scholarly journals COVID-19 epidemic trends from a Self-Assessment Web Application in France: Observational Study (Preprint)

10.2196/26182 ◽  
2020 ◽  
Author(s):  
Fabrice Denis ◽  
Arnaud Fontanet ◽  
Yann-Mael Le Douarin ◽  
Florian Le Goff ◽  
Stephan Jeanneau ◽  
...  
Keyword(s):  
Observational Study ◽  
Web Application ◽  
Self Assessment

scholarly journals Analysis of the sources of COVID-19 transmission in France by Self-assessment Web-application before and after the Partial Autumnal Lockdown: Observational Study (Preprint)

2021 ◽  
Author(s):  
Fabrice Denis ◽  
Anne-Lise Septans ◽  
Florian Le Goff ◽  
Stephan Jeanneau ◽  
François-Xavier Lescure
Keyword(s):  
Observational Study ◽  
Incubation Time ◽  
Web Application ◽  
Close Relative ◽  
Media Campaign ◽  
Self Assessment ◽  
National Media ◽  
Before And After ◽  
The Impact ◽  
Second Wave

BACKGROUND We developed a questionnaire on a web-application for COVID-19 circumstances of contamination analysis in France during the 2nd wave of pandemic. OBJECTIVE To analyze the impact on contaminations characteristics of the second partial lockdown in France to adapt health public restrictions to further pandemic surges. METHODS Between 12/15/2020 and 12/24/2020, after a national media campaign, users of sourcecovid.fr web-application were asked questions about their own or a close relative COVID-19 contamination after 8/15/2020 in France. Data of contamination’s circumstances were assessed and compared before and after the second partial lockdown which occurred on 10/25/2020 during the second wave of pandemic and was ongoing on 12/24/2020. RESULTS As of December 24, 2020, 441 000 connections on web-application were observed. 2218 questionnaires were assessable for analysis. 61.8% were sure of their contamination origin and 38.2% thought they knew it. The median age of users was 43.0 years (IQR 32 to 56), 50.7% were male. The median incubation time of the assessed cohort was 4.0 days (IQR 3 to 5). Private area (family and friends) was the main source of contamination (50.2%) followed by work colleagues: 27.7%. The main time of contamination of the day was the evening (35.3%) before the lockdown and was reduced to 18.2% after it (P<0.001). The person who transmitted the virus to the user before and after the lockdown was significantly different (P<0.001): a friend (29.0% vs 14.1%), a family close relative (23.1% vs 32.7%), a work colleague (23.9% vs 34.2%). The main location where the virus was transmitted to the users before and after lockdown was significantly different too (P<0.001), respectively: Home (21.3% vs 25.5%), at work (22.4% vs 29.6%), collective places (33.0% vs 15.0%), and care centers (4.4% vs 9.7%). CONCLUSIONS Modalities of transmissions significantly changed before and after the 2nd lockdown in France. The main sources of contaminations remained the private area and work colleagues. Work became the main location of contamination after lockdown whereas collective places contaminations were strongly reduced. CLINICALTRIAL ClinicalTrials.gov NCT04670003

scholarly journals COVID-19 epidemic trends from a Self-Assessment Web Application in France: Observational Study (Preprint)

2020 ◽  
Author(s):  
Fabrice Denis ◽  
Arnaud Fontanet ◽  
Yann-Mael Le Douarin ◽  
Florian Le Goff ◽  
Stephan Jeanneau ◽  
...  
Keyword(s):  
Web Application ◽  
Large Scale ◽  
Correlation Coefficients ◽  
Young Population ◽  
Rt Pcr ◽  
Self Assessment ◽  
Emergency Visits ◽  
Spatially Correlated ◽  
Participatory Surveillance ◽  
Second Wave

