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MORU Epidemiology is a member of:


Thai GIS Net, a group of professionals in Thailand with an interest in GIS and its application in a variety of industries ranging from health to risk analysis and environmental and urban planning. We hold networking events with talks on topics related to GIS and spatial analysis. We also host links to GIS and spatial data resources for Thailand. ThaiGISNet is organised by MORU Epidemiology. Sign up for our next event


GroupMappers voluntarily contributes to collecting and integrating geospatial data for communicable disease control in Bangladesh. Comprising volunteer members with expertise in Geographic Information Systems (GIS) from different companies, universities, colleges and other organizations in Bangladesh and the Department of Disease Control, Directorate General of Health Services in Bangladesh. GroupMappers is organised by MORU Epidemiology.


The Asia Pacific Malaria Elimination Network (APMEN) is a network of 20 Asia Pacific countries that are pursuing malaria elimination, as well leaders and experts from key multilateral and academic agencies. The Network's mission is to support the achievement of a malaria-free Asia Pacific.


The Digital Solutions for Malaria Elimination Community of Practice is a community of technology organizations, implementers, and subject matter experts who use, develop, or support digital tools in country-led efforts to eliminate malaria.


The mission of the Health GeoLab Collaborative is to facilitate the implementation of the HIS geo-enabling framework across low and middle income countries in Asia and the Pacific for them to fully benefit from the power of geography, geospatial data, and technologies.


The Malaria Modeling Consortium is a collaborative effort between independent modeling groups to provide consensus advice in support of global malaria policy and research.


Tropical Diseases Modelling Network (TDModNet) is a network for mathematical modellers and their collaborators based in the tropics and working on tropical infectious diseases. There are members with a range of research experience (from graduate student to professor) and expertise (mathematicians, biologists, epidemiologists, malariologists, policy makers, geneticists, bioinformaticists, clinicians). The aim is to provide a forum to build mathematical modelling capacity in the developing world in a self-sufficient way by exploiting the pre-existing structure of the network members.