6 research outputs found

    Protocol: Mapping social networks, social influence and sexual health among youth in rural KwaZulu-Natal, the Sixhumene cohort study [version 1; peer review: awaiting peer review]

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    Background: Sexual behaviour and sexually transmitted infections are strongly affected by social connections, and interventions are often adapted more readily when diffused through social networks. However, evidence on how young people acquire ideas and change behaviour through the influence of important social contacts is not well understood in high-HIV-prevalence settings, with the result that past peer-led HIV-prevention interventions have had limited success. / Methods: We therefore designed a cohort study (named Sixhumene or ‘we are connected’) to follow young people in three rural and small-town communities in uMkhanyakude district, KwaZulu-Natal, South Africa, and the people that these youth identify as important in their lives. We will interview them five times over three years, at each visit collecting information on their socioeconomic, social and sexual health lives, and testing them for HIV and herpes simplex virus 2 (HSV-2). We will use this information to understand how these young people’s sexual health decisions are formed. This will include evaluating how poor sexual health outcomes are correlated across social networks, how youth mimic the attitudes and behaviours of those around them, who is at greatest risk of acquiring HIV and HSV-2, and who might be most influential within communities and thus best able to promote protective interventions. / Discussion: The information gathered through this study will allow us to describe social connection and influence spread through these real-world social networks, and how this leads to sexual health outcomes. Sixhumene will provide vital inputs for mathematical models of communities and spreading processes, as well as inform the development of effective interventions to protect the sexual health of community members through appropriate targeting with optimised messaging requiring fewer resources

    Making sense of uncertainty: The precarious lives of young migrants from rural Kwazulu-Natal, South Africa.

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    This study aims to examine the experiences of young migrants and the role of uncertainty in their precarious lives. Drawing on data from individual interviews and a workshop with young migrants aged 16-24 years old in KwaZulu-Natal, South Africa, we use uncertainty as a theoretical lens, to illustrate the ways in which young migrants' experiences provide meaning for them and give them an opportunity to assess, and plan for better opportunities despite the stark outlook. Thematic analysis was used to examine the multidimensionality of socio-spatial identities in young migrants. The findings illustrate how young migrants hustle for opportunities to lead valuable lives in the face of uncertainty. The implications highlight how attending to the complex intersectional nuances of uncertainty can serve as an enabler of aspirations, alongside essential structural factors influencing migration among young people brought up in rural communities. However, in proposing this alternative view of positive uncertainty, the structural violence experienced by these young people should not be overlooked and should be addressed as per their context

    Protocol: Mapping social networks, social influence and sexual health among youth in rural KwaZulu-Natal, the Sixhumene cohort study

    Get PDF
    Background: Sexual behaviour and sexually transmitted infections are strongly affected by social connections, and interventions are often adapted more readily when diffused through social networks. However, evidence on how young people acquire ideas and change behaviour through the influence of important social contacts is not well understood in high-HIV-prevalence settings, with the result that past peer-led HIV-prevention interventions have had limited success. Methods: We therefore designed a cohort study (named Sixhumene or ‘we are connected’) to follow young people in three rural and small-town communities in uMkhanyakude district, KwaZulu-Natal, South Africa, and the people that these youth identify as important in their lives. We will interview them five times over three years, at each visit collecting information on their socioeconomic, social and sexual health lives, and testing them for HIV and herpes simplex virus 2 (HSV-2). We will use this information to understand how these young people’s sexual health decisions are formed. This will include evaluating how poor sexual health outcomes are correlated across social networks, how youth mimic the attitudes and behaviours of those around them, who is at greatest risk of acquiring HIV and HSV-2, and who might be most influential within communities and thus best able to promote protective interventions. Discussion: The information gathered through this study will allow us to describe social connection and influence spread through these real-world social networks, and how this leads to sexual health outcomes. Sixhumene will provide vital inputs for mathematical models of communities and spreading processes, as well as inform the development of effective interventions to protect the sexual health of community members through appropriate targeting with optimised messaging requiring fewer resources.</ns3:p

    Impact of social distancing regulations and epidemic risk perception on social contact and SARS-CoV-2 transmission potential in rural South Africa: analysis of repeated cross-sectional surveys.

