Monica Anna de Cola is an infectious disease epidemiologist and mathematical modeler with over 15 years of experience spanning administration, public health, research, and evaluation. Her expertise lies in leveraging data-driven insights to inform evidence-based decision-making and advising on global health policies and strategies.
Before joining MMGH, Monica worked at the Malaria Consortium, where she led the development of innovative approaches for evaluating public health programs. She designed monitoring and evaluation frameworks, applied advanced statistical methods and mathematical models to assess program impact, and collaborated closely with governments and global stakeholders. Monica dedicated significant time to in-country capacity building, forging partnerships, and providing technical support to strengthen malaria control strategies.
Monica also held key roles at the World Health Organization, where she provided epidemiological support and strategic coordination for global immunization policy. She conducted vaccine impact analyses, reviewed evidence, and contributed to policy recommendations. Additionally, she supported the Secretariat for SAGE (Strategic Advisory Group of Experts on Immunization), organizing technical consultations, reviewing evidence, and preparing analytical reports. At Gavi, the Vaccine Alliance, Monica contributed to high-quality evaluations of vaccine and program impacts, including editing key documents, managing databases, and producing outputs to guide decision-making.
Monica is an active member of global malaria networks, including the Roll Back Malaria (RBM) Partnership’s Surveillance, Monitoring, and Evaluation Working Group and the Applied Malaria Modelling Network (AMMnet), where she contributes to advancing best practices in malaria modeling and program evaluation.
She is a PhD candidate in Infectious Disease Epidemiology at Imperial College London. Her research focuses on estimating the impact of Seasonal Malaria Chemoprevention (SMC) in Burkina Faso using routine data sources and malaria transmission models.
Based in London, Monica enjoys hiking and trekking, practicing yoga, and exploring new destinations through travel.
Data analysis & visualisation, Epidemiology, Malaria control, Program design and evaluation, Disease transmission modeling, Global health policy