Search

Research and innovation have been fundamental to many of the successes in immunization thus far, and will play important roles in the future success of Immunization Agenda 2030 (IA2030). Strategic Priority 7 (SP7) of IA2030, which addresses research and innovation, is explicitly informed by country needs and priorities, and aims to strengthen the innovation ecosystem through capacity building and collaboration at country, regional, and global levels. SP7 identifies four key focus areas: (1) "needs-based innovation", (2) "new and improved products, services, and practices", (3) "evidence for implementation", and (4) "local capacity". Strategic interventions in these key focus areas apply the lessons of the Global Vaccine Action Plan and the "Decade of Vaccines" to emphasize local innovation, promote the use of research by countries to improve program performance and impact, and encourage capacity building for the development and implementation of innovations. The proposed approach will maintain a focus on the development of new vaccines and the improvement of existing vaccines, and increase attention to innovation in service delivery. Monitoring and evaluation will foster evidence-based priority setting at the country level and help to ground the global research and development (RD) agenda in the needs of communities. Together, these approaches are intended to harness the power of research and innovation more effectively, to meet the challenges of the future and achieve the ambitious goals of IA2030.

Nigeria is the most populous country in Africa and in 2012 was suffering some of the lowest vaccination rates in the World. A combination of factors had resulted in a dysfunctional immunization cold chain and supply chain. Recognizing that the number of unimmunized children contributed to high levels of under-5-mortality, and that health MDGs would not be attained, Minister of State for Health Mohammed Pate launched a vaccines transformation project in 2013. In partnership with BMGF, GAVI, UNICEF, WHO, other donors and implementing partners the transformation journey has so far taken three years and achieved impressive results. It has though faced challenges along the way and with the financial burden of GAVI graduation facing Nigeria, the economic downturn and the decentralized funding of health services, the results are far from sustained. This paper documents the work undertaken at the Federal level and then highlights specific work undertaken in partnership with Lagos State Government. It identifies the importance of taking an end to end approach and looking at the root causes of weak system performance. The strategy combined simple innovations in how data was captured, recorded and used to drive decision making. It included a comprehensive and systematic approach to cold chain procurement, installation and maintenance with a shift to a culture of active cold chain maintenance that is performing with higher levels of uptime. It also included supply chain redesign at both the Federal and State level. Finally, it involved an institutional transformation at the National Primary Health Care Development Agency (NPHCDA) to establish a data driven Department of Logistics and Health Commodities (DLHC) to manage the many challenges in immunizing 7.5 million children annually. While results have been impressive, there have been many challenges and lessons learned on the way. As Nigeria gets ready for its graduation from GAVI, a robust agile performing cold chain and supply chain will be essential for the good health of Nigeria's children and its economy. The necessary transformation journey has only just begun.

This paper describes the principles of applied computable general equilibrium modelling and the application of a two sector model to the Cameroon economy. An overview is given of the economic situation and performance of Cameroon together with a background summary of the application by Maxwell Stamp of computable general equilibrium models (CGEMs) to policy analysis in industrialising countries. A brief description is made, with reference to the Cameroon multisector equilibrium model, of the theoretical basis, typical structure and key assumptions of a CGEM. A critical explanation of the modelling methodology is then given. The structure and rationale for a two sector model is presented with detailed model equations and the associated data requirements. The model is then used, with national accounts data, to conduct comparative static experiments of the impact of different policy interventions on economic activity and the real exchange rate in Cameroon.