Characterizing Ebola Transmission Patterns Based on Internet News Reports

被引:33
作者
Cleaton, Julie M. [1 ,2 ]
Viboud, Cecile [3 ]
Simonsen, Lone [3 ,4 ,5 ]
Hurtado, Ana M. [2 ]
Chowell, Gerardo [1 ,3 ]
机构
[1] Georgia State Univ, Sch Publ Hlth, Atlanta, GA 30303 USA
[2] Arizona State Univ, Coll Liberal Arts & Sci, Tempe, AZ USA
[3] NIH, Div Int Epidemiol & Populat Studies, Fogarty Int Ctr, Bldg 10, Bethesda, MD 20892 USA
[4] Univ Copenhagen, Dept Publ Hlth, DK-1168 Copenhagen, Denmark
[5] George Washington Univ, Sch Publ Hlth, Milken Inst, Dept Global Hlth, Washington, DC USA
基金
美国国家科学基金会; 英国生物技术与生命科学研究理事会; 美国国家卫生研究院;
关键词
Ebola; transmission patterns; West Africa; hospital transmission; funeral transmission; VIRUS DISEASE OUTBREAK; RISK-FACTORS; HEMORRHAGIC-FEVER; DYNAMICS; NIGERIA; CONGO;
D O I
10.1093/cid/civ748
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background. Detailed information on patient exposure, contact patterns, and discharge status is rarely available in real time from traditional surveillance systems in the context of an emerging infectious disease outbreak. Here, we validate the systematic collection of Internet news reports to characterize epidemiological patterns of Ebola virus disease (EVD) infections during the West African 2014-2015 outbreak. Methods. Based on 58 news reports, we analyzed 79 EVD clusters (286 cases) ranging in size from 1 to 33 cases between January 2014 and February 2015 in Guinea, Sierra Leone, and Liberia. Results. The majority of reported exposures stemmed from contact with family members (57.3%) followed by hospitals (18.2%) and funerals (12.7%). Our data indicate that funeral exposure was significantly more frequent in Sierra Leone (27.3%) followed by Guinea (18.2%) and Liberia (1.8%; chi(2) test; P < .0001). Funeral exposure was the dominant route of transmission until April 2014 (60%) and was replaced with hospital exposure in June 2014-July 2014 (70%), both of which declined after interventions were put in place. The mean reproduction number of the outbreak was 2.3 (95% confidence interval [CI], 1.8, 2.7). The case fatality rate was estimated at 74.4% (95% CI, 68.3, 79.8). Conclusions. Overall, our findings based on news reports are in close agreement with those derived from traditional epidemiological surveillance data and with those reported for prior outbreaks. Our findings support the use of real-time information from trustworthy news reports to provide timely estimates of key epidemiological parameters that may be hard to ascertain otherwise.
引用
收藏
页码:24 / 31
页数:8
相关论文
共 32 条
[11]   Transmission dynamics and control of Ebola virus disease (EVD): a review [J].
Chowell, Gerardo ;
Nishiura, Hiroshi .
BMC MEDICINE, 2014, 12
[12]   Social and News Media Enable Estimation of Epidemiological Patterns Early in the 2010 Haitian Cholera Outbreak [J].
Chunara, Rumi ;
Andrews, Jason R. ;
Brownstein, John S. .
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2012, 86 (01) :39-45
[13]   Epidemiology and Risk Factors for Ebola Virus Disease in Sierra Leone-23 May 2014 to 31 January 2015 [J].
Dietz, Patricia M. ;
Jambai, Amara ;
Paweska, Janusz T. ;
Yoti, Zabulon ;
Ksaizek, Thomas G. .
CLINICAL INFECTIOUS DISEASES, 2015, 61 (11) :1648-1654
[14]   Transmission of Ebola hemorrhagic fever: A study of risk factors in family members, Kikwit, Democratic Republic of the Congo, 1995 [J].
Dowell, SF ;
Mukunu, R ;
Ksiazek, TG ;
Khan, AS ;
Rollin, PE ;
Peters, CJ .
JOURNAL OF INFECTIOUS DISEASES, 1999, 179 :S87-S91
[15]   Transmission dynamics and control of Ebola virus disease outbreak in Nigeria, July to September 2014 [J].
Fasina, F. O. ;
Shittu, A. ;
Lazarus, D. ;
Tomori, O. ;
Simonsen, L. ;
Viboud, C. ;
Chowell, G. .
EUROSURVEILLANCE, 2014, 19 (40) :11-17
[16]   Chains of transmission and control of Ebola virus disease in Conakry, Guinea, in 2014: an observational study [J].
Faye, Ousmane ;
Boelle, Pierre-Yves ;
Heleze, Emmanuel ;
Faye, Oumar ;
Loucoubar, Cheikh ;
Magassouba, N'Faly ;
Soropogui, Barre ;
Keita, Sakoba ;
Gakou, Tata ;
Bah, El Hadji Ibrahima ;
Koivogui, Lamine ;
Sall, Amadou Alpha ;
Cauchemez, Simon .
LANCET INFECTIOUS DISEASES, 2015, 15 (03) :320-326
[17]   Ebola hemorrhagic fever transmission and risk factors of contacts, Uganda [J].
Francesconi, P ;
Yoti, Z ;
Declich, S ;
Onek, PA ;
Fabiani, M ;
Olango, J ;
Andraghetti, R ;
Rollin, PE ;
Opira, C ;
Greco, D ;
Salmaso, S .
EMERGING INFECTIOUS DISEASES, 2003, 9 (11) :1430-1437
[18]   The Parable of Google Flu: Traps in Big Data Analysis [J].
Lazer, David ;
Kennedy, Ryan ;
King, Gary ;
Vespignani, Alessandro .
SCIENCE, 2014, 343 (6176) :1203-1205
[19]   Understanding the dynamics of Ebola epidemics [J].
Legrand, J. ;
Grais, R. F. ;
Boelle, P. Y. ;
Valleron, A. J. ;
Flahault, A. .
EPIDEMIOLOGY AND INFECTION, 2007, 135 (04) :610-621
[20]   Superspreading and the effect of individual variation on disease emergence [J].
Lloyd-Smith, JO ;
Schreiber, SJ ;
Kopp, PE ;
Getz, WM .
NATURE, 2005, 438 (7066) :355-359