OBJECTIVES: To identify and describe the distribution of dengue vectors and factors affecting this distribution in Cambodia, with a view to practicing rational, evidence-based dengue outbreak prevention activities. METHODS: Entomological survey with a questionnaire component in 100 randomly selected households in each of 13 clusters of high or low human population density of seven Cambodian provinces. Entomological and other indices were calculated, and statistical methods used to describe factors of potential outbreak risk. RESULTS: Aedes aegypti was the principle dengue vector in all clusters, making up 95.5% (20,555 of 21,325) of the Aedes pupae population. The majority of pupae were recovered either from large concrete water storage jars (16,230; 76.1%) or concrete water storage tanks (2819; 13.2%). There were small but significantly higher levels of dengue vector infestation in rural than urban areas. The mean pupae density over the survey was 16.4/house, which ranged between clusters from 5.2/house to 56.9/house. The 'pupae-per-person' index was 2.4 and 3.6 in urban and rural areas, respectively, and was independent of mean human population density or household water container distribution. CONCLUSIONS: High populations of household-associated dengue vectors were present in all surveyed clusters. The highly skewed distribution of pupae in a limited number of key containers suggests adoption and further development of community-based control measures targeting these containers holds most potential chance of controlling dengue outbreaks in Cambodia.
OBJECTIVES: To identify and describe the distribution of dengue vectors and factors affecting this distribution in Cambodia, with a view to practicing rational, evidence-based dengue outbreak prevention activities. METHODS: Entomological survey with a questionnaire component in 100 randomly selected households in each of 13 clusters of high or low human population density of seven Cambodian provinces. Entomological and other indices were calculated, and statistical methods used to describe factors of potential outbreak risk. RESULTS:Aedes aegypti was the principle dengue vector in all clusters, making up 95.5% (20,555 of 21,325) of the Aedes pupae population. The majority of pupae were recovered either from large concrete water storage jars (16,230; 76.1%) or concrete water storage tanks (2819; 13.2%). There were small but significantly higher levels of dengue vector infestation in rural than urban areas. The mean pupae density over the survey was 16.4/house, which ranged between clusters from 5.2/house to 56.9/house. The 'pupae-per-person' index was 2.4 and 3.6 in urban and rural areas, respectively, and was independent of mean human population density or household water container distribution. CONCLUSIONS: High populations of household-associated dengue vectors were present in all surveyed clusters. The highly skewed distribution of pupae in a limited number of key containers suggests adoption and further development of community-based control measures targeting these containers holds most potential chance of controlling dengue outbreaks in Cambodia.
Authors: Natarajan Arunachalam; Susilowati Tana; Fe Espino; Pattamaporn Kittayapong; Wimal Abeyewickreme; Khin Thet Wai; Brij Kishore Tyagi; Axel Kroeger; Johannes Sommerfeld; Max Petzold Journal: Bull World Health Organ Date: 2010-03 Impact factor: 9.408
Authors: Gilberto A Santiago; Kate McElroy-Horne; Niall J Lennon; Luis M Santiago; Bruce W Birren; Matthew R Henn; Jorge L Muñoz-Jordán Journal: J Infect Dis Date: 2012-06-27 Impact factor: 5.226
Authors: Alexandra Hiscox; Angela Kaye; Khamsing Vongphayloth; Ian Banks; Michele Piffer; Phasouk Khammanithong; Pany Sananikhom; Surinder Kaul; Nigel Hill; Steven W Lindsay; Paul T Brey Journal: Am J Trop Med Hyg Date: 2013-03-04 Impact factor: 2.345
Authors: Md Siddikur Rahman; Tipaya Ekalaksananan; Sumaira Zafar; Petchaboon Poolphol; Oleg Shipin; Ubydul Haque; Richard Paul; Joacim Rocklöv; Chamsai Pientong; Hans J Overgaard Journal: Int J Environ Res Public Health Date: 2021-06-02 Impact factor: 3.390