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2,667 results for “Prevalence”

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zenodo36/100

Supporting publication for 'Guidelines for reporting 2018 prevalence sample-based data in accordance with SSD2 data model'

<p>These two Excel documents help you to map terms from the matrix catalogue ZOO_CAT_MATRIX used in the aggregated prevalence&nbsp;data model to FoodEx2 codes and offer you examples on how prevalence data can be reported using SSD2</p>

opencc-by-4.0Jan 2019View details →
zenodo36/100

STI IN TIMES OF PREP: HIGH PREVALENCE OF CHLAMYDIA, GONORRHOEA, AND MYCOPLASMA AT DIF-FERENT ANATOMIC SITES IN MEN WHO HAVE SEX WITH MEN IN GERMANY

<p><strong>Background</strong>: Men who have sex with men (MSM) are disproportionally affected by sexually transmitted infections (STI). STI are often extragenital and asymptomatic. Both can delay diagnosis and treatment. HIV-positive (HIV+) MSM often show higher STI-prevalence than HIV-negative MSM (HIV-). Approval of HIV pre-exposure prophylaxis (PrEP) might have influenced sexual behaviour and STI-prevalence of HIV- MSM. We estimated STI-prevalence and risk factors amongst HIV- and HIV+ MSM in Germany to plan effective interventions.</p> <p><strong>Methods</strong>: We conducted a nationwide, cross-sectional study between 2/2018-7/2018. Thirteen MSM-friendly STI-practices screened MSM for <em>Chlamydia trachomatis (CT)</em>, <em>Mycoplasma genitalium</em> (MG), <em>Neisseria gonorrhea (NG)</em>, and <em>Trichomonas vaginalis</em> (TV) using self-collected rectal and pharyngeal swabs, and urine samples. APTIMA<sup>TM</sup> STI-assays (Hologic<sup>TM</sup> Inc., San Diego, USA) were used for diagnostics, and samples were not pooled. We collected information on socio-demographics, HIV-status, clinical symptoms, sexual behaviour within the last 6 months, and PrEP-use. We combined HIV status and PrEP use for defining risk groups, and used multivariate logistic regression to identify risk factors for STI.</p> <p><strong>Results</strong>: 2,303 MSM were included: 50.5% HIV+, median age 39 [18-79] years. Median number of male sex partners within the last six months was 5. Unprotected anal intercourse (active and/or passive, UAI) was reported by 73.2%, 43.5% use of party drugs. 78.9% had a STI history, 32.1% of STI+ MSM reported STI-related symptoms. 27.6% of HIV- MSM used PrEP.</p> <p>Overall STI-prevalence was 30,1%, and 25.0% in HIV-/PrEP- MSM (CT:7.2%; MG:14.2%; NG:7.4%; TV:0%), 40.3% in HIV-/PrEP+ MSM (CT:13.8%; MG:19.4%; NG:14.8%; TV:0.4%), and 30.8% in HIV+ MSM (CT:10.1%; MG:18.4%; NG:8.6%; TV:0.1%).</p> <p>Independent risk factors were HIV/PrEP-status (HIV-/PrEP+ OR:1.4; 95%-CI:1.0-2.0; HIV+ OR:1.5; 95%-CI:1.1-1.9), &gt;5 sex partners (OR:1.5; 95%-CI:1.2-1.9), UAI (OR:1.9; 95%-CI:1.5-2.6), and use of party drugs (OR:1.5; 95%-CI:1.2-2.0).</p> <p><strong>Conclusions</strong>: We found a high STI-prevalence in MSM in Germany, especially in PrEP users, frequently being asymptomatic. Higher STI prevalence in PrEP users than in HIV+ MSM was partly explained by differences in risk behaviour. As a relevant proportion of PrEP users will not use a condom, counselling and comprehensive STI screening is essential and should be low threshold and preferably free of cost. Counselling of PrEP users should also address use of party drugs.</p>

opencc-by-4.0Sep 2019View details →
zenodo36/100

Figure. Location of Beymelek Lagoon in southern Turkey. in Prevalence and intensity of parasitic helminths of thicklip grey mullet Chelon labrosus in hosts in Beymelek Lagoon Lake in Antalya, Turkey, according to season, host size, age, and sex of the host

Figure. Location of Beymelek Lagoon in southern Turkey.

opencc-by-4.0Nov 2014View details →
zenodo36/100

Figure 4 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification

Figure 4. Caligus minimus male (A), caudal rami (B), lunules (C), sternal furca (D).

opencc-by-4.0Aug 2015View details →
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Figure 2 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification

Figure 2. Caligus minimus on mouth cavity (A) and tongue (B) of Dicentrarchus labrax.

opencc-by-4.0Aug 2015View details →
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Figure 1 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification

Figure 1. Sampling area.

opencc-by-4.0Aug 2015View details →
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Fig. 1 in Biotic and abiotic factors influencing the prevalence, intensity and distribution of Eucoleus aerophilus and Crenosoma vulpis in red foxes, Vulpes vulpes from Romania

Fig. 1. Distribution of Crenosoma vulpis and Eucoleus aerophilus in Romania.

opencc-by-4.0Aug 2020View details →
zenodo36/100

Fig. 2 in Prevalence of avian haemosporidians among understorey birds of Mt. Banahaw de Lucban, Philippines.

Fig. 2. Species composition of birds captured in 745–800 m sampling area

opencc-by-4.0Jun 2015View details →
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Fig. 3 in Prevalence of avian haemosporidians among understorey birds of Mt. Banahaw de Lucban, Philippines.

