박사

Mathematical Models of Emerging Infectious Diseases in the Republic of Korea: 2009 A/H1N1 Influenza and 2015 Middle East Respiratory Syndrome = 한국에서 발생한 신종감염병의 수학적 모델링: 메르스와 신종인플루엔자

이종걸 2016년
논문상세정보
' Mathematical Models of Emerging Infectious Diseases in the Republic of Korea: 2009 A/H1N1 Influenza and 2015 Middle East Respiratory Syndrome = 한국에서 발생한 신종감염병의 수학적 모델링: 메르스와 신종인플루엔자' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 수학
  • Commuting function
  • Emerging infectious diseases
  • Heterogeneity of infection
  • Mathematical model
  • Spatial-temporal model
  • Superspreaders
  • 감염이질성
  • 수학적모델
  • 슈퍼전파자
  • 시공간모델
  • 신종감염병
  • 통근통학함수
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
3,028 0

0.0%

' Mathematical Models of Emerging Infectious Diseases in the Republic of Korea: 2009 A/H1N1 Influenza and 2015 Middle East Respiratory Syndrome = 한국에서 발생한 신종감염병의 수학적 모델링: 메르스와 신종인플루엔자' 의 참고문헌

  • Koearn Statistical Information System, Ministry of Health and Welfare. Reported cases of Infectious Disease by Month;. Retrieved from: http://kosis.kr/statHtml/statHtml.do?orgId=117&tblId=DT_ 117N_A00405&conn_path=I3.
  • Zumla A, Hui DS, Perlman S. Middle East respiratory syndrome. The Lancet. 2015;386(9997):995–1007. Available from: http://linkinghub. elsevier.com/retrieve/pii/S0140673615604548.
  • Zhang Q, Wang D. Assessing the Role of Voluntary Self-Isolation in the Control of Pandemic Influenza Using a Household Epidemic Model. International Journal of Environmental Research and Public Health. 2015;12(8):9750–9767. Available from: http://www.mdpi.com/ 1660-4601/12/8/9750/.
  • Zaki AM, van Boheemen S, Bestebroer TM, Osterhaus ADME, Fouchier RAM. Isolation of a Novel Coronavirus from a Man with Pneumonia in Saudi Arabia. New England Journal of Medicine. 2012;367(19):1814–1820. Available from: http://www.nejm.org/doi/ abs/10.1056/NEJMoa1211721.
  • Yuan Yx. A review of trust region algorithms for optimization. In: ICIAM. vol. 99; 2000. p. 271–282.
  • Xiao H, Lin X, Chowell G, Huang C, Gao L, Chen B, et al. Urban structure and the risk of influenza A (H1N1) outbreaks in municipal districts. Chinese Science Bulletin. 2014;59(5-6):554–562.
  • World Health Organization. Pandemic (H1N1) 2009;. Accessed on: 22-07- 2014. Retrieved from: http://www.who.int/csr/disease/swineflu/.
  • World Health Organization. Middle East respiratory syndrome coronavirus (MERS-CoV) — Fact sheets; 2015. Retrieved from: http://www. who.int/mediacentre/factsheets/mers-cov/en/.
  • World Health Organization. Middle East respiratory syndrome coronavirus (MERS-CoV) – Republic of Korea; 2015. [Accessed 14 July 2015]. Available from: http://www.who.int/csr/don/ 24-may-2015-mers-korea/en/.
  • World Health Organization. Middle East respiratory syndrome coronavirus (MERS-CoV) maps and epicurves; 2015. Available from: http://www.who.int/csr/disease/coronavirus_infections/ maps-epicurves/en/.
  • Wen HL, Zhao L, Zhai S, Chi Y, Cui F, Wang D, et al. Severe fever with thrombocytopenia syndrome, Shandong Province, China, 2011. Emerging infectious diseases. 2014;20(1):1.
  • Wang W, Zhao XQ. An epidemic model in a patchy environment. Mathematical biosciences. 2004;190(1):97–112.
  • Wang W, Mulone G. Threshold of disease transmission in a patch environment. Journal of mathematical analysis and applications. 2003;285(1):321–335.
  • Viboud C, Bj rnstad ON, Smith DL, Simonsen L, Miller MA, Grenfell BT. Synchrony, waves, and spatial hierarchies in the spread of influenza. science. 2006;312(5772):447–451.
  • Van Den Driessche P, Watmough J. Reproduction numbers and subthreshold endemic equilibria for compartmental models of disease transmission. Mathematical Biosciences. 2002;180:29–48.
  • United Nations, Department of Economic and Social Affairs, Population Division. World Urbanization Prospects: The 2014 Revision; 2014. Retrieved from: http://esa.un.org/unpd/wup.
  • Tuite AR, Greer AL, Whelan M, Winter AL, Lee B, Yan P, et al. Estimated epidemiologic parameters and morbidity associated with pandemic H1N1 influenza. Canadian Medical Association Journal. 2010;182(2):131– 136.
  • The Health Protection Agency (HPA) UK Novel Coronavirus Investigation team. Evidence of person-to-person transmission within a family cluster of novel coronavirus infections, United Kingdom, February 2013. Euro surveillance. 2013;18(11):20427. Available from: http://www.ncbi. nlm.nih.gov/pubmed/23517868.
  • Superspreading and the effect of individual variation on disease emergence. 2005 nov;438(7066):355–9. Available from: http://dx.doi.org/ 10.1038/nature04153.
  • Suh Mina CHJKYKKDYHNWHKHLDHKCS Lee Jeehyun. Mathematical Modeling of the Novel Influenza A (H1N1) Virus and Evaluation of the Epidemic Response Strategies in the Republic of Korea. J Prev Med Public Health. 2010;43(2):109–116. Available from: http://jpmph.org/ journal/view.php?number=1414.
  • Stein RA. Super-spreaders in infectious diseases. International journal of infectious diseases. 2011 Aug;15(8):e510–e513. Available from: http:// www.sciencedirect.com/science/article/pii/S1201971211000245.
  • Statistics Korea. Complete Enumeration Results of the 2010 Population and Housing Census; 2011. Accessed on: 10-07-2014. Retrieved from: http://kostat.go.kr/portal/english/news/1/17/2/index.board? bmode=read&bSeq=&aSeq=273087&pageNo=1&rowNum=10&navCount=10& currPg=&sTarget=title&sTxt=.
  • Sattenspiel L, Herring DA. Simulating the effect of quarantine on the spread of the 1918–19 flu in central Canada. Bulletin of mathematical biology. 2003;65(1):1–26.
  • Sattenspiel L, Dietz K. A structured epidemic model incorporating geographic mobility among regions. Mathematical Biosciences. 1995;128(1):71–91.
  • Park HY, Lee EJ, Ryu YW, Kim Y, Kim H, Lee H, et al. Epidemiological investigation of MERS-CoV spread in a single hospital in South Korea , May to June 2015 *. Euro surveillance. 2015;25(20). Available from: http: //www.eurosurveillance.org/ViewArticle.aspx?ArticleId=21169.
  • Pandey A, Atkins KE, Medlock J, Wenzel N, Townsend JP, Childs JE, et al. Strategies for containing Ebola in West Africa. Science (New York, NY). 2014 nov;346(6212):991–5. Available from: http://www. sciencemag.org/content/346/6212/991.full.
  • Oboho IK, Tomczyk SM, Al-Asmari AM, Banjar AA, Al-Mugti H, Aloraini MS, et al. 2014 MERS-CoV Outbreak in Jeddah ??A Link to Health Care Facilities. New England Journal of Medicine. 2015;372(9):846–854. Available from: http://dx.doi.org/10.1056/NEJMoa1408636.
  • Nishiura H, Miyamatsu Y, Chowell G, Saitoh M. Assessing the risk of observing multiple generations of Middle East respiratory syndrome (MERS) cases given an imported case. Eurosurveillance. 2015;20. Available from: http://dx.doi.org/10.2807/1560-7917.ES2015.20.27.21181.
  • Mylne A, Brady OJ, Huang Z, Pigott DM, Golding N, Kraemer MUG, et al. A comprehensive database of the geographic spread of past human Ebola outbreaks. Scientific Data. 2014;1:140042. Available from: http: //www.nature.com/articles/sdata201442.
  • Mor JJ, Sorensen DC. Computing a trust region step. SIAM Journal on Scientific and Statistical Computing. 1983;4(3):553–572.
