Lessons learned from COVID-19 modelling efforts for policy decision-making in lower- and middle-income countries.

ABSTRACT:

Introduction

The COVID-19 pandemic had devastating health and socioeconomic effects, partly due to policy decisions to mitigate them. Little evidence exists of approaches that guided decisions in settings with limited pre-pandemic modelling capacity. We thus sought to identify knowledge translation mechanisms, enabling factors and structures needed to effectively translate modelled evidence into policy decisions.

Methods

We used convergent mixed methods in a participatory action approach, with quantitative data from a survey and qualitative data from a scoping review, in-depth interviews and workshop notes. Participants included researchers and policy actors involved in COVID-19 evidence generation and decision-making. They were mostly from lower- and middle-income countries

SUBMITTER: Owek CJ 

PROVIDER: S-EPMC11552008 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature