Pages that link to "Q26853928"
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The following pages link to Geospatial health (Q26853928):
Displaying 50 items.
- The use of remotely sensed environmental data in the study of malaria (Q21032538) (← links)
- A review of spatial technologies with applications for malaria transmission modelling and control in Africa (Q28087271) (← links)
- Predicting risk habitats for the transmission of the small liver fluke, Dicrocoelium dendriticum to grazing ruminants (Q28253758) (← links)
- Common errors in disease mapping (Q28283446) (← links)
- Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication (Q28388600) (← links)
- Planning for Rift Valley fever virus: use of geographical information systems to estimate the human health threat of white-tailed deer (Odocoileus virginianus)-related transmission (Q28742390) (← links)
- GeoMedStat: an integrated spatial surveillance system to track air pollution and associated healthcare events (Q30205123) (← links)
- Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system. (Q30363221) (← links)
- Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns. (Q30382454) (← links)
- Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand (Q30395822) (← links)
- Ecological factors associated with pandemic influenza A (H1N1) hospitalization rates in California, USA: a geospatial analysis (Q30409862) (← links)
- Geospatial health: the first five years (Q30485269) (← links)
- The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire (Q30488018) (← links)
- Climate information for public health: the role of the IRI climate data library in an integrated knowledge system (Q30571818) (← links)
- SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments (Q30571821) (← links)
- Analysis of the El Niño/La Niña-Southern Oscillation variability and malaria in the Estado Sucre, Venezuela (Q30571823) (← links)
- A scoping review of spatial cluster analysis techniques for point-event data (Q30640056) (← links)
- Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling (Q30640066) (← links)
- Systematic errors in temperature estimates from MODIS data covering the western Palearctic and their impact on a parasite development model (Q30698425) (← links)
- Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China. (Q30698435) (← links)
- Rift Valley fever dynamics in Senegal: a project for pro-active adaptation and improvement of livestock raising management (Q30698447) (← links)
- 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 (Q30828653) (← links)
- Modelling spatial distribution of snails transmitting parasitic worms with importance to human and animal health and analysis of distributional changes in relation to climate (Q30828655) (← links)
- Climate change and the potential global distribution of Aedes aegypti: spatial modelling using GIS and CLIMEX. (Q30828658) (← links)
- Optimizing denominator data estimation through a multimodel approach (Q30828662) (← links)
- A new multidimensional population health indicator for policy makers: absolute level, inequality and spatial clustering - an empirical application using global sub-national infant mortality data (Q30882125) (← links)
- A methodology for combining multiple commercial data sources to improve measurement of the food and alcohol environment: applications of geographical information systems (Q30882128) (← links)
- Intestinal schistosomiasis and soil-transmitted helminthiasis in Ugandan schoolchildren: a rapid mapping assessment (Q30883101) (← links)
- 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) (← links)
- Modelling recent and future climatic suitability for fasciolosis in Europe (Q30920012) (← links)
- Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data (Q30967956) (← links)
- 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) (← links)
- Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES. (Q31072923) (← links)
- Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty (Q31072932) (← links)
- Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model (Q31073054) (← links)
- Public domain small-area cancer incidence data for New York State, 2005-2009. (Q31079320) (← links)
- Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data (Q31104371) (← links)
- Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution? (Q31104375) (← links)
- Climate change and species distribution: possible scenarios for thermophilic ticks in Romania. (Q31104385) (← links)
- Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data (Q31104387) (← links)
- Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya (Q31111434) (← links)
- Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia (Q31146171) (← links)
- Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset. (Q31146174) (← links)
- Barriers to use of geospatial data for adaptation to climate change and variability: case studies in public health (Q31169724) (← links)
- Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary project (Q31169730) (← links)
- Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China (Q31169735) (← links)
- Bayesian modelling of geostatistical malaria risk data (Q31169745) (← links)
- A GIS framework for the assessment of tick impact on human health in a changing climate (Q31169752) (← links)
- Global climate change--a feasibility perspective of its effect on human health at a local scale (Q31169760) (← links)
- The potential for emergence of Chagas disease in the United States (Q31169786) (← links)