Vol. 9, Issue 6, Part B (2024)

Author(s): Rupam Sachan, Shveta Singh, Renu Singh, Ravi Prakash Prajapati, Kratika Patel, Ravi Dabas, Mounika Godishela, Lipika Sarma and Nripendra Singh

Abstract: Remote Sensing (RS) and Geographic Information Systems (GIS) have revolutionized the field of epidemiology, particularly in mapping and managing parasitic diseases. These technologies enable the collection, analysis, and visualization of spatial data, offering insights into the complex interplay of environmental, ecological, and socio-economic factors that influence disease transmission. RS provides crucial environmental data through satellite imagery, while GIS integrates this with health records and socio-economic indicators to create detailed maps of disease risk and prevalence. Key principles guiding the effective application of RS and GIS include high-quality data acquisition, spatial analysis, predictive modeling, interdisciplinary collaboration, and ethical considerations. These tools have been applied in various case studies, such as mapping malaria risk in Africa, identifying schistosomiasis hotspots in Egypt, and assessing Chagas disease in South America. RS and GIS not only enhance disease surveillance and risk prediction but also optimize public health interventions, improving resource allocation and policy planning. As technology advances, the integration of RS and GIS promises to further transform public health efforts in combating parasitic diseases globally, making them invaluable tools in research and intervention strategies.