These data contain case counts and rates for sexually transmitted diseases (chlamydia, gonorrhea, and early syphilis which includes primary, secondary, and early latent syphilis) reported for California residents, by disease, county, year, and sex.

Data were extracted on cases with an estimated diagnosis date from 2001 through the last year indicated, from California Confidential Morbidity Reports and/or Laboratory Reports that were submitted to CDPH by July of the current year and which met the surveillance case definition for that disease. Because of inherent delays in case reporting and depending on the length of follow-up of clinical, laboratory and epidemiologic investigation, cases with eligible diagnosis dates may be added or rescinded after the date of this report.

Table 6.1 lists the rates of Sexually Transmitted Infections (STI) for the most recent three-fiscal-year periods available, for the local geographic area and Alberta. This table is part of "Alberta Health Primary Health Care - Community Profiles" report published August 2022.

Note: This dataset is historical only and STI surveillance data do not change once finalized. For the most recent STI data, please refer to the CDPH Health Atlas (chicagohealthatlas.org), the annual HIV/STI surveillance report, and the Getting to Zero Illinois HIV Dashboard (gtzillinois.hiv).

The annual number of newly reported, laboratory-confirmed cases of chlamydia (Chlamydia trachomatis) among males aged 15-44 years and annual chlamydia incidence rate (cases per 100,000 males aged 15-44 years) with corresponding 95% confidence intervals by Chicago community area, for years 2000 – 2014. See the full description by clicking on the maroon "About" button on the right-hand side of the screen, and click on the PDF under "Attachments".

Note: This dataset is historical only and STI surveillance data do not change once finalized. For the most recent STI data, please refer to the CDPH Health Atlas (chicagohealthatlas.org), the annual HIV/STI surveillance report, and the Getting to Zero Illinois HIV Dashboard (gtzillinois.hiv).

The annual number of newly reported, laboratory-confirmed cases of gonorrhea (Neisseria gonorrhoeae) among males aged 15-44 years and annual gonorrhea incidence rate (cases per 100,000 males aged 15-44 years) with corresponding 95% confidence intervals by Chicago community area, for years 2000 – 2014. See the full description by clicking on the maroon "About" button on the right-hand side of the screen, and click on the PDF under "Attachments".

This indicator provides information about the gonorrhea infection rate (diagnosed infections per 100,000 population).In recent years, Los Angeles County has experienced a steady increase in the rates of sexually transmitted infections (STIs), including gonorrhea, a trend that has also been seen nationally. A common STI, gonorrhea can cause permanent damage to the reproductive system of childbearing people and can even cause potentially fatal ectopic pregnancy. Untreated gonorrhea infection can also increase the risk of acquiring or transmitting HIV. As with other STIs, gonorrhea rates are much higher in some communities than in others, with low-income communities, communities of color, and gay, bisexual, and transgender communities most severely impacted. Cities, community organizations, faith-based institutions, and businesses can play an important role in supporting efforts to prevent these infections. For example, they can help promote sexual health education campaigns, support condom distribution programs, and foster efforts to reduce stigmatization of and discrimination against groups most at risk of these infections. In addition, community providers can help by assisting at-risk groups in accessing prevention programs, testing, and treatment services, including partner notification and treatment.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Analysis of ‘Public Health Statistics - Gonorrhea cases for females aged 15-44 in Chicago, by year, 2000-2014 - Historical’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/cae7396d-0751-4590-b80a-fd6939c56398 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Note: This dataset is historical only and STI surveillance data do not change once finalized. For the most recent STI data, please refer to the CDPH Health Atlas (chicagohealthatlas.org), the annual HIV/STI surveillance report, and the Getting to Zero Illinois HIV Dashboard (gtzillinois.hiv).

The annual number of newly reported, laboratory-confirmed cases of gonorrhea (Neisseria gonorrhoeae) among females aged 15-44 years and annual gonorrhea incidence rate (cases per 100,000 females aged 15-44 years) with corresponding 95% confidence intervals by Chicago community area, for years 2000 – 2014. See the full description by clicking on the maroon "About" button on the right-hand side of the screen, and click on the PDF under "Attachments".

--- Original source retains full ownership of the source dataset ---

This indicator provides information about the chlamydia infection rate (diagnosed infections per 100,000 population). Note, beginning in 2019, California medical providers are no longer mandated to report chlamydia cases to local public health departments, although the requirement still exists for laboratories. Given this change in reporting requirements, it is possible that the rates presented are an underestimate of the true burden of chlamydia infection.In recent years, Los Angeles County has experienced a steady increase in the rates of sexually transmitted infections (STIs), including chlamydia, a trend that has also been seen nationally. A common STI, chlamydia can cause permanent damage to the reproductive system of childbearing people and can even cause potentially fatal ectopic pregnancy. Untreated chlamydia infection can also increase the risk of acquiring or transmitting HIV. As with other STIs, chlamydia rates are much higher in some communities than in others, with low-income communities, communities of color, and gay, bisexual, and transgender communities most severely impacted. Cities, community organizations, faith-based institutions, and businesses can play an important role in supporting efforts to prevent these infections. For example, they can help promote sexual health education campaigns, support condom distribution programs, and foster efforts to reduce stigmatization of and discrimination against groups most at risk of these infections. In addition, community providers can help by assisting at-risk groups in accessing prevention programs, testing, and treatment services, including partner notification and treatment.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

This is one of the three datasets related to the Prevention Agenda Tracking Indicators state level data posted on this site. Each dataset consists of 58 state-level health tracking indicators and 31 sub-indicators for the Prevention Agenda 2013-2017: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the Prevention Agenda as well as the Focus Area under each Priority Area. Priority areas include Chronic Disease; Health and Safe Environment; Healthy Women, Infants and Children; Mental Health and Substance Abuse; and HIV, STDs, Vaccine Preventable Diseases and Healthcare Associated Infections. The most recent year dataset includes the most recent state level data for all indicators. The trend dataset includes the most recent state level data and historical data, where available. Each dataset also includes the Prevention Agenda 2017 state targets for the indicators. Sub-indicators are included in these datasets to measure health disparities among racial, ethnic, and socioeconomic groups and persons with disabilities. For more information, check out: http://www.health.ny.gov/prevention/prevention_agenda/2013-2017/ and https://www.health.ny.gov/PreventionAgendaDashboard, or go to the “About” tab.

This indicator provides information about the early syphilis incidence rate (diagnosed infections per 100,000 population). Early syphilis includes cases staged as primary, secondary or early non-primary, non-secondary (previously referred to as early latent). These are infections that have occurred within the past 12 months. Early syphilis cases represent new infections.In recent years, Los Angeles County has experienced a steady increase in the rates of sexually transmitted infections (STIs), including syphilis, a trend that has also been seen nationally. Untreated syphilis infection can cause damage to the heart, brain, eyes, ears, and other organs in the body, leading to serious illness or even death. As with other STIs, syphilis rates are much higher in some communities than in others, with low-income communities, communities of color, and gay, bisexual, and transgender communities most severely impacted. Cities, community organizations, faith-based institutions, and businesses can play an important role in supporting efforts to prevent these infections. For example, they can help promote sexual health education campaigns, support condom distribution programs, and foster efforts to reduce stigmatization of and discrimination against groups most at risk of these infections. In addition, community providers can help by assisting at-risk groups in accessing prevention programs, testing, and treatment services, including partner notification and treatment.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Football has been instrumental in promoting sexual and reproductive health in low- and middle-income countries. The Liverpool Football Club Foundation (LFC Foundation) and the Liverpool School of Tropical Medicine (LSTM) recently completed the second year of their 2.5-year Health Goals Malawi project. Initially aimed at reducing HIV and other sexually transmitted infections (STIs) among teenage boys and young men in Malawi, a similar initiative was launched in disadvantaged areas of Liverpool, where STI rates and early pregnancies are notably high. The project's objectives included developing a comprehensive curriculum with coaching materials and resources, aiming to integrate this curriculum into the LFC Foundation's regular activities in Liverpool schools if successful. Activities involved six weeks of football training and coaching in various schools, football tournaments, and project evaluations with children and coaches. An annual survey of participants was also conducted. The collection consists of survey data. The survey covered demographic factors and relationship and sex education experience (all participants), and questions on awareness of and access to contraceptives, knowledge related to contraception and STIs, attitudes related to contraception and relationships, and condom self-efficacy (participants aged 14-19 only). The survey was adapted from the World Health Organisation’s “Illustrative questionnaire for interview-surveys with young people” and included 72 respondents.Football is often used to promote sexual and reproductive health in low- and middle-income countries. In fact, the Liverpool Football Club Foundation (LFC Foundation) and the Liverpool School of Tropical Medicine (LSTM) are in the second year of their 2.5-year Health Goals Malawi project. The project’s initial goal was to reduce the incidence of HIV and other sexually transmitted infections (STI) among teenage boys and young men in Malawi. They have decided to run a similar project in disadvantaged areas of Liverpool because the city has the second-highest rate of new STI diagnoses in northwest England. Rates of early pregnancy are also higher than the national average. There is a strong correlation between early pregnancy and socio‑economic deprivation. Teenage pregnancy can be both a cause and a consequence of health and education inequalities. High-quality relationship and sex education is therefore crucial to address such inequalities. The main drivers of these inequalities are: Persistent school absence before year 9 (pupils aged 13 and 14) Relatively slow academic progress Poverty Football is used for three reasons: The strength of the Liverpool FC brand in the city engages these socially vulnerable children aged 11 to 16. As football is the most popular sport in Liverpool, participants will be highly motivated to attend in order to develop their skills. Football drills and games can lead to discussions about key topics. Project content The project will focus on: relationship and sex education programmes in schools and colleges, with targeted prevention for at-risk youngsters of both sexes training on relationships and sexual health for health and non-health professionals, e.g. sports coaches using the influence of community sports coaches and the LFC Foundation brand to engage young people, emphasising the importance of positive male and female role models developing an innovative method of delivering relationship and sex education, with a particular emphasis on overcoming health and educational inequalities by reaching out to the most at-risk young people Objectives A clear and comprehensive curriculum will be developed with coaching materials and resources. If this project is successful, the curriculum will be integrated into the day-to-day work of the LFC Foundation with schools throughout Liverpool. If this approach proves to be effective, the teen pregnancy rate could be reduced. Project activities Six weeks of football training and coaching provided in different schools Football tournaments Project evaluation with the children and coaches involved Annual survey of participants Expected results Some 300 children aged 11 to 16 years, 50% of whom are to be girls, are to take part in project activities. The participants will include children with disabilities and poor mental health. Self-completed survey adapted from the World Health Organisation’s “Illustrative questionnaire for interview-surveys with young people” and involved 72 respondents.

Do you know further standard populations?

If you know any further standard populations worth integrating in this dataset, please let me know in the discussion part. I would be happy to integrate further data to make this dataset more useful for everybody.

German "Federal Health Monitoring System" about 'standard populations':

"Standard populations are "artificial populations" with fictitious age structures, that are used in age standardization as uniform basis for the calculation of comparable measures for the respective reference population(s).

Use: Age standardizations based on a standard population are often used at cancer registries to compare morbidity or mortality rates. If there are different age structures in populations of different regions or in a population in one region over time, the comparability of their mortality or morbidity rates is only limited. For interregional or inter-temporal comparisons, therefore, an age standardization is necessary. For this purpose the age structure of a reference population, the so-called standard population, is assumed for the study population. The age specific mortality or morbidity rates of the study population are weighted according to the age structure of the standard population. Selection of a standard population:

Which standard population is used for comparison basically, does not matter. It is important, however, that

1. the demographic structure of the standard population is not too dissimilar to that of the reference population and
2. the comparable rates refer to the same standard."

