Arthropod-borne viruses are a major constituent of emerging infectious diseases worldwide, but limited data are available on the prevalence, distribution, and risk factors for transmission in Kenya and East Africa. In this study, we used 1,091 HIV-negative blood specimens from the 2007 Kenya AIDS Indicator Survey (KAIS 2007) to test for the presence of IgG antibodies to dengue virus (DENV), chikungunya virus (CHIKV) and Rift Valley fever virus (RVFV).The KAIS 2007 was a national population-based survey conducted by the Government of Kenya to provide comprehensive information needed to address the HIV/AIDS epidemic. Antibody testing for arboviruses was performed on stored blood specimens from KAIS 2007 through a two-step sandwich IgG ELISA using either commercially available kits or CDC-developed assays. Out of the 1,091 samples tested, 210 (19.2%) were positive for IgG antibodies against at least one of the three arboviruses. DENV was the most common of the three viruses tested (12.5% positive), followed by RVFV and CHIKV (4.5% and 0.97%, respectively). For DENV and RVFV, the participant’s province of residence was significantly associated (P≤.01) with seropositivity. Seroprevalence of DENV and RVFV increased with age, while there was no correlation between province of residence/age and seropositivity for CHIKV. Females had twelve times higher odds of exposure to CHIK as opposed to DENV and RVFV where both males and females had the same odds of exposure. Lack of education was significantly associated with a higher odds of previous infection with either DENV or RVFV (p <0.01). These data show that a number of people are at risk of arbovirus infections depending on their geographic location in Kenya and transmission of these pathogens is greater than previously appreciated. This poses a public health risk, especially for DENV.

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The incidence and spread of dengue virus (DENV) have increased rapidly in recent decades. Dengue is underreported in Africa, but recent outbreaks and seroprevalence data suggest that DENV is widespread there. A lack of ongoing surveillance limits knowledge about its spatial reach and hinders disease control planning. We sought to add data on dengue distribution in Kenya through diagnostic testing of serum specimens from persons with an acute febrile illness (AFI) attending an outpatient clinic in rural western Kenya (Asembo) during rainy seasons. Patients with symptoms not likely to be misclassified as dengue (e.g., diarrhea and anemia), those with a positive diagnostic laboratory results which explained their febrile illness, or those with serum collected more than 5 days after fever onset were excluded. However, febrile patients with a positive malaria smear were included in the study. We used reverse transcription polymerase chain reaction (RT-PCR) to test for DENV and IgM anti-DENV to test for recent infection. Of the 615 serum specimens available for testing, none were dengue positive by either RT-PCR or IgM anti-DENV testing. Dengue did not appear to be a cause of febrile illness in this area of western Kenya, although our relatively small sample size may not have identified DENV infections occurring at low incidence. A more widespread AFI surveillance system that includes dengue diagnostic testing by RT-PCR and antibody-based methods is required to more definitively gauge the size and geographic distribution of DENV infection in western Kenya.

Background To determine associations between household motor vehicle ownership and obesity among Indian adults. Methods Bivariate and multivariable analyses were conducted using the 2005–2006 and 2015–2016 Indian Demographic and Health surveys, with over 800 000 respondents. Results Obesity prevalence (body mass index ≥25 kg/m2) rose in females (16.87% to 20.35%) and in males (12.55% to 18.74%). In 2005, having both types of vehicles (motorcycle/motor scooter and car) significantly increased the odds of obesity in females (OR, 1.63; 95% CI 1.50 to 1.76) and males (OR, 2.49; 95% CI 2.24 to 2.77) as well as in 2015 (OR, 1.10; 95% CI 1.07 to 1.13 and OR, 1.56; 95% CI 1.45 to 1.68, respectively). The wealthiest were more likely to be obese in 2005 (OR, 14.95; 95% CI 16.06 to 17.12 for females; OR, 12.69; 95% CI 10.17 to 15.70 for males) and in 2015 (OR, 7.69; 95% CI 7.43 to 7.95 for females and OR, 6.40; 95% CI 5.40 to 7.01 for males). Higher education levels, being younger and rural residence were significant protective factors in 2005 and 2015. Conclusions After adjusting for confounders, motor vehicle ownership was significantly associated with obesity at both time points, but the effect of vehicle ownership presents differently by gender. With obesity prevalence increasing in India, policies promoting active vs motorized transport could attenuate this problem.

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