Syphilis Such As the Other Sexually Transmitted Diseases Are a Cultural Background of Dermatologist.
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ABSTRACT:
SUBMITTER: Gianfaldoni S
PROVIDER: S-EPMC5535686 | biostudies-other | 2017 Jul
REPOSITORIES: biostudies-other
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Project description:BackgroundAccurate incidence prediction of sexually transmitted diseases (STDs) is critical for early prevention and better government strategic planning. In this paper, four different forecasting models were presented to predict the incidence of AIDS, gonorrhea, and syphilis.MethodsThe annual percentage changes in the incidence of AIDS, gonorrhea, and syphilis were estimated by using joinpoint regression. The performance of four methods, namely, the autoregressive integrated moving average (ARIMA) model, Elman neural network (ERNN) model, ARIMA-ERNN hybrid model and long short-term memory (LSTM) model, were assessed and compared. For 1-year prediction, the collected data from 2011 to 2020 were used for modeling to predict the incidence in 2021. For 5-year prediction, the collected data from 2011 to 2016 were used for modeling to predict the incidence from 2017 to 2021. The performance was evaluated based on four indices: mean square error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE).ResultsThe morbidities of AIDS and syphilis are on the rise, and the morbidity of gonorrhea has declined in recent years. The optimal ARIMA models were determined: ARIMA(2,1,2)(0,1,1)12, ARIMA(1,1,2)(0,1,2)12, and ARIMA(3,1,2)(1,1,2)12 for AIDS, gonorrhea, and syphilis 1-year prediction, respectively; ARIMA (2,1,2)(0,1,1)12, ARIMA(1,1,2)(0,1,2)12, and ARIMA(2,1,1)(0,1,0)12 for AIDS, gonorrhea and syphilis 5-year prediction, respectively. For 1-year prediction, the MAPEs of ARIMA, ERNN, ARIMA-ERNN, and LSTM for AIDS are 23.26, 20.24, 18.34, and 18.63, respectively; For gonorrhea, the MAPEs are 19.44, 18.03, 17.77, and 5.09, respectively; For syphilis, the MAPEs are 9.80, 9.55, 8.67, and 5.79, respectively. For 5-year prediction, the MAPEs of ARIMA, ERNN, ARIMA-ERNN, and LSTM for AIDS are 12.86, 23.54, 14.74, and 25.43, respectively; For gonorrhea, the MAPEs are 17.07, 17.95, 16.46, and 15.13, respectively; For syphilis, the MAPEs are 21.88, 24.00, 20.18 and 11.20, respectively. In general, the performance ranking of the four models from high to low is LSTM, ARIMA-ERNN, ERNN, and ARIMA.ConclusionThe time series predictive models show their powerful performance in forecasting STDs incidence and can be applied by relevant authorities in the prevention and control of STDs.
| S-EPMC9450018 | biostudies-literature
Project description:Pattern of sexually transmitted diseases (STDs) in 1027 male patients admitted during 1990 to 1996 were analysed. Majority of cases (86%) were in age group of 20 to 40 years. Out of total 1027 STD cases 334 (32%) were having chancroid, 237 (23%) syphilis, 122 (11.9%) lymphogranuloma venereum, 130 (12.6%) gonorrhoea, 34 (3.3%) Herpes genitalis and 170 (16.5%) other STDs. 167 STD cases (163%) were found to have HIV infection. A rising trend in prevalence of HIV infection in STD patients from 2.8% (1990) to 27.8 (1996) was noticed contrary to declining trend of STDs from 213 cases in 1990 to 79 cases in 1996. The prevalence of HIV infection was 303% in LGV, 19.3% in chancroid, 13.5% in syphilis, 17.6% in herpes genitalis, 6.7% in gonorrhoea and 11.2% in other STD cases. Out of total 167 STD cases having HIV infection 65 (40%) cases were of chancroid, 37 (22.2%) of LGV, 32(19.2%) of syphilis, 8 (4.8) of gonorrhoea, and 6(3.6%) of herpes genitalis while 17 (10.2) cases were having other STDs.
