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Parasitologia, Volume 5, Issue 4 (December 2025) – 4 articles

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22 pages, 520 KB  
Review
Prevalence of Human and Animal African Trypanosomiasis in Nigeria: A Scoping Review
by Chinwe Chukwudi, Elizabeth Odebunmi and Chukwuemeka Ibeachu
Parasitologia 2025, 5(4), 53; https://doi.org/10.3390/parasitologia5040053 - 11 Oct 2025
Viewed by 340
Abstract
African trypanosomiasis is a protozoan disease that affects both humans and animals. Human African Trypanosomiasis (HAT) is a Neglected Tropical Disease targeted for elimination in 2030. Although WHO has not reported HAT from Nigeria in the last decade, there are published studies reporting [...] Read more.
African trypanosomiasis is a protozoan disease that affects both humans and animals. Human African Trypanosomiasis (HAT) is a Neglected Tropical Disease targeted for elimination in 2030. Although WHO has not reported HAT from Nigeria in the last decade, there are published studies reporting seroprevalence, parasite detection/isolation, and animal reservoirs potentially involved in HAT transmission in Nigeria. Interestingly, the burden of Animal African Trypanosomiasis (AAT) continues to increase. In this study, we synthesized published reports on the prevalence of HAT and AAT in Nigeria from 1993–2021, the trypanosome species involved, the spread of animal reservoirs, and the variability in diagnostic methodologies employed. A scoping review was performed following the methodological framework outlined in PRISMA-ScR checklist. Sixteen eligible studies published between 1993 and 2021 were reviewed: 13 for AAT and 3 for HAT. Varying prevalence rates were recorded depending on the diagnostic methods employed. The average prevalence reported from these studies was 3.3% (HAT), and 27.3% (AAT). Diagnostic methods employed include microscopy, PCR and Card Agglutination Test for Trypanosomiasis (CATT). Cattle, pigs, and dogs were identified as carriers of human-infective trypanosomes. This study highlights the scarcity of HAT epidemiological studies/data from Nigeria, the high prevalence, complex epidemiology, limited attention and surveillance of African Trypanosomiasis in Nigeria. Remarkably, WHO records do not reflect the published data showing evidence of HAT prevalence/cases in Nigeria. Unfortunately, diagnostics challenges and unrealistic disease reporting protocols seem to limit HAT reporting from Nigeria. Therefore, adequately coordinated epidemiological surveys and targeted intervention policies are imperative to ascertain the true epidemiological status of HAT in Nigeria and prevent disease re-emergence towards achieving WHO’s elimination targets. The presence of animal carriers of human-infective trypanosomes underscores the importance of a one-health approach to combat African trypanosomiasis effectively. Full article
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16 pages, 2540 KB  
Article
Monthly and Daily Dynamics of Stomoxys calcitrans (Linnaeus, 1758) (Diptera: Muscidae) in Livestock Farms of the Batna Region (Northeastern Algeria)
by Chaimaa Azzouzi, Mehdi Boucheikhchoukh, Noureddine Mechouk, Scherazad Sedraoui and Safia Zenia
Parasitologia 2025, 5(4), 52; https://doi.org/10.3390/parasitologia5040052 - 2 Oct 2025
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Abstract
Stomoxys calcitrans (Linnaeus, 1758) is a hematophagous fly species of veterinary importance, known for its negative effects on animal health and productivity. The stress caused by their painful bites results in losses in milk and meat production. Despite its impact, data on its [...] Read more.
