Literature DB >> 25254986

Estimating the future number of cases in the Ebola epidemic--Liberia and Sierra Leone, 2014-2015.

Martin I Meltzer, Charisma Y Atkins, Scott Santibanez, Barbara Knust, Brett W Petersen, Elizabeth D Ervin, Stuart T Nichol, Inger K Damon, Michael L Washington.   

Abstract

The first cases of the current West African epidemic of Ebola virus disease (hereafter referred to as Ebola) were reported on March 22, 2014, with a report of 49 cases in Guinea. By August 31, 2014, a total of 3,685 probable, confirmed, and suspected cases in West Africa had been reported. To aid in planning for additional disease-control efforts, CDC constructed a modeling tool called EbolaResponse to provide estimates of the potential number of future cases. If trends continue without scale-up of effective interventions, by September 30, 2014, Sierra Leone and Liberia will have a total of approximately 8,000 Ebola cases. A potential underreporting correction factor of 2.5 also was calculated. Using this correction factor, the model estimates that approximately 21,000 total cases will have occurred in Liberia and Sierra Leone by September 30, 2014. Reported cases in Liberia are doubling every 15-20 days, and those in Sierra Leone are doubling every 30-40 days. The EbolaResponse modeling tool also was used to estimate how control and prevention interventions can slow and eventually stop the epidemic. In a hypothetical scenario, the epidemic begins to decrease and eventually end if approximately 70% of persons with Ebola are in medical care facilities or Ebola treatment units (ETUs) or, when these settings are at capacity, in a non-ETU setting such that there is a reduced risk for disease transmission (including safe burial when needed). In another hypothetical scenario, every 30-day delay in increasing the percentage of patients in ETUs to 70% was associated with an approximate tripling in the number of daily cases that occur at the peak of the epidemic (however, the epidemic still eventually ends). Officials have developed a plan to rapidly increase ETU capacities and also are developing innovative methods that can be quickly scaled up to isolate patients in non-ETU settings in a way that can help disrupt Ebola transmission in communities. The U.S. government and international organizations recently announced commitments to support these measures. As these measures are rapidly implemented and sustained, the higher projections presented in this report become very unlikely.

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Year:  2014        PMID: 25254986

Source DB:  PubMed          Journal:  MMWR Suppl        ISSN: 2380-8942


  152 in total

1.  Ebola control: effect of asymptomatic infection and acquired immunity.

Authors:  Steve E Bellan; Juliet R C Pulliam; Jonathan Dushoff; Lauren Ancel Meyers
Journal:  Lancet       Date:  2014-10-15       Impact factor: 79.321

Review 2.  Ebola Virus Disease: Focus on Children.

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3.  Inference and forecast of the current west african ebola outbreak in Guinea, sierra leone and liberia.

Authors:  Jeffrey Shaman; Wan Yang; Sasikiran Kandula
Journal:  PLoS Curr       Date:  2014-10-31

4.  Perfect counterfactuals for epidemic simulations.

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5.  The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation.

Authors:  Marco Ajelli; Qian Zhang; Kaiyuan Sun; Stefano Merler; Laura Fumanelli; Gerardo Chowell; Lone Simonsen; Cecile Viboud; Alessandro Vespignani
Journal:  Epidemics       Date:  2017-09-20       Impact factor: 4.396

Review 6.  Opportunities and challenges in modeling emerging infectious diseases.

Authors:  C Jessica E Metcalf; Justin Lessler
Journal:  Science       Date:  2017-07-14       Impact factor: 47.728

7.  Epidemiological and viral genomic sequence analysis of the 2014 ebola outbreak reveals clustered transmission.

Authors:  Samuel V Scarpino; Atila Iamarino; Chad Wells; Dan Yamin; Martial Ndeffo-Mbah; Natasha S Wenzel; Spencer J Fox; Tolbert Nyenswah; Frederick L Altice; Alison P Galvani; Lauren Ancel Meyers; Jeffrey P Townsend
Journal:  Clin Infect Dis       Date:  2014-12-15       Impact factor: 9.079

Review 8.  Ebola virus: a clear and present danger.

Authors:  Eileen M Burd
Journal:  J Clin Microbiol       Date:  2014-11-12       Impact factor: 5.948

9.  Opinion: Mathematical models: a key tool for outbreak response.

Authors:  Eric T Lofgren; M Elizabeth Halloran; Caitlin M Rivers; John M Drake; Travis C Porco; Bryan Lewis; Wan Yang; Alessandro Vespignani; Jeffrey Shaman; Joseph N S Eisenberg; Marisa C Eisenberg; Madhav Marathe; Samuel V Scarpino; Kathleen A Alexander; Rafael Meza; Matthew J Ferrari; James M Hyman; Lauren A Meyers; Stephen Eubank
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-10       Impact factor: 11.205

10.  Assessing the direct effects of the ebola outbreak on life expectancy in liberia, sierra leone and Guinea.

Authors:  Stephane Helleringer; Andrew Noymer
Journal:  PLoS Curr       Date:  2015-02-19
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