Last data update: Jun 17, 2024. (Total: 47034 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Kampira E [original query] |
---|
SARS-CoV-2 seroprevalence and vaccine uptake among pregnant women at first antenatal care visits in Malawi
Tenthani L , Seffren V , Kabaghe AN , Ogollah F , Soko M , Yadav R , Kayigamba F , Payne D , Wadonda-Kabondo N , Kampira E , Volkmann T , Sugandhi NS , Seydel K , Rogier E , Thwing JI , Gutman JR . Am J Trop Med Hyg 2024 Many SARS-CoV-2 infections are asymptomatic, thus reported cases underestimate actual cases. To improve estimates, we conducted surveillance for SARS-CoV-2 seroprevalence among pregnant women attending their first antenatal care visit (ANC1) from June 2021 through May 2022. We administered a questionnaire to collect demographic, risk factors, and COVID-19 vaccine status information and tested dried blood spots for SARS-CoV-2 antibodies. Although <1% of ANC1 participants reported having had COVID-19, monthly SARS-CoV-2 seroprevalence increased from 15.4% (95% CI: 10.5-21.5) in June 2021 to 65.5% (95% CI: 55.5-73.7) in May 2022. Although COVID-19 vaccination was available in March 2021, uptake remained low, reaching a maximum of 9.5% (95% CI: 5.7-14.8) in May 2022. Results of ANC1 serosurveillance provided prevalence estimates helpful in understanding this population case burden that was available through self-report and national case reports. To improve vaccine uptake, efforts to address fears and misconceptions regarding COVID-19 vaccines are needed. |
Contribution of PEPFAR-supported HIV and TB molecular diagnostic networks to COVID-19 testing preparedness in 16 countries
Romano ER , Sleeman K , Hall-Eidson P , Zeh C , Bhairavabhotla R , Zhang G , Adhikari A , Alemnji G , Cardo YR , Pinheiro A , Pocongo B , Eno LT , Shang JD , Ndongmo CB , Rosario H , Moreno O , DeLen LAC , Fonjungo P , Kabwe C , Ahuke-Mundeke S , Gama D , Dlamini S , Maphalala G , Abreha T , Purfield A , Gebrehiwot YT , Desalegn DM , Basiye F , Mwangi J , Bowen N , Mengistu Y , Lecher S , Kampira E , Kaba M , Bitilinyu-Bangoh J , Masamha G , Viegas SO , Beard RS , vanRooyen G , Shiningavamwe AN , I JM , Iriemenam NC , Mba N , Okoi C , Katoro J , Kenyi DL , Bior BK , Mwangi C , Nabadda S , Kaleebu P , Yingst SL , Chikwanda P , Veri L , Simbi R , Alexander H . Emerg Infect Dis 2022 28 (13) S59-s68 The US President's Emergency Plan for AIDS Relief (PEPFAR) supports molecular HIV and tuberculosis diagnostic networks and information management systems in low- and middle-income countries. We describe how national programs leveraged these PEPFAR-supported laboratory resources for SARS-CoV-2 testing during the COVID-19 pandemic. We sent a spreadsheet template consisting of 46 indicators for assessing the use of PEPFAR-supported diagnostic networks for COVID-19 pandemic response activities during April 1, 2020, to March 31, 2021, to 27 PEPFAR-supported countries or regions. A total of 109 PEPFAR-supported centralized HIV viral load and early infant diagnosis laboratories and 138 decentralized HIV and TB sites reported performing SARS-CoV-2 testing in 16 countries. Together, these sites contributed to >3.4 million SARS-CoV-2 tests during the 1-year period. Our findings illustrate that PEPFAR-supported diagnostic networks provided a wide range of resources to respond to emergency COVID-19 diagnostic testing in 16 low- and middle-income countries. |
HIV-1 Recent Infection Testing Algorithm With Antiretroviral Drug Detection to Improve Accuracy of Incidence Estimates
Voetsch AC , Duong YT , Stupp P , Saito S , McCracken S , Dobbs T , Winterhalter FS , Williams DB , Mengistu A , Mugurungi O , Chikwanda P , Musuka G , Ndongmo CB , Dlamini S , Nuwagaba-Biribonwoha H , Pasipamire M , Tegbaru B , Eshetu F , Biraro S , Ward J , Aibo D , Kabala A , Mgomella GS , Malewo O , Mushi J , Payne D , Mengistu Y , Asiimwe F , Shang JD , Dokubo EK , Eno LT , Zoung-Kanyi Bissek AC , Kingwara L , Junghae M , Kiiru JN , Mwesigwa RCN , Balachandra S , Lobognon R , Kampira E , Detorio M , Yufenyuy EL , Brown K , Patel HK , Parekh BS . J Acquir Immune Defic Syndr 2021 87 S73-s80 BACKGROUND: HIV-1 incidence calculation currently includes recency classification by HIV-1 incidence assay and unsuppressed viral load (VL ≥ 1000 copies/mL) in a recent infection testing algorithm (RITA). However, persons with recent classification not virally suppressed and taking antiretroviral (ARV) medication may be misclassified. SETTING: We used data from 13 African household surveys to describe the impact of an ARV-adjusted RITA on HIV-1 incidence estimates. METHODS: HIV-seropositive samples were tested for recency using the HIV-1 Limiting Antigen (LAg)-Avidity enzyme immunoassay, HIV-1 viral load, ARVs used in each country, and ARV drug resistance. LAg-recent result was defined as normalized optical density values ≤1.5. We compared HIV-1 incidence estimates using 2 RITA: RITA1: LAg-recent + VL ≥ 1000 copies/mL and RITA2: RITA1 + undetectable ARV. We explored RITA2 with self-reported ARV use and with clinical history. RESULTS: Overall, 357 adult HIV-positive participants were classified as having recent infection with RITA1. RITA2 reclassified 55 (15.4%) persons with detectable ARV as having long-term infection. Those with detectable ARV were significantly more likely to be aware of their HIV-positive status (84% vs. 10%) and had higher levels of drug resistance (74% vs. 26%) than those without detectable ARV. RITA2 incidence was lower than RITA1 incidence (range, 0%-30% decrease), resulting in decreased estimated new infections from 390,000 to 341,000 across the 13 countries. Incidence estimates were similar using detectable or self-reported ARV (R2 > 0.995). CONCLUSIONS: Including ARV in RITA2 improved the accuracy of HIV-1 incidence estimates by removing participants with likely long-term HIV infection. |
- Page last reviewed:Feb 1, 2024
- Page last updated:Jun 17, 2024
- Content source:
- Powered by CDC PHGKB Infrastructure