Aim of this dataset

The aim of this dataset is to provide a variety of the most commonly used 'standard populations'.

Currently, two files with 22 standard populations are provided: - standard_populations_20_age_groups.csv - 20 age groups: '0', '01-04', '05-09', '10-14', '15-19', '20-24', '25-29', '30-34', '35-39', '40-44', '45-49', '50-54', '55-59', '60-64', '65-69', '70-74', '75-79', '80-84', '85-89', '90+' - 7 standard populations: 'Standard population Germany 2011', 'Standard population Germany 1987', 'Standard population of Europe 2013', 'Standard population Old Laender 1987', 'Standard population New Laender 1987', 'New standard population of Europe', 'World standard population' - source: German Federal Health Monitoring System

• standard_populations_19_age_groups.csv
  • 19 age groups: '0', '01-04', '05-09', '10-14', '15-19', '20-24', '25-29', '30-34', '35-39', '40-44', '45-49', '50-54', '55-59', '60-64', '65-69', '70-74', '75-79', '80-84', '85+'
  • 15 standard populations: '1940 U.S. Std Million', '1950 U.S. Std Million', '1960 U.S. Std Million', '1970 U.S. Std Million', '1980 U.S. Std Million', '1990 U.S. Std Million', '1991 Canadian Std Million', '1996 Canadian Std Million', '2000 U.S. Std Million', '2000 U.S. Std Population (Census P25-1130)', '2011 Canadian Standard Population', 'European (EU-27 plus EFTA 2011-2030) Std Million', 'European (Scandinavian 1960) Std Million', 'World (Segi 1960) Std Million', 'World (WHO 2000-2025) Std Million'
  • source: National Institutes of Health, National Cancer Institute, Surveillance, Epidemiology, and End Results Program

Terms of use

No restrictions are known to the author. Standard populations are published by different organisations for public usage.

BackgroundThe reasons for black/white disparities in HIV epidemics among men who have sex with men have puzzled researchers for decades. Understanding reasons for these disparities requires looking beyond individual-level behavioral risk to a more comprehensive framework.Methods and FindingsFrom July 2010-Decemeber 2012, 803 men (454 black, 349 white) were recruited through venue-based and online sampling; consenting men were provided HIV and STI testing, completed a behavioral survey and a sex partner inventory, and provided place of residence for geocoding. HIV prevalence was higher among black (43%) versus white (13% MSM (prevalence ratio (PR) 3.3, 95% confidence interval (CI): 2.5–4.4). Among HIV-positive men, the median CD4 count was significantly lower for black (490 cells/µL) than white (577 cells/µL) MSM; there was no difference in the HIV RNA viral load by race. Black men were younger, more likely to be bisexual and unemployed, had less educational attainment, and reported fewer male sex partners, fewer unprotected anal sex partners, and less non-injection drug use. Black MSM were significantly more likely than white MSM to have rectal chlamydia and gonorrhea, were more likely to have racially concordant partnerships, more likely to have casual (one-time) partners, and less likely to discuss serostatus with partners. The census tracts where black MSM lived had higher rates of poverty and unemployment, and lower median income. They also had lower proportions of male-male households, lower male to female sex ratios, and lower HIV diagnosis rates.ConclusionsAmong black and white MSM in Atlanta, disparities in HIV and STI prevalence by race are comparable to those observed nationally. We identified differences between black and white MSM at the individual, dyadic/sexual network, and community levels. The reasons for black/white disparities in HIV prevalence in Atlanta are complex, and will likely require a multilevel framework to understand comprehensively.

