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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Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

MALAREO: a user-driven project

Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

Global spreading of Omicron variant of COVID-19

Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

Fine scale mapping of malaria infection clusters by using routinely collected health facility data in urban Dar es Salaam, Tanzania

Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

A review of spatial technologies with applications for malaria transmission modelling and control in Africa

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