High prevalence and risk of malaria among asymptomatic individuals from villages with high prevalence of artemisinin partial resistance in Kyerwa district of Kagera region, north-western Tanzania
Authors: Mandai Salehe S. , Francis Filbert , Challe Daniel P. , Seth Misago D. , Madebe Rashid A. , Petro Daniel A. , Budodo Rule , Kisambale Angelina J. , Chacha Gervas A. , Moshi Ramadhan , Mbwambo Ruth B. , Pereus Dativa , Bakari Catherine , Aaron Sijenunu , Mbwambo Daniel , Lusasi Abdallah , Kajange Stella , Lazaro Samuel , Kapologwe Ntuli , Mandara Celine I. , Ishengoma Deus S. 
Published: June 2024

Background

Although Tanzania adopted and has been implementing effective interventions to control and eventually eliminate malaria, the disease is still a leading public health problem, and the country experiences heterogeneous transmission. Recent studies reported the emergence of parasites with artemisinin partial resistance (ART-R) in Kagera region with high prevalence (> 10.0%) in two districts of Karagwe and Kyerwa. This study assessed the prevalence and predictors/risk of malaria infections among asymptomatic individuals living in a hyperendemic area where ART-R has emerged in Kyerwa District of Kagera region, north-western Tanzania.

Methods

This was a community-based cross-sectional survey which was conducted in July and August 2023 and involved individuals aged ≥ 6 months from five villages in Kyerwa district. Demographic, anthropometric, clinical, parasitological, type of house inhabited and socio-economic status (SES) data were collected using electronic capture tools run on Open Data Kit (ODK) software. Predictors/risks of malaria infections were determined by univariate and multivariate logistic regression, and the results were presented as crude (cORs) and adjusted odds ratios (aORs), with 95% confidence intervals (CIs).

Results

Overall, 4454 individuals were tested using rapid diagnostic tests (RDTs), and 1979 (44.4%) had positive results. The prevalence of malaria infections ranged from 14.4% to 68.5% and varied significantly among the villages (p < 0.001). The prevalence and odds of infections were significantly higher in males (aOR = 1.28, 95% CI 1.08 –1.51, p = 0.003), school children (aged 5–≤10 years (aOR = 3.88, 95% CI 3.07–4.91, p < 0.001) and 10–≤15 years (aOR = 4.06, 95% CI 3.22–5.13, p < 0.001)) and among individuals who were not using bed nets (aOR = 1.22, 95% CI 1.03–1.46, p = 0.024). The odds of malaria infections were also higher in individuals with lower SES (aOR = 1.42, 95% CI 1.17–1.72, p < 0.001), and living in houses without windows (aOR = 2.08, 95% CI 1.46–2.96, p < 0.001), partially open (aOR = 1.33, 95% CI 1.11–1.58, p = 0.002) or fully open windows (aOR = 1.30, 95%CI 1.05–1.61, p = 0.015).

Conclusion

The five villages had a high prevalence of malaria infections and heterogeneity at micro-geographic levels. Groups with higher odds of malaria infections included school children, males, and individuals with low SES, living in poorly constructed houses or non-bed net users. These are important baseline data from an area with high prevalence of parasites with ART-R and will be useful in planning interventions for these groups, and in future studies to monitor the trends and potential spread of such parasites, and in designing a response to ART-R.