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Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
3318PDF: 1372Supplementary Materials: 210HTML: 135 -
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches
708PDF: 405Supplementary materials: 58HTML: 16 -
Impact of climate change on dengue fever: a bibliometric analysis
2863PDF: 966Supplementary Materials: 383HTML: 140 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
2144PDF: 929Annex I-VI: 183HTML: 78 -
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme
4291PDF: 1671APPENDIX: 576HTML: 1544 -
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle
6590PDF: 875Supplementary Materials: 289HTML: 124 -
Balancing geo-privacy and spatial patterns in epidemiological studies
4168PDF: 1330APPENDIX: 565HTML: 964 -
Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda
6615PDF: 2417Appendix: 652HTML: 3356Appendix: 268 -
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases
2603PDF: 899Supplementary materials: 224HTML: 117 -
Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti
450PDF: 142Supplementary materials: 34HTML: 2 -
Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia
3674PDF: 1590Appendix: 181HTML: 100 -
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)
4165PDF: 1706HTML: 124 -
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study
2068PDF: 885Supplementary Materials: 151HTML: 41 -
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria
1291PDF: 523Supplementary Materials: 128HTML: 19
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