scholarly journals The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia

2021 ◽  
Vol Volume 15 ◽  
pp. 1755-1762
Author(s):  
Bhuvan KC ◽  
Alian Alrasheedy ◽  
Bey Hing Goh ◽  
Ali Blebil ◽  
Nida Sajid Ali Bangash ◽  
...  
Keyword(s):  
General Population ◽  
Mobile Health ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mobile Health Applications ◽  
Health Applications

Natural carcinogenic fiber and pleural plaques assessment in a general population: A cross-sectional study

2016 ◽  
Vol 150 ◽  
pp. 23-29 ◽  
Author(s):  
Caterina Ledda ◽  
Cristoforo Pomara ◽  
Massimo Bracci ◽  
Dario Mangano ◽  
Vincenzo Ricceri ◽  
...  
Keyword(s):  
General Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Pleural Plaques

scholarly journals Coverage and uptake of systematic postal screening for genital Chlamydia trachomatis and prevalence of infection in the United Kingdom general population: cross sectional study

BMJ ◽  
2005 ◽  
Vol 330 (7497) ◽  
pp. 940 ◽  
Author(s):  
John Macleod ◽  
Chris Salisbury ◽  
Nicola Low ◽  
Anne McCarthy ◽  
Jonathan A C Sterne ◽  
...  
Keyword(s):  
United Kingdom ◽  
Chlamydia Trachomatis ◽  
General Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The United Kingdom

scholarly journals COVID-19 infections among Healthcare Workers and Transmission within Households

2020 ◽  
Author(s):  
Kevin L. Schwartz ◽  
Camille Achonu ◽  
Sarah A. Buchan ◽  
Kevin A. Brown ◽  
Brenda Lee ◽  
...  
Keyword(s):  
General Population ◽  
Personal Protective Equipment ◽  
Healthcare Workers ◽  
Population Based ◽  
Cross Sectional Study ◽  
Nosocomial Transmission ◽  
Protective Equipment ◽  
Sectional Study ◽  
Cross Sectional ◽  
Testing Bias

AbstractImportanceProtecting healthcare workers (HCWs) from COVID-19 is a priority to maintain a safe and functioning healthcare system. The risk of transmitting COVID-19 to family members is a source of stress for many.ObjectiveTo describe and compare HCW and non-HCW COVID-19 cases in Ontario, Canada, as well as the frequency of COVID-19 among HCWs’ household members.Design, Setting, and ParticipantsUsing reportable disease data at Public Health Ontario which captures all COVID-19 cases in Ontario, Canada, we conducted a population-based cross-sectional study comparing demographic, exposure, and clinical variables between HCWs and non-HCWs with COVID-19 as of 14 May 2020. We calculated rates of infections over time and determined the frequency of within household transmissions using natural language processing based on residential address.Exposures and OutcomesWe contrasted age, gender, comorbidities, clinical presentation (including asymptomatic and presymptomatic), exposure histories including nosocomial transmission, and clinical outcomes between HCWs and non-HCWs with confirmed COVID-19.ResultsThere were 4,230 (17.5%) HCW COVID-19 cases in Ontario, of whom 20.2% were nurses, 2.3% were physicians, and the remaining 77.4% other specialties. HCWs were more likely to be between 30-60 years of age and female. HCWs were more likely to present asymptomatically (8.1% versus 7.0%, p=0.010) or with atypical symptoms (17.8% versus 10.5%, p<0.001). The mortality among HCWs was 0.2% compared to 10.5% of non-HCWs. HCWs commonly had exposures to a confirmed case or outbreak (74.1%), however only 3.1% were confirmed to be nosocomial. The rate of new infections was 5.5 times higher in HCWs than non-HCWs, but mirrored the epidemic curve. We identified 391 (9.8%) probable secondary household transmissions and 143 (3.6%) acquisitions. Children < 19 years comprised 14.6% of secondary cases compared to only 4.2% of the primary cases.Conclusions and RelevanceHCWs represent a disproportionate number of COVID-19 cases in Ontario but with low confirmed numbers of nosocomial transmission. The data support substantial testing bias and under-ascertainment of general population cases. Protecting HCWs through appropriate personal protective equipment and physical distancing from colleagues is paramount.Key PointsQuestionWhat are the differences between healthcare workers and non-healthcare workers with COVID-19?FindingsIn this population-based cross-sectional study there were 4,230 healthcare workers comprising 17.5% of COVID-19 cases. Healthcare workers were diagnosed with COVID-19 at a rate 5.5 times higher than the general population with 0.8% of all healthcare workers, compared to 0.1% of non-healthcare workers.MeaningHigh healthcare worker COVID-19 burden highlights the importance of physical distancing from colleagues, appropriate personal protective equipment, as well as likely substantial testing bias and under-ascertainment of COVID-19 in the general population.

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