2018 iGrant Awardee and Economics PHD Candidate Amzad Hossain presents his research entitled "Impact of a Community-based Intervention on Heath Outcomes: Evidence from a Natural Experiment in Bangladesh".
GIDI is pleased to announce our 2019-2020 iGrant awardees.
The Ethics of Harm Reduction.
Jarrett Zigon PhD, William and Linda Porterfield Chair of Bioethics and Professor of Anthropology
I propose to spend the summer writing an article in which I explore the ethics of harm reduction, which is the most effective prevention program of infectious diseases among active injecting drug users. This article will argue that nonjudgement, which is the fundamental principle of harm reduction philosophy, is the basis for any ethical practice. As such, harm reduction as a public health initiative is perhaps the most visible example of ethics in practice.
Reducing nosocomial infections and spread of antimicrobial resistance in intensive care units in low/middle income settings: implementing effective infection control.
Marcel E. Durieux, MD PhD, Emeritus Professor, School of Medicine: Anesthesiology; Jean Paul Mvukiyehe, MD School of Medicine, University of Rwanda; Gregory R. Madden, MD, Fellow in Infectious Disease Medicine, School of Medicine, University of Virginia; Paulin Banguti, MD, Chair Departments of Anesthesiology and Emergency Medicine, University of Rwanda.
Nosocomial intensive care unit (ICU) infections have major impact on morbidity and mortality in low/middle-income countries (LMICs). In high-income countries (HIC), training personnel in basic infection prevention and control practices successfully reduces ICU-acquired infections, such as catheter-associated bloodstream infections. We hypothesize that ICU infections and associated adverse outcomes can be reduced in LMICs using similar interventions. We will investigate the feasibility of implementing a comprehensive ICU infection control training bundle and its effects on provider behavior at a representative LMIC ICU in Kigali (Rwanda).
Post-chemotherapy infections in Uganda: Microbiology, epidemiology and outcomes.
Gulleen, Elizabeth MD. Fellow of Infectious Diseases Medicine; Omoding Abrahams, MBChB, Mmed, Department of Medical Oncology, Uganda Cancer Institute, Kampala, Uganda; Jacinta Ambaru, MBChB, Medical Officer and Medical Resident, Mbarara University of Science and Technology, Mbarara, Uganda
Cancer is an enormous clinical burden in sub-Saharan Africa (SSA) and as cancer treatment becomes more available, post-chemotherapy infections are an increasing cause of morbidity and mortality. Little is known about the microbiology, risk factors, and outcomes of post-chemotherapy infection in SSA where HIV and malaria are endemic and community-acquired sepsis is often caused by Mycobacterium tuberculosis (TB) and Salmonella bacteremia. In order to determine the risk-factors and microbiology of post-chemotherapy febrile illness (PCFI) we will conduct a prospective cohort study including a chart review and infectious tests (blood cultures, malaria and TB testing, and multiplex quantitative PCR of blood samples) in patients who have received chemotherapy, develop fever, and are admitted to the Uganda Cancer Institute (UCI) in Kampala, Uganda or the Oncology Ward at Mbarara University of Science and Technology (MUST).
Development of Rapid Methods to Determine Host Susceptibility to Colonization or Infection to Antimicrobial Resistant Pathogens from Stool.
John Moore, Ph.D. Candidate, Dept. of Electrical Engineering, School of Engineering & Applied Science
We aim to validate the use of a stool coculture system to validate host susceptibility to antimicrobial resistant pathogens from host stool following antibiotic exposure. A rapid method to determine changes in pathogen viability using dielectrophoresis will be used to determine resistance to colonization in as little as 4 hours.
Poverty, Environment, and Neglected Tropical Diseases in Senegal: A Computational Sustainability Study.
Lee, Kamwoo PhD candidate in Systems and Information Engineering
This project aims to map NTD distribution in Senegal and West African countries through satellite remote sensing so that we can identify vulnerable populations both regionally and socially. This research proposes a method that combines two engineering techniques ― machine learning and simulation. I believe this method is an effective and efficient way to tackle the biggest obstacles to reaching the goal – lack of data and complexity of the diseases.
Estimating and Testing Dynamic Diarrhea Effects on Children Growth with Statistical Models.
Lin, Ye Ph.D. candidate, Department of Statistics, College and Graduate School of Arts and Sciences
Scientific research has shown that diarrhea in early childhood leads to growth shortfalls. In this project, we propose a dynamic nonparametric model to estimate how the effects of diarrhea on childhood growth change over time and the length of this effect period. Carrying out the proposed research makes a significant contribution to the understanding of the dynamic effects of diarrhea, to the development of timely medical intervention, and to the improvement of the health of children at early ages globally, resulting in better social-economical status during their adulthoods.