BACKGROUND We developed a self-assessment and participatory surveillance web-application for coronavirus disease (COVID-19), which was launched in France in March 2020. OBJECTIVE We compared daily large-scale RT-PCR tests results to daily connections to a self-triage application by anosmic users to assess dynamics of emergency visits, hospitalizations and ICU admissions for COVID-19 positive patients in France. METHODS Between 3/21/2020 and 11/18//2020, users of maladiecoronavirus.fr self-triage application were asked questions about COVID-19 symptoms. Data of daily hospitalizations, large-scale RT-PCR positive tests, emergency visits and ICU entrances for COVID-19 patients were compared to data of anosmic users of the applications. RESULTS As of November 18, 2020, 575,214 users reported recent anosmia on near 13 Million responders. Daily anosmia reported during the peak of connections to the application on September 16 were spatially correlated with daily COVID-19–related hospitalizations peak which occurred in November (spearman correlation coefficients=0.77, p<.001). Decrease of the connections of anosmic users after the main peaks of connections preceded the decrease of daily hospitalizations by 10 and 9 days during the first and the second outbreak waves respectively although the decrease of RT-PCR positive tests occurred only 2 days before daily hospitalizations during the second wave. CONCLUSIONS A peak of daily reported anosmia in young adults was observed 49 days before the peak of the hospitalizations corresponding to the first phase of a large-scale contamination of young population followed by older people leading to hospitalization’s peak in November. Data of anosmic users of a national widespread self-assessment application can be a relevant tool to anticipate outbreak surge, and hospitalizations and ICU decrease of COVID-19 patients. CLINICALTRIAL ClinicalTrials.gov NCT04331171

scholarly journals Migraine-Related Vertigo: Eight Years of Experience with Pharmacologic Prophyilaxis

2011 ◽  
Vol 2011 ◽  
pp. 1-5
Author(s):  
Arturo Maione ◽  
Doriano Politi ◽  
Alessandra Pavin
Keyword(s):  
Observational Study ◽  
Complete Resolution ◽  
Prospective Observational Study ◽  
Years Of Experience ◽  
Self Assessment ◽  
Therapeutic Protocol ◽  
Pharmacologic Prophylaxis ◽  
Substantial Control ◽  
Assessment Questionnaire

In 2001, our dizziness unit elaborated a diagnostic-therapeutic protocol for patients affected by migraine-related vertigo (MRV). This protocol contemplated the selection from March 2001 to December 2009 of 98 patients affected by MRV out of 1357 consecutive patients who came to our dizziness unit and the administration of pharmacologic prophylaxis. The results obtained constitute the object of this prospective, observational study. The efficacy of a 6-month treatment was registered by the patients by means of a self-assessment questionnaire where the results were divided into 5 categories, and, in case of patients with recurrent vertiginous attack, we recorded the percentage of the reduction in the frequency of the attacks. Of the sixty-four patients who completed the treatment, 43 (67.2%) reported complete resolution or substantial control, and, of the 57 patients suffering from recurrent vertigo attacks, 44 (77.2%) reported a reduction in the frequency of the attacks of at least 50%.

scholarly journals A Framework and a Web Application for Self-assessment of Sustainable Green ICT Practices in SMEs

2018 ◽  
Author(s):  
Farniba Khan ◽  
Jari Porras
Keyword(s):  
Cost Reduction ◽  
Web Application ◽  
Present Situation ◽  
Competitive Advantages ◽  
Self Assessment ◽  
Environment Friendly ◽  
Maturity Models ◽  
Business Goals ◽  
Green Ict ◽  
Significant Attention

Green ICT has received significant attention in organizations to reduce global warming since last decade. Several maturity models have been proposed for tracking green ICT practices in organizations. Current literature shows that SMEs around the world try to follow some common strategies such as virtualization, consolidation of devices, energy efficiency and disposal of ICT equipment for greening ICT. The increasing interest for green ICT practices in organizations is not only due to the desire to attain environment-friendly atmosphere but mainly because of sustaining business goals such as cost reduction, competitive advantages and stakeholders&rsquo; pressure. Nevertheless, due to the lack of green ICT knowledge, organizations, specially SMEs, tend to ignore those practices. Therefore, this research proposes a framework that provides combination of existing green and sustainable ICT maturity models by mapping them with the strategies the businesses are already following. Out of this framework, a web application has been developed that provides questionnaire for SMEs to identify their present situation of green ICT practices and guidelines for improvement. The results have been analyzed by testing the application in some SMEs of Finland and Bangladesh. Finally, a survey has been conducted to attain SMEs&rsquo; perception about the possibility of sustainable development of businesses through this application.