  • Ministry of Land, Infrastructure and Transport. Public Transportation in Korea; 2011. Retrieved from: http://www.molit.go.kr/USR/NEWS/m_ 71/dtl.jsp?lcmspage=1&id=95070087.
  • Ministry of Health and Welfare. INFECTIOUS DISEASE CONTROL AND PREVENTION ACT, CHAPTER I GENERAL PROVISIONS;. Retrieved from: http://elaw.klri.re.kr/eng_service/lawView.do? hseq=29938&lang=ENG.
  • McDonald LC, Simor AE, Su IJ, Maloney S, Ofner M, Chen KT, et al. SARS in healthcare facilities, Toronto and Taiwan. Emerging infectious diseases. 2004;10(5):777.
  • Majumder MS, Rivers C, Lofgren E, Fisman D. Estimation of MERSCoronavirus Reproductive Number and Case Fatality Rate for the Spring 2014 Saudi Arabia Outbreak : Insights from Publicly Available Data. PLOS Current Outbreaks. 2014;p. 1–18.
  • Longini IM, Nizam A, Xu S, Ungchusak K, Hanshaoworakul W, Cummings DA, et al. Containing pandemic influenza at the source. Science. 2005;309(5737):1083–1087.
  • Longini IM, Halloran ME, Nizam A, Yang Y. Containing pandemic influenza with antiviral agents. American journal of epidemiology. 2004;159(7):623–633.
  • Lloyd AL, Jansen Vaa. Spatiotemporal dynamics of epidemics: Synchrony in metapopulation models. Mathematical Biosciences. 2004;188(1-2):1–16.
  • Lipsitch M, Cohen T, Cooper B, Robins JM, Ma S, James L, et al. Transmission dynamics and control of severe acute respiratory syndrome. Science (New York, NY). 2003;300(5627):1966–1970.
  • Ling LM, Chow AL, Lye DC, Tan AS, Krishnan P, Cui L, et al. Effects of early oseltamivir therapy on viral shedding in 2009 pandemic influenza A (H1N1) virus infection. Clinical Infectious Diseases. 2010;50(7):963–969.
  • Lessler J, Reich NG, Cummings DA. Outbreak of 2009 pandemic influenza A (H1N1) at a New York City school. New England Journal of Medicine. 2009;361(27):2628–2636.
  • Lee S, Golinski M, Chowell G. Modeling optimal age-specific vaccination strategies against pandemic influenza. Bulletin of mathematical biology. 2012 apr;74(4):958–80. Available from: http://www.ncbi.nlm.nih.gov/ pubmed/22147102.
  • Lee S, Castillo-Chavez C. The role of residence times in two-patch dengue transmission dynamics and optimal strategies. Journal of theoretical bi- ology. 2015;374:152–164. Available from: http://www.sciencedirect. com/science/article/pii/S0022519315001083.
  • Lee JM, Choi D, Cho G, Kim Y. The effect of public health interventions on the spread of influenza among cities. Journal of Theoretical Biology. 2012 jan;293:131–142. Available from: http://www.ncbi.nlm.nih.gov/ pubmed/22033506.
  • Lee J, Kim J, Kwon HD. Optimal control of an influenza model with seasonal forcing and age-dependent transmission rates. Journal of theoretical biology. 2013;317:310–320.
  • Lee J, Jung E. A spatial–temporal transmission model and early intervention policies of 2009 A/H1N1 influenza in South Korea. Journal of Theoretical Biology. 2015 sep;380:60–73. Available from: http: //linkinghub.elsevier.com/retrieve/pii/S0022519315002362.
  • Lee HY, Oh MN, Park YS, Chu C, Son TJ. Public health crisis preparedness and response in Korea. Osong public health and research perspectives. 2013;4(5):278–284.
  • Kwok KO, Leung GM, Lam WY, Riley S. Using models to identify routes of nosocomial infection: a large hospital outbreak of SARS in Hong Kong. Proceedings Biological sciences / The Royal Society. 2007 mar;274(1610):611–7. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi? artid=2197207{\&}tool=pmcentrez{\&}rendertype=abstract.
  • Kucharski AJ, Althaus CL. The role of superspreading in Middle East respiratory syndrome coronavirus (MERS-CoV) transmission. Euro surveillance. 2015;20(25). Available from: http://www.eurosurveillance.org/ ViewArticle.aspx?ArticleId=21167.
