Community and individual level determinants and spatial distribution of deworming among preschool age children in Ethiopia: spatial and multi-level analysis

Belay, Daniel Gashaneh; Asratie, Melaku Hunie; Gashaw, Moges; Tsega, Nuhamin Tesfa; Endalew, Mastewal; Aragaw, Fantu Mamo

doi:10.1186/s12889-022-13249-y

Cited by 3 publications

(2 citation statements)

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“…To determine the statistical significance of clustering, the Z-score was computed, and the p -value was used to determine if the number of observed cases within the potential cluster was significant or not ( 29 ). Moreover, this spatial analysis method has been used in various studies ( 30 – 32 ).…”

Section: Methodsmentioning

confidence: 99%

Individual and community-level determinants and spatial distribution of prenatal HIV test uptake in Ethiopia: Spatial and multilevel analysis

Tsega

Belay²,

Asratie³

et al. 2023

Front. Public Health

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IntroductionHuman immunodeficiency virus (HIV) testing and counseling services are routine prenatal care services for the prevention of mother-to-child transmission of HIV. Although the prevalence of HIV infection is high among women, evidence suggests that the uptake of HIV testing during prenatal services in Ethiopia is scarce. Therefore, the aim of this study was to investigate individual- and community-level determinants and the spatial distribution of prenatal HIV test uptake in Ethiopia based on the 2016 Ethiopian Demographic and Health Survey.MethodsData were accessed from the 2016 Ethiopian Demographic and Health Survey. A total weighted sample of 4,152 women aged 15–49 years who gave birth in the 2 years preceding the survey were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify cold-spot areas and ArcGIS V.10.7 to explore the spatial distribution of prenatal HIV test uptake. Stata version 14 software was used to extract, clean, and analyze the data. A multilevel logistic regression model was used to identify the individual- and community-level determinants of prenatal HIV test uptake. An adjusted odds ratio (AOR) with a corresponding 95% confidence interval (CI) was used to declare significant determinants of prenatal HIV test uptake.ResultsThe prevalence of HIV test uptake was 34.66% (95% CI: 33.23, 36.13%). The spatial analysis revealed that the distribution of prenatal HIV test uptake was significantly varied across the country. In the multilevel analysis, the following individual and community-level determinants were significantly associated with prenatal HIV test uptake: women who attained primary education (AOR = 1.47, 95% CI: 1.15, 1.87) and secondary and higher education (AOR = 2.03, 95% CI: 1.32, 3.11); women from middle (AOR = 1.46; 95% CI: 1.11, 1.91) and rich household wealth status (AOR = 1.81; 95% CI: 1.36, 2.41); those who had health facility visits in the last 12 months (AOR = 2.17; 95% CI: 1.77, 2.66); women who had higher (AOR = 2,07; 95% CI: 1.66, 2.59) and comprehensive HIV-related knowledge (AOR = 2.90; 95% CI: 2.09, 4.04); women who had moderate (AOR = 1.61; 95% CI: 1.27, 2.04), lower (AOR = 1.52; 95% CI: 1.15, 1.99), and no stigma attitudes (AOR = 2.67; 95% CI: 1.43, 4.99); those who had awareness of MTCT (AOR = 1.83; 95% CI: 1.50, 2.24); those from rural areas (AOR = 0.31; 95% CI: 0.16, 0.61); high community level of education for women (AOR =1.61; 95% CI: 1.04, 2.52); and those living in large central (AOR = 0.37; 95% CI: 0.15, 0.91) and small peripheral areas (AOR = 0.22; 95% CI: 0.08, 0.60).ConclusionIn Ethiopia, prenatal HIV test uptake had significant spatial variations across the country. Both individual- and community-level determinants were found to be associated with prenatal HIV test uptake in Ethiopia. Hence, the impact of these determinants should be recognized while developing strategies in “cold spot” areas of prenatal HIV test uptake to enhance prenatal HIV test uptake in Ethiopia.

