nowledge, perception, and confidence of healthcare workers about COVID-19 preventive measures during the first wave of the pandemic: a cross-sectional study from Egypt

El-Gibaly, Omaima; Daef, Enas; Elghazally, Shimaa A.; Hassan, Hebatallah M.; ElsaidTash, Rehab M; Bahgat, Shereen; Elantouny, Neveen G.; Zarzour, Amro A.; Othman, Marwa M Ayesh; El-Sokkary, Rehab H.

doi:10.18683/germs.2021.1255

Cited by 7 publications

(8 citation statements)

References 17 publications

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“…One Romania study found that many young parents prohibited their children to carry out educational and recreational activities because of excessive concern for COVID-19 infection (37). Another Egypt study found that healthcare workers had lacked confidence to protect themselves and their families during the COVID-19 pandemic due to wider social networks and professional information resources (38). These findings is consistent with the findings of previous studies (39)(40)(41), but contrary to a Portuguese study that reported older individuals have a higher risk perception for mental disorders in the state of emergency (42).…”

Section: Discussionmentioning

confidence: 99%

Trends and Factors Associated With Risk Perception, Anxiety, and Behavior From the Early Outbreak Period to the Controlled Period of COVID-19 Epidemic: Four Cross-Sectional Online Surveys in China in 2020

Liu

Han

et al. 2022

Front. Public Health

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Background: The first wave of the COVID-19 epidemic in China was brought under with 3 months—from mid-January 2020 to the end of March 2020. Less studies examined dynamic psychological effect and behaviors during COVID-19 pandemic. This study aims to examine perceived risk, anxiety, and behavioral response of the general public related to the outbreak of COVID-19 in four cross-sectional surveys conducted throughout China.Methods: In 2020, four cross-sectional, population-based online survey were conducted from January 28 to February 3, from February 10 to 12, from February 20 to 22, and from March 1 to 10, respectively. Convenience sampling was used for easy recruiting survey participants under the long-term impact of the COVID-19 epidemic. The four independent online questionnaires were sent from the same approach (WeChat and MicroBlog), and anyone who receives the questionnaire on the Internet or mobile phone and meets the inclusion criteria could fill in it. The same questionnaires repeatedly used in the four surveys. Socio-demographic information and individual protective practice were collected and the state-trait anxiety inventory (STAI) was used for measuring anxiety. Propensity score matching was used to adjust for differences in baseline characteristics among the four surveys. Wilcoxon signed ranks test was used to compare people's perceived risk, anxiety and protective behaviors changes in four stages. General linear model was used to identify associations between some demographic factors and perceived risk, anxiety scores, and protective behaviors.Results: The proportion of high perceived risk has dropped from 24.7 to 4.7%. The proportion of severe anxiety has declined from 12.2 to 1.2%. The proportion of people wore masks when they went out has increased from 97.0 to 98.3%. Women were more likely to develop anxiety (OR = 1.5, 95%CI: 1.4–1.6) and more positively adopted recommended behaviors (OR = 2.1, 95%CI: 1.3–3.4) than men. People at age 30–39 years, with high-degree education, with married status, and accompanied with poor self-rated health status were prone to have higher risk perception and anxiety. Perceived risk was significantly associated with anxiety over the entire periods. Anxiety levels had stronger associations with adoption of protective behaviors (wearing mask and avoiding crowed place) in the early epidemic periods than in the late epidemic periods.Conclusions: The levels of perceived risk and anxiety showed a trend of rising first and then falling. Gradually upward trend on initiative preventive behaviors including wearing mask and avoiding visiting crowded places also was observed through scanning data at four stages. People at age 30–39 years, with high-degree education, and accompanied with poor self-rated health status were prone to have higher risk perception and anxiety. Our findings showed that people simultaneously presented both high-level risk perception and anxiety across the four wave surveys, leading to their positive self-prevention and protective behavior.

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Section: Discussionmentioning

confidence: 99%

Trends and Factors Associated With Risk Perception, Anxiety, and Behavior From the Early Outbreak Period to the Controlled Period of COVID-19 Epidemic: Four Cross-Sectional Online Surveys in China in 2020

Liu

Han

et al. 2022

Front. Public Health

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“…Data was collected by a sheet developed after review of literature [ 18 , 19 ]. It included: age, sex, occupation, comorbidities (bronchial asthma, allergic rhinitis, chronic sinusitis, ischemic heart diseases, hypertension, cerebrovascular accidents), duration of work in the isolation hospital, start of work in the isolation hospital, frequency of contact with SARS-CoV-2 patients, the used personal protective equipment (PPE), previous SARS-CoV-2 infection, symptoms SARS-CoV-2 infections, laboratory data at infection time ((complete blood count (CBC), serum ferritin, lactate dehydrogenase, D-dimer, kidney function tests, liver function tests, arterial blood gases) radiological findings at time of infection and the duration of viral shedding at time of infection.…”

Section: Methodsmentioning

confidence: 99%

Sero-prevalence of anti-SARS-CoV-2 antibodies among healthcare workers: A multicenter study from Egypt

El-Sokkary¹,

Daef²,

El‐Korashi³

et al. 2021

Journal of Infection and Public Health

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Background Healthcare workers (HCWs) are at a high risk for disease exposure. Given the limited availability of nucleic acid testing by PCR in low resource settings, serological assays can provide useful data on the proportion of HCWs who have recently or previously been infected. Therefore, in this study, we conducted an immunologic study to determine the seroprevalence of anti-SARS-CoV-2 antibodies in two university hospitals in Egypt. Methods in this cross sectional study, HCWs who were working in SARS-CoV-2 Isolation Hospitals were interviewed. Estimating specific antibodies (IgM and IgG) against SARS-CoV-2 was carried out using an enzyme-linked immunosorbent assay targeting the Spike antigen of SARS-CoV-2 virus. Results Out of 111, 82 (74%) HCWs accepted to participate with a mean age of 31.5 ± 8.5 years. Anti-SARS-COV2 antibodies were detected in 38/82 (46.3%) of cases with a mean age of 31 years and female HCWs constituted 57.6% of cases. The highest rate of seropositivity was from the nurses (60.5%), and physicians (31.6%) with only (7.9%) technicians. Only 28/82 (34.1%) HCWs reported previous history of COVID19. We reported a statistically significant difference in the timing of exposure (p = 0.010) and the frequency of contact with COVID-19 cases (p = 0.040) between previously infected and on-infected HCWs. Longer time of recovery was reported from IgG positive HCWs (p = 0.036). Conclusion The high frequency of seropositive HCWs in investigated hospitals is alarming, especially among asymptomatic personnel. Confirmation of diseased HCWs (among seropositive ones) are warranted.

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“…In Italy, awareness of AMR among healthcare workers was generally low and extremely varied across professional groups [45]. Moreover, studies that analyzed preventive measures in healthcare workers during the pandemic have reported poorer results [46,47]. Thus, the current picture suggests that additional campaigns should be developed to counteract the negative effects of COVID-19.…”

Section: Discussionmentioning

confidence: 99%

How COVID-19 Has Influenced Public Interest in Antimicrobials, Antimicrobial Resistance and Related Preventive Measures: A Google Trends Analysis of Italian Data

et al. 2022

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Google Trends analytics is an innovative way to evaluate public interest in antimicrobial resistance (AMR) and related preventive measures. In the present study, we analyzed Google Trends data in Italy, from 2016 to 2021. A joinpoint analysis was performed to assess whether and how annual campaigns and the COVID-19 pandemic affected public interest in antimicrobials, AMR, hand hygiene, and the use of disinfectant. For the terms “antimicrobials” and “antimicrobial resistance”, no joinpoints were detected around the time of the World Antimicrobial Awareness Week. Similarly, the COVID-19 pandemic seems to have had no effect on public interest in this term. For the term “handwashing”, no joinpoints were detected around World Hand Hygiene Day or Global Handwashing Day. However, three joinpoints were detected around the peak of interest observed in March 2020, after the beginning of the COVID-19 pandemic. Comparable results were obtained for the term “disinfectant”. These findings show that the influence of annual campaigns on public interest in AMR and preventive measures was modest and not long-term. The COVID-19 pandemic, meanwhile, had no effect on AMR but raised awareness on preventive measures. However, this was a temporary rather than long-term outcome. Thus, different policies, strategies, and measures should be designed to advocate prevention of AMR in the COVID-19 era.

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nowledge, perception, and confidence of healthcare workers about COVID-19 preventive measures during the first wave of the pandemic: a cross-sectional study from Egypt

Cited by 7 publications

References 17 publications

Trends and Factors Associated With Risk Perception, Anxiety, and Behavior From the Early Outbreak Period to the Controlled Period of COVID-19 Epidemic: Four Cross-Sectional Online Surveys in China in 2020

Trends and Factors Associated With Risk Perception, Anxiety, and Behavior From the Early Outbreak Period to the Controlled Period of COVID-19 Epidemic: Four Cross-Sectional Online Surveys in China in 2020

Sero-prevalence of anti-SARS-CoV-2 antibodies among healthcare workers: A multicenter study from Egypt

How COVID-19 Has Influenced Public Interest in Antimicrobials, Antimicrobial Resistance and Related Preventive Measures: A Google Trends Analysis of Italian Data

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