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16 results for “Schistosoma haematobium”
Schistosoma Haematobium Egg Image Dataset
<p>This dataset comprises the following components:</p> <p>1. SHdataset: It contains 12,051 microscopic images taken from 103 urine samples, along with their corresponding segmentation masks manually annotated for <em>Schistosoma haematobium</em> eggs. The dataset is randomly partitioned into 80-20 train-test splits.</p> <p>2. diagnosis_test_dataset: This dataset includes 65 clinical urine samples. Each sample consists of 117 Field-of-View (FoV) images required to capture the entire filter membrane. Additionally, the dataset includes the diagnosis results provided by an expert microscopist.</p> <p>Samples were obtained from school-age children who had observed the presence of blood in their urine. These clinical urine samples were collected in 20 mL sterile universal containers as part of a field study conducted in the Federal Capital Territory (FCT), Abuja, Nigeria, in collaboration with the University of Lagos, Nigeria. The study received ethical approval from the Federal Capital Territory Health Research Ethics Committee (FCT-HREC) Nigeria (Reference No. FHREC/2019/01/73/18-07-19).</p> <p>The standard urine filtration procedure was used to process the clinical urine samples. Specifically, 10 mL of urine was passed through a 13 mm diameter filter membrane with a pore size of 0.2 μm. After filtration, the membrane was placed on a microscopy glass slide and covered with a coverslip to enhance the flatness of the membrane for image capture. The images were acquired using a digital microscope called the Schistoscope and were saved in PNG format with a resolution of 2028 X 1520 pixels and a size of approximately 2 MB.</p> <p>The annotation and microscopy analysis were performed by a team of two experts from the ANDI Centre of Excellence for Malaria Diagnosis, College of Medicine, University of Lagos, and Centre de Recherches Medicales des Lambaréné, CERMEL, Lambarene. The experts used the coco annotation tool to annotate the 12,051 images, creating polygons around the <em>Schistosoma haematobium</em> eggs. The output of the annotation process was a JSON file containing specific details about the image storage location, size, filename, and coordinates of all annotated regions.</p> <p>The segmentation mask images were generated from the JSON file using a Python program. The SHdataset was used to develop an automated diagnosis framework for urogenital schistosomiasis, while the diagnosis_test_dataset was used to compare the performance of the developed framework with the results from the expert microscopist.</p> <p>For further details about the dataset, more information can be found in the following articles:</p> <p>1. Oyibo, P., Jujjavarapu, S., Meulah, B., Agbana, T., Braakman, I., van Diepen, A., Bengtson, M., van Lieshout, L., Oyibo, W., Vdovine, G., and Diehl, J.C. (2022). "Schistoscope: an automated microscope with artificial intelligence for detection of Schistosoma haematobium eggs in resource-limited settings." <em>Micromachines</em>, 13(5), p.643.</p> <p>2. Oyibo, P., Meulah, B., Bengtson, M., van Lieshout, L., Oyibo, W., Diehl, J.C., Vdovine, G., and Agbana, T. (2023). "Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings." <em>Journal of Medical Imaging</em>. [Accepted Manuscript]</p>
Figure 2 in Cooccurrence of Schistosoma haematobium, other trematode parasites, an annelid (Chaetogaster limnaei limnaei), and a nematode parasite (Daubaylia potomaca) in Bulinus globosus
Figure 2. Prevalence of single infections of the symbionts in Bulinus globosus.
Figure 1 in Cooccurrence of Schistosoma haematobium, other trematode parasites, an annelid (Chaetogaster limnaei limnaei), and a nematode parasite (Daubaylia potomaca) in Bulinus globosus
Figure 1. Map showing Nike Lake in Enugu East LGA, Enugu State, Nigeria.
Figure 4 in Cooccurrence of Schistosoma haematobium, other trematode parasites, an annelid (Chaetogaster limnaei limnaei), and a nematode parasite (Daubaylia potomaca) in Bulinus globosus
Figure 4. Mean intensity of single and coinfections of the symbionts in Bulinus globosus.
Figure 3 in Cooccurrence of Schistosoma haematobium, other trematode parasites, an annelid (Chaetogaster limnaei limnaei), and a nematode parasite (Daubaylia potomaca) in Bulinus globosus
Figure 3. Prevalence of coinfections of the symbionts in Bulinus globosus.
