Academic Journal
Molecular investigation of Trichomoniasis in women in Al-Muthana province /Iraq
| Τίτλος: | Molecular investigation of Trichomoniasis in women in Al-Muthana province /Iraq |
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| Συγγραφείς: | Al-abodi, H R J, Al-Shaibani, K T M, Shaker, E M |
| Πηγή: | Journal of Physics: Conference Series ; volume 1234, issue 1, page 012078 ; ISSN 1742-6588 1742-6596 |
| Στοιχεία εκδότη: | IOP Publishing |
| Έτος έκδοσης: | 2019 |
| Περιγραφή: | This study was conducted to determine the effect of factors as synthetic contraceptives used by women on the incidence of trichomoniasis, (150) vaginal swap samples were collected from women who complained of vaginal infections only (no miscarriage or pregnancy) who visit : the Children’s and Women’s Hospital in Al-Muthana governorate and private clinics during the period from January 2018 to June 2018, the parasite was diagnosed by using a wet smear and recorded 39/150 (26%) positive infection, after that the samples conducted to molecular method PCR on the basis of 18SrRNA gene to reach more accurate results and showed to rate infection (32%) 48/150, then collect information from each patient about the use of contraceptives:(did not use any method, contraceptives pills, condom, IUCD) and has been recorded infection rates (34.80%), (30.10%), (21.11%), and (6.40%) respectively, these results indicate the importance of the use of contraceptives for the incidence of a parasite as risk factors, the statically analysis for this results showed there were significant differences between rate of infection and type of contraceptives under probability level (p≤0.05). |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | unknown |
| DOI: | 10.1088/1742-6596/1234/1/012078 |
| DOI: | 10.1088/1742-6596/1234/1/012078/pdf |
| Διαθεσιμότητα: | https://doi.org/10.1088/1742-6596/1234/1/012078 https://iopscience.iop.org/article/10.1088/1742-6596/1234/1/012078/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1234/1/012078 |
| Rights: | http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| Αριθμός Καταχώρησης: | edsbas.72A9A862 |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.1088/1742-6596/1234/1/012078 |
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