Elucidating Transmission Patterns From Internet Reports: Ebola and Middle East Respiratory Syndrome as Case Studies
Identifieur interne : 001281 ( Main/Exploration ); précédent : 001280; suivant : 001282Elucidating Transmission Patterns From Internet Reports: Ebola and Middle East Respiratory Syndrome as Case Studies
Auteurs : Gerardo Chowell [États-Unis] ; Julie M. Cleaton ; Cecile Viboud [États-Unis]Source :
- The Journal of Infectious Diseases [ 0022-1899 ] ; 2016.
Descripteurs français
- KwdFr :
- Afrique de l'Ouest (épidémiologie), Analyse spatio-temporelle, Collecte de données, Fièvre hémorragique à virus Ebola (transmission), Fièvre hémorragique à virus Ebola (épidémiologie), Humains, Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Internet, Nombre de reproduction de base, République de Corée (épidémiologie), Épidémiosurveillance.
- MESH :
English descriptors
- KwdEn :
- Africa, Western (epidemiology), Basic Reproduction Number, Coronavirus Infections (epidemiology), Coronavirus Infections (transmission), Data Collection, Epidemiological Monitoring, Hemorrhagic Fever, Ebola (epidemiology), Hemorrhagic Fever, Ebola (transmission), Humans, Internet, Republic of Korea (epidemiology), Spatio-Temporal Analysis.
- MESH :
Abstract
The paucity of traditional epidemiological data during epidemic emergencies calls for alternative data streams to characterize the key features of an outbreak, including the nature of risky exposures, the reproduction number, and transmission heterogeneities. We illustrate the potential of Internet data streams to improve preparedness and response in outbreak situations by drawing from recent work on the 2014–2015 Ebola epidemic in West Africa and the 2015 Middle East respiratory syndrome (MERS) outbreak in South Korea. We show that Internet reports providing detailed accounts of epidemiological clusters are particularly useful to characterize time trends in the reproduction number. Moreover, exposure patterns based on Internet reports align with those derived from epidemiological surveillance data on MERS and Ebola, underscoring the importance of disease amplification in hospitals and during funeral rituals (associated with Ebola), prior to the implementation of control interventions. Finally, we discuss future developments needed to generalize Internet-based approaches to study transmission dynamics.
Url:
DOI: 10.1093/infdis/jiw356
PubMed: 28830110
PubMed Central: 5144900
Affiliations:
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Le document en format XML
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We illustrate the potential of Internet data streams to improve preparedness and response in outbreak situations by drawing from recent work on the 2014–2015 Ebola epidemic in West Africa and the 2015 Middle East respiratory syndrome (MERS) outbreak in South Korea. We show that Internet reports providing detailed accounts of epidemiological clusters are particularly useful to characterize time trends in the reproduction number. Moreover, exposure patterns based on Internet reports align with those derived from epidemiological surveillance data on MERS and Ebola, underscoring the importance of disease amplification in hospitals and during funeral rituals (associated with Ebola), prior to the implementation of control interventions. Finally, we discuss future developments needed to generalize Internet-based approaches to study transmission dynamics.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Metcalf, Cj" uniqKey="Metcalf C">CJ Metcalf</name></author><author><name sortKey="Edmunds, Wj" uniqKey="Edmunds W">WJ Edmunds</name></author><author><name sortKey="Lessler, J" uniqKey="Lessler J">J Lessler</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Van Panhuis, Wg" uniqKey="Van Panhuis W">WG van Panhuis</name></author><author><name sortKey="Paul, P" uniqKey="Paul P">P Paul</name></author><author><name sortKey="Emerson, C" uniqKey="Emerson C">C Emerson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Salathe, M" uniqKey="Salathe M">M Salathe</name></author><author><name sortKey="Bengtsson, L" uniqKey="Bengtsson L">L Bengtsson</name></author><author><name sortKey="Bodnar, Tj" uniqKey="Bodnar 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Viboud</name></author><author><name sortKey="Simonsen, L" uniqKey="Simonsen L">L Simonsen</name></author><author><name sortKey="Chowell, G" uniqKey="Chowell G">G Chowell</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chowell, G" uniqKey="Chowell G">G Chowell</name></author><author><name sortKey="Sattenspiel, L" uniqKey="Sattenspiel L">L Sattenspiel</name></author><author><name sortKey="Bansal, S" uniqKey="Bansal S">S Bansal</name></author><author><name sortKey="Viboud, C" uniqKey="Viboud C">C Viboud</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Brownstein, Js" uniqKey="Brownstein J">JS Brownstein</name></author><author><name sortKey="Freifeld, Cc" uniqKey="Freifeld C">CC Freifeld</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chunara, R" uniqKey="Chunara R">R Chunara</name></author><author><name sortKey="Andrews, Jr" uniqKey="Andrews J">JR Andrews</name></author><author><name sortKey="Brownstein, Js" uniqKey="Brownstein J">JS Brownstein</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bahk, Cy" uniqKey="Bahk C">CY Bahk</name></author><author><name sortKey="Scales, Da" uniqKey="Scales D">DA Scales</name></author><author><name sortKey="Mekaru, Sr" uniqKey="Mekaru S">SR Mekaru</name></author><author><name sortKey="Brownstein, Js" uniqKey="Brownstein J">JS Brownstein</name></author><author><name sortKey="Freifeld, Cc" uniqKey="Freifeld C">CC Freifeld</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Majumder, Ms" uniqKey="Majumder M">MS Majumder</name></author><author><name sortKey="Kluberg, S" uniqKey="Kluberg S">S Kluberg</name></author><author><name sortKey="Santillana, M" uniqKey="Santillana M">M Santillana</name></author><author><name sortKey="Mekaru, S" uniqKey="Mekaru S">S Mekaru</name></author><author><name sortKey="Brownstein, Js" uniqKey="Brownstein J">JS Brownstein</name></author></analytic></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Maryland</li></region></list><tree><noCountry><name sortKey="Cleaton, Julie M" sort="Cleaton, Julie M" uniqKey="Cleaton J" first="Julie M." last="Cleaton">Julie M. Cleaton</name></noCountry><country name="États-Unis"><region name="Maryland"><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name></region><name sortKey="Viboud, Cecile" sort="Viboud, Cecile" uniqKey="Viboud C" first="Cecile" last="Viboud">Cecile Viboud</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a MersV1
| This area was generated with Dilib version V0.6.33. |  |