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1.
Annals of the Rheumatic Diseases ; 82(Suppl 1):746-747, 2023.
Article in English | ProQuest Central | ID: covidwho-20244220

ABSTRACT

BackgroundRheumatoid arthritis (RA) and spondyloarthritis, including either Psoriatic Arthritis (PsA) and Ankylosing Spondylitis (AS), are some of the most diagnosed autoimmune rheumatic diseases (AIRDs) in rheumatologists' routine clinical practice [1]. Understanding patients' health and functional status is crucial to provide personalized management strategies to optimize disease control and enhance the quality of life.ObjectivesWe aimed to compare disease burden in patients with RA, PsA or AS by assessing Patient-Reported Outcome Measurement Information System (PROMIS) Physical Health, Global Mental Health, Physical Function and Fatigue 4a together with VAS Pain.MethodsData were obtained in the international COVID vaccination in autoimmune rheumatic diseases study second e-survey (COVAD study). Demographics, AIRD diagnosis, disease activity, PROMIS Global Physical health, PROMIS Global Mental Health, PROMIS Physical Function SF10 and PROMIS Fatigue 4a score were extracted from the COVAD study database. For this study, we only included patients with self-reported RA or spondyloarthritis (either PsA or AS) undergoing active treatment with conventional synthetic disease-modifying drugs (DMARDs) and/or biologic DMARDs, who answered all the survey questions. Active disease was defined as the patient's perception of their disease as active in the four weeks before their first COVID-19 vaccine shot. Analysis of Variance with Bartlett's and Tukey's test was used to compare continuous variables between groups.ResultsFrom January to June 2022, n.1907 patients with RA, female 87.62% (1671/1907), with mean age (±SD) 50.95 ±13.67, n.311 patients with PsA, female 67.20% (209/311), with a mean age of 50.42 ±12.70, and n.336 patients with AS, male 51.31% (209/311), with a mean age of 43.13 ±12.75 years, responded to the COVAD e-survey.In those with active disease, neither physical health, global mental health, physical function, fatigue, nor pain were different among groups (Table 1, Figure 1). Patients with inactive AS had higher mean global physical health scores than RA patients (13.13 ±2.93 VS RA 12.48 ±2.90, p=0.01, Table 1). Those with inactive RA or PsA showed more severe fatigue (PsA 10.58 ±2.22, RA 10.45 ±4.08 VS 9.4 ±4.13, p =0.01 for both). Patients with inactive RA also reported poorer physical function and more residual pain than those with AS (37.79 ±8.86 VS 41.13 ±7.79, p<0.001;3.87 ±2.45 VS 3.34 ±2.39, p=0.01, respectively). Similarly, residual pain was perceived as higher in patients with inactive PsA than those with AS (4.04 ±2.50 VS 3.34 ±2.39, p=0.01)ConclusionDisease burden is roughly comparable in patients with active RA, PsA or AS. Patients with inactive RA and PsA suffer higher disease burden than those with inactive AS.Reference[1]Mease PJ, Liu M, Rebello S, Kang H, Yi E, Park Y, Greenberg JD. Comparative Disease Burden in Patients with Rheumatoid Arthritis, Psoriatic Arthritis, or Axial Spondyloarthritis: Data from Two Corrona Registries. Rheumatol Ther. 2019 Dec;6(4):529-542.Table 1.Patient-Reported Outcome Measures between groups.Inactive diseaseAS (n.185)PsA (n.179)RA (n.1167)MeanSDMeanSDMeanSDPROMIS Global Physical Health13.13*2.9512.433.2712.482.90p=0.01, VS RAPROMIS Global Mental Health13.313.3612.973.3312.843.17PROMIS Fatigue 4a9.44.1310.58*4.2210.45*4.08p=0.01, bothPROMIS Physical Function SF10 Score41.137.3939.279.0137.79*8.86p<0.001, VS ASVAS Pain3.342.394.04*2.503.87*2.45p=0.01, bothActive DiseaseAS (n.35)PsA (n.38)RA (n.189)MeanSDMeanSDMeanSDPROMIS Global Physical Health11.053.1910.102.7611.243.41PROMIS Global Mental Health11.313.2610.843.6311.893.30PROMIS Fatigue 4a12.944.8712.844.4211.754.68PROMIS Physical Function SF10 Score35.829.6233.528.7634.909.80VAS Pain4.682.775.02.544.682.61Figure 1.Violin plots showing kernel densities, quartiles and median for Patient-Reported Outcome Measures for patients with RA, PsA and AS, stratified by disease activity status.[Figure omitted. See PDF]Acknowledgements:NIL.Disclosure of InterestsVincenzo Venerito: None declared, Marc Fornaro: None declared, Florenzo Iannone: None declared, Lorenzo Cavagna: None declared, Masataka Kuwana: None declared, Vishwesh Agarwal: None declared, Naveen Ravichandran: None declared, Jessica Day Grant/research support from: JD has received research funding from CSL Limited., Mrudula Joshi: None declared, Sreoshy Saha: None declared, Syahrul Sazliyana Shaharir: None declared, Wanruchada Katchamart: None declared, Phonpen Akarawatcharangura Goo: None declared, Lisa Traboco: None declared, Yi-Ming Chen: None declared, Parikshit Sen: None declared, James B. Lilleker Speakers bureau: JBL has received speaker honoraria/participated in advisory boards for Sanofi Genzyme, Roche, and Biogen. None is related to this manuscript., Consultant of: JBL has received speaker honoraria/participated in advisory boards for Sanofi Genzyme, Roche, and Biogen. None is related to this manuscript., Arvind Nune: None declared, John Pauling: None declared, Chris Wincup: None declared, Ai Lyn Tan Speakers bureau: ALT has received honoraria for advisory boards and speaking for Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB., Nelly Ziade Speakers bureau: NZ has received speaker fees, advisory board fees, and research grants from Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and Pierre Fabre;none are related to this manuscript, Grant/research support from: NZ has received speaker fees, advisory board fees, and research grants from Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and Pierre Fabre;none are related to this manuscript, Marcin Milchert: None declared, Abraham Edgar Gracia-Ramos: None declared, Carlo Vinicio Caballero: None declared, COVAD Study: None declared, Vikas Agarwal: None declared, Rohit Aggarwal Speakers bureau: RA has a consultancy relationship with and/or has received research funding from the following companies: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, and Roivant., Grant/research support from: RA has a consultancy relationship with and/or has received research funding from the following companies: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, and Roivant., Latika Gupta: None declared.

