International Journal of Geo-Information Article A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran Navid Mahdizadeh Gharakhanlou 1 , Navid Hooshangi 2 and Marco Helbich 3,* 1 Geospatial Information Science Division, Faculty of Geodesy and Geomatics Engineering, and Center of Excellence in Geo-Information Technology, K.N. Toosi University of Technology, Tehran 1996715433, Iran;
[email protected] 2 Department of Surveying Engineering, College of Earth Sciences Engineering, Arak University of Technology, Arak 3818146763, Iran;
[email protected] 3 Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, 3584 CB Utrecht, The Netherlands * Correspondence:
[email protected] Received: 17 August 2020; Accepted: 13 September 2020; Published: 15 September 2020 Abstract: Malaria threatens the lives of many people throughout the world. To counteract its spread, knowledge of the prevalence of malaria and the effectiveness of intervention strategies is of great importance. The aim of this study was to assess (1) the spread of malaria by means of a spatial agent-based model (ABM) and (2) the effectiveness of several interventions in controlling the spread of malaria. We focused on Sarbaz county in Iran, a malaria-endemic area where the prevalence rate is high. Our ABM, which was carried out in two steps, considers humans and mosquitoes along with their attributes and behaviors as agents, while the environment is made up of diverse environmental factors, namely air temperature, relative humidity, vegetation, altitude, distance from rivers and reservoirs, and population density, the first three of which change over time.