Background: The Knowledge Network project was launched in 2010 to build evidence on the HIV epidemic by using the data generated by HIV programme implementing organisations in India. This paper describes the implementation of the programme and the strategies adopted to enhance the capacity of individuals to document and publish HIV prevention programme learnings. Further, it discusses the outcomes of the initiative.
Methods: A multipronged approach was adopted, where a group of experts were brought together to collaborate with programme implementing organisations, review available data, develop research questions and guide peer-reviewed publications. Further, scientific writing courses were conducted to support individuals from HIV programme implementing organisations as well as educational and government organisations (mentees) to build the documentation capacity of individuals leading programme implementation and current and future researchers. The impact and quality of evidence generated was measured by examining the number of papers published, the number of citations, and the number of papers with at least 10 citations. Additionally, course participants' responses to open-ended questions in the anonymous course evaluation questionnaires are presented as verbatim quotes.
Results: Overall, 99 papers on HIV programmatic learnings from India were finalised under the programme, of which 95 have been published. In all, 67 papers were co-authored by mentees. Most papers were published in high-impact factor (1 or more) journals and 72% were cited at least once in the literature. The main themes documented include key populations' HIV risk, HIV risk of general population groups, HIV/STI service delivery models and community mobilisation interventions.
Conclusion: The study demonstrates that an integrated approach, involving partnership, capacity-building and mentorship, can maximise the use of available data and build the evidence base on HIV programmatic learnings. The capacity-building model adopted in the programme can be used to build scientific writing and documentation capacity in other public health programmes that are implemented at scale.
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http://dx.doi.org/10.1186/s12961-018-0291-3 | DOI Listing |
Viruses
December 2024
Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg 3209, South Africa.
This systematic review and meta-analysis evaluate human papillomavirus (HPV) prevalence, genotype distribution, and associations with cervicovaginal microbiota and cytokine profiles among South African women, where cervical cancer ranks as the second most common cancer. PubMed, SCOPUS, and Web of Science were searched for studies on HPV infection up to 21 September 2024. The pooled prevalence was estimated using a random-effects model, with subgroup analyses by province, sample type, and HIV status.
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December 2024
HIV Pathogenesis Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa.
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November 2024
Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC 27599, USA.
Robust CD8 T cell responses are critical for the control of HIV infection in both adults and children. Our understanding of the mechanisms driving these responses is based largely on studies of cells circulating in peripheral blood in adults, but the regulation of CD8 T cell responses in tissue sites is poorly understood, particularly in pediatric infections. DNA methylation is an epigenetic modification that regulates gene transcription.
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November 2024
Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, Univesity College London, London WC1E 6BT, UK.
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November 2024
Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA 92093, USA.
In 2020, the in the county of San Diego (COSD) was launched, a private-public joint endeavor between the COSD and the American Liver Foundation. We use epidemic modeling to assess whether the COSD is on track to reach its elimination targets (80% reduction in incidence, 65% reduction in hepatitis C virus (HCV)-related mortality by 2030 compared to 2015) and what intervention scale-up may be required. We adapted a previously developed dynamic, deterministic model of HCV transmission and disease progression among adults in the COSD, stratified by risk, age, gender, and human immunodeficiency virus (HIV) status.
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