2.
Annals of the Rheumatic Diseases ; 82(Suppl 1):540-541, 2023.
Article in English | ProQuest Central | ID: covidwho-20235126

ABSTRACT

BackgroundAlthough many studies have been conducted on COVID-19 in recent years, there are still unanswered questions regarding breakthrough infections (BTIs), particularly in patients with systemic lupus erythematosus (SLE).ObjectivesThis study aimed to determine the occurrence of breakthrough COVID-19 infections in patients with SLE versus other autoimmune rheumatic diseases (AIRDs), non-rheumatic autoimmune diseases (nrAIDs), and healthy controls (HCs).MethodsThe study was based on data from the COVAD questionnaire which amassed a total of 10,783 complete responses from patients with SLE, AIRD, or nrAIRD, and HCs. After exclusion of individuals who were unvaccinated, those who received one vaccine dose only, and those with uncertain responses regarding the vaccine doses, a total of 9,595 patients formed the study population of the present investigation. If a COVID-19 infection occurred after the initial two vaccine doses and at least one booster dose (at least three doses in total, herein termed full vaccination), it was considered a BTI. Data were analysed using multivariable regression models. Statistically significant results were denoted by p values <0.05.ResultsA total of 7,016/9,595 (73.1%) individuals were fully vaccinated. Among those, 1,002 (14.2%) reported at least one BTI, and 166 (2.3%) reported at least two BTIs. Among SLE patients, 867/1,218 (71.2%) were fully vaccinated. Among fully vaccinated SLE patients, 137 (15.8%) reported at least one BTI while 28 (3.2%) reported at least two BTIs. BTI frequencies in fully vaccinated SLE patients were comparable to those of other AIRDs (OR: 1.0;95% CI: 0.8–1.3;p=0.447) and nrAIDS (OR: 0.9;95% CI: 0.6–1.3;p=0.856) but higher compared with HCs (OR: 1.2;95% CI: 1.0–1.6;p=0.022).For SLE patients with three vaccine doses, 113/137 (82.5%) reported at least one BTI while the corresponding number for four vaccine doses was 24/137 (17.5%). Compared with HCs (OR: 10.6;95% CI: 1.2–93.0;p=0.032) and other AIRDs (OR: 3.5;95% CI: 1.08–11.5;p=0.036), SLE patients showed higher frequencies of hospitalisation.AID multimorbidity was associated with a 15-fold increased risk for a need of advanced treatment for COVID-19 (OR: 15.3;95% CI: 2.6–88.2;p=0.002).ConclusionCOVID-19 BTIs occurred in nearly 1 every 6th fully vaccinated patient with SLE, and 20% more frequently in this patient population compared with fully vaccinated HCs. Moreover, BTIs in SLE patients were more severe compared with BTIs in HCs or patients with AIRDs other than SLE, resulting in a greater need for hospitalisation. AID multimorbidity contributed to a more severe COVID-19 BTI requiring advanced management. These insights call for greater attention to vaccination in the vulnerable group of SLE patients, with appropriate risk stratification towards optimised vaccination strategies.Figure 1.Survival analysis across patients with SLE, AIRDs, or nrAIDs, and HCs. SLE: systemic lupus erythematosus;AIRD: autoimmune rheumatic disease;nrAID: non-rheumatic autoimmune disease;HC: healthy control.[Figure omitted. See PDF]AcknowledgementsThe authors thank all survey respondents, as well as patient associations and all members of the COVAD study group for their invaluable role in the data collection.Disclosure of InterestsEmelie Kihlgren Olsson: None declared, Naveen Ravichandran: None declared, Elena Nikiphorou Speakers bureau: EN has received speaker honoraria/participated in advisory boards for Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, and Lilly., Consultant of: EN has received speaker honoraria/participated in advisory boards for Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, and Lilly., Grant/research support from: EN holds research grants from Pfizer and Lilly., Julius Lindblom: None declared, Sreoshy Saha: None declared, Syahrul Sazliyana Shaharir: None declared, Wanruchada Katchamart: None declared, Phonpen Akarawatcharangura Goo: None declared, Lisa Traboco: None declared, Yi-Ming Chen: None declared, Kshitij Jagtap: None declared, James B. Lilleker Speakers bureau:

3.
Annals of the Rheumatic Diseases ; 82(Suppl 1):941-942, 2023.
Article in English | ProQuest Central | ID: covidwho-20232116

ABSTRACT

BackgroundViral infections are known triggers of disease flares in idiopathic inflammatory myopathies (IIMs). Reports of post-COVID-19 flares of IIMs have raised suspicion of a possible role of SARS-COV-2 in their onset [1,2]. However, despite rising flare rates in this vulnerable patient group during the pandemic, the risk factors for post-COVID-19 IIMs flares remain unknown [3,4].ObjectivesDisease flares among patients with idiopathic inflammatory myopathies (IIMs) can lead to significant disability, though are poorly explored in the post-COVID-19 period. We analysed risk factors for post-COVID-19 flares in a global sample of IIM patients in a subset analysis as part of the ongoing COVID-19 Vaccination in Autoimmune Diseases (COVAD) study.MethodsA cross-sectional patient self-reporting survey was circulated by the international COVAD study group (157 collaborators, 106 countries) to patients with autoimmune diseases and healthy controls from February-June 2022. Data was collected on demographics, autoimmune disease details, treatment history, comorbidities, COVID-19 history and course and COVID-19 vaccination details. Patients with IIMs who flared post COVID-19 were compared to those who did not using the χ2 test, factors found significant in univariate analysis and deemed clinically important, underwent multivariable analysis (binary logistic regression using the Enter method) with adjustment for age, gender, ethnicity, vaccine type, immunosuppression, autoimmune and non-autoimmune comorbidities, COVID-19 antibody status, and clinical symptoms of COVID-19. Statistical analyses were performed using IBM SPSS version 28.0, with statistical significance considered at p<0.05.Results15,165 respondents completed the survey of whom 1,169 contracted COVID-19. Of these, 207 had IIMs [median (IQR) age 57.0 (47.0-67.0), 71% female, 74.4% Caucasian]. We noted with concern that nearly a third of patients with IIMs (63/207, 30.4%) reported experiencing a flare. A past medical history significant for Asthma, (34.9% vs 6.9%, multivariable OR: 7.1;95%CI: 3.1-16.4, p<0.001) and specific clinical symptoms during COVID-19 including joint pains (multivariable OR: 6.05;95%CI: 1.60-22.9, p=0.008), and difficulty in breathing (multivariable OR: 3.43;95%CI: 1.09-10.8, p=0.036) were found to confer conferred a higher risk of flares (Table 1).Table 1Patient Reported Flares following COVID-19 infection among IIM patientsTotal IIMs (n=207)IIMs with flare after COVID-19 (n=63)IIMs without flare after COVID-19 (n=144)OR (95%CI)PAge (median, IQR) years57.0 (47.0-67.0)53.0 (47.0-62.0)59.0 (47.0-69.0)-0.024GenderMale Female60 (29.0) 147 (71.0)7 (11.1) 56 (88.9)53 (36.8) 91 (63.2)0.2 (0.09-0.5)< 0.001ComorbiditiesAsthma ILD32 (15.5) 31 (15.0)22 (34.9) 11 (17.5)10 (6.9) 20 (13.9)7.1 (3.1-16.4) 1.3 (0.5-2.9)<0.001 00.508Clinical features in previous COVID-19 infectionFatigue Myalgia Arthralgia Difficulty in breathing134 (64.7) 94 (45.4) 56 (27.1) 41 (19.8)52 (82.5) 44 (69.8) 36 (57.1) 27 (42.9)82 (56.9) 50 (34.7) 20 (13.9) 14 (9.7)3.5 (1.7-7.4) 4.3 (2.3-8.2) 8.2 (4.1-16.4) 6.9 (3.3-14.6)<0.001 <0.001 <0.001 <0.001ConclusionWe observed a high frequency of patients with IIM experiencing post-COVID-19 disease flares. A past history of Asthma and those with certain acute COVID-19 symptoms were at higher risk.References[1]Saud A, Naveen R, Aggarwal R, Gupta L. COVID-19 and Myositis: What We Know So Far. Curr Rheumatol Rep 2021;23:63.[2]Gokhale Y, Patankar A, Holla U, Shilke M, Kalekar L, Karnik ND, et al. Dermatomyositis during COVID-19 Pandemic (A Case Series): Is there a Cause Effect Relationship? J Assoc Physicians India 2020;68:20–4.