Translating global health research aims into action: the example of the ALPHA network
- PMID: 20070637
- DOI: 10.1111/j.1365-3156.2009.02456.x
Translating global health research aims into action: the example of the ALPHA network
Abstract
There is increasing consensus on the importance of strengthening global health research to meet health and development goals. Three key global health research aims are to ensure that research (i) addresses priority health needs, (ii) contributes to policy development, and (iii) adds value to investments in developing countries through South-South collaboration and capacity-strengthening in the South. The ALPHA network (Analysing Longitudinal Population-based HIV/AIDS data on Africa) is an illustrative example of how these global health research aims can be translated into action. The network facilitates additional collaborative HIV epidemiological research among six independent research projects in Africa studying population-based cohorts. Under the first of the earlier mentioned aims, the network addresses key epidemiology research issues in HIV/AIDS which are crucial to making progress and monitoring progress in the response against HIV/AIDS. Under the second aim, the network's scientific programme of research has contributed to strengthening the evidence base on HIV epidemiology in Africa and has informed policy development in areas such as targeted HIV prevention, social support, monitoring epidemic response and epidemic forecasting. Under the third aim, investment in the network has added value to the research investment in the individual projects through capacity development among African researchers as well as through the collaborative research outputs of the individual projects. Lessons from the network are relevant to collaborations facing similar challenges in other areas of global health research. These include the importance of establishing transparent and efficient governance for research collaborations, developing advance consensus on data sharing, ensuring effective communication for networking and demonstrating the added value of research investment in South-South collaborations.
Similar articles
-
Tuberculosis.In: Holmes KK, Bertozzi S, Bloom BR, Jha P, editors. Major Infectious Diseases. 3rd edition. Washington (DC): The International Bank for Reconstruction and Development / The World Bank; 2017 Nov 3. Chapter 11. In: Holmes KK, Bertozzi S, Bloom BR, Jha P, editors. Major Infectious Diseases. 3rd edition. Washington (DC): The International Bank for Reconstruction and Development / The World Bank; 2017 Nov 3. Chapter 11. PMID: 30212088 Free Books & Documents. Review.
-
South-south collaboration on HIV/AIDS prevention and treatment research: when birds of a feather rarely flock together.Global Health. 2018 Mar 1;14(1):25. doi: 10.1186/s12992-018-0341-1. Global Health. 2018. PMID: 29490665 Free PMC article.
-
HIV/AIDS research in Africa and the Middle East: participation and equity in North-South collaborations and relationships.Global Health. 2020 Sep 17;16(1):83. doi: 10.1186/s12992-020-00609-9. Global Health. 2020. PMID: 32943058 Free PMC article.
-
Factors associated with North-South research collaboration focusing on HIV/AIDS: lessons from ClinicalTrials.gov.AIDS Res Ther. 2021 Aug 25;18(1):54. doi: 10.1186/s12981-021-00376-6. AIDS Res Ther. 2021. PMID: 34433475 Free PMC article.
-
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217. Cochrane Database Syst Rev. 2022. PMID: 36321557 Free PMC article.
Cited by
-
How does investment in research training affect the development of research networks and collaborations?Health Res Policy Syst. 2013 May 20;11:18. doi: 10.1186/1478-4505-11-18. Health Res Policy Syst. 2013. PMID: 23688105 Free PMC article.
-
HIV treatment as prevention: systematic comparison of mathematical models of the potential impact of antiretroviral therapy on HIV incidence in South Africa.PLoS Med. 2012;9(7):e1001245. doi: 10.1371/journal.pmed.1001245. Epub 2012 Jul 10. PLoS Med. 2012. PMID: 22802730 Free PMC article.
-
Does the Spectrum model accurately predict trends in adult mortality? Evaluation of model estimates using empirical data from a rural HIV community cohort study in North-Western Tanzania.Glob Health Action. 2014 Jan 16;7:21783. doi: 10.3402/gha.v7.21783. eCollection 2014. Glob Health Action. 2014. PMID: 24438873 Free PMC article.
-
Innovations in health and demographic surveillance systems to establish the causal impacts of HIV policies.Curr Opin HIV AIDS. 2015 Nov;10(6):483-94. doi: 10.1097/COH.0000000000000203. Curr Opin HIV AIDS. 2015. PMID: 26371462 Free PMC article. Review.
-
A FLEXIBLE BAYESIAN FRAMEWORK TO ESTIMATE AGE- AND CAUSE-SPECIFIC CHILD MORTALITY OVER TIME FROM SAMPLE REGISTRATION DATA.Ann Appl Stat. 2022 Mar;16(1):124-143. doi: 10.1214/21-aoas1489. Epub 2022 Mar 28. Ann Appl Stat. 2022. PMID: 37621750 Free PMC article.
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical