메뉴 건너뛰기




Volumn 374, Issue 1776, 2019, Pages

Perfect counterfactuals for epidemic simulations

Author keywords

Counterfactuals; Infectious disease dynamics; Infectious disease epidemiology; Network models

Indexed keywords

CONFIDENCE INTERVAL; DISEASE CONTROL; EPIDEMIC; EPIDEMIOLOGY; INFECTIOUS DISEASE; NUMERICAL MODEL; SIMULATION; STOCHASTICITY; UNCERTAINTY ANALYSIS;

EID: 85065399630     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2018.0279     Document Type: Article
Times cited : (13)

References (32)
  • 1
    • 84940754922 scopus 로고    scopus 로고
    • The impact of a one-dose versus two-dose oral cholera vaccine regimen in outbreak settings: A modeling study
    • Azman AS, Luquero FJ, Ciglenecki I, Grais RF, Sack DA, Lessler J. 2015 The impact of a one-dose versus two-dose oral cholera vaccine regimen in outbreak settings: a modeling study. PLoS Med. 12, e1001867. (doi:10.1371/journal.pmed.1001867)
    • (2015) PLoS Med , vol.12
    • Azman, A.S.1    Luquero, F.J.2    Ciglenecki, I.3    Grais, R.F.4    Sack, D.A.5    Lessler, J.6
  • 2
    • 77949408112 scopus 로고    scopus 로고
    • Examining the promise of HIV elimination by 'test and treat' in hyper-endemic settings
    • Dodd PJ, Garnett GP, Hallett TB. 2010 Examining the promise of HIV elimination by 'test and treat' in hyper-endemic settings. AIDS 24, 729-735. (doi:10.1097/QAD.0b013e32833433fe)
    • (2010) AIDS , vol.24 , pp. 729-735
    • Dodd, P.J.1    Garnett, G.P.2    Hallett, T.B.3
  • 3
    • 84994236187 scopus 로고    scopus 로고
    • Impact on epidemic measles of vaccination campaigns triggered by disease outbreaks or serosurveys: A modeling study
    • Lessler J, Metcalf CJ, Cutts FT, Grenfell BT. 2016 Impact on epidemic measles of vaccination campaigns triggered by disease outbreaks or serosurveys: a modeling study. PLoS Med. 13, e1002144. (doi:10.1371/journal.pmed.1002144)
    • (2016) PLoS Med , vol.13
    • Lessler, J.1    Metcalf, C.J.2    Cutts, F.T.3    Grenfell, B.T.4
  • 4
    • 33847295793 scopus 로고    scopus 로고
    • Evaluating the performance of chemical control in the presence of resistant pathogens
    • Hall RJ, Gubbins S, Gilligan CA. 2007 Evaluating the performance of chemical control in the presence of resistant pathogens. Bull. Math. Biol. 69, 525-537. (doi:10.1007/s11538-006-9139-z)
    • (2007) Bull. Math. Biol. , vol.69 , pp. 525-537
    • Hall, R.J.1    Gubbins, S.2    Gilligan, C.A.3
  • 6
    • 33645796209 scopus 로고    scopus 로고
    • Controlling methicillin-resistant Staphylococcus aureus: Quantifying the effects of interventions and rapid diagnostic testing
    • Bootsma MCJ, Diekmann O, Bonten MJM. 2006 Controlling methicillin-resistant Staphylococcus aureus: quantifying the effects of interventions and rapid diagnostic testing. Proc. Natl Acad. Sci. USA 103, 5620-5625. (doi:10.1073/pnas. 0510077103)
    • (2006) Proc. Natl Acad. Sci. USA , vol.103 , pp. 5620-5625
    • Bootsma, M.C.J.1    Diekmann, O.2    Bonten, M.J.M.3
  • 9
    • 1942501653 scopus 로고    scopus 로고
    • Factors that make an infectious disease outbreak controllable
    • Fraser C, Riley S, Anderson RM, Ferguson NM. 2004 Factors that make an infectious disease outbreak controllable. Proc. Natl Acad. Sci. USA 101, 6146-6151. (doi:10.1073/pnas.0307506101)
    • (2004) Proc. Natl Acad. Sci. USA , vol.101 , pp. 6146-6151