[3]Gupta L, Lilleker JB, Agarwal V, Chinoy H, Aggarwal R. COVID-19 and myositis - unique challenges for patients. Rheumatology (Oxford) 2021;60:907–10.[4]Naveen R, Sundaram TG, Agarwal V, Gupta L. Teleconsultation experience with the idiopathic inflammatory myopathies: a prospective observational cohort study during the COVID-19 pandemic. Rheumatol Int 2021;41:67–76.Acknowledgements:NIL.Disclosure of InterestsSa dia Sasha Ali: None declared, Naveen Ravichandran: None declared, Parikshit Sen: None declared, Jessica Day Grant/research support from: JD has received research funding from CSL Limited., Mrudula Joshi: None declared, Sreoshy Saha: None declared, Rohit Aggarwal Consultant of: RA has a consultancy relationship with and/or has received research funding from the following companies: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, and Roivant., Grant/research support from: RA has a consultancy relationship with and/or has received research funding from the following companies: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, and Roivant., Vikas Agarwal: None declared, Hector Chinoy Speakers bureau: Speaker for UCB, and Biogen. HC was supported by the National Institution for Health Research Manchester Biomedical Research Centre Funding Scheme., Grant/research support from: Has received grant support from Eli Lilly and UCB, consulting fees from Novartis, Eli Lilly, Orphazyme, Astra Zeneca, Oliver Distler Speakers bureau: OD has consultancy relationships with and/or has received research funding from or has served as a speaker for the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three years: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, Baecon, Blade, Bayer, Boehringer Ingelheim, ChemomAb, Corbus, CSL Behring, Galapagos, Glenmark, GSK, Horizon (Curzion), Inventiva, iQvia, Kymera, Lupin, Medac, Medscape, Mitsubishi Tanabe, Novartis, Roche, Roivant, Sanofi, Serodapharm, Topadur and UCB. Patent issued "mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Consultant of: OD has consultancy relationships with and/or has received research funding from or has served as a speaker for the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three years: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, Baecon, Blade, Bayer, Boehringer Ingelheim, ChemomAb, Corbus, CSL Behring, Galapagos, Glenmark, GSK, Horizon (Curzion), Inventiva, iQvia, Kymera, Lupin, Medac, Medscape, Mitsubishi Tanabe, Novartis, Roche, Roivant, Sanofi, Serodapharm, Topadur and UCB. Patent issued "mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Grant/research support from: OD has consultancy relationships with and/or has received research funding from or has served as a speaker for the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three years: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, Baecon, Blade, Bayer, Boehringer Ingelheim, ChemomAb, Corbus, CSL Behring, Galapagos, Glenmark, GSK, Horizon (Curzion), Inventiva, iQvia, Kymera, Lupin, Medac, Medscape, Mitsubishi Tanabe, Novartis, Roche, Roivant, Sanofi, Serodapharm, Topadur and UCB. Patent issued "mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Carlo Vinicio Caballero: None declared, Carlos Enrique Toro Gutierrez: None declared, Dey Dzifa: None declared, Ashima Makol: None declared, Ai Lyn Tan Speakers bureau: Has received honoraria for advisory boards and speaking for Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB., Consultant of: has received honoraria for advisory boards and speaking for Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB., Samuel Katsuyuki Shinjo: None declared, Vishwesh Agarwal: None declared, Latika Gupta: None declared.

