Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational.

Slides:



Advertisements
Similar presentations
Crohn's disease Prof Daniel C Baumgart, MD, Prof William J Sandborn, MD The Lancet Volume 380, Issue 9853, Pages (November 2012) DOI: /S (12)
Advertisements

Preventive malaria treatment for contacts of patients with Ebola virus disease in the context of the west Africa 2014–15 Ebola virus disease response:
Clinical features of patients isolated for suspected Ebola virus disease at Connaught Hospital, Freetown, Sierra Leone: a retrospective cohort study 
Increasing risk over time of weather-related hazards to the European population: a data- driven prognostic study  Dr Giovanni Forzieri, PhD, Alessandro.
Progress and prospects for the control of HIV and tuberculosis in South Africa: a dynamical modelling study  Dr Brian G Williams, PhD, Somya Gupta, MA,
Volume 389, Issue 10076, Pages (April 2017)
Clinical features of patients isolated for suspected Ebola virus disease at Connaught Hospital, Freetown, Sierra Leone: a retrospective cohort study 
Total and cause-specific mortality before and after the onset of the Greek economic crisis: an interrupted time-series analysis  Ioannis Laliotis, PhD,
Volume 5, Issue 4, Pages (April 2006)
Controlling Ebola: key role of Ebola treatment centres
The post-Ebola baby boom: time to strengthen health systems
Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational.
Infections related to totally implantable venous-access ports
Outbreaks of cholera in the time of Ebola: pre-emptive action needed
John N Nkengasong, Philip Onyebujoh  The Lancet 
Statistical power and validity of Ebola vaccine trials in Sierra Leone: a simulation study of trial design and analysis  Dr Steven E Bellan, PhD, Juliet.
Underestimate of annual malaria imports to Canada – Author reply
Ebola superspreading The Lancet Infectious Diseases
Andrea Ganna, PhD, Prof Erik Ingelsson, MD  The Lancet 
Characteristics and survival of patients with Ebola virus infection, malaria, or both in Sierra Leone: a retrospective cohort study  Matthew Waxman, MD,
Ebola control: effect of asymptomatic infection and acquired immunity
Volume 18, Issue 4, Pages (October 2015)
Trends in virological and clinical outcomes in individuals with HIV-1 infection and virological failure of drugs from three antiretroviral drug classes:
Finding undiagnosed leprosy cases
Requirements for global elimination of hepatitis B: a modelling study
Volume 391, Issue 10121, Pages (February 2018)
Brian J Coburn, Sally Blower  The Lancet Infectious Diseases 
Domestic and donor financing for tuberculosis care and control in low-income and middle-income countries: an analysis of trends, 2002–11, and requirements.
Progress and prospects for the control of HIV and tuberculosis in South Africa: a dynamical modelling study  Dr Brian G Williams, PhD, Somya Gupta, MA,
Volume 4, Issue 5, Pages e223-e230 (May 2017)
Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis  Paul O Ouma,
Finding undiagnosed leprosy cases
Distribution of take-home opioid antagonist kits during a synthetic opioid epidemic in British Columbia, Canada: a modelling study  Michael A Irvine,
Paediatric mortality related to pandemic influenza A H1N1 infection in England: an observational population-based study  Nabihah Sachedina, MBBS, Prof.
Resurgence of scarlet fever in England, 2014–16: a population-based surveillance study  Theresa Lamagni, PhD, Rebecca Guy, BSc, Meera Chand, MBBS, Katherine.
Chains of transmission and control of Ebola virus disease in Conakry, Guinea, in 2014: an observational study  Ousmane Faye, PhD, Pierre-Yves Boëlle,
Challenges to eliminate rabies virus infection in China by 2020
Prevalence of tuberculosis, hepatitis C virus, and HIV in homeless people: a systematic review and meta-analysis  Ulla Beijer, PhD, Achim Wolf, MSc, Dr.
The effects of clinical and statistical heterogeneity on the predictive values of results from meta-analyses  W.G. Melsen, M.C.J. Bootsma, M.M. Rovers,
Equity in antenatal care quality: an analysis of 91 national household surveys  Catherine Arsenault, PhD, Keely Jordan, MSc, Dennis Lee, BA, Girmaye Dinsa,
Marshall Burke, PhD, Sam Heft-Neal, PhD, Dr Eran Bendavid, MD 
Volume 390, Issue 10094, Pages (August 2017)
Volume 384, Issue 9941, Pages (August 2014)
Low-level lead exposure and mortality in US adults: a population-based cohort study  Prof Bruce P Lanphear, MD, Stephen Rauch, MPH, Peggy Auinger, MS,
Modelling the effect of early detection of Ebola
Community-based care of Ebola virus disease in west Africa
Disparities in mortality among 25–44-year-olds in England: a longitudinal, population- based study  Prof Evangelos Kontopantelis, PhD, Prof Iain Buchan,
Malaria morbidity and mortality in Ebola-affected countries caused by decreased health- care capacity, and the potential effect of mitigation strategies:
The velocity of Ebola spread in parts of west Africa
Volume 393, Issue 10171, Pages (February 2019)
Effectiveness of screening for Ebola at airports
Errata The Lancet Infectious Diseases
Forecasting the care needs of the older population in England over the next 20 years: estimates from the Population Ageing and Care Simulation (PACSim)
Volume 393, Issue 10178, Pages (March 2019)
Dynamics and control of Ebola virus transmission in Montserrado, Liberia: a mathematical modelling analysis  Joseph A Lewnard, BA, Martial L Ndeffo Mbah,
Low-technology approaches
Tuberculosis control interventions targeted to previously treated people in a high- incidence setting: a modelling study  Florian M Marx, MD, Reza Yaesoubi,
Volume 3, Issue 2, Pages e94-e104 (February 2016)
Long-term circulation of Zika virus in Thailand: an observational study  Kriangsak Ruchusatsawat, PhD, Pattara Wongjaroen, MSc, Arisara Posanacharoen,
Volume 373, Issue 9672, Pages (April 2009)
Estimation of PM2·5-associated disease burden in China in 2020 and 2030 using population and air quality scenarios: a modelling study  Qing Wang, PhD,
Infections related to totally implantable venous-access ports
Preventive malaria treatment for contacts of patients with Ebola virus disease in the context of the west Africa 2014–15 Ebola virus disease response:
Age-targeted tuberculosis vaccination in China and implications for vaccine development: a modelling study  Rebecca C Harris, PhD, Tom Sumner, PhD, Gwenan.
Ebola control: rapid diagnostic testing
A 12 year outbreak of scarlet fever in Singapore
Ebola control: effect of asymptomatic infection and acquired immunity
Trends in, and projections of, indicators of universal health coverage in Bangladesh, 1995–2030: a Bayesian analysis of population-based household data 
Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling  Gwenan M Knight, PhD, C Finn McQuaid,
20-year trends in cause-specific heart failure outcomes by sex, socioeconomic status, and place of diagnosis: a population-based study  Claire A Lawson,
Presentation transcript:

Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational modelling analysis  Stefano Merler, MS, Marco Ajelli, PhD, Laura Fumanelli, PhD, Marcelo F C Gomes, PhD, Ana Pastore y Piontti, PhD, Luca Rossi, PhD, Dennis L Chao, PhD, Prof Ira M Longini, PhD, Prof M Elizabeth Halloran, DSc, Prof Alessandro Vespignani, PhD  The Lancet Infectious Diseases  Volume 15, Issue 2, Pages 204-211 (February 2015) DOI: 10.1016/S1473-3099(14)71074-6 Copyright © 2015 Elsevier Ltd Terms and Conditions

Figure 1 Early spread of Ebola virus disease in Liberia (A) Top: cumulative number (log scale) of Ebola virus disease deaths over time in the general population of Liberia. Dots refer to the data reported by WHO (blue dots show data used for model initialisation and calibration). Lines and shaded areas refer to estimated mean and 95% CI model predictions, respectively. The scenario that assumes 100% reporting is shown in red, and the 50% under-reporting scenario is shown in blue. The proportion of patients admitted to hospital was assumed to be 80%. Middle: cumulative number (log scale) of Ebola virus disease cases (confirmed, probable, and suspected) over time in the general population; colours as in top. Bottom: cumulative number (log scale) of Ebola virus disease deaths over time in health-care workers; colours as in top. (B) Proportions of infections that occur within households and the community, in hospitals, and during funerals as of Aug 16, 2014. Results that assume 50% and 100% reporting rates in the general population are shown. (C) Proportion of cases in health-care workers and proportion of cases due to contacts between household members as of Aug 16, 2014, that assume 50% and 100% reporting rates in the general population. (D) Simulations of the spatial spread of Ebola virus disease in Liberia as of Jun 16, 2014. Predicted cumulative number of Ebola virus disease cases per cell over time in Liberia, assuming a 100% reporting rate and 80% hospital admission rate. Each cell corresponds to an area of about 25 km2. (E) As (D) but as of Aug 16, 2014. The Lancet Infectious Diseases 2015 15, 204-211DOI: (10.1016/S1473-3099(14)71074-6) Copyright © 2015 Elsevier Ltd Terms and Conditions

Figure 2 Spatiotemporal dynamics after mid-August, 2014 (A) Number of deaths (top) and cases (bottom) in the general population. Dots refer to the data reported by WHO. Lines and shaded areas are estimated mean and 95% CI model predictions, respectively. Red shows the 100% reporting scenario, blue the 50% reporting scenario. An 80% hospital admission rate was assumed. (B) Left: daily number of admissions to ETUs assuming the 100% reporting scenario. Lines and shaded areas are estimated mean and 95% CI model predictions, respectively. Dots are data reported by WHO. An 80% hospital admission rate was assumed. Right: as left, but for the number of patients infected with Ebola virus receiving treatment in Ebola treatment units. (C) Cumulative number of cases in the general population in the most affected counties of Liberia (the seven counties account for about 97% of overall cases) assuming the 100% reporting scenario. Dots are the data reported by WHO. Lines and shaded areas show the estimated mean and 95% CI model predictions, respectively. ETU=Ebola treatment unit. The Lancet Infectious Diseases 2015 15, 204-211DOI: (10.1016/S1473-3099(14)71074-6) Copyright © 2015 Elsevier Ltd Terms and Conditions

Figure 3 Effect of non-pharmaceutical interventions (A) Estimated cumulative number of deaths (boxplot shows 2·5%, 25%, 75%, and 97·5% quantiles of the predicted distribution) as predicted by the model by assuming the 100% reporting scenario and considering different degrees of interventions. An 80% hospital admission rate is assumed. (B) Estimated median number of daily deaths by assuming the 100% reporting scenario, the effects of both Ebola treatment units and safe burials, and by varying the coverage of protection kits from 50% to 90%. An 80% hospital admission rate is assumed. ETU=Ebola treatment unit. The Lancet Infectious Diseases 2015 15, 204-211DOI: (10.1016/S1473-3099(14)71074-6) Copyright © 2015 Elsevier Ltd Terms and Conditions