MODELS: a six-step framework for developing an infectious disease model

Since the COVID-19 pandemic began, a plethora of modeling studies related to COVID-19 have been released. While some models stand out due to their innovative approaches, others are flawed in their methodology. To assist novices, frontline healthcare workers, and public health policymakers in navigat...
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Autor*in:	Rui, Jia [verfasserIn] Li, Kangguo [verfasserIn] Wei, Hongjie [verfasserIn] Guo, Xiaohao [verfasserIn] Zhao, Zeyu [verfasserIn] Wang, Yao [verfasserIn] Song, Wentao [verfasserIn] Abudunaibi, Buasiyamu [verfasserIn] Chen, Tianmu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Epidemic models Model construction MODELS framework

Anmerkung:	© The Author(s) 2024

Übergeordnetes Werk:	Enthalten in: Infectious diseases of poverty - BioMed Central, 2012, 13(2024), 1 vom: 17. Apr.
Übergeordnetes Werk:	volume:13 ; year:2024 ; number:1 ; day:17 ; month:04

Links:	Volltext

DOI / URN:	10.1186/s40249-024-01195-3

Katalog-ID:	SPR055563376

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spelling	10.1186/s40249-024-01195-3 doi (DE-627)SPR055563376 (SPR)s40249-024-01195-3-e DE-627 ger DE-627 rakwb eng 610 VZ Rui, Jia verfasserin aut MODELS: a six-step framework for developing an infectious disease model 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Since the COVID-19 pandemic began, a plethora of modeling studies related to COVID-19 have been released. While some models stand out due to their innovative approaches, others are flawed in their methodology. To assist novices, frontline healthcare workers, and public health policymakers in navigating the complex landscape of these models, we introduced a structured framework named MODELS. This framework is designed to detail the essential steps and considerations for creating a dependable epidemic model, offering direction to researchers engaged in epidemic modeling endeavors. Graphical Abstract Epidemic models (dpeaa)DE-He213 Model construction (dpeaa)DE-He213 MODELS framework (dpeaa)DE-He213 Li, Kangguo verfasserin aut Wei, Hongjie verfasserin aut Guo, Xiaohao verfasserin aut Zhao, Zeyu verfasserin aut Wang, Yao verfasserin aut Song, Wentao verfasserin aut Abudunaibi, Buasiyamu verfasserin aut Chen, Tianmu verfasserin (orcid)0000-0003-0710-5086 aut Enthalten in Infectious diseases of poverty BioMed Central, 2012 13(2024), 1 vom: 17. Apr. (DE-627)72939476X (DE-600)2689396-4 2049-9957 nnns volume:13 year:2024 number:1 day:17 month:04 https://dx.doi.org/10.1186/s40249-024-01195-3 X:VERLAG 0 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2024 1 17 04
allfields_unstemmed	10.1186/s40249-024-01195-3 doi (DE-627)SPR055563376 (SPR)s40249-024-01195-3-e DE-627 ger DE-627 rakwb eng 610 VZ Rui, Jia verfasserin aut MODELS: a six-step framework for developing an infectious disease model 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Since the COVID-19 pandemic began, a plethora of modeling studies related to COVID-19 have been released. While some models stand out due to their innovative approaches, others are flawed in their methodology. To assist novices, frontline healthcare workers, and public health policymakers in navigating the complex landscape of these models, we introduced a structured framework named MODELS. This framework is designed to detail the essential steps and considerations for creating a dependable epidemic model, offering direction to researchers engaged in epidemic modeling endeavors. Graphical Abstract Epidemic models (dpeaa)DE-He213 Model construction (dpeaa)DE-He213 MODELS framework (dpeaa)DE-He213 Li, Kangguo verfasserin aut Wei, Hongjie verfasserin aut Guo, Xiaohao verfasserin aut Zhao, Zeyu verfasserin aut Wang, Yao verfasserin aut Song, Wentao verfasserin aut Abudunaibi, Buasiyamu verfasserin aut Chen, Tianmu verfasserin (orcid)0000-0003-0710-5086 aut Enthalten in Infectious diseases of poverty BioMed Central, 2012 13(2024), 1 vom: 17. Apr. (DE-627)72939476X (DE-600)2689396-4 2049-9957 nnns volume:13 year:2024 number:1 day:17 month:04 https://dx.doi.org/10.1186/s40249-024-01195-3 X:VERLAG 0 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2024 1 17 04
allfieldsGer	10.1186/s40249-024-01195-3 doi (DE-627)SPR055563376 (SPR)s40249-024-01195-3-e DE-627 ger DE-627 rakwb eng 610 VZ Rui, Jia verfasserin aut MODELS: a six-step framework for developing an infectious disease model 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Since the COVID-19 pandemic began, a plethora of modeling studies related to COVID-19 have been released. While some models stand out due to their innovative approaches, others are flawed in their methodology. To assist novices, frontline healthcare workers, and public health policymakers in navigating the complex landscape of these models, we introduced a structured framework named MODELS. This framework is designed to detail the essential steps and considerations for creating a dependable epidemic model, offering direction to researchers engaged in epidemic modeling endeavors. Graphical Abstract Epidemic models (dpeaa)DE-He213 Model construction (dpeaa)DE-He213 MODELS framework (dpeaa)DE-He213 Li, Kangguo verfasserin aut Wei, Hongjie verfasserin aut Guo, Xiaohao verfasserin aut Zhao, Zeyu verfasserin aut Wang, Yao verfasserin aut Song, Wentao verfasserin aut Abudunaibi, Buasiyamu verfasserin aut Chen, Tianmu verfasserin (orcid)0000-0003-0710-5086 aut Enthalten in Infectious diseases of poverty BioMed Central, 2012 13(2024), 1 vom: 17. Apr. (DE-627)72939476X (DE-600)2689396-4 2049-9957 nnns volume:13 year:2024 number:1 day:17 month:04 https://dx.doi.org/10.1186/s40249-024-01195-3 X:VERLAG 0 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2024 1 17 04
