Pages that link to "Q34610934"

The following pages link to The effects of spatial population dataset choice on estimates of population at risk of disease (Q34610934):

Displaying 23 items.

• Global malaria mortality between 1980 and 2010: a systematic analysis (Q20905423) (← links)
• Estimating and mapping the population at risk of sleeping sickness (Q21092278) (← links)
• Visualization and analytics tools for infectious disease epidemiology: a systematic review (Q27008505) (← links)
• High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020 (Q28608199) (← links)
• Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation (Q28714279) (← links)
• Large-scale spatial population databases in infectious disease research (Q28730483) (← links)
• Uncertainties in measuring populations potentially impacted by sea level rise and coastal flooding (Q30575329) (← links)
• Climate-related hazards: a method for global assessment of urban and rural population exposure to cyclones, droughts, and floods (Q30763915) (← links)
• Dynamic population mapping using mobile phone data (Q30864532) (← links)
• Comparison of a mobile phone-based malaria reporting system with source participant register data for capturing spatial and temporal trends in epidemiological indicators of malaria transmission collected by community health workers in rural Zambia (Q30877311) (← links)
• Sources of spatial animal and human health data: Casting the net wide to deal more effectively with increasingly complex disease problems (Q30966741) (← links)
• Mapping the denominator: spatial demography in the measurement of progress (Q34169711) (← links)
• Population distribution, settlement patterns and accessibility across Africa in 2010. (Q34171312) (← links)
• A two-stage cluster sampling method using gridded population data, a GIS, and Google Earth(TM) imagery in a population-based mortality survey in Iraq (Q34249519) (← links)
• Mapping malaria risk and vulnerability in the United Republic of Tanzania: a spatial explicit model (Q35074239) (← links)
• Research on Grid Size Suitability of Gridded Population Distribution in Urban Area: A Case Study in Urban Area of Xuanzhou District, China (Q36259913) (← links)
• Mobile phones and malaria: modeling human and parasite travel (Q36969072) (← links)
• Mapping the capacities of fixed health facilities to cover people at risk of gambiense human African trypanosomiasis (Q37609404) (← links)
• Further shrinking the malaria map: how can geospatial science help to achieve malaria elimination? (Q38124118) (← links)
• GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population data (Q38671631) (← links)
• Assessing Cyanobacterial Harmful Algal Blooms as Risk Factors for Amyotrophic Lateral Sclerosis (Q38805620) (← links)
• Climate change, malaria, and public health: accounting for socioeconomic contexts in past debates and future research (Q58053656) (← links)
• Population allocation at the housing unit level: estimates around underground natural gas storage wells in PA, OH, NY, WV, MI, and CA (Q91683432) (← links)