Exposure, hazard and vulnerability all contribute to Schistosoma haematobium re-infection in northern Senegal
<p>The risk of infectious diseases, including snail-borne schistosomiasis, is determined by three interrelated components: exposure, hazard and vulnerability. For schistosomiasis, exposure occurs through behaviors involving water contact, but not without the environmental hazard of snails and parasites in the water. Socio-economic vulnerability makes it difficult to reduce exposure in the presence of hazard, because it increases reliance on hazardous activities and environments. We aimed to quantify the contributions of exposure, hazard and vulnerability to schistosome re-infection presence and intensity. We used cross-sectional parasitological data from 821 school-aged children in 13 villages along the Senegal River, survey data from 411 households where those children resided and ecological data from all 24 village water contact sites. We fit mixed-effects logistic and negative binomial regressions with indices of exposure, hazard and vulnerability as explanatory variables of <i>Schistosoma haematobium</i> infection, along with demographic control variables. Multi-model inference was used to determine the relative importance of each component of risk and model averaging was used to quantify associations between infection outcomes and indices of hazard, exposure and vulnerability. The most important component of <i>S. haematobium </i>presence was hazard (Ʃw<sub>i =</sub> 0.95), followed by vulnerability (Ʃw<sub>i</sub> = 0.91), while the most important component of <i>S. haematobium </i>intensity was exposure (Ʃw<sub>i</sub> = 1.00), followed by hazard (Ʃw<sub>i</sub> = 0.77). Hazard was positively associated with infection presence (OR = 1.49, 95% CI 1.12, 1.97), while exposure was positively associated with infection intensity. Our findings highlight how social (exposure and vulnerability) and environmental (hazard) processes act together to facilitate the acquisition and accumulation of schistosome infection from the environment across time and space. This approach can inform targeting of social and environmental interventions as complements to mass drug administration.</p>
Exposure, hazard and vulnerability all contribute to Schistosoma haematobium re-infection in northern Senegal
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Data from: Phylogeny of seven Bulinus species originating from endemic areas in three African countries, in relation to the human blood fluke Schistosoma haematobium
Background: Snails species belonging to the genus Bulinus (Planorbidae) serve as intermediate host for flukes belonging to the genus Schistosoma (Digenea, Platyhelminthes). Despite its importance in the transmission of these parasites, the evolutionary history of this genus is still obscure. In the present study, we used the partial mitochondrial cytochrome oxidase subunit I (cox1) gene, and the nuclear ribosomal ITS, 18S and 28S genes to investigate the haplotype diversity and phylogeny of seven Bulinus species originating from three endemic countries in Africa (Cameroon, Senegal and Egypt). Results: The cox1 region showed much more variation than the ribosomal markers within Bulinus sequences. High levels of genetic diversity were detected at all loci in the seven studied species, with clear segregation between individuals and appearance of different haplotypes, even within same species from the same locality. Sequences clustered into two lineages; (A) groups Bulinus truncatus, B. tropicus, B. globosus and B. umbilicatus; while (B) groups B. forskalii, B. senegalensis and B. camerunensis. Interesting patterns emerge regarding schistosome susceptibility: Bulinus species with lower genetic diversity are predicted to have higher infection prevalence than those with greater diversity in host susceptibility. Conclusion: The results reported in this study are very important since a detailed understanding of the population genetic structure of Bulinus is essential to understand the epidemiology of many schistosome parasites.
Performance of Tests for Schistosoma Haematobium Diagnosis
ClinicalTrials.gov study NCT06808750. IPD Sharing: YES. Countries: 1. Publications: 0.
The Chinese-made Praziquantel for Treatment of Schistosoma Haematobium
ClinicalTrials.gov study NCT03133832. IPD Sharing: NO. Countries: 1. Publications: 1.
Schistosoma Haematobium Infections and Praziquantel
ClinicalTrials.gov study NCT01558336. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Efficacy of Bilhvax in Association With Praziquantel for Prevention of Clinical Recurrences of Schistosoma Haematobium
ClinicalTrials.gov study NCT00870649. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Phylogeny of seven Bulinus species originating from endemic areas in three African countries, in relation to the human blood fluke Schistosoma haematobium
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Gene Expression Differences in Host Response to Schistosoma haematobium Infection
GEO Series GSE144206. Homo sapiens. 33 samples. Type: Expression profiling by high throughput sequencing.
Improved detection of DNA Schistosoma haematobium from eggs extracted by bead beating in urine
<p>Diagnosis of Schistosoma haematobium relies primarily on microscopical analysis of urine. The method is time consuming and<br> requires some expertise. Genus-specific real-time PCRs have been developed, but we still observed low sensitivity. In the present<br> study, in order to achieve a more sensitive DNA detection of eggs of S. haematobium in urine samples, we wanted to develop a<br> novel protocol of DNA extraction using mechanic disruption of eggs by bead beating as supplementary step. We tested<br> Schistosoma spp. internal transcribed spacer 2 real-time PCR after both methods with and without bead beating. First, we<br> preliminary assessed the DNA detection after bead beating using dilution of 2, 10, 50, and 90 eggs/10 mL, and the Ct value<br> analysis showed significant improved DNA detection per each point of egg concentration using the novel supplementary step.<br> Twenty microscopy positive and five microscopy negative urine samples were used to validate the procedure. All urines came<br> from imported cases and admitted at center for tropical medicine, and were examined by microscopy. PCR results after novel<br> method with bead beating showed 100% to be positive for S. haematobium, compared with 85% positive by our standard<br> extraction procedure. Results confirmed mechanic disruption of eggs by bead beating before DNA extraction to be highly<br> effective method for the detection of S. haematobium DNA in urine.</p>
Influence of Transmission Season on Outcome of Treatment of Schistosoma Haematobium Infection in Mozambique
ClinicalTrials.gov study NCT00231322. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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