![]() In addition to his research interests on respiratory diseases, Mollalo is also interested in the geographic modeling and predictions of vector-borne diseases. ![]() His research interests lie primarily in spatial and space-time analysis and modeling of major respiratory diseases in the U.S., such as asthma, chronic obstructive pulmonary disease (COPD) and tuberculosis, using novel data science techniques. Mollalo has over seven years of research experience in the application of GIS and spatial statistics for exploring geographic patterns of a variety of infectious diseases. His project-based teaching strategy uses audio-visual learning methods to solve real-world problems that keep students interested and help them gain a deeper understanding of materials taught in lectures. He has a methodology-oriented teaching style that helps students gain hands-on experience in implementing various tools and techniques in both ArcGIS and R environments useful for their future careers. He teaches a variety of courses for both undergraduate and graduate students, such as Introduction to Geographic Information System (GIS), Advanced GIS, Environmental Health, Spatial Epidemiology, Biostatistics, and Data Analysis with R programming language. Mollalo is an assistant professor in the department of public health and prevention science. ![]() in Spatial Epidemiology (medical geography), Department of Geography, University of Florida, 2019 ![]() Assistant Professor in Spatial Epidemiology
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |