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Estimating the burden of mycetoma in Sudan for the period 1991–2018 using a model-based geostatistical approach

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Estimating the burden of mycetoma in Sudan for the period 1991–2018 using a model-based geostatistical approach. / Hassan, Rowa; Cano, Jorge; Fronterre, Claudio et al.
In: PLoS Negl Trop Dis, Vol. 16, No. 10, e0010795, 14.10.2022.

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Hassan, R, Cano, J, Fronterre, C, Bakhiet, S, Fahal, A, Deribe, K, Newport, M & Nosanchuk, J (ed.) 2022, 'Estimating the burden of mycetoma in Sudan for the period 1991–2018 using a model-based geostatistical approach', PLoS Negl Trop Dis, vol. 16, no. 10, e0010795. https://doi.org/10.1371/journal.pntd.0010795

APA

Hassan, R., Cano, J., Fronterre, C., Bakhiet, S., Fahal, A., Deribe, K., Newport, M., & Nosanchuk, J. (Ed.) (2022). Estimating the burden of mycetoma in Sudan for the period 1991–2018 using a model-based geostatistical approach. PLoS Negl Trop Dis, 16(10), Article e0010795. https://doi.org/10.1371/journal.pntd.0010795

Vancouver

Hassan R, Cano J, Fronterre C, Bakhiet S, Fahal A, Deribe K et al. Estimating the burden of mycetoma in Sudan for the period 1991–2018 using a model-based geostatistical approach. PLoS Negl Trop Dis. 2022 Oct 14;16(10):e0010795. doi: 10.1371/journal.pntd.0010795

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Bibtex

@article{c8b338b746b045e3aa3754b3f0d9fbd5,
title = "Estimating the burden of mycetoma in Sudan for the period 1991–2018 using a model-based geostatistical approach",
abstract = "Mycetoma is widespread in tropical and subtropical regions favouring arid areas with low humidity and a short rainy season. Sudan is one of the highly endemic countries for mycetoma. Estimating the population at risk and the number of cases is critical for delivering targeted and equitable prevention and treatment services. In this study, we have combined a large dataset of mycetoma cases recorded by the Mycetoma Research Centre (MRC) in Sudan over 28 years (1991–2018) with a collection of environmental and water and hygiene-related datasets in a geostatistical framework to produce estimates of the disease burden across the country. We developed geostatistical models to predict the number of cases of actinomycetoma and eumycetoma in areas considered environmentally suitable for the two mycetoma forms. Then used the raster dataset (gridded map) with the population estimates for 2020 to compute the potentially affected population since 1991. The geostatistical models confirmed this heterogeneous and distinct distribution of the estimated cases of eumycetoma and actinomycetoma across Sudan. For eumycetoma, these higher-risk areas were smaller and scattered across Al Jazirah, Khartoum, White Nile and Sennar states, while for actinomycetoma a higher risk for infection is shown across the rural districts of North and West Kurdufan. Nationally, we estimated 63,825 people (95%CI: 13,693 to 197,369) to have been suffering from mycetoma since 1991 in Sudan,51,541 people (95%CI: 9,893–166,073) with eumycetoma and 12,284 people (95%CI: 3,800–31,296) with actinomycetoma. In conclusion, the risk of mycetoma in Sudan is particularly high in certain restricted areas, but cases are ubiquitous across all states. Both prevention and treatment services are required to address the burden. Such work provides a guide for future control and prevention programs for mycetoma, highly endemic areas are clearly targeted, and resources are directed to areas with high demand.",
keywords = "Research Article, Medicine and health sciences, People and places, Research and analysis methods, Physical sciences",
author = "Rowa Hassan and Jorge Cano and Claudio Fronterre and Sahar Bakhiet and Ahmed Fahal and Kebede Deribe and Melanie Newport and Joshua Nosanchuk",
year = "2022",
month = oct,
day = "14",
doi = "10.1371/journal.pntd.0010795",
language = "English",
volume = "16",
journal = "PLoS Negl Trop Dis",
issn = "1935-2735",
publisher = "Public Library of Science",
number = "10",

}

RIS

TY - JOUR

T1 - Estimating the burden of mycetoma in Sudan for the period 1991–2018 using a model-based geostatistical approach