  • Korean Centers for Disease Control. Middle East Respriatory Syndrome– Press Release;. [Accessed 14 July 2015]. Available from: http://www. mers.go.kr/mers/html/jsp/Menu_C/list_C4.jsp.
  • Korea Centers for Disease Control and Prevetion. Infectious diseases surveillance yearbooks;. Retrieved from: http://www.cdc.go.kr.
  • Korea Centers for Disease Control and Prevention. Middle East Respiratory Syndrome Coronavirus Outbreak in the Republic of Korea, 2015. Osong Public Health and Research Perspectives. 2015;(September):1– 10. Available from: http://linkinghub.elsevier.com/retrieve/pii/ S221090991530045X.
  • Kim JH, Yoo HS, Lee JS, Lee EG, Park HK, Sung YH, et al. The spread of pandemic H1N1 2009 by age and region and the comparison among monitoring tools. Journal of Korean medical science. 2010;25(7):1109– 1112.
  • Ki M. 2015 MERS outbreak in Korea : hospital-to-hospital transmission. Epidemiology and health. 2015;37:4–7. Available from: http://dx.doi. org/10.4178/epih/e2015033.
  • Keeling MJ, Rohani P. Modeling infectious diseases in humans and animals. Princeton University Press; 2008.
  • Hyman JM, Laforce T. Modeling the spread of influenza among cities. Bioterrorism: Mathematical modeling applications in homeland security. 2003;28:211.
  • House T. Epidemiological dynamics of Ebola outbreaks. Elife. 2014;3:e03908.
  • Hethcote HW. The Mathematics of Infectious Diseases. SIAM Review. 2000;42(4):599–653. Available from: http://www.jstor.org/stable/ 2653135.
  • Herrera-Valdez M, Cruz-Aponte M, Castillo-Chavez C. Multiple outbreaks for the same pandemic: Local transportation and social distancing explain the different waves of A-H1N1pdm cases observed in M xico during 2009. Mathematical Biosciences and Engineering (MBE). 2011;8(1):21–48.
  • Hanski I. Metapopulation dynamics: brief history and conceptual domian. biological Journal of the Linnean Society. 1991;42:3–16.
  • Goh K, Cutter J, Heng B, Ma S, Koh BK, Kwok C, et al. Epidemiology and control of SARS in Singapore. ANNALS-ACADEMY OF MEDICINE SINGAPORE. 2006;35(5):301.
  • Galvani AP, May RM. Epidemiology: dimensions of superspreading. Nature. 2005 nov;438(7066):293–5. Available from: http://dx.doi.org/10. 1038/438293a.
  • Fraser C, Donnelly CA, Cauchemez S, Hanage WP, Van Kerkhove MD, Hollingsworth TD, et al. Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings. Science. 2009;324(5934):1557–1561.
  • Forstall RL, Greene RP, Pick JB. Which are the largest? Why lists of major urban areas vary so greatly. Tijdschrift voor economische en sociale geografie. 2009;100(3):277–297.
  • Fletcher R. Practical methods of optimization. John Wiley & Sons; 2013.
  • Flahault A, de Lamballerie X, Hanslik T, Salez N. Symptomatic infections less frequent with H1N1pdm than with seasonal strains. PLoS Currents. 2009 dec;1:RRN1140. Available from: http://www.ncbi.nlm.nih.gov/ pmc/articles/PMC2798104/.
  • Flahault A, Deguen S, Valleron aJ. A mathematical model for the European spread of influenza. European journal of epidemiology. 1994 aug;10(4):471–474. Available from: http://www.ncbi.nlm.nih.gov/ pubmed/7843359.
  • Ferguson NM, Cummings DA, Cauchemez S, Fraser C, Riley S, Meeyai A, et al. Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature. 2005;437(7056):209–214.
  • Efron B, Tibshirani R. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical science. 1986;p. 54–75.
  • Dobson A. Population Dynamics of Pathogens with Multiple Host Species. The American Naturalist. 2004;164(S5):S64–S78. Available from: http: //www.jstor.org/stable/10.1086/424681.