4.
International Journal of Rheumatic Diseases ; 26(Supplement 1):51-53, 2023.
Article in English | EMBASE | ID: covidwho-2235178

ABSTRACT

Background: Patients with comorbidities and active rheumatic disease have increased morbidity and hospitalization following SARS-CoV- 2 infection. While vaccination has decreased this, many unknown factors still influence COVID-19 vaccine hesitancy. The data on predictors of vaccine hesitancy is regional and scarce. We aimed to analyze the factors influencing vaccine hesitancy in 2022 and compare them with those in 2021 through multicentre international e-surveys (The COVID-19 Vaccination in Autoimmune Diseases Studies -COVAD study 1 and 2). Method(s): COVAD 1 and 2 are multi-centre international e-survey with 152 collaborators in 106 countries including patients with idiopathic inflammatory myopathies (IIM), autoimmune rheumatic diseases (AIRDs), other autoimmune diseases (AIDs), and healthy controls (HCs) conducted in March-December 2021 and February-June 2022 (ongoing), respectively. Descriptive and multivariable regression adjusting for age, gender, ethnicity, and stratified by country of residence was performed. Result(s): Among the 18 882 (2021) and 7666 complete responses (2022), and 3109 (16.5%) and 387 (5.1%) did not receive any COVID-19 vaccine, respectively. The prevalence of vaccine hesitancy has decreased [OR 0.26 (0.24-0.3), P < 0.001]. Among the 387 vaccine non-recipients in 2022, numbers were as follows: IIM 69 (17%), AIRDs 179 (46%), other AIDs 80 (20.6%), and HC 59 (15%). The reasons for vaccine hesitancy in 2022 included: doctor advising against it 47 (12%), do not believe in the science behind the vaccine 79 (21%), long-term safety concerns 152 (39%), awaiting more safety data 105 (27%), and not recommended due to recent infection 30 (7%). Compared to AIRDs and HCs, IIM patients were more disbelievers of the science behind the vaccine [OR 1.8 (1.08-3.2), P = 0.023 AIRDs, OR 4 (1.9-8.1), P < 0.001 HC], had more long-term safety concerns [OR 1.9 (1.2-2.9), P = 0.001 AIRDs, OR 5.4 (3-9.6), P < 0.001 HC] and had more doctors recommending against the vaccine [OR 12.9 (2.8-59), P < 0.001 HC]. Vaccine non-recipients had higher pain visual analog score (VAS) (P < 0.001), lower fatigue VAS (P = 0.003), lower PROMIS10a physical health (P < 0.001), and mental health scores (P = 0.015). The factors predicting vaccine hesitancy in regression were lower PROMIS10a global physical health score [OR 0.9 (0.8-0.97), P = 0.014] and Caucasian ethnicity [OR 4.2 (1.7-10.3), P = 0.001]. Compared to 2021, doctor's advising against vaccination [OR 2.5 (1.8-3.6), P < 0.001] and long-term safety concerns [OR 3.6 (2.9-4.6), P < 0.001] were more frequent causes of vaccine hesitancy overall whereas vaccine non-availability [OR 0.05 (0.02-0.11), P < 0.001] and have scheduled the vaccination but not received [OR 0.1 (0.06-0.3), P < 0.001] were less frequent causes in 2022. Conclusion(s): Overall, the prevalence of COVID-19 vaccine hesitancy has decreased. Long-term safety concerns and the need for more safety data are now the major reasons for vaccine hesitancy. Caucasian ethnicity and lower physical health scores are predictors of vaccine hesitancy. The increase in physicians recommending against vaccination calls for more physician awareness to mitigate vaccine hesitancy.