Analysis of ‘Public Health Statistics - Chlamydia cases among males aged 15-44 in Chicago, by year, 2000-2014 - Historical’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3322a4ce-e4ef-46a1-b007-a90be7c0bfe9 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Note: This dataset is historical only and STI surveillance data do not change once finalized. For the most recent STI data, please refer to the CDPH Health Atlas (chicagohealthatlas.org), the annual HIV/STI surveillance report, and the Getting to Zero Illinois HIV Dashboard (gtzillinois.hiv).

The annual number of newly reported, laboratory-confirmed cases of chlamydia (Chlamydia trachomatis) among males aged 15-44 years and annual chlamydia incidence rate (cases per 100,000 males aged 15-44 years) with corresponding 95% confidence intervals by Chicago community area, for years 2000 – 2014. See the full description by clicking on the maroon "About" button on the right-hand side of the screen, and click on the PDF under "Attachments".

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Public Health Statistics - Chlamydia cases among females aged 15-44 in Chicago, by year, 2000-2014 - Historical’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/b63759f8-65a0-4798-b615-078764b90e8e on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Note: This dataset is historical only and STI surveillance data do not change once finalized. For the most recent STI data, please refer to the CDPH Health Atlas (chicagohealthatlas.org), the annual HIV/STI surveillance report, and the Getting to Zero Illinois HIV Dashboard (gtzillinois.hiv).

The annual number of newly reported, laboratory-confirmed cases of chlamydia (Chlamydia trachomatis) among females aged 15-44 years and annual chlamydia incidence rate (cases per 100,000 females aged 15-44 years) with corresponding 95% confidence intervals by Chicago community area, for years 2000 – 2014. See the full description by clicking on the maroon "About" button on the right-hand side of the screen, and click on the PDF under "Attachments".

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Public health statistics - Gonorrhea cases for males aged 15-44 in Chicago, by year, 2000-2014 - Historical’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/6e415e7c-321b-4a99-b4a7-b4ebed0de8c2 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Note: This dataset is historical only and STI surveillance data do not change once finalized. For the most recent STI data, please refer to the CDPH Health Atlas (chicagohealthatlas.org), the annual HIV/STI surveillance report, and the Getting to Zero Illinois HIV Dashboard (gtzillinois.hiv).

The annual number of newly reported, laboratory-confirmed cases of gonorrhea (Neisseria gonorrhoeae) among males aged 15-44 years and annual gonorrhea incidence rate (cases per 100,000 males aged 15-44 years) with corresponding 95% confidence intervals by Chicago community area, for years 2000 – 2014. See the full description by clicking on the maroon "About" button on the right-hand side of the screen, and click on the PDF under "Attachments".

--- Original source retains full ownership of the source dataset ---

Brainstorm - Auditory Dataset

License

This dataset (MEG and MRI data) was collected by the MEG Unit Lab, McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Canada. The original purpose was to serve as a tutorial data example for the Brainstorm software project (http://neuroimage.usc.edu/brainstorm). It is presently released in the Public Domain, and is not subject to copyright in any jurisdiction.

We would appreciate though that you reference this dataset in your publications: please acknowledge its authors (Elizabeth Bock, Peter Donhauser, Francois Tadel and Sylvain Baillet) and cite the Brainstorm project seminal publication (also in open access): http://www.hindawi.com/journals/cin/2011/879716/

Presentation of the experiment

Experiment

• One subject, two acquisition runs of 6 minutes each
• Subject stimulated binaurally with intra-aural earphones (air tubes+transducers)
• Each run contains:
  • 200 regular beeps (440Hz)
  • 40 easy deviant beeps (554.4Hz, 4 semitones higher)
• Random inter-stimulus interval: between 0.7s and 1.7s seconds, uniformly distributed
• The subject presses a button when detecting a deviant with the right index finger
• Auditory stimuli generated with the Matlab Psychophysics toolbox
• The specifications of this dataset were discussed initially on the FieldTrip bug tracker

