Works matching IS 18271987 AND DT 2020 AND VI 15 AND IP 2
Results: 23
Visualization of schistosomiasis snail habitats using light unmanned aerial vehicles.
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- Geospatial Health, 2020, v. 15, n. 2, p. 382, doi. 10.4081/gh.2020.818
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- Article
Spatiality in small area estimation: A new structure with a simulation study.
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- Geospatial Health, 2020, v. 15, n. 2, p. 365, doi. 10.4081/gh.2020.872
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- Article
Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast.
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- Geospatial Health, 2020, v. 15, n. 2, p. 371, doi. 10.4081/gh.2020.861
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Understanding the relationship between land use and land cover and malaria in Nepal.
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- Geospatial Health, 2020, v. 15, n. 2, p. 356, doi. 10.4081/gh.2020.855
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- Article
Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health.
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- Geospatial Health, 2020, v. 15, n. 2, p. 348, doi. 10.4081/gh.2020.887
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- Article
Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression.
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- Geospatial Health, 2020, v. 15, n. 2, p. 337, doi. 10.4081/gh.2020.849
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- Article
Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017.
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- Geospatial Health, 2020, v. 15, n. 2, p. 326, doi. 10.4081/gh.2020.860
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- Article
Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand.
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- Geospatial Health, 2020, v. 15, n. 2, p. 320, doi. 10.4081/gh.2020.857
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Spatio-temporal distribution characteristics of cysticercosis from 2000 to 2014 in Dali, Yunnan Province, China.
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- Geospatial Health, 2020, v. 15, n. 2, p. 312, doi. 10.4081/gh.2020.815
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- Article
Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old.
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- Geospatial Health, 2020, v. 15, n. 2, p. 302, doi. 10.4081/gh.2020.819
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- Article
Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil.
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- Geospatial Health, 2020, v. 15, n. 2, p. 293, doi. 10.4081/gh.2020.892
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Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil.
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- Geospatial Health, 2020, v. 15, n. 2, p. 285, doi. 10.4081/gh.2020.885
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- Article
Spatial accessibility to emergency care in Sichuan province in China.
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- Geospatial Health, 2020, v. 15, n. 2, p. 274, doi. 10.4081/gh.2020.891
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Simulation of the spatial distribution of urban populations based on first-aid call data.
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- Geospatial Health, 2020, v. 15, n. 2, p. 267, doi. 10.4081/gh.2020.768
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- Article
Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events.
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- Geospatial Health, 2020, v. 15, n. 2, p. 258, doi. 10.4081/gh.2020.919
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- Article
Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods.
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- Geospatial Health, 2020, v. 15, n. 2, p. 244, doi. 10.4081/gh.2020.913
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Changes in geographic clustering of post-traumatic stress disorder and post-traumatic growth seven years after an earthquake in Cauquenes, Chile.
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- Geospatial Health, 2020, v. 15, n. 2, p. 236, doi. 10.4081/gh.2020.886
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Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina State, Brazil from 2000 to 2016.
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- Geospatial Health, 2020, v. 15, n. 2, p. 225, doi. 10.4081/gh.2020.903
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Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015.
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- Geospatial Health, 2020, v. 15, n. 2, p. 217, doi. 10.4081/gh.2020.856
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- Article
Spatial and temporal analysis of the Human Immunodeficiency Virus (HIV) in an area of social vulnerability in Northeast Brazil.
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- Geospatial Health, 2020, v. 15, n. 2, p. 210, doi. 10.4081/gh.2020.863
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Investigating spatiotemporal patterns of the Covid-19 in São Paulo State, Brazil.
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- Geospatial Health, 2020, v. 15, n. 2, p. 201, doi. 10.4081/gh.2020.925
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Spatial association between the incidence rate of Covid-19 and poverty in the São Paulo municipality, Brazil.
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- Geospatial Health, 2020, v. 15, n. 2, p. 191, doi. 10.4081/gh.2020.921
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First year with Covid-19: Assessment and prospects.
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- Geospatial Health, 2020, v. 15, n. 2, p. 187, doi. 10.4081/gh.2020.953
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- Article