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Young R, Ssekasanvu J, Kagaayi J, Ssekubugu R, Kigozi G, Reynolds SJ, Wawer MJ, Nonyane BAS, Chang LW, Kennedy CE, Paina L, Anglewicz PA, Quinn TC, Serwadda D, Nalugoda F, Grabowski MK. HIV and viremia prevalence in non-migrating members of migrant households in Rakai region, Uganda: A cross-sectional population-based study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.08.23299745. [PMID: 38106065 PMCID: PMC10723567 DOI: 10.1101/2023.12.08.23299745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Introduction In sub-Saharan Africa, migrants are more likely to be HIV seropositive and viremic than non-migrants. However, little is known about HIV prevalence and viremia in non-migrants living in households with in- or out-migration events. We compared HIV outcomes in non-migrating persons in households with and without migration events using data from the Rakai Community Cohort Study (RCCS), an open population-based cohort in Uganda. Methods We analyzed RCCS survey data from one survey round collected between August 2016 and May 2018 from non-migrating participants aged 15-49. Migrant households were classified as those reporting ≥1 member moving into or out of the household since the prior survey. A validated rapid test algorithm determined HIV serostatus. HIV viremia was defined as >1,000 copies/mL. Modified Poisson regression was used to estimate associations between household migration and HIV outcomes, with results reported as adjusted prevalence ratios (adjPR) with 95% confidence intervals (95%CI). Analyses were stratified by gender, direction of migration (into/out of the household), and relationship between non-migrants and migrants (e.g., spouse). Results There were 14,599 non-migrants (7,654, 52% women) identified in 9,299 households. 4,415 (30%) lived in a household with ≥1 recent migrant; of these, 972(22%) had migrant spouses, 1,102(25%) migrant children, and 875(20%) migrant siblings. Overall, HIV prevalence and viremia did not differ between non-migrants in migrant and non-migrant households. However, in stratified analyses, non-migrant women with migrant spouses were significantly more likely to be HIV seropositive compared to non-migrant women with non-migrant spouses (adjPR:1.44, 95%CI:1.21-1.71). Conversely, non-migrant mothers living with HIV who had migrant children were less likely to be viremic (adjPR:0.34, 95%CI:0.13-0.86). Among non-migrant men living with HIV, spousal migration was associated with a non-significant increased risk of viremia (adjPR:1.37, 95%CI:0.94-1.99). Associations did not typically differ for migration into or out of the household. Conclusions Household migration was associated with HIV outcomes for certain non-migrants, suggesting that the context of household migration influences the observed association with HIV outcomes. In particular, non-migrating women with migrating spouses were more likely to have substantially higher HIV burden. Non-migrants with migrant spouses may benefit from additional support when accessing HIV services.
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Hillis SD, Unwin HJT, Chen Y, Cluver L, Sherr L, Goldman PS, Ratmann O, Donnelly CA, Bhatt S, Villaveces A, Butchart A, Bachman G, Rawlings L, Green P, Nelson CA, Flaxman S. Global minimum estimates of children affected by COVID-19-associated orphanhood and deaths of caregivers: a modelling study. Lancet 2021; 398:391-402. [PMID: 34298000 PMCID: PMC8293949 DOI: 10.1016/s0140-6736(21)01253-8] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/14/2021] [Accepted: 05/18/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND The COVID-19 pandemic priorities have focused on prevention, detection, and response. Beyond morbidity and mortality, pandemics carry secondary impacts, such as children orphaned or bereft of their caregivers. Such children often face adverse consequences, including poverty, abuse, and institutionalisation. We provide estimates for the magnitude of this problem resulting from COVID-19 and describe the need for resource allocation. METHODS We used mortality and fertility data to model minimum estimates and rates of COVID-19-associated deaths of primary or secondary caregivers for children younger than 18 years in 21 countries. We considered parents and custodial grandparents as primary caregivers, and co-residing grandparents or older kin (aged 60-84 years) as secondary caregivers. To avoid overcounting, we adjusted for possible clustering of deaths using an estimated secondary attack rate and age-specific infection-fatality ratios for SARS-CoV-2. We used these estimates to model global extrapolations for the number of children who have experienced COVID-19-associated deaths of primary and secondary caregivers. FINDINGS Globally, from March 1, 2020, to April 30, 2021, we estimate 1 134 000 children (95% credible interval 884 000-1 185 000) experienced the death of primary caregivers, including at least one parent or custodial grandparent. 1 562 000 children (1 299 000-1 683 000) experienced the death of at least one primary or secondary caregiver. Countries in our study set with primary caregiver death rates of at least one per 1000 children included Peru (10·2 per 1000 children), South Africa (5·1), Mexico (3·5), Brazil (2·4), Colombia (2·3), Iran (1·7), the USA (1·5), Argentina (1·1), and Russia (1·0). Numbers of children orphaned exceeded numbers of deaths among those aged 15-50 years. Between two and five times more children had deceased fathers than deceased mothers. INTERPRETATION Orphanhood and caregiver deaths are a hidden pandemic resulting from COVID-19-associated deaths. Accelerating equitable vaccine delivery is key to prevention. Psychosocial and economic support can help families to nurture children bereft of caregivers and help to ensure that institutionalisation is avoided. These data show the need for an additional pillar of our response: prevent, detect, respond, and care for children. FUNDING UK Research and Innovation (Global Challenges Research Fund, Engineering and Physical Sciences Research Council, Medical Research Council), UK National Institute for Health Research, US National Institutes of Health, and Imperial College London.
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Affiliation(s)
- Susan D Hillis
- CDC COVID-19 Response Team, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - H Juliette T Unwin
- MRC Centre for Global Infectious Disease Analysis and the Abdul Latif Jameel Institute for Disease and Emergency Analytics, School of Public Health, Imperial College, London, UK
| | - Yu Chen
- Department of Mathematics, Imperial College, London, UK
| | - Lucie Cluver
- Department of Social Policy and Intervention, University of Oxford, Oxford, UK; Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Lorraine Sherr
- Institute of Global Health, University College London, London, UK
| | | | | | - Christl A Donnelly
- MRC Centre for Global Infectious Disease Analysis and the Abdul Latif Jameel Institute for Disease and Emergency Analytics, School of Public Health, Imperial College, London, UK; Department of Statistics, University of Oxford, Oxford, UK
| | - Samir Bhatt
- MRC Centre for Global Infectious Disease Analysis and the Abdul Latif Jameel Institute for Disease and Emergency Analytics, School of Public Health, Imperial College, London, UK; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Andrés Villaveces
- CDC COVID-19 Response Team, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Gretchen Bachman
- Office of Global HIV/AIDS, US Agency for International Development, Washington, DC, USA
| | | | | | - Charles A Nelson
- Department of Pediatrics, Harvard Medical School and Boston Children's Hospital, Boston, MA, USA
| | - Seth Flaxman
- Department of Mathematics, Imperial College, London, UK; Department of Computer Science, University of Oxford, Oxford, UK
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