    • Fraser, C.1    Riley, S.2    Anderson, R.M.3    Ferguson, N.M.4
  • 12
    • 84879121893 scopus 로고    scopus 로고
    • Capturing the time-varying drivers of an epidemic using stochastic dynamical systems
    • Dureau J, Kalogeropoulos K, Baguelin M. 2013 Capturing the time-varying drivers of an epidemic using stochastic dynamical systems. Biostatistics 14, 541-555. (doi:10.1093/biostatistics/kxs052)
    • (2013) Biostatistics , vol.14 , pp. 541-555
    • Dureau, J.1    Kalogeropoulos, K.2    Baguelin, M.3
  • 13
    • 34948815060 scopus 로고    scopus 로고
    • Impact of scale on the effectiveness of disease control strategies for epidemics with cryptic infection in a dynamical landscape: An example for a crop disease
    • Gilligan CA, Truscott JE, Stacey AJ. 2007 Impact of scale on the effectiveness of disease control strategies for epidemics with cryptic infection in a dynamical landscape: an example for a crop disease. J. R. Soc. Interface 4, 925-934. (doi:10.1098/rsif.2007.1019)
    • (2007) J. R. Soc. Interface , vol.4 , pp. 925-934
    • Gilligan, C.A.1    Truscott, J.E.2    Stacey, A.J.3
  • 14
    • 84922226137 scopus 로고    scopus 로고
    • Modeling the impact of interventions on an epidemic of Ebola in Sierra Leone and Liberia
    • Rivers CM, Lofgren ET, Marathe M, Lewis BL. 2014 Modeling the impact of interventions on an epidemic of Ebola in Sierra Leone and Liberia. PLoS Curr. (doi:10.1371/currents.outbreaks. fd38dd85078565450b0be3fcd78f5ccf)
    • (2014) PLoS Curr
    • Rivers, C.M.1    Lofgren, E.T.2    Marathe, M.3    Lewis, B.L.4
  • 16
    • 49549090865 scopus 로고    scopus 로고
    • Toward causal inference with interference
    • Hudgens MG, Halloran ME. 2008 Toward causal inference with interference. J. Am. Stat. Ass. 103, 832-842. (doi:10.1198/016214508000000292)
    • (2008) J. Am. Stat. Ass. , vol.103 , pp. 832-842
    • Hudgens, M.G.1    Halloran, M.E.2
  • 17
    • 1642443338 scopus 로고    scopus 로고
    • A definition of causal effect for epidemiological research
    • Hernán MA. 2004 A definition of causal effect for epidemiological research. J. Epidemiol. Commun. Health 58, 265-271. (doi:10.1136/jech.2002. 006361)
    • (2004) J. Epidemiol. Commun. Health , vol.58 , pp. 265-271
    • Hernán, M.A.1
  • 18
    • 33745842238 scopus 로고    scopus 로고
    • Estimating causal effects from epidemiological data
    • Hernán MA, Robins JM. 2006 Estimating causal effects from epidemiological data. J. Epidemiol. Commun. Health 60, 578-586. (doi:10.1136/jech. 2004.029496)
    • (2006) J. Epidemiol. Commun. Health , vol.60 , pp. 578-586
    • Hernán, M.A.1    Robins, J.M.2
  • 19
    • 49949108143 scopus 로고    scopus 로고
    • Constructing the effect of alternative intervention strategies on historic epidemics
    • Cook AR, Gibson GJ, Gottwald TR, Gilligan CA. 2008 Constructing the effect of alternative intervention strategies on historic epidemics. J. R. Soc. Interface 5, 1203-1213. (doi:10.1098/rsif.2008.0030)
    • (2008) J. R. Soc. Interface , vol.5 , pp. 1203-1213
    • Cook, A.R.1    Gibson, G.J.2    Gottwald, T.R.3    Gilligan, C.A.4
  • 20
    • 0000045988 scopus 로고
    • On the asymptotic distribution of the size of a stochastic epidemic
    • Sellke T. 1983 On the asymptotic distribution of the size of a stochastic epidemic. J. Appl. Probab. 20, 390-394. (doi:10.2307/3213811)
