ArticleTropical medicine & international health : TM & IH2012
Space-time analysis of hospitalised dengue patients in rural Thailand reveals important temporal intervals in the pattern of dengue virus transmission.
Article in Tropical medicine & international health : TM & IH, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characterizing dengue transmission in rural areas: A systematic review.PLoS neglected tropical diseases · 2023Pooled it
- Disruption of spatiotemporal clustering in dengue cases by wMel Wolbachia in Yogyakarta, Indonesia.Scientific reports · 2022Trial
- Transmission acceleration outperforms the endemic-channel threshold for dengue outbreak detection.medRxiv : the preprint server for health sciences · 2026Article
- Comparing the Performance of Three Models Incorporating Weather Data to Forecast Dengue Epidemics in Reunion Island, 2018-2019.The Journal of infectious diseases · 2024Article
- Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019.Tropical medicine and health · 2023Article
- Global transmission suitability maps for dengue virus transmitted by Aedes aegypti from 1981 to 2019.Scientific data · 2023Article
- Assessing the role of multiple mechanisms increasing the age of dengue cases in Thailand.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Spatial-temporal clustering of an outbreak of SARS-CoV-2 Delta VOC in Guangzhou, China in 2021.Frontiers in public health · 2022Article
- Article
- Modeling the relative role of human mobility, land-use and climate factors on dengue outbreak emergence in Sri Lanka.BMC infectious diseases · 2020Article
- Correlation of the basic reproduction number (R0) and eco-environmental variables in Colombian municipalities with chikungunya outbreaks during 2014-2016.PLoS neglected tropical diseases · 2019Article
- Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals.PLoS neglected tropical diseases · 2017Article
- Zika in Rio de Janeiro: Assessment of basic reproduction number and comparison with dengue outbreaks.Epidemiology and infection · 2017Article
- Risk of travel-related cases of Zika virus infection is predicted by transmission intensity in outbreak-affected countries.Parasites & vectors · 2017Article
- Ascertaining the impact of catastrophic events on dengue outbreak: The 2014 gas explosions in Kaohsiung, Taiwan.PloS one · 2017Article
- A comparative analysis of three different methods for the estimation of the basic reproduction number of dengue.Infectious Disease Modelling · 2016Article
- Quantitative, model-based estimates of variability in the generation and serial intervals of Plasmodium falciparum malaria.Malaria journal · 2016Article
- Socio-economic and Climate Factors Associated with Dengue Fever Spatial Heterogeneity: A Worked Example in New Caledonia.PLoS neglected tropical diseases · 2015Article
- The Effects of Socioeconomic and Environmental Factors on the Incidence of Dengue Fever in the Pearl River Delta, China, 2013.PLoS neglected tropical diseases · 2015Article
- A dengue outbreak on a floating village at Cat Ba Island in Vietnam.BMC public health · 2015Article
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11 authors.
Funding
Abstract
objectiveTo determine the temporal intervals at which spatial clustering of dengue hospitalisations occurs.
methodsSpace-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.
resultsThe 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.
conclusionsFifteen 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.
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