  • Diekmann O, Heesterbeek J. Mathematical epidemiology of infectious diseases. vol. 146. Wiley, Chichester; 2000.
  • Diekmann O, Heesterbeek J, Metz J. On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations. Journal of mathematical biology. 1990;28(4):365–382.
  • D vila J, Chowell G, Borja-Aburto VH, Viboud C, Mu iz CG, Miller M. Substantial Morbidity and Mortality Associated with Pandemic A/H1N1 Influenza in Mexico, Winter 2013-2014: Gradual Age Shift and Severity. PLoS currents. 2013;6.
  • Cowling BJ, Park M, Fang VJ, Wu P, Leung GM, Wu JT. Preliminary epidemiological assessment of MERS-CoV outbreak in South Korea, May to June 2015. Eurosurveillance. 2015;20(25). Available from: http:// www.eurosurveillance.org/ViewArticle.aspx?ArticleId=21163.
  • Cori A, Ferguson NM, Fraser C, Cauchemez S. A new framework and software to estimate time-varying reproduction numbers during epidemics. American journal of epidemiology. 2013;178(9):1505–1512.
  • Cooper BS, Pitman RJ, Edmunds WJ, Gay NJ;.
  • Colizza V, Barrat A, Barthelemy M, Valleron AJ, Vespignani A. Modeling the worldwide spread of pandemic influenza: baseline case and containment interventions. PLoS medicine. 2007;4(1):e13.
  • Colizza V, Barrat A, Barth lemy M, Vespignani A. The role of the airline transportation network in the prediction and predictability of global epidemics. Proceedings of the National Academy of Sciences of the United States of America. 2006;103(7):2015–2020.
  • Chowell G, Viboud C, Munayco CV, G mez J, Simonsen L, Miller MA, et al. Spatial and temporal characteristics of the 2009 A/H1N1 influenza pandemic in Peru. PLoS One. 2011;6(6):e21287.
  • Chowell G, Fenimore PW, Castillo-Garsow MA, Castillo-Chavez C. SARS outbreaks in Ontario, Hong Kong and Singapore: the role of diagnosis and isolation as a control mechanism. Journal of Theoretical Biology. 2003 sep;224(1):1–8. Available from: http://www.sciencedirect.com/ science/article/pii/S0022519303002285.
  • Chowell G, Blumberg S, Simonsen L, Miller Ma, Viboud C. Synthesizing data and models for the spread of MERS-CoV, 2013: Key role of index cases and hospital transmission. Epidemics. 2014;9:40– 51. Available from: http://linkinghub.elsevier.com/retrieve/pii/ S1755436514000607.
  • Chowell G, Ammon C, Hengartner N, Hyman J. Transmission dynamics of the great influenza pandemic of 1918 in Geneva, Switzerland: assessing the effects of hypothetical interventions. Journal of Theoretical Biology. 2006;241(2):193–204.
  • Chowell G, Abdirizak F, Lee S, Lee J, Jung E, Nishiura H, et al. Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study. BMC Medicine. 2015;13(1):210. Available from: http://www.biomedcentral.com/1741-7015/13/210.
  • Cho HW, Chu C. Outbreak of Middle East Respiratory Syndrome in Korea? Osong Public Health and Research Perspectives. 2015;6(4):219– 223. Available from: http://linkinghub.elsevier.com/retrieve/pii/ S2210909915000697.
  • Centers for Disease Control and Prevention. 2009 H1N1 flu;. Retrieved from: http://www.cdc.gov/h1n1flu/.
  • Cauchemez S, Fraser C, Van Kerkhove MD, Donnelly CA, Riley S, Rambaut A, et al. Middle East respiratory syndrome coronavirus: quantification of the extent of the epidemic, surveillance biases, and transmissibility. The Lancet Infectious diseases. 2014 jan;14(1):50– 6. Available from: http://www.sciencedirect.com/science/article/ pii/S1473309913703049.
  • Carrat F, Vergu E, Ferguson NM, Lemaitre M, Cauchemez S, Leach S, et al. Time lines of infection and disease in human influenza: a review of volunteer challenge studies. American journal of epidemiology. 2008;167(7):775–785.
  • Camacho a, Kucharski aJ, Funk S, Breman J, Piot P, Edmunds WJ. Potential for large outbreaks of Ebola virus disease. Epidemics. 2014;9:70– 78. Available from: http://dx.doi.org/10.1016/j.epidem.2014.09. 003.
