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Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study

BACKGROUND: Disparities in invasive cervical cancer (ICC) incidence exist globally, particularly in HIV positive women who are at elevated risk compared to HIV negative women. We aimed to determine the spatial, temporal, and spatiotemporal incidence of ICC and the potential risk factors among HIV po...

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Autores principales: Tafadzwa, Dhokotera, Julien, Riou, Lina, Bartels, Eliane, Rohner, Frederique, Chammartin, Leigh, Johnson, Elvira, Singh, Victor, Olago, Mazvita, Sengayi-Muchengeti, Matthias, Egger, Julia, Bohlius, Garyfallos, Konstantinoudis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244168/
https://www.ncbi.nlm.nih.gov/pubmed/34187465
http://dx.doi.org/10.1186/s12942-021-00283-z
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author Tafadzwa, Dhokotera
Julien, Riou
Lina, Bartels
Eliane, Rohner
Frederique, Chammartin
Leigh, Johnson
Elvira, Singh
Victor, Olago
Mazvita, Sengayi-Muchengeti
Matthias, Egger
Julia, Bohlius
Garyfallos, Konstantinoudis
author_facet Tafadzwa, Dhokotera
Julien, Riou
Lina, Bartels
Eliane, Rohner
Frederique, Chammartin
Leigh, Johnson
Elvira, Singh
Victor, Olago
Mazvita, Sengayi-Muchengeti
Matthias, Egger
Julia, Bohlius
Garyfallos, Konstantinoudis
author_sort Tafadzwa, Dhokotera
collection PubMed
description BACKGROUND: Disparities in invasive cervical cancer (ICC) incidence exist globally, particularly in HIV positive women who are at elevated risk compared to HIV negative women. We aimed to determine the spatial, temporal, and spatiotemporal incidence of ICC and the potential risk factors among HIV positive women in South Africa. METHODS: We included ICC cases in women diagnosed with HIV from the South African HIV cancer match study during 2004–2014. We used the Thembisa model, a mathematical model of the South African HIV epidemic to estimate women diagnosed with HIV per municipality, age group and calendar year. We fitted Bayesian hierarchical models, using a reparameterization of the Besag-York-Mollié to capture spatial autocorrelation, to estimate the spatiotemporal distribution of ICC incidence among women diagnosed with HIV. We also examined the association of deprivation, access to health (using the number of health facilities per municipality) and urbanicity with ICC incidence. We corrected our estimates to account for ICC case underascertainment, missing data and data errors. RESULTS: We included 17,821 ICC cases and demonstrated a decreasing trend in ICC incidence, from 306 to 312 in 2004 and from 160 to 191 in 2014 per 100,000 person-years across all municipalities and corrections. The spatial relative rate (RR) ranged from 0.27 to 4.43 in the model without any covariates. In the model adjusting for covariates, the most affluent municipalities had a RR of 3.18 (95% Credible Interval 1.82, 5.57) compared to the least affluent ones, and municipalities with better access to health care had a RR of 1.52 (1.03, 2.27) compared to municipalities with worse access to health. CONCLUSIONS: The results show an increased incidence of cervical cancer in affluent municipalities and in those with more health facilities. This is likely driven by better access to health care in more affluent areas. More efforts should be made to ensure equitable access to health services, including mitigating physical barriers, such as transportation to health centres and strengthening of screening programmes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12942-021-00283-z.
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spelling pubmed-82441682021-06-30 Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study Tafadzwa, Dhokotera Julien, Riou Lina, Bartels Eliane, Rohner Frederique, Chammartin Leigh, Johnson Elvira, Singh Victor, Olago Mazvita, Sengayi-Muchengeti Matthias, Egger Julia, Bohlius Garyfallos, Konstantinoudis Int J Health Geogr Research BACKGROUND: Disparities in invasive cervical cancer (ICC) incidence exist globally, particularly in HIV positive women who are at elevated risk compared to HIV negative women. We aimed to determine the spatial, temporal, and spatiotemporal incidence of ICC and the potential risk factors among HIV positive women in South Africa. METHODS: We included ICC cases in women diagnosed with HIV from the South African HIV cancer match study during 2004–2014. We used the Thembisa model, a mathematical model of the South African HIV epidemic to estimate women diagnosed with HIV per municipality, age group and calendar year. We fitted Bayesian hierarchical models, using a reparameterization of the Besag-York-Mollié to capture spatial autocorrelation, to estimate the spatiotemporal distribution of ICC incidence among women diagnosed with HIV. We also examined the association of deprivation, access to health (using the number of health facilities per municipality) and urbanicity with ICC incidence. We corrected our estimates to account for ICC case underascertainment, missing data and data errors. RESULTS: We included 17,821 ICC cases and demonstrated a decreasing trend in ICC incidence, from 306 to 312 in 2004 and from 160 to 191 in 2014 per 100,000 person-years across all municipalities and corrections. The spatial relative rate (RR) ranged from 0.27 to 4.43 in the model without any covariates. In the model adjusting for covariates, the most affluent municipalities had a RR of 3.18 (95% Credible Interval 1.82, 5.57) compared to the least affluent ones, and municipalities with better access to health care had a RR of 1.52 (1.03, 2.27) compared to municipalities with worse access to health. CONCLUSIONS: The results show an increased incidence of cervical cancer in affluent municipalities and in those with more health facilities. This is likely driven by better access to health care in more affluent areas. More efforts should be made to ensure equitable access to health services, including mitigating physical barriers, such as transportation to health centres and strengthening of screening programmes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12942-021-00283-z. BioMed Central 2021-06-29 /pmc/articles/PMC8244168/ /pubmed/34187465 http://dx.doi.org/10.1186/s12942-021-00283-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tafadzwa, Dhokotera
Julien, Riou
Lina, Bartels
Eliane, Rohner
Frederique, Chammartin
Leigh, Johnson
Elvira, Singh
Victor, Olago
Mazvita, Sengayi-Muchengeti
Matthias, Egger
Julia, Bohlius
Garyfallos, Konstantinoudis
Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study
title Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study
title_full Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study
title_fullStr Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study
title_full_unstemmed Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study
title_short Spatiotemporal modelling and mapping of cervical cancer incidence among HIV positive women in South Africa: a nationwide study
title_sort spatiotemporal modelling and mapping of cervical cancer incidence among hiv positive women in south africa: a nationwide study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244168/
https://www.ncbi.nlm.nih.gov/pubmed/34187465
http://dx.doi.org/10.1186/s12942-021-00283-z
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