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Reducing bias in risk indices for COVID-19
3066PDF: 533Appendix: 441HTML: 38 -
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria
761PDF: 404Supplementary Materials: 98HTML: 16 -
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
544PDF: 267Supplementary materials: 39HTML: 8 -
Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017
603PDF: 320Supplementary materials: 83HTML: 9 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
2354PDF: 825Supplementary materials: 198HTML: 111 -
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis
2214PDF: 703Supplementary materials: 210HTML: 115 -
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand
1700PDF: 916Supplementary Materials: 143HTML: 75 -
Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad
3743PDF: 1262Supplementary Materials: 610HTML: 200 -
Impact of climate change on dengue fever: a bibliometric analysis
2753PDF: 911Supplementary Materials: 367HTML: 129 -
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Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
3317PDF: 1052Supplementary Materials: 575HTML: 255 -
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)
4066PDF: 1663HTML: 116 -
Spatiotemporal analysis of rabies in cattle in central Mexico
2965PDF: 1348HTML: 134

