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opencc-by-4.0Apr 2014View details →

Fig. 1 in Use of filter papers to determine seroprevalence of Toxoplasma gondii among hunted ungulates in remote Peruvian Amazon

Fig. 1. Animals were hunted in the area surrounding the community of Nueva Esperanza, the only permanent settlement located along the Yavarí-Mirín River. The study site's geographic remoteness reflects extremely limited contact with domestic animals and humans, which eliminates the effect of spillover from domestic animals as a potential source of infection for wildlife. The data from this study are likely to shed light on the maintenance of T. gondii in its natural environment.

opencc-by-4.0Dec 2021View details →

Seroprevalence of anti-SARS-CoV-2 antibodies among communities in Bangui, Central African Republic

<p>Significance for public health</p> <p>This is a serological survey conducted in the Central Africa Republic among the general urban population not vaccinated against COVID-19. Its reveals a high cumulative level of immunity, thus indicating a significant degree of spread of SARS-CoV-2 in the population. More comprehensive studies to explore the impact of new variants on this quasi-herd-immunity as well as its effect on the immunity in people vaccinated against COVID-19.</p>

Figure 5 in Toxoplasma gondii in beef consumed in France: regional variation in seroprevalence and parasite isolation

Figure 5. Comparison of observed values versus predicted values by the final model according to age. The observed values are in green bars, while for the predicted values the red point represents the mean prediction and the blue segment the 95% confidence interval of the prediction. The number above the blue segment is the number of observations for this particular class of age.

Figure 2 in Toxoplasma gondii in beef consumed in France: regional variation in seroprevalence and parasite isolation

Figure 2. Geographical variation of Toxoplasma gondii seroprevalence of French bovine samples according to the area of slaughtering and to age categories: (A) calves; (B) adults; (C) bovines overall (calves and adults). The numbers represent the number of samples collected for each region.

Figure 1 in Toxoplasma gondii in beef consumed in France: regional variation in seroprevalence and parasite isolation

Figure 1. (A) Map of French beef production according to the Ministry of Agriculture database. The colour gradient represents the number of cattle slaughtered in 2007. (B) The numbers represent the number of slaughterhouses per region that were included in the cross-sectional survey of Toxoplasma gondii presence in beef produced in France.

Figure 4 in Toxoplasma gondii in beef consumed in France: regional variation in seroprevalence and parasite isolation

Figure 4. Seroprevalence of Toxoplasma gondii infection in bovines of French origin (adults + calves) accordingly to the age and the titer (6; 10; 25; 50; 100; 200).

Figure 3 in Toxoplasma gondii in beef consumed in France: regional variation in seroprevalence and parasite isolation

Figure 3. Terminal titer of the modified agglutination test (MAT) for French origin samples in relation to age (A) for all samples (n = 2348) (age in years); (B) only for bovines less than 1 year (n = 601) (age in months). The number of observations at each month of age is given at the top of the corresponding bar.

opencc-by-4.0Apr 2024View details →

Fig. 2 in Seroprevalence of Toxoplasma gondii in wild boars (Sus scrofa) hunted in Ukraine

Fig. 2. Box plot of Toxoplasma gondii serology results from wild boars from Ukraine, obtained using a locally available enzyme-linked immunosorbent assay and majority criteria based on results of three tests (locally available enzyme-linked immunosorbent assay (ELISA), commercial ELISA (ID Screen Toxoplasmosis Indirect Multi-Species), and an indirect immunofluorescence test (IFAT)). ELISA proportion (OD sample/mean OD of positive controls *100) using the locally available ELISA is on the Y-axis and majority criteria is on the X-axis.

opencc-by-4.0Apr 2024View details →

Fig. 1 in Seroprevalence of Toxoplasma gondii in wild boars (Sus scrofa) hunted in Ukraine

Fig. 1. Seroprevalence of Toxoplasma gondii infection among wild boars by region in Ukraine, based on results from a locally available enzyme-linked immunosorbent assay (ELISA). For regions with at least one seropositive wild boar, the number of seropositive wild boards out of number of tested wild boars is shown.