5.
Atmosfera ; 36(2):343-354, 2023.
Article in English | Scopus | ID: covidwho-2204802

ABSTRACT

This paper analyzes the relation between COVID-19, air pollution, and public transport mobility in the Mexico City Metropolitan Area (MCMA). We test if the restrictions to economic activity introduced to mitigate the spread of COVID-19 are associated with a structural change in air pollution levels and public transport mobility. Our results show that mobility in public transportation was significantly reduced following the government's recommendations. Nonetheless, we show that the reduction in mobility was not accompanied by a reduction in air pollution. Furthermore, Granger-causality tests show that the precedence relation between public transport mobility and air pollution disappeared as a product of the restrictions. Thus, our results suggest that air pollution in the MCMA seems primarily driven by industry and private car usage. In this regard, the government should redouble its efforts to develop policies to reduce industrial pollution and private car usage. © 2023 Universidad Nacional Autónoma de México, Instituto de Ciencias de la Atmósfera y Cambio Climático. This is an open access article under the CC BY-NC License (http://creativecommons.org/licenses/by-nc/4.0/).

6.
Revista Espanola de Salud Publica ; 96:31, 2022.
Article in Spanish | MEDLINE | ID: covidwho-1824200

ABSTRACT

OBJECTIVE: One of the steps adopted to mitigate the pandemic due to SARS-CoV-2 is the use of face masks by the general population. For a face mask to be effective it should cover the nose and the mouth. We wanted to measure the correct use of the face mask by the general population in open public spaces through direct observation. METHODS: We conducted an observational study of the proper use of face masks among the general population in open public places in Bilbao, Santander, Oviedo and Zaragoza from 16th to 26th July, 2020 and from 23rd January to 2nd March, 2021. Sampling for convenience;compliance of the proper use of a mask was evaluated when adults completely covered their mouth and nose. The type of mask and its improper use was registered using a standardized form. The results were obtained using frequency distribution, Pearson's chi-squared test and multivariate logistic regression analysis. RESULTS: A total of 5,464 observations were documented. The overall compliance was 89.5%. We observed that the compliance in 2021 (94.7%) was 10.9 percentage points higher than in 2020 (83.8%) (p<0.001). The main cause of non-compliance was the incorrect placement of face masks (64%);36% were without masks. The non-reusable face masks were most commonly worn (54.1%). We observed a significant increase in use of high-efficiency face masks in 2021 (27.1%) versus 2020 (13.7%). CONCLUSIONS: In all the cities where the study was conducted we observed an increase in compliance of the proper use of face masks as well as an increased usage of high-efficiency masks. The main cause of non-compliance was incorrect placement.

