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Impact of climate change on dengue fever: a bibliometric analysis
2421PDF: 738Supplementary Materials: 336HTML: 96 -
A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown
670PDF: 245Supplementary Materials: 60HTML: 38 -
Global spreading of Omicron variant of COVID-19
1693PDF: 728HTML: 48 -
Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022
2146PDF: 663Supplementary Materials: 126HTML: 53 -
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)
3750PDF: 1507HTML: 87 -
Spatial clustering of colorectal cancer in Malaysia
1419PDF: 652HTML: 12 -
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
2953PDF: 891Supplementary Materials: 543HTML: 249 -
Global Mpox spread due to increased air travel
2084PDF: 635HTML: 248 -
Estimating malaria burden in Nigeria: a geostatistical modelling approach
7151PDF: 2991HTML: 3252 -
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia
1617PDF: 711Annex I-VI: 127HTML: 68 -
Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data
2630PDF: 806Supplementary Materials: 149HTML: 127 -
Spatial air pollution modelling for a West-African town
3565PDF: 1556SUPPL. MATERIAL: 418HTML: 1079 -
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
2011PDF: 966Supplementary Materials: 152HTML: 62 -
Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis
1858PDF: 981Supplementary Materials: 118HTML: 21 -
Spatio-temporal analysis of fox rabies cases in Germany 2005-2006
2765PDF: 1177HTML: 1206 -
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2574PDF: 1220APPENDIX: 424HTML: 1130 -
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand
1334PDF: 775Supplementary Materials: 113HTML: 33
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