PEPFAR Malawi’s Country Operational Plan 2022 (COP22) embodies joint priorities from national and subnational dialogues building on the 2020-2025 National Strategic Plan for HIV/AIDS. The interagency team has developed a person-centered, district-tailored and Malawi Population-Based HIV Impact Ass...essment (MPHIA)-informed strategy through extensive engagement with Government of Malawi (GoM) and Civil Society Organizations (CSOs) to sustain HIV epidemic control. At the end of COP21, PEPFAR Malawi was commended for contributing to reaching epidemic control in strong collaboration with GoM and stakeholders including the Global Fund to Fight AIDS, Tuberculosis and Malaria (Global Fund). This includes enrollment of 88% of recipients of care on three or more months of antiretroviral treatment (ART), better outcomes for Malawian children through remarkable efforts in Orphans and Vulnerable Children (OVC) programming and progress made towards reaching men with more intentional and focused programming.
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DHS Further Analysis Reports No 102
DHS Analytical Studies No. 51
Child Health, Family Planning, Geographic Information, HIV, Malaria, Maternal Health
Integrated Management of Childhood Illness (IMCI) is an integrated approach to child health that focuses on the holistic well-being of the child. IMCI aims to reduce death, illness and disability, and to promote improved growth and development among children under five years of age. IMCI includes bo...th preventive and curative elements that are implemented by families and communities as well as by health facilities.
This booklet contains useful information on childhood sickness and offers practical guidance on diagnosis and treatment of said illnesses. it is divided into 2 parts, one for infants (new born until 2 months) and from 2 months to 5 years. It also includes:
Antiretroviral Therapy ART) treatment for children
Skin problems
Counselling the mother or caregiver on infant and you child feeding
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Vol. 7, No. 1 (2018) | ISSN 2166-7403 (online) DOI 10.5195/cajgh.2018.295 | http://cajgh.pitt.edu
DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Equity and Quality in Health: a People's Right