AU - Hassan, Rowa

AU - Cano, Jorge

AU - Fronterre, Claudio

AU - Bakhiet, Sahar

AU - Fahal, Ahmed

AU - Deribe, Kebede

AU - Newport, Melanie

A2 - Nosanchuk, Joshua

PY - 2022/10/14

Y1 - 2022/10/14

N2 - Mycetoma is widespread in tropical and subtropical regions favouring arid areas with low humidity and a short rainy season. Sudan is one of the highly endemic countries for mycetoma. Estimating the population at risk and the number of cases is critical for delivering targeted and equitable prevention and treatment services. In this study, we have combined a large dataset of mycetoma cases recorded by the Mycetoma Research Centre (MRC) in Sudan over 28 years (1991–2018) with a collection of environmental and water and hygiene-related datasets in a geostatistical framework to produce estimates of the disease burden across the country. We developed geostatistical models to predict the number of cases of actinomycetoma and eumycetoma in areas considered environmentally suitable for the two mycetoma forms. Then used the raster dataset (gridded map) with the population estimates for 2020 to compute the potentially affected population since 1991. The geostatistical models confirmed this heterogeneous and distinct distribution of the estimated cases of eumycetoma and actinomycetoma across Sudan. For eumycetoma, these higher-risk areas were smaller and scattered across Al Jazirah, Khartoum, White Nile and Sennar states, while for actinomycetoma a higher risk for infection is shown across the rural districts of North and West Kurdufan. Nationally, we estimated 63,825 people (95%CI: 13,693 to 197,369) to have been suffering from mycetoma since 1991 in Sudan,51,541 people (95%CI: 9,893–166,073) with eumycetoma and 12,284 people (95%CI: 3,800–31,296) with actinomycetoma. In conclusion, the risk of mycetoma in Sudan is particularly high in certain restricted areas, but cases are ubiquitous across all states. Both prevention and treatment services are required to address the burden. Such work provides a guide for future control and prevention programs for mycetoma, highly endemic areas are clearly targeted, and resources are directed to areas with high demand.

AB - Mycetoma is widespread in tropical and subtropical regions favouring arid areas with low humidity and a short rainy season. Sudan is one of the highly endemic countries for mycetoma. Estimating the population at risk and the number of cases is critical for delivering targeted and equitable prevention and treatment services. In this study, we have combined a large dataset of mycetoma cases recorded by the Mycetoma Research Centre (MRC) in Sudan over 28 years (1991–2018) with a collection of environmental and water and hygiene-related datasets in a geostatistical framework to produce estimates of the disease burden across the country. We developed geostatistical models to predict the number of cases of actinomycetoma and eumycetoma in areas considered environmentally suitable for the two mycetoma forms. Then used the raster dataset (gridded map) with the population estimates for 2020 to compute the potentially affected population since 1991. The geostatistical models confirmed this heterogeneous and distinct distribution of the estimated cases of eumycetoma and actinomycetoma across Sudan. For eumycetoma, these higher-risk areas were smaller and scattered across Al Jazirah, Khartoum, White Nile and Sennar states, while for actinomycetoma a higher risk for infection is shown across the rural districts of North and West Kurdufan. Nationally, we estimated 63,825 people (95%CI: 13,693 to 197,369) to have been suffering from mycetoma since 1991 in Sudan,51,541 people (95%CI: 9,893–166,073) with eumycetoma and 12,284 people (95%CI: 3,800–31,296) with actinomycetoma. In conclusion, the risk of mycetoma in Sudan is particularly high in certain restricted areas, but cases are ubiquitous across all states. Both prevention and treatment services are required to address the burden. Such work provides a guide for future control and prevention programs for mycetoma, highly endemic areas are clearly targeted, and resources are directed to areas with high demand.

KW - Research Article

KW - Medicine and health sciences

KW - People and places

KW - Research and analysis methods

KW - Physical sciences

U2 - 10.1371/journal.pntd.0010795

DO - 10.1371/journal.pntd.0010795

M3 - Journal article

VL - 16

JO - PLoS Negl Trop Dis

JF - PLoS Negl Trop Dis

SN - 1935-2735

IS - 10

M1 - e0010795

ER -