High-resolution disease maps for cancer control in low-resource settings: A spatial analysis of cervical cancer incidence in Kampala, Uganda.

Autor:	Beyer K; Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Kasasa S; Makerere University, Kampala, Uganda., Anguzu R; Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Lukande R; Makerere University, Kampala, Uganda.; Kampala Cancer Registry, Kampala, Uganda., Nambooze S; Makerere University, Kampala, Uganda.; Kampala Cancer Registry, Kampala, Uganda., Amulen PM; Makerere University, Kampala, Uganda.; Kampala Cancer Registry, Kampala, Uganda., Zhou Y; Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Nansereko B; Makerere University, Kampala, Uganda., Jankowski C; Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Oyana T; Makerere University, Kampala, Uganda., Savino D; Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Feustel K; Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Wabinga H; Makerere University, Kampala, Uganda.; Kampala Cancer Registry, Kampala, Uganda.
Jazyk:	angličtina
Zdroj:	Journal of global health [J Glob Health] 2022 Apr 23; Vol. 12, pp. 04032. Date of Electronic Publication: 2022 Apr 23 (Print Publication: 2022).
DOI:	10.7189/jogh.12.04032
Abstrakt:	Background: 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. Methods: Kampala Cancer Registry records for cervical cancer diagnoses between 2008 and 2015 were updated to include geographies of residence at diagnosis. Population data by age and sex for 2014 was obtained from the Uganda Bureau of Statistics. Indirectly age-standardized incidence ratios were calculated for sub-counties and estimated continuously across the study area using parish level data. Results: Overall, among 1873 records, 89.6% included a valid sub-county and 89.2% included a valid parish name. Maps revealed specific areas of high cervical cancer incidence in the region, with significant variation within sub-counties, highlighting the importance of high-resolution spatial detail. Conclusions: Population-based cancer registry data and geospatial mapping can be used in low-resource settings to support cancer prevention and control efforts, and to create the potential for research examining geographic factors that influence cancer outcomes. It is essential to support LMIC cancer registries to maximize the benefits from the use of limited cancer control resources. Competing Interests: Competing interests: The authors completed the ICMJE Unified Competing Interest Form (available upon request from the corresponding author) and declare no conflicts of interest. (Copyright © 2022 by the Journal of Global Health. All rights reserved.)
Databáze:	MEDLINE
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