Most read article(s)
- COVID-19 Pandemic in India: Through the Lens of Modeling
We reflect on and review India's COVID-19 pandemic response through the lens of modeling and data. The lessons learned from the Indian context may be beneficial for other countries.
- Use of Fertility Awareness-Based Methods for Pregnancy Prevention Among Ghanaian Women: A Nationally Representative Cross-Sectional Survey
At least 18% of Ghanaian female contraceptors rely primarily upon a fertility awareness-based method (FABM), and most wish to learn how to improve its effectiveness but are insufficiently supported to do so. Researchers, programmers, and funders should better understand and address FABM users' needs, in commitment to reproductive autonomy and choice.
- Real-Time Tracking of COVID-19 Rumors Using Community-Based Methods in Côte d'Ivoire
Addressing rumors is critical for managing and ending a public health emergency. We piloted a system for real-time rumor tracking using community-based collection methods, open-source software, and a rapid coding and visualization process to systematically understand and help actors respond to COVID-19 misinformation in Côte d'Ivoire.
- Faith-Based Advocacy for Family Planning Works: Evidence From Kenya and Zambia
Faith-based organizations and religious leaders can be effective family planning advocates for policy change, funding, and services. To do so, they need evidence-based knowledge, training, support within their faith communities, as well as respect for their beliefs and values.
- Improving Services for HIV-Exposed Infants in Zambia and Cameroon Using a Quality Improvement Collaborative Approach
To bridge the gap between what is known and what is done, quality improvement collaboratives (QICs) enable health programs to rapidly address quality challenges at scale. Two QICs in Cameroon and Zambia improved coverage of early infant HIV testing and initiating antiretroviral therapy in HIV-exposed infants. The QIC approach empowers health care workers to design solutions tailored for their specific settings.
- A Mixed-Methods Study of Factors Influencing Access to and Use of Micronutrient Powders in Rwanda
Gaps in complementary feeding practices hinder the use of multiple micronutrients powder (MNP) in Rutsiro district in Rwanda. Successful MNP program implementation requires uninterrupted availability and accessibility to the product, as well as greater understanding of health benefits of the MNP.
- The Demographic and Health Surveys Faculty Fellows Program: Successes, Challenges, and Lessons Learned
Since 2011, the Demographic and Health Surveys (DHS) Faculty Fellows Program has strengthened individual skills in conducting research with data from large surveys and increased institutional capacity to analyze DHS data through fellows' capacity-building activities at their home universities. The lessons learned can inform models for strengthening capacity in analyzing and using data in low- and middle-income countries.
- Micronutrient Powders for Infants and Young Children
Providing standalone micronutrient products for household use is not an easy strategy, but under the right conditions, it can work. To be effective, micronutrient powder programs require robust commodity logistics and support of uptake and adherence.
- Systematic Process Framework for Conducting Implementation Science Research in Food Fortification Programs
Many challenges still exist to fully scaling up food fortification in lower resource settings. To address this need, a collective group of experts in the fields of food fortification and implementation science developed a systematic process framework to provide a tool for identifying and working through challenges.
- Differentiated Service Delivery Models for HIV Treatment in Malawi, South Africa, and Zambia: A Landscape Analysis
Observing the diversity of differentiated service delivery models for HIV treatment in use in sub-Saharan Africa can help policy makers and program planners to improve decision making for treatment delivery in the future. This effort can inform decisions about how to optimize the distribution of models across facilities and regions and how to plan for budget and resource allocation.