OBJECTIVE: To determine the temporal intervals at which spatial clustering of dengue hospitalisations occurs. METHODS: Space-time analysis of 262 people hospitalised 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 (2-5 days). The highest excess risk was observed within 200 m of a previous hospitalised case and significantly elevated risk persisted within this distance for 32-34 days. CONCLUSIONS: Fifteen to seventeen days are the most likely serial interval between successive dengue illnesses. This novel method relies only on passively detected, hospitalised case data with household locations and provides a useful tool for understanding region-specific and outbreak-specific dengue virus transmission dynamics.
OBJECTIVE: To determine the temporal intervals at which spatial clustering of dengue hospitalisations occurs. METHODS: Space-time analysis of 262 people hospitalised 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 (2-5 days). The highest excess risk was observed within 200 m of a previous hospitalised case and significantly elevated risk persisted within this distance for 32-34 days. CONCLUSIONS: Fifteen to seventeen days are the most likely serial interval between successive dengue illnesses. This novel method relies only on passively detected, hospitalised case data with household locations and provides a useful tool for understanding region-specific and outbreak-specific dengue virus transmission dynamics.
Authors: L C Harrington; J P Buonaccorsi; J D Edman; A Costero; P Kittayapong; G G Clark; T W Scott Journal: J Med Entomol Date: 2001-07 Impact factor: 2.278
Authors: D W Vaughn; S Green; S Kalayanarooj; B L Innis; S Nimmannitya; S Suntayakorn; A L Rothman; F A Ennis; A Nisalak Journal: J Infect Dis Date: 1997-08 Impact factor: 5.226
Authors: Ananda Nisalak; Timothy P Endy; Suchitra Nimmannitya; Siripen Kalayanarooj; Usa Thisayakorn; Robert M Scott; Donald S Burke; Charles H Hoke; Bruce L Innis; David W Vaughn Journal: Am J Trop Med Hyg Date: 2003-02 Impact factor: 2.345
Authors: Timothy P Endy; Ananda Nisalak; Supamit Chunsuttitwat; David W Vaughn; Sharone Green; Francis A Ennis; Alan L Rothman; Daniel H Libraty Journal: J Infect Dis Date: 2004-03-01 Impact factor: 5.226
Authors: Kathryn A Hanley; Jacob T Nelson; Erin E Schirtzinger; Stephen S Whitehead; Christopher T Hanson Journal: BMC Ecol Date: 2008-02-13 Impact factor: 2.964
Authors: Amy Wesolowski; Taimur Qureshi; Maciej F Boni; Pål Roe Sundsøy; Michael A Johansson; Syed Basit Rasheed; Kenth Engø-Monsen; Caroline O Buckee Journal: Proc Natl Acad Sci U S A Date: 2015-09-08 Impact factor: 11.205
Authors: Robert C Reiner; Steven T Stoddard; Brett M Forshey; Aaron A King; Alicia M Ellis; Alun L Lloyd; Kanya C Long; Claudio Rocha; Stalin Vilcarromero; Helvio Astete; Isabel Bazan; Audrey Lenhart; Gonzalo M Vazquez-Prokopec; Valerie A Paz-Soldan; Philip J McCall; Uriel Kitron; John P Elder; Eric S Halsey; Amy C Morrison; Tadeusz J Kochel; Thomas W Scott Journal: Proc Natl Acad Sci U S A Date: 2014-05-20 Impact factor: 11.205
Authors: Angkana T Huang; Saki Takahashi; Henrik Salje; Lin Wang; Bernardo Garcia-Carreras; Kathryn Anderson; Timothy Endy; Stephen Thomas; Alan L Rothman; Chonticha Klungthong; Anthony R Jones; Stefan Fernandez; Sopon Iamsirithaworn; Pawinee Doung-Ngern; Isabel Rodriguez-Barraquer; Derek A T Cummings Journal: Proc Natl Acad Sci U S A Date: 2022-05-09 Impact factor: 12.779
Authors: D A M Villela; L S Bastos; L M DE Carvalho; O G Cruz; M F C Gomes; B Durovni; M C Lemos; V Saraceni; F C Coelho; C T Codeço Journal: Epidemiol Infect Date: 2017-02-27 Impact factor: 4.434
Authors: Elaine O Nsoesie; R Paul Ricketts; Heidi E Brown; Durland Fish; David P Durham; Martial L Ndeffo Mbah; Trudy Christian; Shalauddin Ahmed; Clement Marcellin; Ellen Shelly; Katharine Owers; Natasha Wenzel; Alison P Galvani; John S Brownstein Journal: PLoS Negl Trop Dis Date: 2015-08-14
Authors: Thanh Le Viet; Marc Choisy; Juliet E Bryant; Duoc Vu Trong; Thai Pham Quang; Peter Horby; Hien Nguyen Tran; Huong Tran Thi Kieu; Trung Nguyen Vu; Kinh Nguyen Van; Mai Le Quynh; Heiman F L Wertheim Journal: BMC Public Health Date: 2015-09-22 Impact factor: 3.295