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. 2025 Apr 2;14(1):28.
doi: 10.1186/s40249-025-01276-x.

Co-morbidity of malaria and soil-transmitted helminths in Nigeria: a joint Bayesian modelling approach

Affiliations

Co-morbidity of malaria and soil-transmitted helminths in Nigeria: a joint Bayesian modelling approach

Faith Eshofonie et al. Infect Dis Poverty. .

Abstract

Background: Malaria and soil-transmitted helminths (STH) represent significant public health challenges in tropical regions, particularly affecting children and impeding development. This study investigates the co-morbidity of malaria, caused by Plasmodium spp., and STH infections, including Ascaris lumbricoides(roundworm), Ancylostoma duodenale and Necator americanus (hookworm), and Trichuris trichiura(whipworm), in Nigeria.

Methods: We utilized malaria prevalence data from the Nigeria Malaria Indicators Survey (NMIS) for the years 2010 and 2015 and STH prevalence data from the Expanded Special Project for Elimination of Neglected Tropical Diseases (ESPEN) portal, covering the years 1978-2014. A Bayesian coregionalization model was employed to analyze the prevalence and incidence of malaria and STH, linking these data to climatic factors such as temperature and precipitation. The study's findings highlight significant co-morbidity between malaria and STH, particularly in the southsouth and southeast regions.

Results: Our analysis reveals notable regional disparities: malaria prevalence is highest in the northwest and north-central regions, while Ascaris lumbricoides is widespread in both northern and southern states. Ancylostoma duodenale and Necator americanus(Hookworm) are predominantly found in the southwest, and Trichuris trichiura, though less prevalent, is significant in specific areas. Substantial co-morbidity between malaria and STH was observed, particularly in the South-South and southeast regions, indicating a compounded health burden. Furthermore, climatic factors significantly influence disease distribution; higher temperatures correlate with increased malaria prevalence, although temperature has a minimal effect on STH prevalence and incidence. In contrast, precipitation is positively associated with both malaria and STH incidence.

Conclusions: These findings enhance our understanding of the spatial distribution and risk factors associated with malaria and STH in Nigeria, providing vital insights for the development of public health policies and targeted intervention strategies.

Keywords: Ascaris lumbricoides; Trichuris trichiura; Climate; Coregionalization; Hookworm; Malaria; Nigeria; Soil-transmitted helminths.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: This study was conducted under ethical guidelines. As this research relied on secondary data, consent from individual participants was not required. All data used were anonymized to protect participant privacy. Consent for publication: Not applicable. Competing interests: The authors declare that they have no competing interests related to this study. There are no financial or personal relationships that could influence the research outcomes.

Figures

Fig. 1
Fig. 1
Maps of Nigeria for various data collections. a A map of Nigeria showing all 36 states and the FCT. b A map of Nigeria showing the locations where malaria prevalence data were collected. c A map of Nigeria showing the locations where STH prevalence data were collected
Fig. 2
Fig. 2
Triangulation of Nigeria based on a 2309 vertices (malaria and Ascaris lumbricoides). b 2311 vertices (malaria and hookworm). c 2305 vertices (malaria and Trichuris trichiura)
Fig. 3
Fig. 3
Estimates of the posterior means of spatial effects for a malaria prevalence. b Ascaris lumbricoides prevalence. c Ascaris lumbricoides incidence. d malaria prevalence and Ascaris lumbricoides prevalence. e malaria prevalence and Ascaris lumbricoides incidence
Fig. 4
Fig. 4
Estimates of the posterior means of spatial effects for malaria and hookworm. a malaria prevalence. b hookworm prevalence. c hookworm incidence. d malaria prevalence and hookworm prevalence. e malaria prevalence and hookworm incidence
Fig. 5
Fig. 5
Estimates of the posterior means of spatial effects for malaria and Trichuris trichiuraa malaria prevalence. b Trichuris trichiura prevalence. c Trichuris trichiura incidence. d malaria prevalence and Trichuris trichiura prevalence. e malaria prevalence and Trichuris trichiura incidence
Fig. 6
Fig. 6
Effects of temperature on the spatial distribution of malaria prevalence and STH prevalence and incidence
Fig. 7
Fig. 7
Effects of precipitation on the spatial distribution of malaria prevalence and STH prevalence and incidence

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