Meibin Chen
Biographic Data
| ID | 6333496 |
|---|---|
| NAME | Meibin Chen |
| GIVEN NAMES | Meibin |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN M |
| AFFILIATIONS | Department of Civil and Systems Engineering, The Johns Hopkins University , 3400 North Charles Street, Baltimore, MD 21218 |
| ORCID | 0000-0001-9754-7421 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Implementation pathways of a health services delivery redesign model to improve maternal and newborn outcomes in Kenya
Persistent high maternal and neonatal mortality rates in low- and middle-income countries (LMICs) call for system-level improvements in healthcare services. However, implementing such health system strengthening interventions presents challenges due to the complex, context-specific interactions inherent in these settings. This paper presents implementation pathways of a service delivery redesign (SDR) model in Kakamega County, Kenya, offering ins…
Integrating systems and implementation science in modeling and evaluating complex health interventions
Intervention evaluation is critical for determining the value of health interventions; however, real-world implementation frequently falls short of achieving anticipated large-scale impacts. This evidence-to-practice gap often arises from challenges in capturing the complexity inherent in intervention implementation. This complexity may stem from the intervention itself, the dynamic and interrelated processes of dissemination, implementation, and…
A New Strategy to Quantitatively Identify Hot-Spot Areas in Growth of New HIV Infections for Targeted Interventions
Background: Previous geographic studies of HIV infection have usually used prevalence data, which cannot indicate the hot-spot areas of current transmission. To develop quantitative analytic measures for accurately identifying hot-spot areas in growth of new HIV infection, we investigated the geographic distribution features of recent HIV infection and long-term HIV infection using data from a whole-population physical examination in four key cou…
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A New Strategy to Quantitatively Identify Hot-Spot Areas in Growth of New HIV Infections for Targeted Interventions
Background: Previous geographic studies of HIV infection have usually used prevalence data, which cannot indicate the hot-spot areas of current transmission. To develop quantitative analytic measures for accurately identifying hot-spot areas in growth of new HIV infection, we investigated the geographic distribution features of recent HIV infection and long-term HIV infection using data from a whole-population physical examination in four key cou…
Implementation pathways of a health services delivery redesign model to improve maternal and newborn outcomes in Kenya
Persistent high maternal and neonatal mortality rates in low- and middle-income countries (LMICs) call for system-level improvements in healthcare services. However, implementing such health system strengthening interventions presents challenges due to the complex, context-specific interactions inherent in these settings. This paper presents implementation pathways of a service delivery redesign (SDR) model in Kakamega County, Kenya, offering ins…
Integrating systems and implementation science in modeling and evaluating complex health interventions
Intervention evaluation is critical for determining the value of health interventions; however, real-world implementation frequently falls short of achieving anticipated large-scale impacts. This evidence-to-practice gap often arises from challenges in capturing the complexity inherent in intervention implementation. This complexity may stem from the intervention itself, the dynamic and interrelated processes of dissemination, implementation, and…
Global Maternal and Child Health (2 works) · Health Policy Implementation Science (2 works) · Psychological intervention (2 works) · Service delivery framework (2 works) · Cartography (1 work) · Causal loop diagram (1 work) · Complex adaptive system (1 work) · Computer Science (1 work) · Conceptual framework (1 work) · Data-Driven Disease Surveillance (1 work)