Association between tuberculosis in men and social network structure in Kampala, Uganda
Autor: | Christopher C. Whalen, Juliet N. Sekandi, Paige B. Miller, John M. Drake, Noah Kiwanuka, Sarah Zalwango, Ronald Galiwango, Robert Kakaire, Lauren Steinbaum |
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Rok vydání: | 2021 |
Předmět: |
Adult
Male Tuberculosis Closeness Infectious and parasitic diseases RC109-216 Disease Male-bias Social Networking Social group Mixing patterns Betweenness centrality Humans Medicine Uganda Child Social network Contact patterns Family Characteristics business.industry Assortativity medicine.disease Infectious Diseases Female business Research Article Demography |
Zdroj: | BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-9 (2021) BMC Infectious Diseases |
ISSN: | 1471-2334 |
DOI: | 10.1186/s12879-021-06475-z |
Popis: | Background Globally, tuberculosis disease (TB) is more common among males than females. Recent research proposes that differences in social mixing by sex could alter infection patterns in TB. We examine evidence for two mechanisms by which social-mixing could increase men’s contact rates with TB cases. First, men could be positioned in social networks such that they contact more people or social groups. Second, preferential mixing by sex could prime men to have more exposure to TB cases. Methods We compared the networks of male and female TB cases and healthy matched controls living in Kampala, Uganda. Specifically, we estimated their positions in social networks (network distance to TB cases, degree, betweenness, and closeness) and assortativity patterns (mixing with adult men, women, and children inside and outside the household). Results The observed network consisted of 11,840 individuals. There were few differences in estimates of node position by sex. We found distinct mixing patterns by sex and TB disease status including that TB cases have proportionally more adult male contacts and fewer contacts with children. Conclusions This analysis used a network approach to study how social mixing patterns are associated with TB disease. Understanding these mechanisms may have implications for designing targeted intervention strategies in high-burden populations. |
Databáze: | OpenAIRE |
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