Project description:The high proportion of transmission events derived from asymptomatic or presymptomatic infections make SARS-CoV-2, the causative agent in COVID-19, difficult to control through the traditional non-pharmaceutical interventions (NPIs) of symptom-based isolation and contact tracing. As a consequence, many US universities developed asymptomatic surveillance testing labs, to augment NPIs and control outbreaks on campus throughout the 2020-2021 academic year (AY); several of those labs continue to support asymptomatic surveillance efforts on campus in AY2021-2022. At the height of the pandemic, we built a stochastic branching process model of COVID-19 dynamics at UC Berkeley to advise optimal control strategies in a university environment. Our model combines behavioral interventions in the form of group size limits to deter superspreading, symptom-based isolation, and contact tracing, with asymptomatic surveillance testing. We found that behavioral interventions offer a cost-effective means of epidemic control: group size limits of six or fewer greatly reduce superspreading, and rapid isolation of symptomatic infections can halt rising epidemics, depending on the frequency of asymptomatic transmission in the population. Surveillance testing can overcome uncertainty surrounding asymptomatic infections, with the most effective approaches prioritizing frequent testing with rapid turnaround time to isolation over test sensitivity. Importantly, contact tracing amplifies population-level impacts of all infection isolations, making even delayed interventions effective. Combination of behavior-based NPIs and asymptomatic surveillance also reduces variation in daily case counts to produce more predictable epidemics. Furthermore, targeted, intensive testing of a minority of high transmission risk individuals can effectively control the COVID-19 epidemic for the surrounding population. Even in some highly vaccinated university settings in AY2021-2022, asymptomatic surveillance testing offers an effective means of identifying breakthrough infections, halting onward transmission, and reducing total caseload. We offer this blueprint and easy-to-implement modeling tool to other academic or professional communities navigating optimal return-to-work strategies.

Project description:IntroductionGlobally, sexually transmissible infections (STIs) continue to disproportionately affect young people. Regular STI testing is an important public health strategy but remains low among this age group. Raising awareness of testing is an essential step and requires effective interventions designed for young people. To inform the development of effective interventions that promote STI testing among young people, we conducted a systematic literature review to describe the social marketing and visual design components commonly found in STI testing interventions and explore associations of these components with intervention effectiveness.MethodsWe used a systemic review methodology to identify peer-reviewed articles that met pre-defined inclusion criteria. Social marketing and visual component analyses were conducted using structured data extraction tools and coding schemes, based on the eight key social marketing principles and 28 descriptive dimensions for visual analysis.Results18 studies focusing on 13 separate interventions met the inclusion criteria. Most interventions used photograph-based images, using conventionally attractive actors, positioned centrally and making direct eye contact to engage the viewer. The majority of interventions featured text sparingly and drew on a range of tones (e.g. serious, humorous, positive, reassuring, empowering and informative) and three interventions used sexualised content. Four articles explicitly stated that the interventions was informed by social marketing principles, with two explicitly referencing all eight principles. Around half of the articles reported using a formal theoretical framework, but most were considered to have theoretical constructs implicit in interventions materials. Four articles provided detailed information regarding developmental consumer research or pre-testing. All articles suggested segmentation and development of materials specifically for young people. Explicit consideration of motivation and competition was lacking across all articles. This study found that there were some design elements common to interventions which were considered more effective. High social marketing complexity (where interventions met at least seven of the 11 criteria for complexity) seemed to be associated with more effective interventions.ConclusionsOur findings suggest that the incorporation of social marketing principles, could be more important for intervention effectiveness than specific elements of visual design. Effective and systematic use of social marketing principles may help to inform future evidence-informed and theoretically based interventions and should be employed within sexual health improvement efforts.

Project description:BackgroundCOVID-19 disease has had a profound impact worldwide since it was discovered in Wuhan, China, in December 2019. Laboratory testing is crucial to prompt identification of positive cases, initiation of treatment and management strategies. However, medical scientists are vulnerable to infection due to the risk of exposure in the laboratory and the community. This study sought to determine the awareness of laboratory safety measures, assess the personal efforts of medical scientists in creating a safe laboratory environment for testing and examine the laboratory safety enabling factors.MethodsThe data used for the study were generated among medical scientists in Nigeria through an internet-broadcasted questionnaire and were analyzed using IBM SPSS Statistics (version 25).ResultsThe majority of the respondents had a high awareness of laboratory safety measures (60.3%) and demonstrated good personal efforts in creating a safe laboratory testing environment (63%). The level of awareness of laboratory safety measures was significantly associated with respondents' level of education (χ2 = 6.143; p = 0.046) and influences respondents' efforts in creating a safe laboratory testing environment (p = 0.007). However, just a few respondents could convincingly attest to the availability of adequate and appropriate PPE with proper utilization training (45.1%), adequate rest and other welfare packages (45.8%) as well as access to appropriate Biological Safety Cabinets (BSCs) and other essential equipment in their laboratories (48.8%). Furthermore, a significant association existed between the availability of laboratory safety enabling factors and respondents' efforts in creating a safe environment for testing with the p-value ranging between < 0.0001 and 0.003.ConclusionThis study revealed that despite the high awareness of safety measures and good personal efforts of the study participants in creating a safe laboratory-testing environment, there was poor availability of safety facilities, equipment, support and welfare packages required to enhance their safety. It is, therefore, crucial to provide necessary laboratory biosafety equipment and PPE in order not to compromise medical scientists' safety as they perform their duties in COVID-19 pandemic response.

Dataset Information

In Search of a Value Proposition for COVID-19 Testing in the Work Environment: A Social Marketing Analysis.

Background

Method

Results

Conclusions

Publications

In Search of a Value Proposition for COVID-19 Testing in the Work Environment: A Social Marketing Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets