ParMAH Lab - Quantitative Data for Decision-Making

PARTICIPATORY MODELING & ANALYTICS FOR HEALTH
(ParMAH Lab)
LAURA SKRIP, MPH, PhD
ASSOCIATE PROFESSOR, BIOSTATISTICS & EPIDEMIOLOGY
DIRECTOR OF ParMAH LAB, UL SCHOOL OF PUBLIC HEALTH
CO-FOUNDER, Q4D Lab
Our Objectives

We are a team of passionate quantitative scientists whose research addresses epidemiological questions while accounting for social, economic, and political characteristics of our study populations. We also develop mathematical and statistical methods to support other groups in accomplishing their research goals.
Research Objectives of Lab:
To develop and implement mathematical models to address contextually relevant research questions defined by programmatic and community-level stakeholders
To provide a resource hub for quantitative science support for researchers at the University of Liberia and across all health sectors (human, animal, environment) of Liberia
To contribute to development and implementation of institutional best practices for data management and effective sharing of quantitative research products
To investigate approaches to enhancing quantitative research capacity among public health researchers and practitioners in Liberia
Collaborators:
Abhishek Pandey, PhD, Research Scientist (Yale School of Public Health)
Tamba Fayiah, Data Analyst/Biostatistician (PREVAIL)
Elena Bertozzi, Professor of Game Design & Development (Quinnipiac University)
Benjamin M. Althouse, PhD, Principal Research Scientist (Institute for Disease Modeling, Bill & Melinda Gates Foundation)
Opportunities:
Now Hiring!

Research Associate
CURRENT PROJECTS

Research Project Title

Figure It Out:
A mobile application to encourage use of quantitative research findings by frontline health workers

Description

This multi-phase project is currently conducting usability testing of a mobile application prototype. The app (called Figure It Out) is intended to increase awareness of and promote skills-building related to quantitative research utilization through a ‘choose your own path’ scenario-based game approach.

Students

Alvan Coker
Hajah Kenneh
James Sinnatwah, Jr.
Joelyn Zankah

Digital Equity: Achieving MPH Core Competencies for Biostatistics in Liberia

The MPH program is setting high standards for its students in terms of computer-based statistical analyses, data management, and quantitative evidence synthesis from online sources. To ensure that students have an enabling environment to succeed in achieving core competencies, we are researching barriers and facilitators to digital learning among public health students and workers in Liberia.

TBD

Heterogeneity in COVID-19 Vaccination Coverage: Modeling to Inform EPI Campaigns with Limited Access and High Hesitancy

A country-level, county-stratified dynamic compartmental model is under development to investigate how smoothing out the heterogeneous vaccination coverage in Liberia could shorten the epidemic in Liberia and could lead to reduced morbidity and mortality due to COVID-19.

We are eager to have students join our lab as Research Assistants or Research Associates. To learn more about our work or to get involved, please contact Dr. Skrip at
skripla@ul.edu.lr

TBD