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Volumn 14, Issue 1, 2014, Pages 6-7

The epidemiology of MERS-CoV

Author keywords

[No Author keywords available]

Indexed keywords

CORONAVIRUS INFECTION; DISEASE ACTIVITY; DISEASE CLASSIFICATION; EMPORIATRICS; EPIDEMIC; HUMAN; INCIDENCE; INFECTION CONTROL; INFECTION RISK; LETTER; LUNG INFECTION; MIDDLE EAST; MIDDLE EASTERN RESPIRATORY SYNDROME; PRIORITY JOURNAL; PUBLIC HEALTH; SUSCEPTIBLE POPULATION; TOURISM; TRAVEL;

EID: 84890431766     PISSN: 14733099     EISSN: 14744457     Source Type: Journal    
DOI: 10.1016/S1473-3099(13)70283-4     Document Type: Letter
Times cited : (11)

References (11)
  • 1
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    • The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis
    • New York City Swine Flu Investigation Team
    • Presanis AM, De Angelis D, et al. The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis. PLoS Med 2009, 6:e1000207. New York City Swine Flu Investigation Team.
    • (2009) PLoS Med , vol.6
    • Presanis, A.M.1    De Angelis, D.2
  • 2
    • 84880307217 scopus 로고    scopus 로고
    • Human infection with avian influenza A H7N9 virus: an assessment of clinical severity
    • Yu H, Cowling BJ, Feng L, et al. Human infection with avian influenza A H7N9 virus: an assessment of clinical severity. Lancet 2013, 382:138-145.
    • (2013) Lancet , vol.382 , pp. 138-145
    • Yu, H.1    Cowling, B.J.2    Feng, L.3
  • 3
    • 84884764919 scopus 로고    scopus 로고
    • Taking stock of the first 133 MERS coronavirus cases globally-Is the epidemic changing?
    • Penttinen P, Kaasik-Aaslav K, Friaux A, et al. Taking stock of the first 133 MERS coronavirus cases globally-Is the epidemic changing?. Euro Surveill 2013, 18:20596.
    • (2013) Euro Surveill , vol.18 , pp. 20596
    • Penttinen, P.1    Kaasik-Aaslav, K.2    Friaux, A.3
  • 5
    • 84890433761 scopus 로고    scopus 로고
    • Middle East respiratory syndrome coronavirus: quantification of the extent of the epidemic, surveillance biases, and transmissibility
    • published online Nov 13.
    • Cauchemez S, Fraser C, Van Kerkhove MD, et al. Middle East respiratory syndrome coronavirus: quantification of the extent of the epidemic, surveillance biases, and transmissibility. Lancet Infect Dis 2013, published online Nov 13. http://dx.doi.org/10.1016/S1473-3099(13)70304-9.
    • (2013) Lancet Infect Dis
    • Cauchemez, S.1    Fraser, C.2    Van Kerkhove, M.D.3
  • 6
    • 68549089174 scopus 로고    scopus 로고
    • Modelling an influenza pandemic: a guide for the perplexed
    • Pandemic Influenza Outbreak Research Modelling Team
    • Fisman T Modelling an influenza pandemic: a guide for the perplexed. CMAJ 2009, 181:171-173. Pandemic Influenza Outbreak Research Modelling Team.
    • (2009) CMAJ , vol.181 , pp. 171-173
    • Fisman, T.1
  • 7
    • 84882918127 scopus 로고    scopus 로고
    • Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk
    • Breban R, Riou J, Fontanet A Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk. Lancet 2013, 382:694-699.
    • (2013) Lancet , vol.382 , pp. 694-699
    • Breban, R.1    Riou, J.2    Fontanet, A.3
  • 8
    • 84890427387 scopus 로고    scopus 로고
    • ProMED Mail, PRO/AH/EDR> MERS-CoV - Eastern Mediterranean (11): Saudi Arabia, new death. [4] Transmissibility and cluster sizes. ProMED-mail 2013; May 27: 20130527.1738597. (accessed Sept 7,).
    • ProMED Mail, PRO/AH/EDR> MERS-CoV - Eastern Mediterranean (11): Saudi Arabia, new death. [4] Transmissibility and cluster sizes. ProMED-mail 2013; May 27: 20130527.1738597. (accessed Sept 7, 2013). http://www.promedmail.org.
    • (2013)
  • 9
    • 39749182263 scopus 로고    scopus 로고
    • HealthMap: the development of automated real-time internet surveillance for epidemic intelligence
    • Brownstein JS, Freifeld CC HealthMap: the development of automated real-time internet surveillance for epidemic intelligence. Euro Surveill 2007, 12:E0711295.
    • (2007) Euro Surveill , vol.12
    • Brownstein, J.S.1    Freifeld, C.C.2
  • 10
    • 84862497423 scopus 로고    scopus 로고
    • Can Twitter predict disease outbreaks?
    • St Louis C, Zorlu G Can Twitter predict disease outbreaks?. BMJ 2012, 344:e2353.
    • (2012) BMJ , vol.344
    • St Louis, C.1    Zorlu, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.