  • Breban R, Riou J, Fontanet A. Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk. Lancet. 2013 aug;382(9893):694–9. Available from: http://www.sciencedirect. com/science/article/pii/S0140673613614920.
  • Brauer F. Some simple epidemic models. Mathematical biosciences and engineering MBE. 2006;3(1):1–15. Available from: http://www.ncbi. nlm.nih.gov/pubmed/20361804.
  • Boulos MN. Descriptive review of geographic mapping of severe acute respiratory syndrome (SARS) on the Internet. International Journal of Health Geographics. 2004;3(1):2.
  • Blumberg S, Lloyd-Smith JO. Inference of R0 and Transmission Heterogeneity from the Size Distribution of Stuttering Chains. PLoS Computational Biology. 2013 may;9(5):e1002993. Available from: http://dx. plos.org/10.1371/journal.pcbi.1002993.
  • Baroyan O, Rvachev L. Deterministic models of epidemics for a territory with a transport network. Cybernetics and Systems Analysis. 1967;3(3):55–61.
  • Baroyan O, Rvachev L, Basilevsky U, Ermakov V, Frank K, Rvachev M, et al. Computer modelling of influenza epidemics for the whole country (USSR). Advances in Applied Probability. 1971;3(2):224–226.
  • Banik GR, Khandaker G, Rashid H. Middle East Respiratory Syndrome Coronavirus “MERS-CoV”: Current Knowledge Gaps. Paediatric Respiratory Reviews. 2015;16(3):197–202. Available from: http://linkinghub. elsevier.com/retrieve/pii/S1526054215000317.
  • Ball F, Britton T, House T, Isham V, Mollison D, Pellis L, et al. Seven challenges for metapopulation models of epidemics, including households models. Epidemics. 2014;10:63–67. Available from: http://linkinghub. elsevier.com/retrieve/pii/S175543651400036X.
  • Balcan D, Hu H, Goncalves B, Bajardi P, Poletto C, Ramasco JJ, et al. Seasonal transmission potential and activity peaks of the new influenza A (H1N1): a Monte Carlo likelihood analysis based on human mobility. BMC medicine. 2009;7(1):45.
  • Baguelin M, Hoek AJV, Jit M, Flasche S, White PJ, Edmunds WJ. Vaccination against pandemic influenza A/H1N1v in England: a real-time economic evaluation. Vaccine. 2010 mar;28(12):2370–84. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20096762.
  • Avriel M. Nonlinear programming: analysis and methods. Courier Corporation; 2003.
  • Assiri A, McGeer A, Perl TM, Price CS, Al Rabeeah Aa, Cummings DaT, et al. Hospital outbreak of Middle East respiratory syndrome coronavirus. The New England journal of medicine. 2013;369(5):407–16. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi? artid=4029105{\&}tool=pmcentrez{\&}rendertype=abstract.
  • Arino J, Van den Driessche P. A multi-city epidemic model. Mathematical Population Studies. 2003;10(3):175–193.
  • Arino J, Davis JR, Hartley D, Jordan R, Miller JM, van Den Driessche P. A multi-species epidemic model with spatial dynamics. Mathematical Medicine and Biology. 2005;22(2):129–142.
  • Arino J, Brauer F, van den Driessche P, Watmough J, Wu J. Simple models for containment of a pandemic. Journal of The Royal Society Interface. 2006;3(8):453–457. Available from: http://rsif. royalsocietypublishing.org/content/3/8/453.abstract.
  • Arino J, Brauer F, Van Den Driessche P, Watmough J, Wu J. A model for influenza with vaccination and antiviral treatment. Journal of theoretical biology. 2008;253(1):118–130.
  • Anderson RM, May RM, Anderson B. Infectious diseases of humans: dynamics and control. vol. 28. Wiley Online Library; 1992.
  • Amiri S, Von Rosen D, Zwanzig S. On the comparison of parametric and nonparametric bootstrap. Department of Mathematics, Uppsala University; 2008.
  • Althaus CL. Estimating the reproduction number of Ebola virus (EBOV) during the 2014 outbreak in West Africa. Plos Currents Outbreaks. 2014;.