scholarly journals Syphilis Such As the Other Sexually Transmitted Diseases Are a Cultural Background of Dermatologist

2017 ◽  
Vol 5 (4) ◽  
pp. 551-553 ◽  
Author(s):  
Serena Gianfaldoni ◽  
Georgi Tchernev ◽  
Uwe Wollina ◽  
Maria Grazia Roccia ◽  
Massimo Fioranelli ◽  
...  

Syphilis such as the other Sexually transmitted diseases are a cultural background of physician. The authors have presented this case of nodular secondary syphilis for three main reasons. The first one is that, in the last years, syphilis has re-emerged as the problem of public health. The second one is to underline how secondary syphilis, also known as the great imitator, may present itself with numerous manifestations, mimicking different dermatological diseases. Finally, because we want to remember how syphilis and the other sexual transmitted diseases must to be in the cultural background of a dermatologist, and have to be considered in the dermatological differential diagnosis.

Author(s):  
Марат Гаджимурадов ◽  
Marat Gadzhimuradov

The textbook is designed for medical students in the specialty 32.05.01 - public health and preventive medicine, in the discipline of dermatology. In the manual deals with the primary and secondary prevention of the most common dermatoses and sexually transmitted diseases. Materials textbook aimed at the acquisition of competences on the organization of anti-epidemic measures in parasitic and infectious dermatoses and prevention of sexually transmitted infections. The textbook contains test tasks and situational tasks for self-control.


2007 ◽  
Vol 34 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Linda Webster Dicker ◽  
Debra J. Mosure ◽  
Richard Steece ◽  
Katherine M. Stone

10.2196/20588 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e20588
Author(s):  
Amy Kristen Johnson ◽  
Runa Bhaumik ◽  
Irina Tabidze ◽  
Supriya D Mehta

Background Sexually transmitted infections (STIs) pose a significant public health challenge in the United States. Traditional surveillance systems are adversely affected by data quality issues, underreporting of cases, and reporting delays, resulting in missed prevention opportunities to respond to trends in disease prevalence. Search engine data can potentially facilitate an efficient and economical enhancement to surveillance reporting systems established for STIs. Objective We aimed to develop and train a predictive model using reported STI case data from Chicago, Illinois, and to investigate the model’s predictive capacity, timeliness, and ability to target interventions to subpopulations using Google Trends data. Methods Deidentified STI case data for chlamydia, gonorrhea, and primary and secondary syphilis from 2011-2017 were obtained from the Chicago Department of Public Health. The data set included race/ethnicity, age, and birth sex. Google Correlate was used to identify the top 100 correlated search terms with “STD symptoms,” and an autocrawler was established using Google Health Application Programming Interface to collect the search volume for each term. Elastic net regression was used to evaluate prediction accuracy, and cross-correlation analysis was used to identify timeliness of prediction. Subgroup elastic net regression analysis was performed for race, sex, and age. Results For gonorrhea and chlamydia, actual and predicted STI values correlated moderately in 2011 (chlamydia: r=0.65; gonorrhea: r=0.72) but correlated highly (chlamydia: r=0.90; gonorrhea: r=0.94) from 2012 to 2017. However, for primary and secondary syphilis, the high correlation was observed only for 2012 (r=0.79), 2013 (r=0.77), 2016 (0.80), and 2017 (r=0.84), with 2011, 2014, and 2015 showing moderate correlations (r=0.55-0.70). Model performance was the most accurate (highest correlation and lowest mean absolute error) for gonorrhea. Subgroup analyses improved model fit across disease and year. Regression models using search terms selected from the cross-correlation analysis improved the prediction accuracy and timeliness across diseases and years. Conclusions Integrating nowcasting with Google Trends in surveillance activities can potentially enhance the prediction and timeliness of outbreak detection and response as well as target interventions to subpopulations. Future studies should prospectively examine the utility of Google Trends applied to STI surveillance and response.


Sign in / Sign up

Export Citation Format

Share Document