Open-sourced modeling and simulating tools for decision-makers during an emerging pandemic or epidemic - Systematic evaluation of utility and usability: A scoping review update

Introduction: The COVID-19 pandemic had devastating effects on health systems globally. Emerging infectious diseases and pandemics will persist as a global health threat and preparedness for an evidence based response becomes challenging for decision makers. Epidemiological modeling can and has supp...

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Main Authors: Rebecca Sophia Lais (Author), Julia Fitzner (Author), Yeon-Kyeng Lee (Author), Verena Struckmann (Author)
Format: Book
Published: Elsevier, 2024-12-01T00:00:00Z.
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100 1 0 |a Rebecca Sophia Lais  |e author 
700 1 0 |a Julia Fitzner  |e author 
700 1 0 |a Yeon-Kyeng Lee  |e author 
700 1 0 |a Verena Struckmann  |e author 
245 0 0 |a Open-sourced modeling and simulating tools for decision-makers during an emerging pandemic or epidemic - Systematic evaluation of utility and usability: A scoping review update 
260 |b Elsevier,   |c 2024-12-01T00:00:00Z. 
500 |a 2772-6533 
500 |a 10.1016/j.dialog.2024.100189 
520 |a Introduction: The COVID-19 pandemic had devastating effects on health systems globally. Emerging infectious diseases and pandemics will persist as a global health threat and preparedness for an evidence based response becomes challenging for decision makers. Epidemiological modeling can and has supported decision-making throughout pandemics. This study provides an update of the review "Publicly available software tools for decision-makers during an emergent epidemic-Systematic evaluation of utility and usability"1. Research question: What epidemiological modeling tools for decision-makers are open-sourced available for the usage in emerging epidemics or pandemics and how useful and user-friendly are these tools? Methods: A scoping review was conducted. We identified relevant studies through a search of peer-reviewed (Medline Ovid, Embase Ovid, PubMed, Cochrane) and gray literature databases, search engines such as Google, searches through stakeholder websites as well as expert consultations. Results: Of the 66 identified epidemiological modeling tools, 29 were included and qualitatively assessed using five-point-rating scales. The tools showed a good baseline of user-friendliness with variations in assessed components, features and utility. Room for improvement was found, specifically the capability to incorporate external data sources, detailed population descriptions, and geographic resolution. Discussion: Development efforts should prioritize clear communication of uncertainties and expert review processes. Trainings for specific tools should be considered. Conclusion: Tool usage can enhance decision-making when adapted to the user's needs and purpose. They should be consulted critically rather than followed blindly. 
546 |a EN 
690 |a Decision support 
690 |a Modeling 
690 |a Tool evaluation 
690 |a Outbreak response 
690 |a Pandemic 
690 |a Epidemic 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Dialogues in Health, Vol 5, Iss , Pp 100189- (2024) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S277265332400025X 
787 0 |n https://doaj.org/toc/2772-6533 
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