103 research outputs found

    Spillover of a hepatitis A outbreak among men who have sex with men (MSM) to the general population, the Netherlands, 2017.

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    Since 2015, outbreaks of hepatitis A among men who have sex with men (MSM) have been reported worldwide. To examine the impact of these MSM outbreaks in the Netherlands, we combined notification and epidemiological data with sequence analysis. Our results show the hazards of outbreaks within risk-groups spilling over into the largely susceptible general population. One third of the outbreak-related hepatitis A virus genotypes were detected in non-MSM cases

    The psychosocial determinants of the intention to test for HIV among young men in KwaZulu-Natal province, South Africa

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    : Voluntary counselling and testing is one of the effective prevention strategies against the HIV/AIDS epidemic. This study investigated the psychosocial determinants of the intention to be tested for HIV among young men in South Africa’s KwaZulu-Natal province using the theory of planned behaviour as the guiding framework. A facilitator-administered questionnaire was used to collect data among 350 isiZulu-speaking men between the ages of 18 and 35. Results show that 24% reported ever having tested. Intention to test showed strong positive correlations with subjective norm to test (r = 0.67), intention to use condoms (r = 0.65), intention to reduce alcohol use (r = 0.60), subjective norm to reduce alcohol use (r = 0.54), and subjective norm to use condoms (r = 0.51). For multiple regression, attitude, subjective norm and perceived behavioural control explained 43% of the variance in intention to test, with subjective norm and perceived behavioural control making significant unique contributions. An additional 12% of the variance was explained by intention to reduce alcohol and drug use, and use condoms

    Determinants for HIV testing and counselling in Nairobi urban informal settlements

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    BACKGROUND: Counselling and testing is important in HIV prevention and care. Majority of people in sub-Saharan Africa do not know their HIV status and are therefore unable to take steps to prevent infection or take up life prolonging anti-retroviral drugs in time if infected. This study aimed at exploring determinants of HIV testing and counselling in two Nairobi informal settlements. METHODS: Data are derived from a cross-sectional survey nested in an ongoing demographic surveillance system. A total of 3,162 individuals responded to the interview and out of these, 82% provided a blood sample which was tested using rapid test kits. The outcome of interest in this paper was HIV testing status in the past categorised as "never tested"; "client-initiated testing and counselling (CITC)" and provider-initiated testing and counselling (PITC). Multinomial logistic regression was used to identify determinants of HIV testing. RESULTS: Approximately 31% of all respondents had ever been tested for HIV through CITC, 22% through PITC and 42% had never been tested but indicated willingness to test. Overall, 62% of females and 38% of males had ever been tested for HIV. Males were less likely to have had CITC (OR = 0.47; p value < 0.001) and also less likely to have had PITC (OR = 0.16; p value < 0.001) compared to females. Individuals aged 20-24 years were more likely to have had either CITC or PITC compared to the other age groups. The divorced/separated/widowed were more likely (OR = 1.65; p value < 0.01) to have had CITC than their married counterparts, while the never married were less likely to have had either CITC or PITC. HIV positive individuals (OR = 1.60; p value < 0.01) and those who refused testing in the survey (OR = 1.39; p value < 0.05) were more likely to have had CITC compared to their HIV negative counterparts. CONCLUSION: Although the proportion of individuals ever tested in the informal settlements is similar to the national average, it remains low compared to that of Nairobi province especially among men. Key determinants of HIV testing and counselling include; gender, age, education level, HIV status and marital status. These factors need to be considered in efforts aimed at increasing participation in HIV testing
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