7.
Revista Espanola De Salud Publica ; 96:12, 2022.
Article in Spanish | Web of Science | ID: covidwho-1688295

ABSTRACT

Background: One of the steps adopted to mitigate the pandemic due to SARS-CoV-2 is the use of face masks by the general population. For a face mask to be effective it should cover the nose and the mouth. We wanted to measure the correct use of the face mask by the general population in open public spaces through direct observation. Methods: We conducted an observational study of the proper use of face masks among the general population in open public places in Bilbao, Santander, Oviedo and Zaragoza from 16th to 26th July, 2020 and from 23rd January to 2nd March, 2021. Sampling for convenience;compliance of the proper use of a mask was evaluated when adults completely covered their mouth and nose. The type of mask and its improper use was registered using a standardized form. The results were obtained using frequency distribution, Pearson's chi-squared test and multivariate logistic regression analysis. Results: A total of 5,464 observations were documented. The overall compliance was 89.5%. We observed that the compliance in 2021 (94.7%) was 10.9 percentage points higher than in 2020 (83.8%) (p<0.001). The main cause of non-compliance was the incorrect placement of face masks (64%);36% were without masks. The nonreusable face masks were most commonly worn (54.1%). We observed a significant increase in use of high-efficiency face masks in 2021 (27.1%) versus 2020 (13.7%). Conclusions: In all the cities where the study was conducted we observed an increase in compliance of the proper use of face masks as well as an increased usage of high-efficiency masks. The main cause of non-compliance was incorrect placement.

8.
Revista Latinoamericana De Tecnologia Educativa-Relatec ; 21(1):97-114, 2022.
Article in Spanish | Web of Science | ID: covidwho-1667825

ABSTRACT

The coexistence of social diversity in Spain has led to a situation of socio-economic inequality. This situation prompted the first Compensatory Educational Centers to originate from the Spanish educational system in the 1960s, whose purpose is to support the socio-educational insclusion of students. The main aim of this research is related to the possible association between socio-economic differences and a higher rate of school failure, taking into account the difficulties arising from the Covid-19 situation as ICTs have been established as the main means of communication. The objective of this study is to bring to light the use of ICT resources as a means of communication in the educational field made by the families of the Andalusian Compensatory Educational Centers, and to contrast them with the use by normative families. The sample comprises students and families from the already mentioned schools of the 2nd cycle of Early Childhood Education. To do this, the access to digital devices, the frequency with which they use the educational platforms iPasen / iSeneca, Classroom, or other alternative routes, and their purposes are analyzed. The information is compiled through questionnaires elaborated ad hoc for the research, where the main results point out specific differences between both populations regarding the access and use of the several digital resources. Finally, it can be concluded that the socio-economic level can be considered a determining factor in the communication between the family and the school.

9.
European Public and Social Innovation Review ; 6(1):29-41, 2021.
Article in English | Scopus | ID: covidwho-1362824

ABSTRACT

On 14 March 2020, the Spanish Government declared a state of alert for the first time since the reinstatement of democracy, confining millions of people to their homes in effort to combat the COVID-19 pandemic. Amid emergency situations such as this, people need to be informed (Seeger et al., 2003). In light of this demand for information, the media responded by heightening the attention afforded to the pandemic and its news coverage, a phenomenon which has occurred repeatedly in similar situations (Ducharme, 2020;Pieri, 2018). Based on a survey of over 2,000 Catalan citizens during the period of lockdown, the main aim of this article is to analyse how the pandemic changed their information habits, gauge their perception of the media’s coverage and determine whether this coverage produced information overload. The results show an upsurge in media consumption as well as information overload among virtually half the population. This generates a paradox: despite the increased consumption of information, the media did not help to improve people’s understanding of the pandemic, but instead resulted in information fatigue, thus hindering comprehension. © Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/.

11.
Econometrics ; 8(3):37, 2020.
Article | MDPI | ID: covidwho-790348

ABSTRACT

This paper studies long economic series to assess the long-lasting effects of pandemics. We analyze if periods that cover pandemics have a change in trend and persistence in growth, and in level and persistence in unemployment. We find that there is an upward trend in the persistence level of growth across centuries. In particular, shocks originated by pandemics in recent times seem to have a permanent effect on growth. Moreover, our results show that the unemployment rate increases and becomes more persistent after a pandemic. In this regard, our findings support the design and implementation of timely counter-cyclical policies to soften the shock of the pandemic.

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