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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Elsevier,
2024-12-01T00:00:00Z.
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LEADER | 00000 am a22000003u 4500 | ||
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001 | doaj_8c4ea74ebc84426ba8b9cc98b2808f4a | ||
042 | |a dc | ||
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 | |
856 | 4 | 1 | |u https://doaj.org/article/8c4ea74ebc84426ba8b9cc98b2808f4a |z Connect to this object online. |