{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Owek CJ"],"funding":["World Health Organization","Bill and Melinda Gates Foundation","Wellcome Trust","Gates Foundation"],"pagination":["e015247"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11552008"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(11)"],"pubmed_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"],"journal":["BMJ global health"],"pubmed_title":["Lessons learned from COVID-19 modelling efforts for policy decision-making in lower- and middle-income countries."],"pmcid":["PMC11552008"],"funding_grant_id":["001","INV-034291"],"pubmed_authors":["Cw Hutubessy R","Owek CJ","Guleid FH","Maluni J","Jepkosgei J","Were VO","Sim SY","Oliwa J","Nzinga J","Hagedorn BL"],"additional_accession":[]},"is_claimable":false,"name":"Lessons learned from COVID-19 modelling efforts for policy decision-making in lower- and middle-income countries.","description":"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","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Nov","modification":"2026-06-03T18:58:10.891Z","creation":"2025-04-04T00:33:34.351Z"},"accession":"S-EPMC11552008","cross_references":{"pubmed":["39521455"],"doi":["10.1136/bmjgh-2024-015247"]}}