Theoretical perspectives on the infectiousness of Ebola virus disease Epidemiology

Theoretical Biology and Medical Modelling

Volumn 12, Issue 1, 2015, Pages

  Nishiura, Hiroshi ^a,b   Chowell, Gerardo ^c,d,e  

^a UNIVERSITY OF TOKYO   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^c GEORGIA STATE UNIVERSITY   (United States)

^d NATIONAL INSTITUTES OF HEALTH   (United States)

^e ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EBOLA VIRUS;

BASIC REPRODUCTION NUMBER; BIOLOGICAL MODEL; EBOLA HEMORRHAGIC FEVER; EBOLAVIRUS; HUMAN; PATHOGENICITY; PHYSIOLOGY; RISK FACTOR; TIME FACTOR; TRANSMISSION; VIROLOGY;

BASIC REPRODUCTION NUMBER; EBOLAVIRUS; HEMORRHAGIC FEVER, EBOLA; HUMANS; MODELS, BIOLOGICAL; RISK FACTORS; TIME FACTORS;

EID: 84929170367     PISSN: None     EISSN: 17424682     Source Type: Journal    
DOI: 10.1186/1742-4682-12-1     Document Type: Review

References (27)

1. Chowell G, Nishiura H: Transmission dynamics and control of Ebola virus disease (EVD): a review. BMC Med 2014, 12:196.
2. WHO Ebola Response Team: Ebola virus disease in West Africa-the first 9 months of the epidemic and forward projections. N Engl J Med 2014, 371:1481-1495.
3. Kucharski AJ, Edmunds WJ: Case fatality rate for Ebola virus disease in west Africa. Lancet 2014, 384:1260.
4. Incident Management System Ebola Epidemiology Team, CDC; Ministries of Health of Guinea, Sierra Leone, Liberia, Nigeria, and Senegal; Viral Special Pathogens Branch, National Center for Emerging and Zoonotic Infectious Diseases, CDC: Ebola virus disease outbreak - West Africa, September 2014. Morb Mortal Wkly Rep 2014, 63:865-866.
5. Nishiura H, Chowell G: Early transmission dynamics of Ebola virus disease (EVD), West Africa, March to August 2014. Euro Surveill 2014., 19: Available online: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=20894
6. Althaus CL: Estimating the reproduction number of Zaire ebolavirus (EBOV) during the 2014 outbreak in West Africa. PLOS Curr Outbreaks 2014. Sep 2. Edition 1. doi:10.1371/currents.outbreaks.91afb5e0f279e7f29e7056095255b288
7. Fisman D, Khoo E, Tuite A: Early epidemic dynamics of the West African 2014 Ebola outbreak: estimates derived with a simple two-parameter model. PLOS Curr Outbreaks 2014. Sep 8. Edition 1. doi:10.1371/currents.outbreaks.89c0d3783f36958d96ebbae97348d571
8. Gomes MF, Piontti AP, Rossi L, Chao D, Longini I, Halloran ME, et al.: Assessing the international spreading risk associated with the 2014 West African Ebola outbreak. PLOS Curr Outbreaks 2014. Sep 2. Edition 1. doi:10.1371/currents.outbreaks.cd818f63d40e24aef769dda7df9e0da5
9. Towers S, Patterson-Lomba O, Castillo-Chavez C: Temporal variations in the effective reproduction number of the 2014 West Africa Ebola outbreak. PLOS Curr Outbreaks 2014. Sep 18. Edition 1. doi:10.1371/currents.outbreaks.9e4c4294ec8ce1adad283172b16bc908
10. Yamin D, Gertler S, Ndeffo-Mbah ML, Skrip LA, Fallah M, Nyenswah TG, et al.: Effect of Ebola progression on transmission and control in Liberia. Ann Intern Med 2014. doi:10.7326/M14-2255. in press
11. Fasina F, Shittu A, Lazarus D, Tomori O, Simonsen L, Viboud C, et al.: Transmission dynamics and control of Ebola virus disease outbreak in Nigeria, July to September 2014. Eur Surveill 2014., 19: Available online: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=20920
12. Althause CL, Gsteiger S, Low N: Ebola virus disease outbreak in Nigeria: lessons to learn. Peer J PrePrints 2014, 2:e569v1.
13. Diekmann O, Heesterbeek JAP: Mathematical epidemiology of infectious diseases: model building, analysis and interpretation. Chichester: Wiley; 2000.
14. Nishiura H: Time variations in the generation time of an infectious disease: implications for sampling to appropriately quantify transmission potential. Math Biosci Eng 2010, 7:851-869.
15. 0 in models for infectious diseases in heterogeneous populations. J Math Biol 1990, 28:365-382.
16. Nishiura H, Chowell G, Safan M, Castillo-Chavez C: Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009. Theor Biol Med Model 2010, 7:1. 10.1186/1742-4682-7-1
17. 0 in periodic population models. J Math Biol 2012, 65:601-621. 10.1007/s00285-011-0479-4
18. Farrington CP: Modelling forces of infection for measles, mumps and rubella. Stat Med 1990, 9:953-967. 10.1002/sim.4780090811
19. Fine PE: Herd immunity: history, theory, practice. Epidemiol Rev 1993, 15:265-302.
20. Boëlle PY, Ansart S, Cori A, Valleron AJ: Transmission parameters of the A/H1N1 (2009) influenza virus pandemic: a review. Influenza Other Respir Viruses 2011, 5:306-316. 10.1111/j.1750-2659.2011.00234.x
21. Inaba H, Nishiura H: The state-reproduction number for a multistate class age structured epidemic system and its application to the asymptomatic transmission model. Math Biosci 2008, 216:77-89. 10.1016/j.mbs.2008.08.005
22. Eichner M, Dowell SF, Firese N: Incubation period of Ebola hemorrhagic virus subtype Zaire. Osong Public Health Res Persptect 2011, 2:3-7. 10.1016/j.phrp.2011.04.001
23. Cowling BJ, Ip DK, Fang VJ, Suntarattiwong P, Olsen SJ, Levy J, et al.: Aerosol transmission is an important mode of influenza A virus spread. Nat Commun 2013, 4:1935.
24. Keyfitz BL, Keyfitz N: The McKendrick partial differential equation and its uses in epidemiology and population study. Math Comp Model 1997, 26:1-9.
25. Wallinga J, Lipsitch M: How generation intervals shape the relationship between growth rates and reproductive numbers. Proc R Soc Lond Ser B 2007, 274:599-604. 10.1098/rspb.2006.3754
26. Roberts MG, Heesterbeek JA: Model-consistent estimation of the basic reproduction number from the incidence of an emerging infection. J Math Biol 2007, 55:803-816. 10.1007/s00285-007-0112-8
27. Eichner M, Dietz K: Transmission potential of smallpox: estimates based on detailed data from an outbreak. Am J Epidemiol 2003, 158:110-117. 10.1093/aje/kwg103