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    BACKGROUND: South Africa implemented rapid and strict physical distancing regulations to minimize SARS-CoV-2 epidemic spread. Evidence on the impact of such measures on interpersonal contact in rural and lower-income settings is limited. METHODS: We compared population-representative social contact surveys conducted in the same rural KwaZulu-Natal location once in 2019 and twice in mid-2020. Respondents reported characteristics of physical and conversational ('close interaction') contacts over 24 hours. We built age-mixing matrices and estimated the proportional change in the SARS-CoV-2 reproduction number (R 0 ). Respondents also reported counts of others present at locations visited and transport used, from which we evaluated change in potential exposure to airborne infection due to shared indoor space ('shared air'). RESULTS: Respondents in March-December 2019 (n=1704) reported a mean of 7.4 close interaction contacts and 196 shared air person-hours beyond their homes. Respondents in June-July 2020 (n=216), as the epidemic peaked locally, reported 4.1 close interaction contacts and 21 shared air person-hours outside their home, with significant declines in others' homes and public spaces. Adults aged over 50 had fewer close contacts with others over 50, but little change in contact with 15-29 year olds, reflecting ongoing contact within multigenerational households. We estimate potential R 0 fell by 42% (95% plausible range 14-59%) between 2019 and June-July 2020. DISCUSSION: Extra-household social contact fell substantially following imposition of Covid-19 distancing regulations in rural South Africa. Ongoing contact within intergenerational households highlighted the limitation of social distancing measures in protecting older adults. FUNDING: Wellcome Trust, UKRI, DFID, European Union

    Impact of the Covid-19 epidemic and related social distancing regulations on social contact and SARS-CoV-2 transmission potential in rural South Africa: analysis of repeated cross-sectional surveys.

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    BACKGROUND: South Africa implemented rapid and strict physical distancing regulations to minimize SARS-CoV-2 epidemic spread. Evidence on the impact of such measures on interpersonal contact in rural and lower-income settings is limited. METHODS: We compared population-representative social contact surveys conducted in the same rural KwaZulu-Natal location once in 2019 and twice in mid-2020. Respondents reported characteristics of physical and conversational ('close interaction') contacts over 24 hours. We built age-mixing matrices and estimated the proportional change in the SARS-CoV-2 reproduction number (R0). Respondents also reported counts of others present at locations visited and transport used, from which we evaluated change in potential exposure to airborne infection due to shared indoor space ('shared air'). RESULTS: Respondents in March-December 2019 (n = 1704) reported a mean of 7.4 close interaction contacts and 196 shared air person-hours beyond their homes. Respondents in June-July 2020 (n = 216), as the epidemic peaked locally, reported 4.1 close interaction contacts and 21 shared air person-hours outside their home, with significant declines in others' homes and public spaces. Adults aged over 50 had fewer close contacts with others over 50, but little change in contact with 15-29 year olds, reflecting ongoing contact within multigenerational households. We estimate potential R0 fell by 42% (95% plausible range 14-59%) between 2019 and June-July 2020. CONCLUSIONS: Extra-household social contact fell substantially following imposition of Covid-19 distancing regulations in rural South Africa. Ongoing contact within intergenerational households highlighted a potential limitation of social distancing measures in protecting older adults

    Social contact information from PIPSA residents in uMkhanyakude before and during the Covid-19 pandemic – data from the Umoya Omuhle and Covid Social Contacts studies

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    This data collection combines information collected as part of two studies, both asking about the physical and close social contact behaviour of PIPSA residents in the context of respiratory infectious diseases. The Umoya omuhle study, conducted in 2019, asked respondents to provide detailed information on the people they had prolonged close contact with (physical or conversational) on a recent day, and where they travelled and spent time indoors. The Covid Social Contact study repeated many of these measures from June 2020 onwards, during Covid-related lockdowns. The data collection was created in order to measure how behaviours, and thus risk for respiratory infection, changed over the intervening year
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