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Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
2674PDF: 1166Supplementary Materials: 184HTML: 103 -
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
427PDF: 164Supplementary materials: 28HTML: 4 -
Impact of climate change on dengue fever: a bibliometric analysis
2684PDF: 877Supplementary Materials: 359HTML: 125 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
1892PDF: 844Annex I-VI: 153HTML: 69 -
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme
4046PDF: 1562APPENDIX: 544HTML: 1539 -
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle
6398PDF: 791Supplementary Materials: 250HTML: 113 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
2140PDF: 774Supplementary materials: 189HTML: 110 -
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria
630PDF: 287Supplementary Materials: 63HTML: 11 -
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)
3999PDF: 1631HTML: 109
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