Browsing by Author "Nansereko, Brendah"

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    High-resolution disease maps for cancer control in low-resource settings: A spatial analysis of cervical cancer incidence in Kampala, Uganda
    (Journal of Global Health, 2022) Beyer, Kirsten; Kasasa, Simon; Anguzu, Ronald; Lukande, Robert; Nambooze, Sarah; Nansereko, Brendah; Oyana, Tonny; Savino, Danielle; Feustel, Kavanya; Wabinga, Henry
    The global burden of cervical cancer is concentrated in low-and middle-income countries (LMICs), with the greatest burden in Africa. Targeting limited resources to populations with the greatest need to maximize impact is essential. The objectives of this study were to geocode cervical cancer data from a population-based cancer registry in Kampala, Uganda, to create high-resolution disease maps for cervical cancer prevention and control planning, and to share lessons learned to optimize efforts in other low-resource settings.
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    Parish level social factors predict population-based cervical cancer incidence in Kampala, Uganda, 2008–15: an ecological study
    (The Lancet Global Health, 2022) Beyer, Kirsten M M; Kasasa, Simon; Anguzu, Ronald; Nambooze, Sarah; Amulen, Phoebe Mary; Nansereko, Brendah; Zhou, Yuhong; Lukande, Robert; Wabinga, Henry
    The burden of cancer in Africa is growing. Although cancer outcomes are understood as the product of influences at multiple socioecological levels, population-based studies of geographical factors and cancer outcomes in Africa are scarce. The objective of this study was to identify parish-level social factors associated with cervical cancer incidence in the Kampala Cancer Registry catchment area, using a novel linkage between population-based cancer registry data and small-area census data from Uganda. Kampala Cancer Registry cervical cancer records (2008–15) were augmented to add the parish of residence at diagnosis. Parish-level population and housing profile data (2014) were obtained from the Uganda Bureau of Statistics and linked to Kampala Cancer Registry records. Stepwise forward Poisson regression modelling was used to estimate incidence ratios (IR) assessing associations between social factors and incidence. Housing tenure, infrastructure, gender equality, economic status, and employment were examined, controlling for population density. The significance level was set at α=0·05. Factors related to higher incidence included a higher girl-to-boy ratio of 6–12-year-olds not attending school (IR 1·33 [95% CI 1·15–1·54]; p<0.001), a higher percentage of 10–17-year-olds ever married (IR 1·22 [95% CI 1·06–1·40]; p=0·006) and a higher percentage of households receiving remittances (IR 1·03 [95% CI 1·00–1·06]; p=0·026). Factors associated with lower incidence included a higher percentage of household owner occupancy (IR 0·95 [95% CI 0·92–0·98]; p=0·002) and a higher percentage of households with piped water (IR 0·97 [95% CI 0·95–0·99]; p=0·009). Interpretation Parish-level social factors predict cervical cancer incidence in Uganda. Communities most at risk are characterised by inequity in educational access for girls, higher prevalence of child marriage, low home ownership, inadequate infrastructure, and financial dependence. These communities would benefit from HPV vaccination and screening campaigns to prevent and control cervical cancer. Investments should be made to enhance population-based cancer surveillance and census data collection in Africa to offer new strategies and targets for cancer prevention and control.