Last data update: Dec 02, 2024. (Total: 48272 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Musingila PK[original query] |
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Voluntary medical male circumcisions for HIV prevention - 13 countries in eastern and southern Africa, 2017-2021
Peck ME , Ong KS , Lucas T , Harvey P , Lekone P , Letebele M , Thomas VT , Maziya V , Mkhontfo M , Gultie T , Mulatu D , Shimelis M , Zegeye T , Juma AW , Odoyo-June E , Musingila PK , Njenga J , Auld A , Kapito M , Maida A , Msungama W , Canda M , Come J , Malimane I , Aupokolo M , Zemburuka B , Kankindi I , Malamba S , Remera E , Tubane E , Machava R , Maphothi N , Vranken P , Amuri M , Kazaura KJ , Simbeye D , Alamo S , Kabuye G , Chituwo O , Kamboyi R , Masiye J , Mandisarisa J , Xaba S , Toledo C . MMWR Morb Mortal Wkly Rep 2023 72 (10) 256-260 In 2007, voluntary medical male circumcision (VMMC) was endorsed by the World Health Organization (WHO) and the Joint United Nations Programme on HIV/AIDS after it was found to be associated with approximately a 60% reduction in the risk for female-to-male transmission of HIV (1). As a result of this endorsement, the U.S. President's Emergency Plan for AIDS Relief (PEPFAR), through partnerships with U.S. government agencies, including CDC, the U.S. Department of Defense, and the U.S. Agency for International Development, started supporting VMMCs performed in prioritized countries in southern and eastern Africa. During 2010-2016, CDC supported 5,880,372 VMMCs in 12 countries (2,3). During 2017-2021, CDC supported 8,497,297 VMMCs performed in 13 countries. In 2020, the number of VMMCs performed declined 31.8% compared with the number in 2019, primarily because of COVID-19-related disruptions to VMMC service delivery. PEPFAR 2017-2021 Monitoring, Evaluation, and Reporting data were used to provide an update and describe CDC's contribution to the scale-up of the VMMC program, which is important to meeting the 2025 Joint United Nations Programme on HIV/AIDS (UNAIDS) target of 90% of males aged 15-59 years having access to VMMC services in prioritized countries to help end the AIDS epidemic by 2030 (4). |
Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019)
Waruru A , Onyango D , Nyagah L , Sila A , Waruiru W , Sava S , Oele E , Nyakeriga E , Muuo SW , Kiboye J , Musingila PK , van der Sande MAB , Massawa T , Rogena EA , DeCock KM , Young PW . PLoS One 2022 17 (1) e0261162 BACKGROUND: In resource-limited settings, underlying causes of death (UCOD) often are not ascertained systematically, leading to unreliable mortality statistics. We reviewed medical charts to establish UCOD for decedents at two high volume mortuaries in Kisumu County, Kenya, and compared ascertained UCOD to those notified to the civil registry. METHODS: Medical experts trained in COD certification examined medical charts and ascertained causes of death for 456 decedents admitted to the mortuaries from April 16 through July 12, 2019. Decedents with unknown HIV status or who had tested HIV-negative >90 days before the date of death were tested for HIV. We calculated annualized all-cause and cause-specific mortality rates grouped according to global burden of disease (GBD) categories and separately for deaths due to HIV/AIDS and expressed estimated deaths per 100,000 population. We compared notified to ascertained UCOD using Cohen's Kappa (κ) and assessed for the independence of proportions using Pearson's chi-squared test. FINDINGS: The four leading UCOD were HIV/AIDS (102/442 [23.1%]), hypertensive disease (41/442 [9.3%]), other cardiovascular diseases (23/442 [5.2%]), and cancer (20/442 [4.5%]). The all-cause mortality rate was 1,086/100,000 population. The highest cause-specific mortality was in GBD category II (noncommunicable diseases; 516/100,000), followed by GBD I (communicable, perinatal, maternal, and nutritional; 513/100,000), and III (injuries; 56/100,000). The HIV/AIDS mortality rate was 251/100,000 population. The proportion of deaths due to GBD II causes was higher among females (51.9%) than male decedents (42.1%; p = 0.039). Conversely, more men/boys (8.6%) than women/girls (2.1%) died of GBD III causes (p = 0.002). Most of the records with available recorded and ascertained UCOD (n = 236), 167 (70.8%) had incorrectly recorded UCOD, and agreement between notified and ascertained UCOD was poor (29.2%; κ = 0.26). CONCLUSIONS: Mortality from infectious diseases, especially HIV/AIDS, is high in Kisumu County, but there is a shift toward higher mortality from noncommunicable diseases, possibly reflecting an epidemiologic transition and improving HIV outcomes. The epidemiologic transition suggests the need for increased focus on controlling noncommunicable conditions despite the high communicable disease burden. The weak agreement between notified and ascertained UCOD could lead to substantial inaccuracies in mortality statistics, which wholly depend on death notifications. |
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