MEG acquisition

• Acquisition at 2400Hz, with a CTF 275 system, subject in seating position
• Recorded at the Montreal Neurological Institute in December 2013
• Anti-aliasing low-pass filter at 600Hz, files saved with the 3rd order gradient
• Recorded channels (340):
  • 1 Stim channel indicating the presentation times of the audio stimuli: UPPT001 (#1)
  • 1 Audio signal sent to the subject: UADC001 (#316)
  • 1 Response channel recordings the finger taps in response to the deviants: UDIO001 (#2)
  • 26 MEG reference sensors (#5-#30)
  • 274 MEG axial gradiometers (#31-#304)
  • 2 EEG electrodes: Cz, Pz (#305 and #306)
  • 1 ECG bipolar (#307)
  • 2 EOG bipolar (vertical #308, horizontal #309)
  • 12 Head tracking channels: Nasion XYZ, Left XYZ, Right XYZ, Error N/L/R (#317-#328)
  • 20 Unused channels (#3, #4, #310-#315, #329-340)

• 3 datasets:

  • S01_AEF_20131218_01.ds: Run #1, 360s, 200 standard + 40 deviants

  • S01_AEF_20131218_02.ds: Run #2, 360s, 200 standard + 40 deviants

  • S01_Noise_20131218_01.ds: Empty room recordings, 30s long

  • File name: S01=Subject01, AEF=Auditory evoked field, 20131218=date(Dec 18 2013), 01=run

• Use of the .ds, not the AUX (standard at the MNI) because they are easier to manipulate in FieldTrip

Stimulation delays

• Delay #1: Production of the sound.
  Between the stim markers (channel UDIO001) and the moment where the sound card plays the sound (channel UADC001). This is mostly due to the software running on the computer (stimulation software, operating system, sound card drivers, sound card electronics). The delay can be measured from the recorded files by comparing the triggers in the two channels: Delay between 11.5ms and 12.8ms (std = 0.3ms) This delay is not constant, we will need to correct for it.
• Delay #2: Transmission of the sound.
  Between when the sound card plays the sound and when the subject receives the sound in the ears. This is the time it takes for the transducer to convert the analog audio signal into a sound, plus the time it takes to the sound to travel through the air tubes from the transducer to the subject's ears. This delay cannot be estimated from the recorded signals: before the acquisition, we placed a sound meter at the extremity of the tubes to record when the sound is delivered. Delay between 4.8ms and 5.0ms (std = 0.08ms). At a sampling rate of 2400Hz, this delay can be considered constant, we will not compensate for it.
• Delay #3: Recording of the signals.
  The CTF MEG systems have a constant delay of 4 samples between the MEG/EEG channels and the analog channels (such as the audio signal UADC001), because of an anti-aliasing filtered that is applied to the first and not the second. This translate here to a constant delay of 1.7ms.
• Delay #4: Over-compensation of delay #1.
  When correcting of delay #1, the process we use to detect the beginning of the triggers on the audio signal (UADC001) sets the trigger in the middle of the ramp between silence and the beep. We "over-compensate" the delay #1 by 1.7ms. This can be considered as constant delay of about -1.7ms.
• Uncorrected delays: We will correct for the delay #1, and keep the other delays (#2, #3 and #4). After we compensate for delay #1 our MEG signals will have a constant delay of about 4.9 + 1.7 - 1.7 = 4.9 ms. We decide not to compensate for th3se delays because they do not introduce any jitter in the responses and they are not going to change anything in the interpretation of the data.

Head shape and fiducial points

• 3D digitization using a Polhemus Fastrak device driven by Brainstorm (S01_20131218_*.pos)
• More information: Digitize EEG electrodes and head shape

• The output file is copied to each .ds folder and contains the following entries:

  • The position of the center of CTF coils
  • The position of the anatomical references we use in Brainstorm: Nasion and connections tragus/helix, as illustrated here.

