02524nas a2200277 4500000000100000008004100001653003900042653001100081653002200092653001700114653001300131653002300144653001100167100001300178700001400191700001200205700001200217700001500229700001300244700001300257245010700270856003300377300000800410490000700418520182100425 2018 d10aNeglected tropical diseases (NTDs)10aDengue10aSocio-demographic10adeterminants10aTanzania10aDar es Salaam City10aAfrica1 aCamara N1 aNgasala B1 aLeyna G1 aAbade A1 aRumisha SF1 aOriyo NM1 aMboera L00aSocio-demographic determinants of dengue infection during an outbreak in Dar es Salaam City, Tanzania. uhttps://tinyurl.com/yda85fc4 a1-70 v203 a

Background: In recent years, the eastern coast of Africa has witnessed a number of dengue outbreaks. This study was carried out to determine socio-demographic determinants of dengue infection during the 2014 outbreak in Dar es Salaam, Tanzania.

Methods: Unmatched case-control analysis of secondary data from a cross-sectional dengue investigation in three districts of Dar es Salaam in June 2014 was conducted. Febrile patients seeking care at health facilities were recruited. Cases were serologically-confirmed dengue-positive while controls were serologically-confirmed dengue-negative patients. A questionnaire was used to collect sociodemographic information. The association between sociodemographic variables and dengue infection was examined using univariate analysis and multivariate logistic regression analysis.

Results: A total of 81 cases and 281 controls were included in the analysis. Majority of the cases and controls were males (64.2% versus 54.1%; P=0.137) and were >15 years of age (88.9% versus 72.9%; P =0.003). Living in Kinondoni (aOR = 4.28; 95% CI: 1.74 - 10.53); being employed (aOR = 2.06; 95% CI: 1.06-4.04); having piped water at home (aOR = 2.63; 95% CI: 1.40 - 4.95) and a recent visit of health facility (aOR = 1.94; 95% CI: 1.11 - 3.38) were significantly associated with dengue infection.

Conclusions: Dengue infection in Dar es Salaam varied between the three districts and was associated with being employed, having piped water at home and a recent visit to the health facility. These findings provide primary understanding of the influence of socio-demographic factors on dengue and may be used to develop appropriate preventive interventions.