Literature DB >> 29734964

Best practice assessment of disease modelling for infectious disease outbreaks.

Z F Dembek1, T Chekol2, A Wu3.   

Abstract

During emerging disease outbreaks, public health, emergency management officials and decision-makers increasingly rely on epidemiological models to forecast outbreak progression and determine the best response to health crisis needs. Outbreak response strategies derived from such modelling may include pharmaceutical distribution, immunisation campaigns, social distancing, prophylactic pharmaceuticals, medical care, bed surge, security and other requirements. Infectious disease modelling estimates are unavoidably subject to multiple interpretations, and full understanding of a model's limitations may be lost when provided from the disease modeller to public health practitioner to government policymaker. We review epidemiological models created for diseases which are of greatest concern for public health protection. Such diseases, whether transmitted from person-to-person (Ebola, influenza, smallpox), via direct exposure (anthrax), or food and waterborne exposure (cholera, typhoid) may cause severe illness and death in a large population. We examine disease-specific models to determine best practices characterising infectious disease outbreaks and facilitating emergency response and implementation of public health policy and disease control measures.

Entities:  

Keywords:  Computational modelling; epidemiology; infectious disease control; mathematical modelling; simulation

Mesh:

Year:  2018        PMID: 29734964      PMCID: PMC9134297          DOI: 10.1017/S095026881800119X

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  89 in total

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Authors:  Sarah S Jackson; Wilbur H Chen
Journal:  Future Microbiol       Date:  2015-07-31       Impact factor: 3.165

Review 2.  The disease triangle: pathogens, the environment and society.

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Review 3.  A global call from five countries to collaborate in antibiotic stewardship: united we succeed, divided we might fail.

Authors:  Debra A Goff; Ravina Kullar; Ellie J C Goldstein; Mark Gilchrist; Dilip Nathwani; Allen C Cheng; Kelly A Cairns; Kevin Escandón-Vargas; Maria Virginia Villegas; Adrian Brink; Dena van den Bergh; Marc Mendelson
Journal:  Lancet Infect Dis       Date:  2016-11-18       Impact factor: 25.071

4.  The Sverdlovsk anthrax outbreak of 1979.

Authors:  M Meselson; J Guillemin; M Hugh-Jones; A Langmuir; I Popova; A Shelokov; O Yampolskaya
Journal:  Science       Date:  1994-11-18       Impact factor: 47.728

Review 5.  Modeling cholera outbreaks.

Authors:  Dennis L Chao; Ira M Longini; J Glenn Morris
Journal:  Curr Top Microbiol Immunol       Date:  2014       Impact factor: 4.291

Review 6.  Global trends in typhoid and paratyphoid Fever.

Authors:  John A Crump; Eric D Mintz
Journal:  Clin Infect Dis       Date:  2010-01-15       Impact factor: 9.079

7.  Facilitators and Barriers to Community Acceptance of Safe, Dignified Medical Burials in the Context of an Ebola Epidemic, Sierra Leone, 2014.

Authors:  Seung Hee Lee-Kwan; Nickolas DeLuca; Rebecca Bunnell; Heather B Clayton; Alhaji Sayui Turay; Yayah Mansaray
Journal:  J Health Commun       Date:  2017

Review 8.  Effectiveness of travel restrictions in the rapid containment of human influenza: a systematic review.

Authors:  Ana L P Mateus; Harmony E Otete; Charles R Beck; Gayle P Dolan; Jonathan S Nguyen-Van-Tam
Journal:  Bull World Health Organ       Date:  2014-09-29       Impact factor: 9.408

9.  Spatiotemporal Analysis of the 2014 Ebola Epidemic in West Africa.

Authors:  Jantien A Backer; Jacco Wallinga
Journal:  PLoS Comput Biol       Date:  2016-12-08       Impact factor: 4.475

10.  An assessment of financial catastrophe and impoverishment from out-of-pocket health care payments in Swaziland.

Authors:  Cebisile Ngcamphalala; John E Ataguba
Journal:  Glob Health Action       Date:  2018       Impact factor: 2.640

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  2 in total

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Authors:  Igor Djurović
Journal:  Heliyon       Date:  2020-06-17

2.  A decision support framework for prediction of avian influenza.

Authors:  Samira Yousefinaghani; Rozita A Dara; Zvonimir Poljak; Shayan Sharif
Journal:  Sci Rep       Date:  2020-11-04       Impact factor: 4.379

  2 in total

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