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Section: Methodsmentioning

confidence: 99%

Individual and community-level determinants and spatial distribution of prenatal HIV test uptake in Ethiopia: Spatial and multilevel analysis

Tsega

Belay²,

Asratie³

et al. 2023

Front. Public Health

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“…Internal and external factors influence the prevalence of geohelminth infections in different areas. Internal factors such as poor community hygiene, socioeconomic factors, and the education level of farmers who tend to be low may lead to unhealthy habits that facilitate the transmission of geohelminth infection (17)(18). Respondents with bad habits, such as frequent contact with the ground, poor use of Protective Personal Equipment (PPE), bathing and defecating in rivers, and risk of geohelminth infection.…”

Section: Discussionmentioning

confidence: 99%

Spatial Map of Geohelminths Infection in Agricultural Communities and its Contamination in Soil of Jatian Village, Jember Regency

Yunita Armiyanti,

Nuramna,

Afiful Jauhani

et al. 2023

JKL

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Introduction: Geohelminth infections are a neglected global health problem. Data from the World Health Organization (WHO) in 2020 show that more than 24% of the world population is infected by geohelminths. The condition of the agricultural soil, which tends to be loose and moist, supports the development of the infective form of the geohelminth. This makes agricultural communities susceptible to geohelminth infections. This study aimed to determine a spatial map of geohelminth infection in agricultural communities and its contamination in the soil of Jatian Village, Jember Regency. Methods: This study used an observational analytical design and a spatial analysis approach. Sampling was performed using a random sampling method that included 43 samples. Data were obtained by examining soil and stool samples and the coordinates of the sampling locations. Data were analyzed using spatial analysis. Results and Discussion: The results of this study indicated that the prevalence of geohelminth infection in agricultural communities was 23.3%, and its contamination in the soil was 6.98%. Hookworms caused infections among respondents, and contamination in the ground was caused by Hookworms and Strongyloides stercoralis. Clustering analysis results showed that geohelminth infection formed two secondary clusters. Spatial autocorrelation and buffer analysis showed clustering of geohelminth infections within the buffer range (<100 m), indicating that the infection spreads more easily within the cluster. Conclusion: The spatial map showed the distribution pattern of clustered geohelminth infection cases and their contamination in soil within proximity, thereby increasing the risk of geohelminth transmission.

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Deworming among preschool age children in sub-Saharan Africa: pooled prevalence and multi-level analysis

et al. 2022

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Background Sub-Saharan Africa (SSA) preschool age children are more vulnerable to soil-transmitted helminths (STH) which caused millions of morbidity because of low socioeconomic status and lack of clean water and sanitation. Despite this problem, there is minimal evidence on the prevalence and factors associated with deworming medication utilization among preschool age children (pre-SAC) in SSA regions. Hence this study aimed to assess the prevalence and determinants of deworming among preschool age children in SSA. Methods Demographic and Health Survey (DHS) data were used for this study with a total weighted 192,652 children aged 24–59 months. Taking deworming medication in the 6 months preceding the interview was our outcome of interest. A multi-level binary logistic regression model was fitted. Adjusted odds ratio (AOR) with 95% confidence interval (CI) was taken to identify significant variables. Results The prevalence of deworming medication utilization among preschool age children in SSA was 45.03% (95% CI 44.46%, 45.60%), ranging from 41.82% in Malawi to 50.5% in Lesotho. It was 44.91% (95% CI 44.32%, 45.51%) among countries having endemic STH infection and 46.01% (95% CI 43.64%, 48.38%) for none endemic countries. Factors such as; secondary and above women education [AOR = 2.18; 95% CI 2.10, 2.26], occupation [AOR = 1.31; 95% CI 1.27, 1.34], having ≥ 11 family members [AOR = 0.68; 95% CI 0.64, 0.70], household media exposure [AOR = 1.16; 95% CI 1.13, 1.19] and richer wealth status [AOR = 1.23; 95% CI 1.16, 1.27], vitamin A supplementation [AOR = 6.18; 95% CI 6.02, 6.33] and living rural residence [AOR = 0.94; 95% CI 0.92, 0.98] have significantly associated with deworming among preschool age children. Conclusions Utilization of deworming medication among pre-SAC children in sub-Saharan Africa is below half. Factors, such as the education status of women, family size, household media exposure, wealth status, diarrhea, vitamin A supplementation, and residence were significant variables. To increase the utilization of deworming medication for pre-SAC, WHO should work as an integrated approach with other stakeholders, by strengthening women’s education, and media exposure. Maternal employment should be promoted and prior attention should be given to rural children.

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Community and individual level determinants and spatial distribution of deworming among preschool age children in Ethiopia: spatial and multi-level analysis

Cited by 3 publications

References 40 publications

Individual and community-level determinants and spatial distribution of prenatal HIV test uptake in Ethiopia: Spatial and multilevel analysis

Individual and community-level determinants and spatial distribution of prenatal HIV test uptake in Ethiopia: Spatial and multilevel analysis

Spatial Map of Geohelminths Infection in Agricultural Communities and its Contamination in Soil of Jatian Village, Jember Regency

Deworming among preschool age children in sub-Saharan Africa: pooled prevalence and multi-level analysis

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