Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

Sarah Isnan; Ahmad Fikri bin Abdullah; Abdul Rashid Shariff; Iskandar Ishak; Sharifah Norkhadijah Syed Ismail; Maheshwara Rao Appanan; Jihong Zhang; Guohua Yin; Qiuhua Zhang; Juan Fang; Duo Jiang; Chao Yang; Na Sun; Alireza Mohammadi; Bardia Mashhoodi; Ali Shamsoddini; Elahe Pishgar; Robert Bergquist; Wentao Yang; Fengjie Wang; Yihan You; Zhixiong Fang; Xing Wang; Xiaoming Mei; Sang Min Lee; Dong Woo Huh; Young Gyu Kwon; Peter Nezval; Takeshi Shirabe; Jonas Schoo; Frank Schüssler; Mai Liu; Yin Zhang; Enríque Ibarra-Zapata; Darío Gaytán-Hernández; Yolanda Terán-Figueroa; Verónica Gallegos-García; Carmen del Pilar Suárez-Rodríguez; Sergio Zarazúa Guzmán; Omar Parra Rodríguez; Worrayot Darasawang; Wongsa Laohasiriwong; Kittipong Sornlorm; Warangkana Sungsitthisawad; Roshan Kumar Mahato; Mintesnot Tenkir Teni; Travis Loux; Ness Sandoval; Anne Sebert Kuhlmann; Iuria Betco; Ana Isabel Ribeiro; David S. Vale; Luis Encalada-Abarca; Cláudia M. Viana; Jorge Rocha; Adel Al-Huraibi; Sherif Amer; Justine Blanford; Néstor DelaPaz-Ruíz; Ellen-Wien Augustijn; Mahdi Farnaghi; Sheheen A. Abdulkareem; Raul Zurita Milla

doi:10.4081/gh.2025.1277

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Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

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Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

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Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

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Analytical report of the 2016 dengue outbreak in CÃ³rdoba city, Argentina

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The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

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Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

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Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan

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https://doi.org/10.4081/gh.2025.1277

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Sentiment analysis using a lexicon-based approach in Lisbon, Portugal

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Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

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Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

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Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

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Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

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Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

Analytical report of the 2016 dengue outbreak in CÃ³rdoba city, Argentina

The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

Sentiment analysis using a lexicon-based approach in Lisbon, Portugal

Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

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