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Carl A. Latkin

Researcher at Johns Hopkins University

Publications -  844
Citations -  24540

Carl A. Latkin is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 71, co-authored 734 publications receiving 19838 citations. Previous affiliations of Carl A. Latkin include University of London & University of Baltimore.

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The influence of housing on sexual and reproductive health status and service utilization among Filipina migrant domestic workers in Macao (SAR), China: A population survey.

TL;DR: Results indicate that living context is significantly correlated with sexual risk behaviors, SRH status, and service utilization among domestic workers in Macao, highlighting the need to more effectively tailor specific interventions to meet female domestic workers’ needs.
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Evolution of Interdisciplinary Landscapes of HIV/Acquired Immune Deficiency Syndromes Studies from 1983 to 2017: Results from the Global Analysis for Policy in Research (GAPRESEARCH).

TL;DR: A comprehensive global mapping and determine the landscapes of HIV/acquired immune deficiency syndromes (AIDS) research covering the years between 1983 and 2017 is conducted to contribute to the current literature and be a helpful guide for international donors, governments, and academicians.
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Demand and willingness to pay for different treatment and care services among patients with heart diseases in Hanoi, Vietnam

TL;DR: Demand and WTP for home-based services among heart disease patients were moderately low compared with hospital-based ones, and patients who lived in urban areas, were employed, were having higher level of education, and were not covered by health insurance were willing to pay more for services, especially home- based ones.
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Child Desire Among Men and Women Living with HIV/AIDS in the Traditional Culture of Vietnam.

TL;DR: The study highlights the need for interventions on social, cultural barriers, improved accessibility and outcomes of counseling, and better care and treatment services for couples and child affected by HIV/AIDS in Vietnam.
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Deep learning and social network analysis elucidate drivers of HIV transmission in a high-incidence cohort of people who inject drugs

TL;DR: In this article , the authors leveraged network analysis and graph neural networks (GNNs) to uncover factors associated with HIV transmission and identify optimal intervention delivery points in New Delhi, India.