    • (1983) J. Appl. Probab. , vol.20 , pp. 390-394
    • Sellke, T.1
  • 23
    • 0027949856 scopus 로고
    • An analytic model of plant virus disease dynamics with roguing and replanting
    • Chan MS, Teger MJ. 1994 An analytic model of plant virus disease dynamics with roguing and replanting. J. Appl. Ecol. 31, 413-427. (doi:10. 2307/2404439)
    • (1994) J. Appl. Ecol. , vol.31 , pp. 413-427
    • Chan, M.S.1    Teger, M.J.2
  • 24
    • 84924787757 scopus 로고    scopus 로고
    • Modeling infectious disease dynamics in the complex landscape of global health
    • Heesterbeek H et al. 2015 Modeling infectious disease dynamics in the complex landscape of global health. Science 347, aaa4339. (doi:10.1126/ science.aaa4339)
    • (2015) Science , vol.347 , pp. aaa4339
    • Heesterbeek, H.1
  • 25
    • 44849101593 scopus 로고    scopus 로고
    • Mathematical models of infectious disease transmission
    • Grassly NC, Fraser C. 2008 Mathematical models of infectious disease transmission. Nat. Rev. Microbiol. 6, 477-487. (doi:10.1038/nrmicro1845)
    • (2008) Nat. Rev. Microbiol. , vol.6 , pp. 477-487
    • Grassly, N.C.1    Fraser, C.2
  • 26
    • 70449441301 scopus 로고    scopus 로고
    • Estimation of the reproductive number and the serial interval in early phase of the 2009 influenza A/H1N1 pandemic in the USA
    • Forsberg-White L, Wallinga J, Finelli L, Reed C, Riley S, Lipsitch M, Pagano M. 2009 Estimation of the reproductive number and the serial interval in early phase of the 2009 influenza A/H1N1 pandemic in the USA. Influenza Other Respir. Viruses 3, 267-276. (doi:10.1111/irv.2009.3.issue-6)
    • (2009) Influenza Other Respir. Viruses , vol.3 , pp. 267-276
    • Forsberg-White, L.1    Wallinga, J.2    Finelli, L.3    Reed, C.4    Riley, S.5    Lipsitch, M.6    Pagano, M.7
  • 27
    • 79955118095 scopus 로고    scopus 로고
    • Epidemic percolation networks, epidemic outcomes, and interventions
    • Kenah E, Miller JC. 2011 Epidemic percolation networks, epidemic outcomes, and interventions. Interdiscip. Perspect. Infect. Dis. 2011, 543520. (doi:10.1155/2011/543520)
    • (2011) Interdiscip. Perspect. Infect. Dis. , vol.2011 , pp. 543520
    • Kenah, E.1    Miller, J.C.2
  • 31
    • 84862639527 scopus 로고    scopus 로고
    • Modeling the control of trypanosomiasis using trypanocides or insecticide-treated livestock
    • Hargrove JW, Ouifki R, Kajunguri D, Vale GA, Torr SJ. 2012 Modeling the control of trypanosomiasis using trypanocides or insecticide-treated livestock. PLoS Negl. Trop. Dis. 6, e1615. (doi:10.1371/journal.pntd. 0001615)
    • (2012) PLoS Negl. Trop. Dis. , vol.6
    • Hargrove, J.W.1    Ouifki, R.2    Kajunguri, D.3    Vale, G.A.4    Torr, S.J.5
  • 32
    • 84969988517 scopus 로고    scopus 로고
    • Modeling when, where, and how to manage a forest epidemic, motivated by sudden oak death in California
    • Cunniffe NJ, Cobb RC, Meentemeyer RK, Rizzo DM, Gilligan CA. 2016 Modeling when, where, and how to manage a forest epidemic, motivated by sudden oak death in California. Proc. Natl Acad. Sci. USA 113, 5640-5645. (doi:10.1073/pnas.1602153113)
    • (2016) Proc. Natl Acad. Sci. USA , vol.113 , pp. 5640-5645
    • Cunniffe, N.J.1    Cobb, R.C.2    Meentemeyer, R.K.3    Rizzo, D.M.4    Gilligan, C.A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.