2019 | 53 |
25 | Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda | Geospatial Health | 2006 | 52 |
26 | Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand | Geospatial Health | 2006 | 52 |
27 | Towards assessing fine-scale indicators for the spatial transmission risk of Fasciola hepatica in cattle | Geospatial Health | 2011 | 52 |
28 | Combining global positioning system and accelerometer data to determine the locations of physical activity in children | Geospatial Health | 2012 | 52 |
29 | Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach | Geospatial Health | 2013 | 52 |
30 | A geographical information system-based analysis of cancer mortality and population exposure to coal mining activities in West Virginia, United States of America | Geospatial Health | 2010 | 50 |
31 | Risk assessment for canine leishmaniasis spreading in the north of Italy | Geospatial Health | 2009 | 49 |
32 | Correlation between normalized difference vegetation index and malaria in a subtropical rain forest undergoing rapid anthropogenic alteration | Geospatial Health | 2010 | 49 |
33 | Evaluation of the positional difference between two common geocoding methods | Geospatial Health | 2011 | 49 |
34 | Utilization of the emergency room: impact of geographic distance | Geospatial Health | 2007 | 48 |
35 | Geo-referencing livestock farms as tool for studying cystic echinococcosis epidemiology in cattle and water buffaloes from southern Italy | Geospatial Health | 2007 | 47 |
36 | The potential for emergence of Chagas disease in the United States | Geospatial Health | 2008 | 47 |
37 | Multilevel spatio-temporal dual changepoint models for relating alcohol outlet destruction and changes in neighbourhood rates of assaultive violence | Geospatial Health | 2008 | 47 |
38 | Mapping and predicting malaria transmission in the People’s Republic of China, using integrated biology-driven and statistical models | Geospatial Health | 2010 | 47 |
39 | Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China | Geospatial Health | 2006 | 46 |
40 | An operative dengue risk stratification system in Argentina based on geospatial technology | Geospatial Health | 2012 | 46 |
41 | Spatial distribution of soil-transmitted helminths, including Strongyloides stercoralis, among children in Zanzibar | Geospatial Health | 2008 | 45 |
42 | Temperature-derived potential for the establishment of phlebotomine sandflies and visceral leishmaniasis in Germany | Geospatial Health | 2010 | 45 |
43 | A scoping review of spatial cluster analysis techniques for point-event data | Geospatial Health | 2013 | 44 |
44 | Intestinal schistosomiasis and soil-transmitted helminthiasis in Ugandan schoolchildren: a rapid mapping assessment | Geospatial Health | 2009 | 42 |
45 | Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania | Geospatial Health | 2010 | 42 |
46 | Climate-based risk models for Fasciola hepatica in Colombia | Geospatial Health | 2012 | 41 |
47 | Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling | Geospatial Health | 2013 | 41 |
48 | Modelling spatial distribution of snails transmitting parasitic worms with importance to human and animal health and analysis of distributional changes in relation to climate | Geospatial Health | 2014 | 41 |
49 | Identifying geographical variations in poverty-obesity relationships: empirical evidence from Taiwan | Geospatial Health | 2010 | 40 |
50 | Patterns of intestinal schistosomiasis among mothers and young children from Lake Albert, Uganda: water contact and social networks inferred from wearable global positioning system dataloggers | Geospatial Health | 2012 | 40 |