scholarly journals Gender and racial differences in risk factors for sexually transmitted diseases among justice-involved youth

2009 ◽  
Vol Volume 1 ◽  
pp. 9-24 ◽  
Author(s):  
Richard Dembo ◽  
Kristina Childs ◽  
S Belenko ◽  
James Schmeidler ◽  
Wareham
Keyword(s):  
Risk Factors ◽  
Sexually Transmitted Diseases ◽  
Racial Differences ◽  
Sexually Transmitted

Risk Factors for Hepatitis B Virus Infection Among Women Attending a Clinic for Sexually Transmitted Diseases

1992 ◽  
Vol 19 (1) ◽  
pp. 14-18 ◽  
Author(s):  
CHARLES L BARRETT ◽  
HARLAND AUSTIN ◽  
WILLIAM C. LOUV ◽  
W. JAMES ALEXANDER ◽  
STEPHEN C. HADLER
Keyword(s):  
Risk Factors ◽  
Hepatitis B Virus ◽  
Virus Infection ◽  
Hepatitis B ◽  
Sexually Transmitted Diseases ◽  
Hepatitis B Virus Infection ◽  
Sexually Transmitted ◽  
B Virus

scholarly journals Influence of sexually transmitted infections in a horse breeding

2015 ◽  
Vol 69 (5-6) ◽  
pp. 443-452
Author(s):  
Marjan Kosec ◽  
Natasa Sterbenc ◽  
Janko Mrkun ◽  
Igor Klobucar ◽  
Primoz Klinc
Keyword(s):  
Risk Factors ◽  
Sexually Transmitted Diseases ◽  
Artificial Insemination ◽  
Clinical Picture ◽  
Preventive Measures ◽  
Sexually Transmitted ◽  
Direct Damage ◽  
Horse Breeding ◽  
Common Causes ◽  
Infectious Etiology

The most frequent problems in horses reproduction are generally divided into those of infectious and non infectious etiology. Common causes of infectious diseases are usual?ly viruses and bacteria, and less frequently protozoa, mykoplasma and fungi. In this work there are presented the most important fact about sexually transmitted diseases, their clinical picture, risk factors, preventive measures as well as measures to prevent and eradicate the diseases. The biggest risk factor for sexually transmitted diseases in horses are breeding stallions, both in natural mating and in artificial insemination. Therefore, in order to prevent genital infections in horses, it is essential that the stallions used for breeding are healthy (non-infected). That can be determined with certainty only if the stallions are examined (tested) just before the breeding season on most frequent sexually transmitted diseases (CEM,EAV). It is well known that in most cases the clinical picture of sexually transmitted diseses is not manifested on genitals. As well, variations in clinical picture can be expected also in mares, depending on the stage of the disease and its etiology. Harms arising from sexually transmitted diseases can be divided into direct and indirect. Direct damage occurs in the form of endometritis, miscarriage, stillbirths and births of weak foals, and indirect in restricting the traffic of infected and suspicios animals, isolation of the infected ones as well as medical treatment and interrupting mating.

Risk Factors for Sexually Transmitted Diseases in Northern Thai Adolescents

2003 ◽  
Vol 30 (4) ◽  
pp. 320-326 ◽  
Author(s):  
GABRIELA PAZ-BAILEY ◽  
PETER H. KILMARX ◽  
SOMSAK SUPAWITKUL ◽  
THANYANAN CHAOWANACHAN ◽  
SUPAPORN JEEYAPANT ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sexually Transmitted Diseases ◽  
Sexually Transmitted ◽  
Thai Adolescents

Risk Factors for HTLV-I and II in Individuals Attending a Clinic for Sexually Transmitted Diseases

2000 ◽  
Vol 27 (2) ◽  
pp. 87-92 ◽  
Author(s):  
Massimo Giuliani ◽  
Giovanni Rezza ◽  
Alessandro Cozzi Lepri ◽  
Aldo Di Carlo ◽  
Antonio Maini ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sexually Transmitted Diseases ◽  
Sexually Transmitted

Incidence of Sexually Transmitted Diseases Among Massage Parlour Employees in Bangkok, Thailand

1994 ◽  
Vol 5 (3) ◽  
pp. 214-217 ◽  
Author(s):  
Michèle G Bonhomme ◽  
Wiwat Rojanapithayakorn ◽  
Paul J Feldblum ◽  
Michael J Rosenberg
Keyword(s):  
Risk Factors ◽  
Sexually Transmitted Diseases ◽  
Sexually Transmitted Disease ◽  
Controlled Trial ◽  
Transmitted Disease ◽  
Admission Criteria ◽  
Sexually Transmitted ◽  
Randomized Controlled ◽  
Related Risk ◽  
Number Of Sexual Partners

The results of a study of sexually transmitted disease (STD) incidence and related risk factors for STDs among uninfected women at high risk of contracting STD infection in Bangkok are reported. Comprising the control arm of a randomized controlled trial of a vaginal contraceptive sponge and STD incidence, 163 women aged 18 or older were recruited from 4 massage parlours and followed for evidence of new infections over a 6–week period or until cervical infection occurred. Gynaecological examinations were performed and endocervical specimens were obtained at weekly intervals, at which time women returned coital logs recording their number of sexual partners. There were 76.5 new STD infections per 100 woman-months, including 31.7 with gonorrhoea, 43.1 with chlamydia, 1.8 of trichomoniasis and 3.5 of candidiasis. None of the risk factors examined were good predictors of STD infection in this population, which may be related to the restricted admission criteria in the study.

scholarly journals Fuzzy Logic-Based Predictive Model for the Risk of Sexually Transmitted Diseases (STD) in Nigeria

2020 ◽  
Vol 5 (2) ◽  
pp. 38-57
Author(s):  
Jeremiah A. Balogun ◽  
Florence Alaba Oladeji ◽  
Olajide Blessing Olajide ◽  
Adanze O. Asinobi ◽  
Olayinka Olufunmilayo Olusanya ◽  
...  
Keyword(s):  
Risk Factors ◽  
Fuzzy Logic ◽  
Sexually Transmitted Diseases ◽  
Structured Interview ◽  
Classification Model ◽  
Linguistic Variables ◽  
Membership Functions ◽  
Sexually Transmitted ◽  
Non Invasive ◽  
Model Approach

This study developed a classification model for monitoring the risk of sexually transmitted diseases (STDs) among females using information about non-invasive risk factors. Structured interview with physicians was done in order to identify the risk factors that are associated with the risk of STDs in Nigeria. The model was simulated using the fuzzy logic toolbox accessible in the MATLAB® R2015a Software. The results showed that nine non-invasive risk factors were associated with the risk of STDs among female patients in Nigeria. Two, three, and four triangular membership functions were appropriate for the formulation of the linguistic variables of the factors while the target risk was formulated using four triangular membership functions for the linguistic variables namely no risk, low risk, moderate risk, and high risk. The study concluded that the fuzzy logic model approach was adequate for predicting the risk of STDs based on the knowledge of the risk factors.

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