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Miss Rachel Cassidy

Res - MPhil/PhD - Public Health & Policy

United Kingdom

Rachel Cassidy is an honorary Research Fellow in Health Systems Modelling. She is leading the systems thinking workstream on the COSMIC (Using Computer Modelling to Optimise the Design of Health System Programmes) Project. The work stream focus is on using systems thinking approaches (causal loop diagrams, system dynamics modelling) to further understanding on pathways to impact for results-based financing programmes and design recommendations for future implementation.

Rachel holds a MSc in Epidemiology and a MSc in Bioinformatics and Theoretical Systems Biology from Imperial College, London. Rachel successfully defended her PhD thesis in March 2023 at LSHTM. The thesis describes a body of work where Rachel used causal loop diagrams and system dynamics modelling to investigate health system strengthening in low-income settings, with aim to optimise the effect of interventions that target maternal and child health service delivery.

Affiliations

Department of Global Health and Development
Faculty of Public Health and Policy

Centres

Antimicrobial Resistance Centre

Research

Research Area
Maternal health
Child health
Disease and Health Conditions
HIV/AIDS
Non-communicable diseases
Country
Tanzania
Zambia
Ethiopia
Kenya
Italy
United States of America

Selected Publications

How to do (or not to do)…using causal loop diagrams for health system research in low and middle-income settings.
CASSIDY, R; BORGHI, J; Semwanga, AR; Binyaruka, P; SINGH, NS; Blanchet, K;
2022
Health policy and planning
Understanding the maternal and child health system response to payment for performance in Tanzania using a causal loop diagram approach.
CASSIDY, R; Tomoaia-Cotisel, A; Semwanga, AR; Binyaruka, P; Chalabi, Z; Blanchet, K; SINGH, NS; Maiba, J; BORGHI, J;
2021
Social science & medicine
A realist review to assess for whom, under what conditions and how pay for performance programmes work in low- and middle-income countries.
SINGH, NS; Kovacs, RJ; CASSIDY, R; Kristensen, SR; BORGHI, J; Brown, GW;
2020
Social Science & Medicine
Mathematical modelling for health systems research: a systematic review of system dynamics and agent-based models.
CASSIDY, R; SINGH, NS; Schiratti, P-R; Semwanga, A; Binyaruka, P; Sachingongu, N; Chama-Chiliba, CM; Chalabi, Z; BORGHI, J; Blanchet, K;
2019
BMC Health Services Research
Mapping the Current and Future Noncommunicable Disease Burden in Kenya by Human Immunodeficiency Virus Status: A Modeling Study.
Smit, M; Perez-Guzman, PN; Mutai, KK; CASSIDY, R; Kibachio, J; Kilonzo, N; Hallett, TB;
2019
Clinical Infectious Diseases
Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life
Belgrave, D; CASSIDY, R; Stamate, D; Custovic, A; Fleming, L; Bush, A; Saglani, S;
2018
2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)
Projections of non-communicable disease and health care costs among HIV-positive persons in Italy and the U.S.A.: A modelling study.
Smit, M; CASSIDY, R; Cozzi-Lepri, A; Quiros-Roldan, E; Girardi, E; Mammone, A; Antinori, A; Saracino, A; Bai, F; Rusconi, S; Magnani, G; Castelli, F; Hsue, P; D'Arminio Monforte, A; Hallett, TB;
2017
PloS one
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