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Dynamic of the 2011-2012 Hand, Foot and Mouth Disease in Hai Phong city, Vietnam
Patrice Ravel  1@  , Emmanuel Cornillot  2, 3, *@  , Roger Frutos  4, *@  , Nghia Ngu Duy  5, *@  , Laurent Gavotte  6, *@  
1 : Vignette actu Centre d'études d'agents Pathogènes et Biotechnologies pour la Santé  (CPBS)  -  Site web
CNRS : UMR5236
2 : LBCM, EA4558, Univ. Montpellier I
Université Montpellier I : EA4558
3 : Centre d'études d'agents Pathogènes et Biotechnologies pour la Santé  (CPBS)
Université Montpellier II - Sciences et techniques, CNRS : UMR5236, Université Montpellier I
Institut de Biologie CS 69033 4 boulevard Henri IV 34965 MONTPELLIER Cedex 2 -  France
4 : CIRAD  (TA-A17/G)
Centre de coopération internationale en recherche agronomique pour le développement [CIRAD]
5 : National Institute of Hygiene and Epidemiology
6 : Institut des Sciences de l'Evolution - Montpellier  (ISEM)  -  Site web
CNRS : UMR5554, Institut de recherche pour le développement [IRD] : UMR226, Université Montpellier II - Sciences et techniques
Place E. Bataillon CC 064 34095 Montpellier Cedex 05 -  France
* : Auteur correspondant

 

Hand, foot and mouth disease (HFMD) is an acute febrile illness in children with a papulovesicular skin rash at the palms or soles of the feet, or both. HFMD is caused by members of Human Enterovirus A family of viruses which include Coxsackievirus A (CVA) and Human Enterovirus 71 (EV71). A large scale HFMD epidemic was reported for the first time between 2011 and 2012 in Northern Vietnam. We focus our attention on the large city-harbour of Hai Phong.

Two main aspects were studied.

 The first consisted of determining and understanding the high level of diversity of the clinical signs using the three most solid clinical quantitative parameters; i.e., age, severity score and delay of time of onset to admission from the clinical data set of the 10000 observed cases. A hierarchical classification approach was used to cluster the patients into groups of common symptoms and analyze their distribution over the span of the epidemic. The second consisted in analyzing the spread of HFMD according to time and space. The commune is the smallest subdivision of Hai Phong City. Using the commune for geographical localization and the time distribution of the detected cases, recording was done in Geographic Information System (QGIS). The data were used to create a graph that modelised the outbreak of HFMD. Numerical analyses were investigated to determine some group of communes that presented similarities concerning the spatial dynamic of HFMD.

 


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