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Internships in Global Health - Independent Research Projects on COVID-19 and Demography
*Any, - (Outgoing Program)
Program Terms:
Program Terms: Summer
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This program is currently not accepting applications.
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Restrictions: Princeton applicants only
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Dept Offering Program: Global Health and Health Policy Program Type: Internship, Research Project
Language of Instruction: English Language Prerequisite: No
Program Features: Global Health, Health Policy, Public Policy, Research, Summer Degree Level: 1st year u/g students, 2nd year u/g students, 3rd year u/g students
Time Away: Summer Duration of Program: 8 or more weeks
Program Description:
Program Description:
Independent Research Projects on COVID-19 and Demography
COVID-19 Demography Research Internships 

Location: Remote
Number of Positions: 2
Stipend: $1,500
About: The COVID-19 pandemic has left many questions unanswered. The following research projects focus on mortality rate among the elderly and social disparities within countries. The two undergraduate interns would each receive additional support from a PhD student in sociology (specializing in demography).
Intern Responsibilities: There are two possible internship focus areas for a student intern.
FOCUS AREA #1 – Understanding cross-national differences in COVID-19 mortality among the elderly
Part of the variation in COVID-19 mortality across countries has been attributed to differing age distributions, with populations that have an older age structure subject to larger death rates.  Yet, death rates among the elderly, which are universally higher than those among younger people, vary considerably across countries.  The extremely high death rates found among nursing home residents suggest that some of this variation may result from different living arrangements and variation in the frequency of (intergenerational) contacts among the elderly.
The goal of this project is to deepen our understanding of the role of such factors in producing variation in COVID-19 mortality in older populations.  This would involve construction of a data set that contains information on long-term care facilities (e.g., number, size, quality) and such variables as the prevalence of multi-generation households and the frequency of intergenerational contact.
The focus, subject to change as the pandemic evolves, would be on (1) older European countries with a larger number of COVID-19 related deaths (e.g., Italy and Spain), (2) the United States, and (3) countries with a relatively small number of COVID-19 related deaths in the older population despite the lack of strict social distancing policies and the existence of cultural preferences for intergenerational residence (Japan).  The intern would be involved in assembling a relevant literature review and participating in the creation of a harmonized database as described above.
The intern would collaborate with the senior investigators on preliminary data analysis as time permits.
Qualifications: Competency in either R or STATA is required.  Foreign language fluency (e.g., Italian, Spanish, or Japanese) is desirable (but not required) and knowledge of a database language is preferred.
FOCUS AREA #2 – Documenting social disparities in COVID-19 within countries

The news media has highlighted the potential of the COVID-19 pandemic to exacerbate social inequalities in health for many reasons including the financial necessity among low-skilled workers and those with few savings to continue risky jobs during the pandemic; and more crowded residences, dense and segregated neighborhoods, reliance on public transport, poorer access to health care, frequent lack of health insurance, discrimination, and comorbidities such as diabetes, heart disease and obesity among lower SES individuals. New York City has reported higher rates of COVID-19 cases and deaths among African Americans and Latinos than among whites and Asians, and higher rates in zip codes with a large proportion of immigrants and minorities.  Yet, relatively little (high quality) data have been available to study these disparities more systematically.
Part of the reason is that estimates to date suffer from non-random testing for COVID-19 (for the presence of the virus and the presence of antibodies), and death counts due to COVID-19 are incomplete.  In addition, data sources do not typically contain information on standard socioeconomic variables – education, income and occupation. Estimates based on more representative samples of the population are gradually becoming available within and outside the US and it is likely that some will include relevant social information.
The goal of this project is to assemble a database across high income countries with reasonably complete reporting to study disparities among socioeconomic groups, immigrants and racial/ethnic groups where relevant.  One focus would be SES and racial/ethnic/immigrant disparities within the US.
The intern would be involved in assembling a literature review of what’s known to date about these social disparities in COVID-19 within countries and participating in the creation of a harmonized database of number of cases, number of deaths, and population by these social characteristics (and possibly geographic areas, such as cities or states) within selected countries.
Qualifications: Knowledge of a database language is preferred.
New Internships for 2020; no past Princeton interns.

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Dates / Deadlines:
This program is not currently accepting applications. Please consult the sponsoring department's website for application open dates.
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This program is currently not accepting applications.