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Guidelines on reporting and assessing dynamic mathematical models of infectious diseases: a scoping review

Mathematical models are valuable tools for guiding public health policy decisions to combat the spread of infectious diseases. Nevertheless, a lack of appropriate quality assessment tools and reporting guidelines hinders the comprehensibility, transparency, and credibility of infectious disease mode...

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Main Authors: Chaturvedi, Madhav (Author) , Bartz, Antonia (Author) , Denkinger, Claudia M. (Author) , Klett-Tammen, Carolina (Author) , Kretzschmar, Mirjam (Author) , Kuhlmann, Alexander (Author) , Lange, Berit (Author) , Marx, Florian M. (Author) , Mikolajczyk, Rafael (Author) , Monsef, Ina (Author) , Nguyen, Hoa Thi (Author) , Suer, Janik (Author) , Skoetz, Nicole (Author) , Jaeger, Veronika K. (Author) , Karch, André (Author)
Format: Article (Journal)
Language:English
Published: 2026
In: BMC infectious diseases
Year: 2026, Volume: 26, Pages: 1-13
ISSN:1471-2334
DOI:10.1186/s12879-025-12211-8
Online Access:Resolving-System, kostenfrei: https://doi.org/10.1186/s12879-025-12211-8
Resolving-System, kostenfrei: https://doi.org/10.25673/122188
Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12879-025-12211-8
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Author Notes:$hMadhav Chaturvedi, Antonia Bartz, Claudia M. Denkinger, Carolina Klett-Tammen, Mirjam Kretzschmar, Alexander Kuhlmann, Berit Lange, Florian M. Marx, Rafael Mikolajczyk, Ina Monsef, Hoa Thi Nguyen, Janik Suer, Nicole Skoetz, Veronika K. Jaeger and André Karch
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Summary:Mathematical models are valuable tools for guiding public health policy decisions to combat the spread of infectious diseases. Nevertheless, a lack of appropriate quality assessment tools and reporting guidelines hinders the comprehensibility, transparency, and credibility of infectious disease modelling studies and the ability to assess their quality. In a first step towards addressing the need for reporting guidelines and quality assessment tools specific to infectious disease modelling, this scoping review identified common themes in existing reporting and quality assessment guidance for infectious disease modelling studies and adjacent fields.
Item Description:Veröffentlicht: 31 December 2025
Gesehen am 17.04.2026
Physical Description:Online Resource
ISSN:1471-2334
DOI:10.1186/s12879-025-12211-8

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