| S-EPMC5531938 | biostudies-other
Project description:This study established a multiplex PCR-based microarray to detect simultaneously a diverse panel of 17 sexually transmitted diseases (STDs)-associated pathogens including Neisseria gonorrhoeae, Chlamydia trachomatis, Mycoplasma genitalium, Mycoplasma hominis, Ureaplasma, Herpes simplex virus (HSV) types 1 and 2, and Human papillomavirus (HPV) types 6, 11, 16, 18, 31, 33, 35, 39, 54 and 58. The target genes are 16S rRNA gene for N. gonorrhoeae, M. genitalium, M. hominism, and Ureaplasma, the major outer membrane protein gene (ompA) for C. trachomatis, the glycoprotein B gene (gB) for HSV; and the L1 gene for HPV. A total of 34 probes were selected for the microarray including 31 specific probes, one as positive control, one as negative control, and one as positional control probe for printing reference. The microarray is specific as the commensal and pathogenic microbes (and closely related organisms) in the genitourinary tract did not cross-react with the microarray probes. The microarray is 10 times more sensitive than that of the multiplex PCR. Among the 158 suspected HPV specimens examined, the microarray showed that 49 samples contained HPV, 21 samples contained Ureaplasma, 15 contained M. hominis, four contained C. trachomatis, and one contained N. gonorrhoeae. This work reports the development of the first high through-put detection system that identifies common pathogens associated with STDs from clinical samples, and paves the way for establishing a time-saving, accurate and high-throughput diagnostic tool for STDs.
| S-EPMC4514671 | biostudies-literature
Project description:BackgroundLongitudinal studies have consistently found a significant association between bacterial vaginosis (BV) and acquisition of sexually transmitted diseases. However, there are limited prospective data to confirm these findings.MethodsWe conducted a prospective, randomized, open-label trial of home screening and treatment of young women with asymptomatic BV who were also at high risk for sexually transmitted diseases. These women were screened every 2 months for 12 months and randomized to treatment with oral metronidazole 500 mg twice daily for 7 days or observation alone. The primary outcome was the incidence of gonorrhea and/or chlamydia.ResultsA total of 1365 subjects were enrolled in the study across 10 sites. Adherence with mailing specimens obtained at home was excellent in both groups (84%-88%). The incidence of gonorrhea and/or chlamydia was 19.1 per 100 person-years (95% confidence interval, 15.1-22.1) for the treatment group and 18.5 per 100 person-years (15.1-22.8) for the observation arm, a difference that was not statistically significant.ConclusionsYoung women were very amenable to home screening for BV, gonorrhea, and chlamydia. Treatment of asymptomatic BV with 1 week of oral metronidazole did not decrease the incidence of gonorrhea and/or chlamydia.Clinical trials registrationNCT00667368.
| S-EPMC4741364 | biostudies-literature
Project description:There are many different sexually transmitted infections that can cause proctitis. Recognition of the common symptoms with anoscopic examination is crucial in accurate diagnosis of the pathogen. Clinicians should have a high index of suspicion of more than one inciting pathogen. Treatment should be prompt and extended to sexual partners who have been exposed to the disease. Effective treatment can alleviate the discomfort and potentially serious complications associated with sexually transmitted proctitides. This article illustrates and discusses the clinical presentations, diagnostic pearls, and treatments of sexually transmitted proctitides.
| S-EPMC4442722 | biostudies-other
Project description:Network epidemiology often assumes that the relationships defining the social network of a population are static. The dynamics of relationships is only taken indirectly into account by assuming that the relevant information to study epidemic spread is encoded in the network obtained, by considering numbers of partners accumulated over periods of time roughly proportional to the infectious period of the disease. On the other hand, models explicitly including social dynamics are often too schematic to provide a reasonable representation of a real population, or so detailed that no general conclusions can be drawn from them. Here, we present a model of social dynamics that is general enough so its parameters can be obtained by fitting data from surveys about sexual behaviour, but that can still be studied analytically, using mean-field techniques. This allows us to obtain some general results about epidemic spreading. We show that using accumulated network data to estimate the static epidemic threshold lead to a significant underestimation of that threshold. We also show that, for a dynamic network, the relative epidemic threshold is an increasing function of the infectious period of the disease, implying that the static value is a lower bound to the real threshold. A practical example is given of how to apply the model to the study of a real population.
| S-EPMC3350717 | biostudies-literature
Project description:We estimated national-level trends in the prevalence of probable active syphilis in adult women using the Spectrum Sexually Transmitted Infections (STI) model to inform program planning, target-setting, and progress evaluation in STI control. The model fitted smoothed-splines polynomial regressions to data from antenatal clinic surveys and screening and representative household surveys, adjusted for diagnostic test performance and weighted by national coverage. Eligible countries had ≥1 data point from 2010 or later and ≥3 from 2000 or later from adult populations considered representative of the general female population (pregnant women or community-based studies). Between 2012 and 2016, the prevalence of probable active syphilis in women decreased in 54 (41%) of 132 eligible countries; this decrease was substantive (≥10% proportionally, ≥0.10% percentage-point absolute difference and non-overlapping 95% confidence intervals in 2012 and 2016) in 5 countries. Restricting eligible data to prevalence measurements of dual treponemal and non-treponemal testing limited estimates to 85 countries; of these, 45 countries (53%) showed a decrease. These standardized trend estimates highlight the need for increased investment in national syphilis surveillance and control efforts if the World Health Organization target of a 90% reduction in the incidence of syphilis between 2018 and 2030 is to be met.