Stomoxys calcitrans (Linnaeus, 1758) is a hematophagous fly species of veterinary importance, known for its negative effects on animal health and productivity. The stress caused by their painful bites results in losses in milk and meat production. Despite its impact, data on its ecology and activity in Algeria are lacking. Such knowledge is needed to evaluate its potential effects on livestock production and rural health, and to support surveillance, outbreak prediction, and control strategies. This study aimed to investigate the monthly and daily dynamics of S. calcitrans in livestock farms in the Batna region and evaluate the influence of climatic factors on its abundance. From July 2022 to July 2023, Vavoua traps were placed monthly from 7 a.m. to 6 p.m. on four farms in the Batna region, representing different livestock types. Captured flies were identified, sexed, and counted every two hours. Climatic data were collected both in situ and from NASA POWER datasets. Fly abundance was analyzed using non-parametric statistics, Spearman’s correlation, and multiple regression analysis. A total of 1244 S. calcitrans were captured, mainly from cattle farms. Activity occurred from August to December, with a peak in September. Males were more abundant and exhibited a bimodal activity in September. Fly abundance was positively correlated with temperature and precipitation and negatively correlated with wind speed and humidity. This study presents the first ecological data on S. calcitrans in northeastern Algeria, highlighting its seasonal dynamics and the climatic drivers that influence it. The results highlight the species’ preference for cattle and indicate that temperature and rainfall are key factors influencing its abundance. These findings lay the groundwork for targeted control strategies against this neglected pest in Algeria. Full article
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8 pages, 569 KB  
Case Report
Abdominal Subcutaneous Dirofilariasis Due to Dirofilaria repens in a 34-Year-Old Sicilian Woman: Diagnostic Challenges and Molecular Confirmation
by Roberta Virruso, Valeria Gargano, Francesco Scarlata, Stefano Rizzuto, Antonio Vella, Rita Immordino, Teresa Fasciana, Walter Razete, Giovanni Maurizio Giammanco and Cinzia Calà
Parasitologia 2025, 5(4), 51; https://doi.org/10.3390/parasitologia5040051 - 1 Oct 2025
Viewed by 133
Abstract
Human subcutaneous dirofilariasis caused by Dirofilaria repens is an emerging zoonotic parasitic infection increasingly observed in southern Europe. We report a case of a woman from western Sicily, who likely acquired the infection locally through a mosquito bite. The high prevalence of D. [...] Read more.
Human subcutaneous dirofilariasis caused by Dirofilaria repens is an emerging zoonotic parasitic infection increasingly observed in southern Europe. We report a case of a woman from western Sicily, who likely acquired the infection locally through a mosquito bite. The high prevalence of D. repens in the local canine population (up to 20.4%) suggests a role of dogs as a probable reservoir for transmission to humans in the local population. With ultrasound analysis being inconclusive, only after surgical removal was the presence of an adult worm evident, and only after molecular analysis through DNA sequencing of the cytochrome oxidase subunit I gene (COI) could a definitive D. repens infection diagnosis be obtained. This case highlights the need for enhanced vector control, animal health surveillance and public awareness to limit the transmission to humans of D. repens. A correct parasitological diagnosis would be imperative for the recognition of human cases. Full article
17 pages, 9066 KB  
Article
MLens: Advancing the Real-Time Detection, Identification, and Counting of Pathogenic Microparasites Through a Web Interface
by Gustavo Souza Carneiro, Karoliny Caldas Xavier, José Ledamir Sindeaux-Neto, Alanna do Socorro Lima da Silva and Michele Velasco Oliveira da Silva
Parasitologia 2025, 5(4), 50; https://doi.org/10.3390/parasitologia5040050 - 23 Sep 2025
Viewed by 418
Abstract
In this study, a diverse collection of images of myxozoans from the genera Henneguya and Myxobolus was created, providing a practical dataset for application in computer vision. Four versions of the YOLOv5 network were tested, achieving an average precision of 97.9%, a recall [...] Read more.
In this study, a diverse collection of images of myxozoans from the genera Henneguya and Myxobolus was created, providing a practical dataset for application in computer vision. Four versions of the YOLOv5 network were tested, achieving an average precision of 97.9%, a recall of 96.7%, and an F1 score of 97%, demonstrating the effectiveness of MLens in the automatic detection of these parasites. These results indicated that machine learning has the potential to make microparasite detection more efficient and less reliant on manual work in parasitology. The beta version of the MLens showed strong performance, and future improvements may include fine-tuning the WebApp hyperparameters, expanding to other myxosporean genera, and refining the model to handle more complex optical microscopy scenarios. This work presented a significant advancement, opening new possibilities for the application of machine learning in parasitology and substantially accelerating parasite detection. Full article
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