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References

  • 1
    Hulth A, Rydevik G, Linde A. Web queries as a source for syndromic surveillance. PLoS One 2009; 4: e4378.
  • 2
    Galbraith NS, Forbes P, Mayon-White RT. Changing patterns of communicable disease in England and Wales: part II—Disappearing and declining diseases. Br Med J 1980; 281: 489492.
  • 3
    Gottlieb MS, Schroff R, Schanker HM et al. Pneumocystis carinii pneumonia and mucosal candidiasis in previously healthy homosexual men: evidence of a new acquired cellular immunodeficiency. N Engl J Med 1981; 305: 14251431.
  • 4
    Parwati I, van Crevel R, van Soolingen D. Possible underlying mechanisms for successful emergence of the Mycobacterium tuberculosis Beijing genotype strains. Lancet Infect Dis 2010; 10: 103111.
  • 5
    Shrestha SS, Swerdlow DL, Borse RH et al. Estimating the burden of 2009 pandemic influenza A (H1N1) in the United States (April 2009–April 2010). Clin Infect Dis 2011; 52(suppl 1): S75S82.
  • 6
    Nougairede A, Charrel RN, Raoult D. Models cannot predict future outbreaks: A/H1N1 virus, the paradigm. Eur J Epidemiol 2011; 26: 183186.
  • 7
    Casalegno JS, Ottmann M, Duchamp MB et al. Rhinoviruses delayed the circulation of the pandemic influenza A (H1N1) 2009 virus in France. Clin Microbiol Infect 2010; 16: 326329.
  • 8
    Raoult D. Microbe interactions undermine predictions. Science 2011; 331: 144145; author reply 5–7.
  • 9
    Bosch AA, Biesbroek G, Trzcinski K, Sanders EA, Bogaert D. Viral and bacterial interactions in the upper respiratory tract. PLoS Pathog 2013; 9: e1003057.
  • 10
    Lengeler C. Insecticide-treated bed nets and curtains for preventing malaria. Cochrane Database Syst Rev 2004; 2: CD000363.
  • 11
    Trape JF, Tall A, Diagne N et al. Malaria morbidity and pyrethroid resistance after the introduction of insecticide-treated bednets and artemisinin-based combination therapies: a longitudinal study. Lancet Infect Dis 2011; 11: 925932.
  • 12
    Reiner RC Jr, Perkins TA, Barker CM et al. A systematic review of mathematical models of mosquito-borne pathogen transmission: 1970–2010. J R Soc Interface 2013; 10: 20120921.
  • 13
    Paul M. Are we losing the fight against malaria one more time? Clin Microbiol Infect 2011; 17: 15931596.
  • 14
    Hendriksen RS, Price LB, Schupp JM et al. Population genetics of Vibrio cholerae from Nepal in 2010: evidence on the origin of the Haitian outbreak. MBio 2011; 2: e00157-11.
  • 15
    Stich A, Barrett MP, Krishna S. Waking up to sleeping sickness. Trends Parasitol 2003; 19: 195197.
  • 16
    Morse SS, Mazet JA, Woolhouse M et al. Prediction and prevention of the next pandemic zoonosis. Lancet 2012; 380: 19561965.
  • 17
    McMichael AJ. Globalization, climate change, and human health. N Engl J Med 2013; 368: 13351343.
  • 18
    Kilpatrick AM, Meola MA, Moudy RM, Kramer LD. Temperature, viral genetics, and the transmission of West Nile virus by Culex pipiens mosquitoes. PLoS Pathog 2008; 4: e1000092.
  • 19
    Zhou XN, Yang GJ, Yang K et al. Potential impact of climate change on schistosomiasis transmission in China. Am J Trop Med Hyg 2008; 78: 188194.
  • 20
    Barber BE, William T, Dhararaj P et al. Epidemiology of Plasmodium knowlesi malaria in north-east Sabah, Malaysia: family clusters and wide age distribution. Malar J 2012; 11: 401.
  • 21
    Wearing HJ, Rohani P, Keeling MJ. Appropriate models for the management of infectious diseases. PLoS Med 2005; 2: e174.
  • 22
    Barskey AE, Schulte C, Rosen JB et al. Mumps outbreak in Orthodox Jewish communities in the United States. N Engl J Med 2012; 367: 17041713.
  • 23
    Lipsitch M, Cohen T, Cooper B et al. Transmission dynamics and control of severe acute respiratory syndrome. Science 2003; 300: 19661970.
  • 24
    Glasser JW, Hupert N, McCauley MM, Hatchett R. Modeling and public health emergency responses: lessons from SARS. Epidemics 2011; 3: 3237.
  • 25
    Dye C, Gay N. Epidemiology. Modeling the SARS epidemic. Science 2003; 300: 18841885.
  • 26
    Louz D, Bergmans HE, Loos BP, Hoeben RC. Emergence of viral diseases: mathematical modeling as a tool for infection control, policy and decision making. Crit Rev Microbiol 2010; 36: 195211.
  • 27
    Bregman DJ, Langmuir AD. Farr's law applied to AIDS projections. JAMA 1990; 263: 15221525.
  • 28
    Nishiura H. Lessons from previous predictions of HIV/AIDS in the United States and Japan: epidemiologic models and policy formulation. Epidemiol Perspect Innov 2007; 4: 3. DOI: 10.1186/1742-5573-4-3.
  • 29
    Artzrouni M. AIDS projections: how Farr out? JAMA 1990; 264: 11031104.
  • 30
    Meltzer MI, Damon I, LeDuc JW, Millar JD. Modeling potential responses to smallpox as a bioterrorist weapon. Emerg Infect Dis 2001; 7: 959969.
  • 31
    Telfer S, Lambin X, Birtles R et al. Species interactions in a parasite community drive infection risk in a wildlife population. Science 2010; 330: 243246.
  • 32
    Raoult D. Molecular, epidemiological, and clinical complexities of predicting patterns of infectious diseases. Front Microbiol 2011; 2: 25.
  • 33
    Abrams JY, Copeland JR, Tauxe RV et al. Real-time modelling used for outbreak management during a cholera epidemic, Haiti, 2010–2011. Epidemiol Infect 2013; 141: 12761285.