Speaker Bio & Abstract
BiographyJohn Momoh received his B.SC degree in Microbiology, and a Masters of Humanitarian and Refugee Studies (MHRS) from the University of Maiduguri, Borno State, Nigeria. He is a certified PRINCE2 Project Management professional. John works as a Project Manager at eHealth Africa, an NGO supporting health delivery systems and humanitarian activities in Nigeria. At eHealth Africa, he has led several interventions and projects including the Polio Vaccination Tracking projects in Borno, and currently supports humanitarian interventions across Northeast Nigeria. His current interests are in project management, research in humanitarian interventions, and data analytics using digital tools. He actively collaborates in the use of digital tools in implementing geospatial support activities towards the eradication of Polio and support for public health delivery systems in Nigeria. AbstractLogistics planning is critical for the success of any field activity, including large-scale data collection exercises and health service delivery work, particularly in contexts with poor operational infrastructure, limited resources, and physical insecurity. While data availability for planning is increasing globally, plan generation and monitoring are often manual processes, requiring painstaking cross-checking of various data sources. Development of these plans can be time-consuming and challenging to monitor, and can lead to financial waste, duplicated efforts, and missed targets. To overcome these challenges, eHealth Africa has leveraged its experience in public health field logistics to develop a tool that makes it possible for users without geospatial expertise to auto-generate robust daily logistics plans matched to available resources (time, personnel), monitor progress against set targets, and make decisions in the field using advanced analytics and geospatial data. This reduces the time required to develop plans, improves accuracy by including real geographic data to estimate proximity of locations, and allows near real-time monitoring of implementation to ensure targets are achieved. By making planning and monitoring of activities efficient and effective, we can improve outcomes for project beneficiaries e.g. better access to vaccines, bed nets, etc.