2021-22 "Identifying Effective Strategies for Malaria Eradication"
The Stanford King Center on Global Development’s Academic Year Part-Time Research Assistant Program connects King Center faculty affiliates and affiliated researchers with undergraduate and master's students committed to providing research support for up to 15 hours per week during fall, winter, and spring quarters.
Students have the opportunity to engage in world-class research and have real-world impact. Undergraduate student research assistants earn $17.50 per hour and master's student research assistants earn $25 per hour. Research assistants can work a maximum of 15 hours per week. Students must be enrolled full-time to participate.
RESEARCH PROJECT DESCRIPTION:
In 2019, the Lancet Commission on malaria eradication called for a global effort to eradicate malaria worldwide by 2050, and several countries in southern Africa have set goals to eliminate malaria locally by 2030. In settings approaching malaria elimination, transmission is low, and cases cluster in geographic “hot spots”. This study investigates the effectiveness of public health interventions delivered in the neighborhood around malaria cases. These interventions include malaria testing, antimalarial treatment, and indoor residual spraying with insecticide. The study will analyze data from three randomized trials in Namibia, Eswatini, and Zambia. The Research Assistant will support spatial data processing; contribute to statistical analyses; make maps, figures, and tables; and conduct literature reviews and will have an opportunity to participate in peer-reviewed manuscripts.
Research mentor: Jade Benjamin-Chung (Assistant Professor, Epidemiology and Population Health, School of Medicine)
WHAT YOU WILL DO:
- Weekly meetings with the research mentor
- Process spatial and epidemiologic datasets
- Support statistical analyses
- Create interactive maps
- Create figures and tables
- Conduct literature reviews
- Stanford undergraduate and master's students in good academic standing are eligible to apply
- All majors are welcome
- Interest in a career involving Population Health, Data Science, Computer Science, Statistics, or a related field
- A working knowledge of R, Git, and Github, or at minimum, a willingness to learn these skills
- Strong verbal and written communication skills
- Strong organizational skills
- Ability to follow both detailed and open-ended instructions
Time Commitment:
10-15 hours per week during the academic year
To Apply:
Along with the application, applicants are asked to submit a cover letter, resume or CV, and a Stanford transcript (if an incoming freshman, applicants need not submit a transcript for fall quarter applications).