Fig. 3. Species composition of birds captured in 1500–1600 m sampling area

opencc-by-4.0Jun 2015View details →
zenodo36/100

Fig. 1 in Whale lice (Isocyamus deltobranchium & Isocyamus delphinii; Cyamidae) prevalence in odontocetes off the German and Dutch coasts - morphological and molecular characterization and health implications

Fig. 1. Map of German and Dutch coast with sampling locations of harbour porpoises and pilot whale.

opencc-by-4.0Aug 2021View details →
zenodo36/100

Fig. 1 in Prevalence and new genotypes of Enterocytozoon bieneusi in wild rhesus macaque (Macaca mulatta) in China: A zoonotic concern

Fig. 1. Specific locations at which specimens were collected in this study.

opencc-by-4.0Aug 2022View details →
zenodo36/100

Fig. 4 in Prevalence of fish-borne zoonotic trematode infection in Jilin Province, China

Fig. 4. The number of FZTs infecting wild freshwater fish of different sizes.

opencc-by-4.0Aug 2022View details →
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Fig. 1 in Prevalence of fish-borne zoonotic trematode infection in Jilin Province, China

Fig. 1. Sampling sites of freshwater fish, freshwater snails and the definitive hosts' feces.

opencc-by-4.0Aug 2022View details →
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Figure 3. A in Prevalence of intestinal nematodes infection in school children of urban areas of district Lower Dir, Pakistan

Figure 3. A. lumbricoides fertile egg.

opencc-by-4.0Sep 2022View details →
zenodo36/100

Figure 2. A in Prevalence of intestinal nematodes infection in school children of urban areas of district Lower Dir, Pakistan

Figure 2. A. lumbricoides unfertile egg.

opencc-by-4.0Sep 2022View details →
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Figure 6 in Prevalence of intestinal nematodes infection in school children of urban areas of district Lower Dir, Pakistan

Figure 6. Trichuris trichiura.

opencc-by-4.0Sep 2022View details →
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Figure 5 in Prevalence of intestinal nematodes infection in school children of urban areas of district Lower Dir, Pakistan

Figure 5. Trichuris trichiura.

opencc-by-4.0Sep 2022View details →
zenodo36/100

Fig. 1 in High prevalence of Batrachochytrium dendrobatidis in an Andean frog community (Reserva Las Gralarias, Ecuador)

Fig. 1. Swab sample obtained from Centrolene heloderma at Reserva Las Gralarias, Ecuador.

opencc-by-4.0Aug 2014View details →
zenodo36/100

Prevalence and Factors Associated with the Use of Traditional Medicine in Individuals with Hypercholesterolemia, Hyperglycaemia, and Arterial Hypertension in Ecuador: Results from a Population-based Study in Two Health Districts

Open the record for dataset details and reuse information.

opencc-by-4.0Mar 2024View details →
zenodo36/100

Table 1 in Prevalence and new genotypes of Enterocytozoon bieneusi in sheltered dogs and cats in Sichuan province, southwestern China

<p><b>Table 1.</b> Prevalence and genotypes of <i>E. bieneusi</i> in sheltered dogs from different cities and sources in Sichuan province, southwestern China.</p><table><tbody><tr><th>City</th><th>Source</th><th>No. examined</th><th>No. positive</th><th>Prevalence (%)</th><th>OR (95% CI)</th><th><i>p-</i> value</th><th>Genotypes (<i>n</i>)</th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td>(95% CI)</td><td></td><td></td><td></td></tr><tr><th>Chengdu</th><td>Shuangliu</td><td>158</td><td>16</td><td>10.1% (5.4&ndash;14.8)</td><td>Reference</td><td></td><td>CD9 (8); PtEb IX (7); SCD-1 (1)</td></tr><tr><th></th><td>Wenjiang</td><td>250</td><td>80</td><td>32.0% (26.2&ndash;37.8)</td><td>4.176</td><td>0.000</td><td>CD9 (79); PtEb IX (1)</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>(2.336&ndash;7.468)</td><td></td><td></td></tr><tr><th>Ya&rsquo; an</th><td>Yucheng</td><td>228</td><td>36</td><td>15.8% (11.1&ndash;20.5)</td><td>1.664</td><td>0.112</td><td>CD9 (4); PtEb IX (32)</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>(0.888&ndash;3.117)</td><td></td><td></td></tr><tr><th>Panzhihua</th><td>Dongqu</td><td>44</td><td>2</td><td>4.5% (<i>&mdash;</i> 1.6&ndash;10.7)</td><td>0.423</td><td>0.264</td><td>CD9 (1); PtEb IX (1)</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>(0.093&ndash;1.913)</td><td></td><td></td></tr><tr><th>Guangyuan</th><td>Lizhou</td><td>44</td><td>2</td><td>4.5% (<i>&mdash;</i> 1.6&ndash;10.7)</td><td>0.423</td><td>0.264</td><td>Type IV (1); SCD-2 (1)</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>(0.093&ndash;1.913)</td><td></td><td></td></tr><tr><th>Total</th><td></td><td>724</td><td>136</td><td>18.8% (15.9&ndash;21.6)</td><td></td><td></td><td>CD9 (92); PtEb IX (41);</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td>Type IV (1); SCD-1 (1); SCD-2 (1)</td></tr></tbody></table>

opencc-by-4.0Apr 2021View details →

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

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Last verified 2026-04-29Open record