title: [Incorporation of geostatistical methodology for influenza surveillance in a sentinel network].
abstract: OBJECTIVE
  To evaluate geostatistical description of influenza data from the Valencian Sentinel Network (VSN) in Spain using the kringing method and to assess the possibility of incorporating this method into routine surveillance.
  
  
  METHODS
  We use influenza surveillance data on three influenza seasons (1997-1998, 1998-1999 and 1999-2000) from the VSN to construct a geocodified data matrix of the incidence of this disease. The geographic distribution was studied using the kringing method, which enables estimation of the incidence in a few strategically distributed points. Influenza isoincidence maps for each week were plotted. Cross validation was used to evaluate the method.
  
  
  RESULTS
  In most of the weeks, the values of reduced standard deviation and reduced mean were close to the optimal values (0 and 1, respectively). Out of range reduced standard deviation values were found in 12 of 20 weeks in the last season only. The estimation of rates in all three seasons showed coherence in spatial distribution and temporal evolution.
  
  
  CONCLUSIONS
  In most situations the results were acceptable. The method does not require extra computer resources or an excessive amount of time and requires only annual adaptation. Because it is easy to use, the technique is appropriate for routine use but the accuracy of estimations could be improved by increasing the complexity of the model.
authors.affiliation: Servicio de Epidemiología, Dirección General para la Salud Pública, Conselleria de Sanitat, Generalitat Valenciana, Spain.
authors.forename: J J
authors.initials: JJ
authors.lastname: Abellán
authors.forename: O
authors.initials: O
authors.lastname: Zurriaga
authors.forename: M A
authors.initials: MA
authors.lastname: Martínez-Beneito
authors.forename: J
authors.initials: J
authors.lastname: Peñalver
authors.forename: T
authors.initials: T
authors.lastname: Molins
mesh_terms: D040362:Geographic Information Systems; D006801:Humans; D007251:Influenza, Human / Q000453:epidemiology* / Q000517:prevention & control*; D018571:Sentinel Surveillance; D013030:Spain