The COVID-19 outbreak and Google searches: Is it really the time to worry about global mental health?

"How" web searches change under stress

To adjust to stressful environments, people seek information. Here, we show that in response to stressful public and private events the high-level features of information people seek online alter, reflecting their motives for seeking knowledge. We first show that when people want information to guide action they selectively ask "How" questions. Next, we reveal that "How" searches submitted to Google increased dramatically during the pandemic (controlling for search volume). Strikingly, the proportion of these searches predicted weekly self-reported stress of ~ 17K individuals. To rule out third factors we manipulate stress and find that "How" searches increase in response to stressful, personal, events. The findings suggest that under stress people ask questions to guide action, and mental state is reflected in features that tap into why people seek information rather than the topics they search for. Tracking such features may provide clues regrading population stress levels.

COVID-19 pandemic and mental health in Spain: An analysis of their relationship using Google Trends

INTRODUCTION

This study aims to examine the public interest that exists on Internet regarding various mental health topics and its relationship with evolution of COVID-19 pandemic in Spain.

MATERIALS AND METHODS

Google Trends was used to explore relative search volume (RSV) for the following terms related with mental health (TRMH): "anxiety", "depression", "stress", "insomnia" and "suicide"; between January and December 2020. The cross-correlation function was performed to assess association between new COVID-19 cases and RSV levels for TRMH. Finally, Mann-Whitney test was used to examine differences between RSV values for TRMH before and after of state of alarm declarations on March and October 2020.

RESULTS

The "anxiety" term showed the highest RSV indices. A significant correlation was found between new COVID-19 cases and RSV for "anxiety" with a time-lag of +1 week (r=0.49; p<.05). Was found an increase of SRV for "anxiety" (U=0.00; p=.01) and a decrease of SRV for "depression" (U=1.00; p=.04) between 4-week period before and after state of alarm of March 2020. Regarding the state of alarm of October 2020, a higher RSV for "anxiety" (U=0.50; p=.02) was found in the four weeks after it compared with a similar previous period.

CONCLUSIONS

Anxiety is the mental health topic of greatest public interest on Internet in context of COVID-19 pandemic. Public concern about anxiety rises one week after the increase in COVID-19 cases and is greater after introduction of control measures that entail any type of mobility restriction or activity limitation. There is a greater general need for information on anxiety at specific times in the pandemic evolution.

Depression and Anxiety on Twitter During the COVID-19 Stay-At-Home Period in 7 Major U.S. Cities

Introduction

Although surveys are a well-established instrument to capture the population prevalence of mental health at a moment in time, public Twitter is a continuously available data source that can provide a broader window into population mental health. We characterized the relationship between COVID-19 case counts, stay-at-home orders because of COVID-19, and anxiety and depression in 7 major U.S. cities utilizing Twitter data.

Methods

We collected 18 million Tweets from January to September 2019 (baseline) and 2020 from 7 U.S. cities with large populations and varied COVID-19 response protocols: Atlanta, Chicago, Houston, Los Angeles, Miami, New York, and Phoenix. We applied machine learning‒based language prediction models for depression and anxiety validated in previous work with Twitter data. As an alternative public big data source, we explored Google Trends data using search query frequencies. A qualitative evaluation of trends is presented.

Results

Twitter depression and anxiety scores were consistently elevated above their 2019 baselines across all the 7 locations. Twitter depression scores increased during the early phase of the pandemic, with a peak in early summer and a subsequent decline in late summer. The pattern of depression trends was aligned with national COVID-19 case trends rather than with trends in individual states. Anxiety was consistently and steadily elevated throughout the pandemic. Google search trends data showed noisy and inconsistent results.

Conclusions

Our study shows the feasibility of using Twitter to capture trends of depression and anxiety during the COVID-19 public health crisis and suggests that social media data can supplement survey data to monitor long-term mental health trends.

Impact of COVID-19 on public social life and mental health: a statistical study of google trends data from the USA

The COVID-19 pandemic has caused a significant disruption in the social lives and mental health of people across the world. This study aims to asses the effect of using internet search volume data. We categorize the widely searched keywords on the internet in several categories, which are relevant in analyzing the public mental health status. Corresponding to each category of keywords, we conduct an appropriate statistical analysis to identify significant changes in the search pattern during the course of the pandemic. Binary segmentation method of changepoint detection, along with the combination of ARMA-GARCH models are utilized in this analysis. It helps us detect how people's behavior changed in phases and whether the severity of the pandemic brought forth those shifts in behaviors. Interestingly, we find that rather than the severity of the outbreak, the long duration of the pandemic has affected the public health status more. The phases, however, align well with the so-called COVID-19 waves and are consistent for different aspects of social and mental health. We further observe that the results are typically similar for different states as well.

Alterations in mental health and quality of life among healthcare workers in times of COVID-19: Four-stage cross-sectional study during first four pandemic waves in Poland

Background

The COVID-19 pandemic has had many unexpected effects that have affected the mental health of healthcare workers. In response to the crisis, healthcare workers appear to be the most vulnerable to the psychological effects of the pandemic. The purpose of the study was to assess the prevalence of depressive and anxiety symptoms and healthcare workers' quality of life during the different stages of the COVID-19 pandemic.

Materials and methods

The questionnaire was distributed in four stages corresponding to the different waves of the pandemic in Poland. The last stage of the study covered the period from November 1, 2021 to November 31, 2021 which coincided with the fourth wave of COVID-19 in Poland. The Beck Depression Inventory II (BDI-II), Generalized Anxiety Disorderd-7 (GAD-7), and Manchester Brief Assessment of Quality of Life (MANSA) scales were used.