allfieldsSound	10.1186/s40249-024-01195-3 doi (DE-627)SPR055563376 (SPR)s40249-024-01195-3-e DE-627 ger DE-627 rakwb eng 610 VZ Rui, Jia verfasserin aut MODELS: a six-step framework for developing an infectious disease model 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Since the COVID-19 pandemic began, a plethora of modeling studies related to COVID-19 have been released. While some models stand out due to their innovative approaches, others are flawed in their methodology. To assist novices, frontline healthcare workers, and public health policymakers in navigating the complex landscape of these models, we introduced a structured framework named MODELS. This framework is designed to detail the essential steps and considerations for creating a dependable epidemic model, offering direction to researchers engaged in epidemic modeling endeavors. Graphical Abstract Epidemic models (dpeaa)DE-He213 Model construction (dpeaa)DE-He213 MODELS framework (dpeaa)DE-He213 Li, Kangguo verfasserin aut Wei, Hongjie verfasserin aut Guo, Xiaohao verfasserin aut Zhao, Zeyu verfasserin aut Wang, Yao verfasserin aut Song, Wentao verfasserin aut Abudunaibi, Buasiyamu verfasserin aut Chen, Tianmu verfasserin (orcid)0000-0003-0710-5086 aut Enthalten in Infectious diseases of poverty BioMed Central, 2012 13(2024), 1 vom: 17. Apr. (DE-627)72939476X (DE-600)2689396-4 2049-9957 nnns volume:13 year:2024 number:1 day:17 month:04 https://dx.doi.org/10.1186/s40249-024-01195-3 X:VERLAG 0 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2024 1 17 04
language	English
source	Enthalten in Infectious diseases of poverty 13(2024), 1 vom: 17. Apr. volume:13 year:2024 number:1 day:17 month:04
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topic_facet	Epidemic models Model construction MODELS framework
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topic_title	610 VZ MODELS: a six-step framework for developing an infectious disease model Epidemic models (dpeaa)DE-He213 Model construction (dpeaa)DE-He213 MODELS framework (dpeaa)DE-He213
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abstract	Since the COVID-19 pandemic began, a plethora of modeling studies related to COVID-19 have been released. While some models stand out due to their innovative approaches, others are flawed in their methodology. To assist novices, frontline healthcare workers, and public health policymakers in navigating the complex landscape of these models, we introduced a structured framework named MODELS. This framework is designed to detail the essential steps and considerations for creating a dependable epidemic model, offering direction to researchers engaged in epidemic modeling endeavors. Graphical Abstract © The Author(s) 2024
abstractGer	Since the COVID-19 pandemic began, a plethora of modeling studies related to COVID-19 have been released. While some models stand out due to their innovative approaches, others are flawed in their methodology. To assist novices, frontline healthcare workers, and public health policymakers in navigating the complex landscape of these models, we introduced a structured framework named MODELS. This framework is designed to detail the essential steps and considerations for creating a dependable epidemic model, offering direction to researchers engaged in epidemic modeling endeavors. Graphical Abstract © The Author(s) 2024
abstract_unstemmed	Since the COVID-19 pandemic began, a plethora of modeling studies related to COVID-19 have been released. While some models stand out due to their innovative approaches, others are flawed in their methodology. To assist novices, frontline healthcare workers, and public health policymakers in navigating the complex landscape of these models, we introduced a structured framework named MODELS. This framework is designed to detail the essential steps and considerations for creating a dependable epidemic model, offering direction to researchers engaged in epidemic modeling endeavors. Graphical Abstract © The Author(s) 2024
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title_short	MODELS: a six-step framework for developing an infectious disease model
url	https://dx.doi.org/10.1186/s40249-024-01195-3
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author2	Li, Kangguo Wei, Hongjie Guo, Xiaohao Zhao, Zeyu Wang, Yao Song, Wentao Abudunaibi, Buasiyamu Chen, Tianmu
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up_date	2024-07-03T16:30:16.342Z
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