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Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
2971PDF: 1264Supplementary Materials: 200HTML: 121 -
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
607PDF: 309Supplementary materials: 45HTML: 10 -
Impact of climate change on dengue fever: a bibliometric analysis
2786PDF: 933Supplementary Materials: 373HTML: 134 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
2034PDF: 897Annex I-VI: 168HTML: 74 -
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme
4207PDF: 1620APPENDIX: 565HTML: 1542 -
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle
6514PDF: 837Supplementary Materials: 274HTML: 121 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
2446PDF: 854Supplementary materials: 208HTML: 113 -
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria
823PDF: 432Supplementary Materials: 105HTML: 17 -
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)
4105PDF: 1680HTML: 119
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