Molly Strachan
Biographic Data
| ID | 9064653 |
|---|---|
| NAME | Molly Strachan |
| GIVEN NAMES | Molly |
| FAMILY NAME | Strachan |
| SIGNATURE | STRACHAN M |
| AFFILIATIONS | Johns Hopkins University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Feasibility and acceptability of hepatitis C virus self-testing models among high-risk groups in Nasarawa, Nigeria; Exploratory cross-sectional analysis of an implementation study
Hepatitis C virus (HCV) infection remains a major public health challenge, with significant gaps in diagnosis and treatment in resource-limited settings. Hepatitis C self-testing (HCVST) offers a potential strategy to expand access, particularly in HIV clinical settings. We evaluated feasibility and acceptability of HCVST among high-risk populations in Nasarawa State, Nigeria when provided at antiretroviral (ART) clinics and one-stop shops (OSS) …
Covid-19 in Ghana-Using the health system framework to describe Rise-mitigation strategies for Covid-19 response and recovery in Ghana
Navigating global crises like the Coronavirus Disease 2019 (COVID-19) demands strategic and impactful health interventions. Evaluating these interventions is crucial for fortifying health systems at both national and global scales. This article described and appraised projects carried out under the United States Government-funded, Reaching Impact Saturation and Epidemic Control (RISE) initiative during the pandemic in Ghana, offering insights and…
Use of machine learning in predicting continuity of HIV treatment in selected Nigerian States
Nigeria, with the second-largest HIV epidemic globally, faces challenges in achieving its HIV epidemic control goals by 2030, with interruptions in treatment (IIT) a significant challenge. Machine learning (ML) models can help HIV programs implement targeted interventions to improve the quality of care, develop effective early interventions, and provide insights into optimal resource allocation and program sustainability. This paper aims to ident…
Factors associated with viral load re-suppression after enhanced adherence counseling among people living with HIV with an initial high viral load result in selected Nigerian states
The WHO recommends monitoring viral load (VL) to gauge ART efficacy among People Living with HIV (PLHIV). Low suppression rates persist in low- and middle-income countries due to poor adherence. Enhanced Adherence Counseling (EAC) aims to improve adherence and treatment outcomes. This study, part of the Reaching Impact Saturation and Epidemic Control (RISE) project in Nigeria, analyzes factors affecting viral re-suppression post-EAC. It aims to i…
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Factors associated with viral load re-suppression after enhanced adherence counseling among people living with HIV with an initial high viral load result in selected Nigerian states
The WHO recommends monitoring viral load (VL) to gauge ART efficacy among People Living with HIV (PLHIV). Low suppression rates persist in low- and middle-income countries due to poor adherence. Enhanced Adherence Counseling (EAC) aims to improve adherence and treatment outcomes. This study, part of the Reaching Impact Saturation and Epidemic Control (RISE) project in Nigeria, analyzes factors affecting viral re-suppression post-EAC. It aims to i…
Use of machine learning in predicting continuity of HIV treatment in selected Nigerian States
Nigeria, with the second-largest HIV epidemic globally, faces challenges in achieving its HIV epidemic control goals by 2030, with interruptions in treatment (IIT) a significant challenge. Machine learning (ML) models can help HIV programs implement targeted interventions to improve the quality of care, develop effective early interventions, and provide insights into optimal resource allocation and program sustainability. This paper aims to ident…
Feasibility and acceptability of hepatitis C virus self-testing models among high-risk groups in Nasarawa, Nigeria; Exploratory cross-sectional analysis of an implementation study
Hepatitis C virus (HCV) infection remains a major public health challenge, with significant gaps in diagnosis and treatment in resource-limited settings. Hepatitis C self-testing (HCVST) offers a potential strategy to expand access, particularly in HIV clinical settings. We evaluated feasibility and acceptability of HCVST among high-risk populations in Nasarawa State, Nigeria when provided at antiretroviral (ART) clinics and one-stop shops (OSS) …
Covid-19 in Ghana-Using the health system framework to describe Rise-mitigation strategies for Covid-19 response and recovery in Ghana
Navigating global crises like the Coronavirus Disease 2019 (COVID-19) demands strategic and impactful health interventions. Evaluating these interventions is crucial for fortifying health systems at both national and global scales. This article described and appraised projects carried out under the United States Government-funded, Reaching Impact Saturation and Epidemic Control (RISE) initiative during the pandemic in Ghana, offering insights and…
HIV/AIDS Research and Interventions (3 works) · Family medicine (2 works) · Global Maternal and Child Health (2 works) · Health care (2 works) · HIV, Drug Use, Sexual Risk (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Psychological intervention (2 works) · Public health (2 works) · AdaBoost (1 work)