| S-EPMC6068092 | biostudies-literature
Project description:Women living with HIV infection are at higher risk for cervical cancer, an AIDS-defining diagnosis. We examined the prevalence of cervical cancer and sexually transmitted disease (STD) screening among human immunodeficiency virus (HIV)-infected women and factors associated with the receipt of Papanicolaou (Pap) tests.We did a cross-sectional analysis of weighted data from a sample of HIV-infected adults receiving outpatient medical care. We used matched interview (report of Pap test) and medical record data (STD screenings) from HIV-infected women. We performed logistic regression to compute adjusted prevalence ratios and 95% confidence intervals for the association between demographic, behavioral, and clinical factors and receipt of Pap tests among HIV-infected women.Data were available for 2,270 women, who represent 112,894 HIV-infected women; 62% were African American, 17% were Hispanic/Latina, and 18% were white. Most (78%) reported having a Pap test in the past year. Among sexually active women (n = 1234), 20% reported sex without condoms, 27% were screened for gonorrhea, and 29% were screened for chlamydia. Being screened for STDs was less likely among women who did not have a Pap test in the past year (adjusted prevalence ratios 0.82, 95% confidence interval 0.77-0.87). Women who were ≥50 years of age and reported income above federal poverty level, no sexual activity, depression, no HIV care from an obstetrician/gynecologist, and no documented STD tests, were less likely to report a Pap test (p < 0.05).Screening for cervical cancer and STDs among HIV-infected women is suboptimal. Clinical visits for Pap tests are an important opportunity for HIV-infected sexually active women to also receive STD screenings and counseling regarding condoms.
| S-EPMC5564184 | biostudies-other
Project description:Prostatitis and sexually transmitted diseases (STDs) have been positively associated with prostate cancer in previous case-control studies. However, results from recent prospective studies have been inconclusive. METHODOGY/PRINCIPAL FINDINGS: We investigated the association between prostatitis, STDs, and prostate cancer among African American, Asian American, Latino, and White participants of the California Men's Health Study. Our analysis included 68,675 men, who completed a detailed baseline questionnaire in 2002-2003. We identified 1,658 incident prostate cancer cases during the follow-up period to June 30, 2006. Cox proportional hazards models were used to estimate relative risks and 95% confidence intervals. Overall, men having a history of prostatitis had an increased risk of prostate cancer than men with no history (RR = 1.30; 95% CI: 1.10-1.54). Longer duration of prostatitis symptoms was also associated with an increased risk of prostate cancer (P trend = 0.003). In addition, among men screened for prostate cancer (1 or 2 PSA tests), a non-significant positive association was observed between prostatitis and prostate cancer (RR = 1.10; 95% CI: 0.75-1.63). STDs were not associated with overall prostate cancer risk. In racial/ethnic stratified analysis, Latinos reporting any STDs had an increased risk of disease than those with no STDs (RR = 1.43; 95% CI: 1.07-1.91). Interestingly, foreign-born Latinos displayed a larger risk associated with STDs (RR = 1.87; 95% CI: 1.16-3.02) than U.S. born Latinos (RR = 1.15; 95% CI: 0.76-3.02).In summary, results from this prospective study suggest that prostatitis and STDs may be involved in prostate cancer susceptibility. While we cannot rule out the possible influence of incidental detection, future studies are warranted to further investigate the role of infectious agents related to prostatitis and STDs in prostate cancer development.
| S-EPMC2806913 | biostudies-other
Project description:A wide range of communicable human diseases can be considered as spreading through a network of possible transmission routes. The implied network structure is vital in determining disease dynamics, especially when the average number of connections per individual is small as is the case for many sexually transmitted diseases (STDs). Here we develop an intuitive mathematical framework to deal with the heterogeneities implicit within contact networks and those that arise because of the infection process. These models are compared with full stochastic simulations and show excellent agreement across a wide range of parameters. We show how such models can be used to estimate parameters of epidemiological importance, and how they can be extended to examine the effectiveness of various control strategies, in particular screening programs and contact tracing.
| S-EPMC130633 | biostudies-literature