Abigail Greenleaf, PhD, is a public health demographer whose research focuses on collecting data in low- and middle-income countries. Abba is interested in survey research methods across a variety of public health topics. Her dissertation research assessed sources of error in cell-phone based estimates of modern contraceptive use among women in Burkina Faso. Abba currently works for ICAP's Population-Based HIV Impact Assessment (PHIA) survey. Carried out under the leadership of the Ministries of Health, PHIA data benchmark a country's progress towards controlling the AIDS epidemic and inform targeted policies and programs. Abba previously worked for the Centers for Disease Control as an Allan Rosenfield Global Health Fellow in Ethiopia and Cameroon. She is a Returned Peace Corps Volunteer (Cameroon 2007-2009).
Honors & Awards
Areas of Expertise
Select Global Activities
Greenleaf AR, Gadiaga A, Turke S, Battle N, Ahmed S, Moreau C, Choi Y. 2019. Comparison of remote data collection modes to monitor family planning progress in Burkina Faso: representativeness, data quality, and cost. Performance Monitoring and Accountability 2020 Methodological Reports No. 4. Baltimore, Maryland, USA: Bill & Melinda Gates Institute for Population and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health and Institute Institute Superieur des Sciences de la Population.
Pariyo GW, Greenleaf AR, Gibson DG, Ali J, Selig H, Labrique AB, et al. 2019. Does mobile phone survey method matter? Reliability of computer-assisted telephone interviews and interactive voice response non-communicable diseases risk factor surveys in low and middle income countries. PLoS ONE 14(4): e0214450.
Greenleaf AR, Ahmed S, Moreau C, Guiella G, Choi Y. 2018. Cell Phone Ownership and Modern Contraceptive use in Burkina Faso: Implications for Research and Interventions using Mobile Technology. Contraception, 2018.
Greenleaf AR, Gibson DG, Khattar C, Labrique AB, Pariyo GW. Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities. J Med Internet Res. 2017;19(5): e140.