Browsing by Author "Pool, Robert C."

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    Beyond solidarity and mutual aid: Tension and conflict in burial groups in rural Uganda
    (International Social Work, 2022) Kashaija Musinguzi, Laban; Rwemisisi, Jude T.; Turinawe, Emmanueil Benon; Vries, Danny De; Groot, Marije De; Kaawa Mafigiri, David; Katamba, Achilles; Pool, Robert C.
    Drawing from ethnographic data collected between 2012 and 2014 and January and June 2018 in Luwero district, Uganda, this article questions the romanticised depiction of burial groups as a means of enhancing social support, a sense of solidarity and mutual aid. We found that the felt sense of identity and belonging for members is not shared across community members, and that solidary relations between members and non-group members in the community are fraught with tensions and conflicts. Beyond the romanticised view of burial groups, we need to study burial groups as a model of solidarity in disunity and diversity.
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    Social Networks for Health Communication in Rural Uganda: A Mixed-Method Analysis of Dekabusa Trading Centre, Luwero County
    (Global public health, 2020) Vries, Daniel H. de; Bruggeman, Jeroen; Benoni, Turinawe E.; Rwemisisi, Jude T.; Kashaija, Laban M.; Muhangi, Denis; Pool, Robert C.
    To reach the most vulnerable individuals in under-resourced countries, health communication interventions increasingly move towards the community level. However, little is known about how health information spreads through local social networks. This paper maps the health information network of a rural trading centre in Uganda. As part of a five-year ethnographic study of sustainable community health resources, ego networks were obtained for 231 village residents in March 2014. Using both ethnographic and social network data, we analyze how the village social network is structured, and how this structure may influence the transmission of health information. Results show a network with low average proximity, with a small number of individuals, notably key administrative officials, much closer connected to many other community members than average. However, because of social partitioning in the village network, a number of people are outside the social clusters in which the top influencers are located.