• Around 150 head points distributed on the hard parts of the head (no soft tissues)

Subject anatomy

• Subject with 1.5T MRI
• Marker on the left cheek
• Processed with FreeSurfer 5.3

All diagnoses of first episode genital herpes among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and include those residents in England and those with an unknown residence (data for those residents outside of England is not included).*Sexual health services providing STI related care (Levels 2 and 3). Further details on the levels of sexual healthcare provision are provided in the https://www.bashh.org/about-bashh/publications/standards-for-the-management-of-stis/ .RationaleGenital herpes is the most common ulcerative sexually transmitted infection seen in England. Infections are frequently due to herpes simplex virus (HSV) type 2, although HSV-1 infection is also seen. Recurrent infections are common with patients returning for treatment.Definition of numeratorThe number of diagnoses of genital herpes (first episode) among people accessing sexual health services in England who are also residents in England.Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of genital herpes (first episode) were used. The clinical criteria used to diagnose the conditions are given at https://www.bashh.org/guidelines .Data was de-duplicated to ensure that a patient received a diagnostic code only once for each episode. Patients cannot be tracked between services and therefore de-duplication relies on patient consultations at a single service.Definition of denominatorThe denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census.Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy.Further details on the ONS census are available from the https://www.ons.gov.uk/census .CaveatsEvery effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service.Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications.Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.

Wearable Activity Tracker Data

SQLite database of wearable activity tracker users (N=88) data collected for 4 months.

The data has been collected between May 15th 2020 and September 15th 2020 in Switzerland, and is part of the data originally used in this study.

The data was collected with a Fibit Inspire HR.

• Age of participants: min. age: 18 y.o., max age: 31 y.o., mean age: 21.1 y.o., std age: 2.2 y.o.
• Gender of participants: women: 67%, men: 33%

For each of the 88 users, we collected:

• step count for every minute
• heart rate for every minute
• resting heart rate
• sleep data
  • fall asleep time
  • duration
  • sleep quality
  • restless times
  • restless duration
• all automatically detected activities
  • type (e.g., walking, swimming)
  • duration
  • time
• gender (as declared in the Fitbit profile)

BackgroundIn China, the HIV/AIDS epidemic among men who have sex with men (MSM) has been expanding in recent years. Substance abuse in MSM was not well studied as the independent risk factor for HIV and syphilis infection and other sexually transmitted diseases. The present review aimed to determine the correlation between HIV/Syphilis infections and substance abuse and other sexual risk behaviors among MSM.MethodsWe conducted a comprehensive search of PubMed, Web of Science, Embase, Scopus, Chinese National Knowledge Infrastructure, Chinese Wanfang Data, and VIP Chinese Journal Database for relevant articles of quantitative studies published between 2010 and May 31, 2022. Meta-analysis was performed using R software. Pooled estimated of the association-odds ratio, with 95% confidence intervals were calculated using random-effects models stratified by study design. Q statistics and I2 were used to measure the heterogeneity.ResultsOur meta-analysis included 61,719 Chinese MSM from 52 eligible studies. The pooled HIV prevalence rate among substance-abusing MSM was 10.0% (95% CI = 0.08–0.13). Substance abusers were more likely to have a higher prevalence of HIV (OR = 1.59) and syphilis (OR = 1.48) infections than non-substance abusers. Substance abusers were also more likely to seek sexual partners through the internet or social media applications (OR = 1.63), engage in unprotected anal intercourse (UAI) (OR = 1.69), group sex (OR = 2.78), and engage in commercial intercourse (OR = 2.04) compared to non-users. Regarding testing behaviors, substance abusers had a higher proportion of HIV or STI testing in their lifetime (OR = 1.70) compared with non-substance abusers (p < 0.05). They were also more likely to have had more sexual partners (≥2; OR = 2.31) and more likely to have consumed alcohol (OR = 1.49) in the past 6 months.ConclusionsOur study shows the correlation between substance abuse and HIV/Syphilis infection. Eliminating disparities in HIV/Syphilis infection among substance abusing men who have sex with men (MSM) can be achieved if the Chinese government and public health sectors could provide targeted knowledge popularization and diagnosis interventions among high-risk populations.