scholarly journals Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application

10.2196/19855 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e19855 ◽  
Author(s):  
Fabrice Denis ◽  
Simon Galmiche ◽  
Aurélien Dinh ◽  
Arnaud Fontanet ◽  
Arnaud Scherpereel ◽  
...  
Keyword(s):  
Web Application ◽  
Correlation Coefficients ◽  
Warning Signs ◽  
Phone Call ◽  
Self Assessment ◽  
Self Monitoring ◽  
Application Data ◽  
Participatory Surveillance ◽  
Electronic Questionnaires ◽  
Zip Code

Background We developed a self-assessment and participatory surveillance web application for coronavirus disease (COVID-19), which was launched in France in March 2020. Objective Our objective was to determine if self-reported symptoms could help monitor the dynamics of the COVID-19 outbreak in France. Methods Users were asked questions about underlying conditions, sociodemographic status, zip code, and COVID-19 symptoms. Depending on the symptoms reported and the presence of coexisting disorders, users were told to either stay at home, contact a general practitioner (GP), or call an emergency phone number. Data regarding COVID-19–related hospitalizations were retrieved from the Ministry of Health. Results As of March 29, 2020, the application was opened 4,126,789 times; 3,799,535 electronic questionnaires were filled out; and 2,477,174 users had at least one symptom. In total, 34.8% (n=1,322,361) reported no symptoms. The remaining users were directed to self-monitoring (n=858,878, 22.6%), GP visit or teleconsultation (n=1,033,922, 27.2%), or an emergency phone call (n=584,374, 15.4%). Emergency warning signs were reported by 39.1% of participants with anosmia, a loss of the sense of smell (n=127,586) versus 22.7% of participants without anosmia (n=1,597,289). Anosmia and fever and/or cough were correlated with hospitalizations for COVID-19 (Spearman correlation coefficients=0.87 and 0.82, respectively; P<.001 for both). Conclusions This study suggests that anosmia may be strongly associated with COVID-19 and its severity. Despite a lack of medical assessment and virological confirmation, self-checking application data could be a relevant tool to monitor outbreak trends. Trial Registration ClinicalTrials.gov NCT04331171; https://clinicaltrials.gov/ct2/show/NCT04331171

scholarly journals Epidemiological Observations on the Association Between Anosmia and COVID-19 Infection: Analysis of Data From a Self-Assessment Web Application (Preprint)

2020 ◽  
Author(s):  
Fabrice Denis ◽  
Simon Galmiche ◽  
Aurélien Dinh ◽  
Arnaud Fontanet ◽  
Arnaud Scherpereel ◽  
...  
Keyword(s):  
Web Application ◽  
Correlation Coefficients ◽  
Warning Signs ◽  
Phone Call ◽  
Self Assessment ◽  
Self Monitoring ◽  
Application Data ◽  
Participatory Surveillance ◽  
Electronic Questionnaires ◽  
Zip Code

