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Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018
6754PDF: 1270Supplementary Materials: 173HTML: 101 -
Spatial variations of COVID-19 risk by age in Toronto, Canada
1300PDF: 617Appendix: 217HTML: 150 -
A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico
1735PDF: 559Appendix: 281HTML: 49 -
Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance
1065PDF: 386Supplementary Materials: 167HTML: 32 -
Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy
853PDF: 445Supplementary materials: 54HTML: 18 -
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight
1327PDF: 843Supplementary Materials: 184HTML: 74 -
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance
1702PDF: 788Supplementary Materials: 149HTML: 26 -
Spatial clustering of colorectal cancer in Malaysia
1921PDF: 895HTML: 25 -
Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
1081PDF: 418Supplementary Materials: 214HTML: 37 -
Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti
634PDF: 231Supplementary materials: 65HTML: 5 -
Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil
7633PDF: 1568Appendix: 203HTML: 35 -
Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France
949PDF: 428Supplementary materials: 107HTML: 29 -
Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022
2554PDF: 1055Supplementary Materials: 201HTML: 68 -
Diagnostic approaches to malaria in Zambia, 2009-2014
3793PDF: 1529HTML: 1177 -
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand
1902PDF: 1071Supplementary Materials: 186HTML: 112 -
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis
2905PDF: 1401APPENDIX: 507HTML: 1193

