2012
DOI: 10.1093/trstmh/trs011
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Geographical distribution and spatio-temporal patterns of dengue cases in Jeddah Governorate from 2006-2008

Abstract: Our unique data with geographical coding enabled us to detect and target dengue clusters that support the use of geospatial information in infection control in Saudi Arabia and would allow for better targeting of interaction progress.

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Cited by 31 publications
(26 citation statements)
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“…These observations are in agreement with the previously published studies from the kingdom, where similar rates of dengue viral serotypes −1, −2 and −3 have been continuously observed in the Western province of the country since the first epidemic in 1994 [3, 12, 24]. Furthermore, the current data suggest that many of the IgM positive cases ( n  = 50) were at the convalescence stage of infection since not all individuals were concomitantly positive by PCR [1, 14].…”
Section: Discussionsupporting
confidence: 93%
“…These observations are in agreement with the previously published studies from the kingdom, where similar rates of dengue viral serotypes −1, −2 and −3 have been continuously observed in the Western province of the country since the first epidemic in 1994 [3, 12, 24]. Furthermore, the current data suggest that many of the IgM positive cases ( n  = 50) were at the convalescence stage of infection since not all individuals were concomitantly positive by PCR [1, 14].…”
Section: Discussionsupporting
confidence: 93%
“…The significant risk factor was being a male between 15 and 29 years of age [19]. The same two factors were also reported by two other studies, one conducted in 2006 and another in 2008 [7,20].…”
Section: Risk Factors From Studies Of Infectionssupporting
confidence: 79%
“…The same two factors were also reported by two other studies, one conducted in 2006 and another in 2008 [7,20]. The south and central-north regions were the most infected areas [19]. Lack of electricity and having water basins in the house were identified as significant risk factors for DF in the 2006 study [20].…”
Section: Risk Factors From Studies Of Infectionssupporting
confidence: 74%
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“…A Standard Deviational Ellipse (SDE) model was used in Banjar City (Rahmaniati et al, 2014). In contrast, there were numerous studies in mainland Asia applying space-time scan statistics to strengthen DF surveillance system in Malaysia (Cheong et al, 2014), Saudi Arabia (Alzahrani et al, 2013), Thailand (Jeefoo et al, 2010), Bangladesh (Banu et al, 2012), China (Li et al, 2012), andVietnam (Toan et al, 2013). Cimahi village, located in the heart of Cimahi City (Figure 1) with 15,563 persons per km 2 next to Karangmekar and Cibabat (Cimahi Municipal Bureau of Statistics, 2014), was consistently identified as a most likely cluster between 2007 and 2010 and appeared as a secondary cluster in 2011-2013.…”
Section: Discussionmentioning
confidence: 99%