Author
Listed:
- Adam W Bartlett
- Tatiana Proboste
- Elsa P Mendes
- Marta S Palmeirim
- Ana Direito
- Ricardo J Soares Magalhaes
- Sergio Lopes
- Susana Vaz Nery
Abstract
Background: A school-based preventive chemotherapy (PC) program has operated since 2013 for soil-transmitted helminths (STHs) and 2014 for schistosomiasis in Huambo, Uige and Zaire provinces, Angola. This program was informed by a prevalence survey in 2014 and evaluated in 2021, demonstrating limited impact in reducing provincial-level prevalence. This geospatial analysis aims to provide granular estimates of the geographic distribution of schistosomiasis and STHs to target control strategies. Methods: Parasitological data on schistosomiasis and STHs were obtained from school-based prevalence surveys conducted in 2014 and 2021. These data were supplemented with open access environmental and climatic data to develop risk prediction maps for each parasite at each time point. Variables for the final risk prediction models were selected through non-spatial multivariable regression analyses and residual spatial autocorrelation was investigated using semivariograms. Risk prediction maps were then developed using either non-spatial or spatial (using the Matérn covariance) geostatistical models depending on the presence of residual spatial autocorrelation. Results: The 2014 survey included 17,093 schoolchildren (575 schools) for schistosomiasis and 3,649 schoolchildren (121 schools) for STHs, and the 2021 survey included 17,880 schoolchildren (599 schools) for schistosomiasis and 6,461 schoolchildren (214 schools) for STHs. Our analyses indicated that in Huambo province, there are small areas of high schistosomiasis risk in the north and south, and a centrally located STH hotspot, with no discernible change in predicted risk for either infection over time. In Uige, there has been a reduction in schistosomiasis hotspots in the southwest corner but an overall increase in predicted risk throughout the province, whilst there is a concerning trend for expanding areas of high predicted STH risk throughout. In Zaire, there are increasing areas of higher risk for schistosomiasis and STHs, with co-endemic hotspots. Conclusion: These risk prediction maps importantly identify higher risk areas for schistosomiasis and STHs within large geographic regions that should be prioritised for control with tailored decisions for future PC delivery. Author summary: To combat soil-transmitted helminth (STH) infections and schistosomiasis a school-based preventive chemotherapy program has been operating since 2013 and 2014, respectively, in the Angolan provinces of Huambo, Uige and Zaire. The program was informed by a prevalence survey conducted in 2014 followed by an impact assessment in 2021. This analysis sought to develop spatial risk predictions of STHs and schistosomiasis using data collected from the 2014 and 2021 surveys, in conjunction with environmental and climatic factors, to improve understanding of how the epidemiology of STHs and schistosomiasis has changed in the context of the program. Our study shows that there have been slight reductions in higher-risk areas for schistosomiasis and STH infections in Huambo. However, there is a concerning trend for expanding areas of high STH infection risk throughout Uige province and the evolution of co-endemic schistosomiasis and STH infection hotspots in Zaire that should be prioritized for targeted interventions.
Suggested Citation
Adam W Bartlett & Tatiana Proboste & Elsa P Mendes & Marta S Palmeirim & Ana Direito & Ricardo J Soares Magalhaes & Sergio Lopes & Susana Vaz Nery, 2025.
"Spatiotemporal analysis of schistosomiasis and soil-transmitted helminth distribution in three highly endemic provinces in Angola,"
PLOS Neglected Tropical Diseases, Public Library of Science, vol. 19(4), pages 1-16, April.
Handle:
RePEc:plo:pntd00:0012974
DOI: 10.1371/journal.pntd.0012974
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pntd00:0012974. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosntds (email available below). General contact details of provider: https://journals.plos.org/plosntds/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.