BACKGROUND We developed a self-assessment and participatory surveillance web application for coronavirus disease (COVID-19), which was launched in France in March 2020. OBJECTIVE Our objective was to determine if self-reported symptoms could help monitor the dynamics of the COVID-19 outbreak in France. METHODS Users were asked questions about underlying conditions, sociodemographic status, zip code, and COVID-19 symptoms. Depending on the symptoms reported and the presence of coexisting disorders, users were told to either stay at home, contact a general practitioner (GP), or call an emergency phone number. Data regarding COVID-19–related hospitalizations were retrieved from the Ministry of Health. RESULTS As of March 29, 2020, the application was opened 4,126,789 times; 3,799,535 electronic questionnaires were filled out; and 2,477,174 users had at least one symptom. In total, 34.8% (n=1,322,361) reported no symptoms. The remaining users were directed to self-monitoring (n=858,878, 22.6%), GP visit or teleconsultation (n=1,033,922, 27.2%), or an emergency phone call (n=584,374, 15.4%). Emergency warning signs were reported by 39.1% of participants with anosmia, a loss of the sense of smell (n=127,586) versus 22.7% of participants without anosmia (n=1,597,289). Anosmia and fever and/or cough were correlated with hospitalizations for COVID-19 (Spearman correlation coefficients=0.87 and 0.82, respectively; <i>P</i>&lt;.001 for both). CONCLUSIONS This study suggests that anosmia may be strongly associated with COVID-19 and its severity. Despite a lack of medical assessment and virological confirmation, self-checking application data could be a relevant tool to monitor outbreak trends. CLINICALTRIAL ClinicalTrials.gov NCT04331171; https://clinicaltrials.gov/ct2/show/NCT04331171

scholarly journals The Association Between App-Administered Depression Assessments and Suicidal Ideation in User Comments: Retrospective Observational Study (Preprint)

2020 ◽  
Author(s):  
Shelly DeForte ◽  
Yungui Huang ◽  
Tran Bourgeois ◽  
Syed-Amad Hussain ◽  
Simon Lin
Keyword(s):  
Suicidal Ideation ◽  
Observational Study ◽  
Statistical Tests ◽  
Clinical Diagnostics ◽  
Retrospective Observational Study ◽  
Depression Symptoms ◽  
Self Assessment ◽  
Potential Harm ◽  
User Comments ◽  
Depression Assessment

BACKGROUND Many people use apps to help understand and manage their depression symptoms. App-administered questionnaires for the symptoms of depression, such as the Patient Health Questionnaire-9, are easy to score and implement in an app, but may not be accompanied by essential resources and access needed to provide proper support and avoid potential harm. OBJECTIVE Our primary goal was to evaluate the differences in risks and helpfulness associated with using an app to self-diagnose depression, comparing assessment-only apps with multifeatured apps. We also investigated whether, what, and how additional app features may mitigate potential risks. METHODS In this retrospective observational study, we identified apps in the Google Play store that provided a depression assessment as a feature and had at least five user comments. We separated apps into two categories based on those having only a depression assessment versus those that offered additional supportive features. We conducted theoretical thematic analyses over the user reviews, with thematic coding indicating the helpfulness of the app, the presence of suicidal ideation, and how and why the apps were used. We compared the results across the two categories of apps and analyzed the differences using chi-square statistical tests. RESULTS We evaluated 6 apps; 3 provided only a depression assessment (assessment only), and 3 provided features in addition to self-assessment (multifeatured). User comments for assessment-only apps indicated significantly more suicidal ideation or self-harm (n=31, 9.4%) compared to comments for multifeatured apps (n=48, 2.3%; <i>X</i><sup>2</sup><sub>1</sub>=43.88, <i>P</i>&lt;.001). Users of multifeatured apps were over three times more likely than assessment-only app users to comment in favor of the app’s helpfulness, likely due to features like mood tracking, journaling, and informational resources (n=56, 17% vs n=1223, 59% respectively; <i>X</i><sup>2</sup><sub>1</sub>=200.36, <i>P</i>&lt;.001). The number of users under the age of 18 years was significantly higher among assessment-only app users (n=40, 12%) than multifeatured app users (n=9, 0.04%; <i>X</i><sup>2</sup><sub>1</sub>=189.09, <i>P</i>&lt;.001). CONCLUSIONS Apps that diagnose depression by self-assessment without context or other supportive features are more likely to be used by those under 18 years of age and more likely to be associated with increased user distress and potential harm. Depression self-assessments in apps should be implemented with caution and accompanied by evidence-based capabilities that establish proper context, increase self-empowerment, and encourage users to seek clinical diagnostics and outside help. CLINICALTRIAL

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