Fig. 4 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP

Fig. 4. Phylogenetic tree from maximum likelihood analysis of MSP nucleotide sequences of marine and terrestrial mammal parasitic nematodes including GenBank accession numbers. The percentage of replicate trees in which the associated species clustered together in the bootstrap test (1000 replicates) is shown next to the branches.

Fig. 5 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP

Fig. 5. Phylogenetic tree from maximum likelihood analysis of MSP amino acid sequences of marine and terrestrial mammal parasitic nematodes including GenBank accession numbers. The percentage of replicate trees in which the associated species clustered together in the bootstrap test (1000 replicates) is shown next to the branches. *amino acid sequence translated from EST sequences.

Fig. 3 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP

Fig. 3. Alignment of MSP amino acid sequences of marine and terrestrial mammal parasitic nematodes using the Clustal W method.

Fig. 2 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP

Fig. 2. Alignment of MSP nucleotide sequences of marine and terrestrial mammal parasitic nematodes using the Clustal W method.

Fig. 1 in Lungworm seroprevalence in free-ranging harbour seals and molecular characterisation of marine mammal MSP

Fig. 1. Anthelmintic treatment pattern, blood sampling time points and corresponding OD values of harbour seals in rehabilitation. Harbour seals (n = 6) were treated twice with ivermectin at arrival (day 1) at the Seal Rehabilitation and Research Centre, Pieterburen, The Netherlands, and 21 days later and once with mebendazole between day 2 and 6. OD values in grey boxes show lungworm-ELISA positive serum samples, those highlighted in blue lungworm-ELISA negative samples. Harbour seal individuals highlighted in dark grey coughed up lungworms one day after arrival. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Fig. 3 in Seroprevalence of Borrelia burgdorferi antibodies in white-tailed deer from Texas

Fig. 3. Assays used to demonstrate reactivity to Borrelia burgdorferi antigens in white-tailed deer serum samples. (A.) The molecular weight marker (Mk) showing estimated molecular weights of Borrelia antigens (Bb). (B.) From left to right, negative control samples (1—5) and samples highly sero-reactive (6—12). The three immunoassays used were ELISA, standardized western immunoblot (WB) and Marblot (MB) assays.

Fig. 2 in Seroprevalence of Borrelia burgdorferi antibodies in white-tailed deer from Texas

Fig. 2. Optical density values of the white-tailed deer (WTD) serum samples analyzed with indirect ELISA for Borrelia burgdorferi. (A.) ELISA data from 109 WTD serum samples used as negative controls, collected from 2003 to 2015. (B.) ELISA data from 1384 WTD serum samples collected from 2001 to 2013. The dashed line denotes the cut off value used in this study. The samples above this line were analyzed with standardized western immunoblot assay.

Fig. 4 in Seroprevalence of Borrelia burgdorferi antibodies in white-tailed deer from Texas

Fig. 4. Confirmed human Lyme Disease cases in Texas from 2000 to 2013 reported to the CDC (www.cdc.com).

Fig. 5 in Seroprevalence of Borrelia burgdorferi antibodies in white-tailed deer from Texas

Fig. 5. White-tailed deer (WTD) population density in Texas eco-regions from 2005 to 2013. This graph is a representation of WTD population density statewide in Texas; in two counties (Travis and Williamson) where sero-reactive samples, and negative control samples for Borrelia burgdorferi antibodies were found.

Fig. 1. Texas map showing 14 in Seroprevalence of Borrelia burgdorferi antibodies in white-tailed deer from Texas

Fig. 1. Texas map showing 14 counties in which white-tailed deer (WTD) were sampled for Borrelia burgdorferi antibodies from 2001 to 2015. Blue counties: samples negative by ELISA and standardized western immunoblot; Gray counties: negative control samples; Yellow counties: samples sero-reactive by standardized western immunoblot assay (Travis and Williamson counties). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)