Space-time analysis of hospitalised dengue patients in rural Thailand reveals important temporal intervals in the pattern of dengue virus transmission; L'analyse spatio-temporelle des patients hospitalisés souffrant de dengue dans les zones rurales de Thaïlande révèle d'importants intervalles temporels dans le mode de transmission du virus de la dengue; El análisis espacio-temporal de pacientes hospitalizados con dengue en áreas rurales de Tailandia revela importantes intervalos temporales en el

Objective: To determine the temporal intervals at which spatial clustering of dengue hospitalizations occurs. Methods: Space-time analysis of 262 people hospitalized and serologically confirmed with dengue virus infections in Kamphaeng Phet, Thailand was performed. The cases were observed between 1...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Tropical medicine & international health 2012-09, Vol.17 (9), p.1076
Hauptverfasser: Aldstadt, Jared, Yoon, In-Kyu, Tannitisupawong, Darunee, Jarman, Richard G, Thomas, Stephen J, Gibbons, Robert V, Uppapong, Angkana, Iamsirithaworn, Sopon, Rothman, Alan L, Scott, Thomas W, Endy, Timothy
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Objective: To determine the temporal intervals at which spatial clustering of dengue hospitalizations occurs. Methods: Space-time analysis of 262 people hospitalized and serologically confirmed with dengue virus infections in Kamphaeng Phet, Thailand was performed. The cases were observed between 1 January 2009 and 6 May 2011. Spatial coordinates of each patient's home were captured using the Global Positioning System. A novel method based on the Knox test was used to determine the temporal intervals between cases at which spatial clustering occurred. These intervals are indicative of the length of time between successive illnesses in the chain of dengue virus transmission. Results: The strongest spatial clustering occurred at the 15-17-day interval. There was also significant spatial clustering over short intervals (2-5days). The highest excess risk was observed within 200m of a previous hospitalized case and significantly elevated risk persisted within this distance for 32-34days. Conclusions: Fifteen to seventeen days are the most likely serial interval between successive dengue illnesses. This novel method relies only on passively detected, hospitalized case data with household locations and provides a useful tool for understanding region-specific and outbreak-specific dengue virus transmission dynamics.[PUBLICATION ABSTRACT]
ISSN:1360-2276
1365-3156
DOI:10.1111/j.1365-3156.2012.03040.x