Building Capacity for COVID-19 Surveillance: A Statistics Course for Health Officials in Seven Low- and Middle-Income Countries

During the COVID-19 pandemic, a group of health program implementors and research analysts across seven low- and middle-income countries (LMICs) alongside Boston-based collaborators convened to implement data-driven approaches for public health response. An intensive statistics and data science trai...

Full description

Saved in:
Bibliographic Details
Published in:Journal of statistics and data science education 2024-09, Vol.32 (3), p.315-323
Main Authors: Fulcher, Isabel R., Fejfar, Donald, Kulikowski, Nichole, Mugunga, Jean-Claude, Law, Michael, Hedt-Gauthier, Bethany
Format: Article
Language:English
Subjects:
Capacity building
COVID-19
COVID-19 diagnostic tests
Data science
Global health
Health services
Health surveillance
Information systems
Low income groups
Medical research
Online instruction
Pandemics
Public health
Science education
Statistical methods
Surveillance
Teaching
Time series
Time series modeling
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:During the COVID-19 pandemic, a group of health program implementors and research analysts across seven low- and middle-income countries (LMICs) alongside Boston-based collaborators convened to implement data-driven approaches for public health response. An intensive statistics and data science training short course was developed to ensure that in-country researchers could implement the necessary statistical methods for COVID-19 surveillance. The main goal of the course was to enable interpretation of findings from time series analyses and flag potential data issues. This manuscript summarizes our experience teaching this course, including a detailed course overview, participant feedback, and thoughts on how targeted, online courses can be used to support statistical capacity building in LMICs.
ISSN:2693-9169
2693-9169
DOI:10.1080/26939169.2024.2315936