The Potential Epidemiological Impact of Coronavirus Disease 2019 (COVID-19) on the Human Immunodeficiency Virus (HIV) Epidemic and the Cost-effectiveness of Linked, Opt-out HIV Testing: A Modeling Study in 6 US Cities is a research paper published in Clinical Infectious Diseases (2020). On theSindex it has a DataRank of 0.598. It has been cited 53 times.
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Base Score Contribution
0.598
From this paper's citation signal
Citation Network Contribution
0
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This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health, National Institutes on Drug Abuse
Grant: R01-DA041747
Gilead Sciences
Grant: R01 DA049644
Gilead Sciences
Grant: R37 DA019829
NIDA NIH HHS
Grant: R01 DA041747
National Institute on Drug Abuse
National Institutes of Health
Centers for Medicare and Medicaid Services
Pew Charitable Trust
Cigna Foundation
New York City Department of Health and Mental Hygiene
Arnold Ventures
Centers of Disease Control and Prevention
National Institutes of Health, National Institutes on Drug Abuse
MeSH Terms
Keywords
Additional file 1 of Evaluation of the impact of COVID-19 in people coinfected with HIV and/or tuberculosis in low-income countries: study protocol for mixed methods research in Burkina Faso
Additional file 1 of Evaluation of the impact of COVID-19 in people coinfected with HIV and/or tuberculosis in low-income countries: study protocol for mixed methods research in Burkina Faso
Additional file 2 of Evaluation of the impact of COVID-19 in people coinfected with HIV and/or tuberculosis in low-income countries: study protocol for mixed methods research in Burkina Faso
Additional file 2 of Evaluation of the impact of COVID-19 in people coinfected with HIV and/or tuberculosis in low-income countries: study protocol for mixed methods research in Burkina Faso
Additional file 3 of Evaluation of the impact of COVID-19 in people coinfected with HIV and/or tuberculosis in low-income countries: study protocol for mixed methods research in Burkina Faso
Additional file 3 of Evaluation of the impact of COVID-19 in people coinfected with HIV and/or tuberculosis in low-income countries: study protocol for mixed methods research in Burkina Faso
Additional file 1 of New sexually transmitted HIV infections from 2016 to 2050 in Guangdong Province, China: a study based on a dynamic compartmental model
Additional file 1 of New sexually transmitted HIV infections from 2016 to 2050 in Guangdong Province, China: a study based on a dynamic compartmental model