Results

A total of 1,243 respondents participated. A gradual increase in moderate and severe anxiety was observed as the pandemic continued, comparing waves I and IV of the pandemic. No statistically significant differences were observed in comparing the mean values of the BDI-II, GAD-7, and MANSA scales across waves. A decrease in fear due to the disease and neighbor's quarantine was found. Women, single people and those with a psychiatric history are more likely to be affected by the destructive impact of the pandemic.

Conclusion

The COVID-19 pandemic is significantly affecting the mental health and quality of life of healthcare workers, but trend is not uniform. It is necessary to continue monitoring the mental health of medical workers, who are the most important link in the fight against the pandemic.

Acne care in health care providers during the COVID ‐19 pandemic: A national survey

The medical face mask, widely used by health care providers (HCPs) during the COVID‐19 pandemic, is reported to be associated with adverse reactions, among which acne is one of the most common. This study aims to evaluate treatment strategies employed by HCPs affected by acne in association with prolonged medical face mask use, their openness towards accessing telemedicine as a patient, and other lifestyle factors with potential influence on the evolution of their acne. Our online‐based cross‐sectional survey was distributed between December 17, 2020, and February 17, 2021, and targeted HCPs from different medical centers in Romania. From the n = 134 respondents, 50% reported current acne lesions and 56.7% required treatment. Of the latter, 65.8% self‐medicated and 34.2% sought medical advice. The most common treatment associations between anti‐acne topical products were: retinoids and salicylic acid (18.18%; n = 8), retinoids and benzoyl peroxide (13.64%; n = 6), salicylic acid and benzoyl peroxide (13.64%; n = 6), and azelaic acid together with salicylic acid (9.09%; n = 4). The health care provider responders were reluctant to use telemedicine, as only 14.2% participants were open to telemedicine. Our results suggest inadequate management of acne in HCPs using medical face masks. As with other occupational hazards and proper usage of personal protective equipment, HCPs should receive adequate screening, training, and treatment for this condition.

Associations between COVID-19 mobility restrictions and economic, mental health, and suicide-related concerns in the US using cellular phone GPS and Google search volume data

During the COVID-19 pandemic, US populations have experienced elevated rates of financial and psychological distress that could lead to increases in suicide rates. Rapid ongoing mental health monitoring is critical for early intervention, especially in regions most affected by the pandemic, yet traditional surveillance data are available only after long lags. Novel information on real-time population isolation and concerns stemming from the pandemic's social and economic impacts, via cellular mobility tracking and online search data, are potentially important interim surveillance resources. Using these measures, we employed transfer function model time-series analyses to estimate associations between daily mobility indicators (proportion of cellular devices completely at home and time spent at home) and Google Health Trends search volumes for terms pertaining to economic stress, mental health, and suicide during 2020 and 2021 both nationally and in New York City. During the first pandemic wave in early-spring 2020, over 50% of devices remained completely at home and searches for economic stressors exceeded 60,000 per 10 million. We found large concurrent associations across analyses between declining mobility and increasing searches for economic stressor terms (national proportion of devices at home: cross-correlation coefficient (CC) = 0.6 (p-value <0.001)). Nationally, we also found strong associations between declining mobility and increasing mental health and suicide-related searches (time at home: mood/anxiety CC = 0.53 (<0.001), social stressor CC = 0.51 (<0.001), suicide seeking CC = 0.37 (0.006)). Our findings suggest that pandemic-related isolation coincided with acute economic distress and may be a risk factor for poor mental health and suicidal behavior. These emergent relationships warrant ongoing attention and causal assessment given the potential for long-term psychological impact and suicide death. As US populations continue to face stress, Google search data can be used to identify possible warning signs from real-time changes in distributions of population thought patterns.

Is Google Trends a useful tool for tracking mental and social distress during a public health emergency? A time-series analysis

BACKGROUND

Google Trends data are increasingly used by researchers as an indicator of population mental health, but few studies have investigated the validity of this approach during a public health emergency.

METHODS

Relative search volumes (RSV) for the topics depression, anxiety, self-harm, suicide, suicidal ideation, loneliness, and abuse were obtained from Google Trends. We used graphical and time-series approaches to compare daily trends in searches for these topics against population measures of these outcomes recorded using validated self-report scales (PHQ-9; GAD-7; UCLA-3) in a weekly survey (n = ~70,000) of the impact COVID-19 on psychological and social experiences in the UK population (21/03/2020 to 21/08/ 2020).

RESULTS

Self-reported levels of depression, anxiety, self-harm/suicidal ideation, self-harm, loneliness and abuse decreased during the period studied. There was no evidence of an association between self-reported anxiety, self-harm, abuse and RSV on Google Trends. Trends in Google topic RSV for depression and suicidal ideation were inversely associated with self-reports of these outcomes (p = 0.03 and p = 0.04, respectively). However, there was statistical and graphical evidence that self-report and Google searches for loneliness (p < 0.001) tracked one another.

LIMITATIONS

No age/sex breakdown of Google Trends data available. Survey respondents were not representative of the UK population and no pre-pandemic data were available.

CONCLUSION

Google Trends data do not appear to be a useful indicator of changing levels of population mental health during a public health emergency, but may have some value as an indicator of loneliness.

What can internet users' behaviours reveal about the mental health impacts of the COVID-19 pandemic? A systematic review

OBJECTIVES

At the end of 2019, an acute infectious pneumonia (coronavirus disease 2019 [COVID-19]) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began in Wuhan, China, and subsequently spread around the world starting a pandemic. Globally, to date, there have been >118 million confirmed cases, including >2 million deaths. In this context, it has been shown that the psychological impact of the pandemic is important and that it can be associated with an increase in internet searches related to fear, anxiety, depression, as well as protective behaviours, health knowledge and even maladaptive behaviours.

STUDY DESIGN

This is a systematic review.

METHODS

This review aims to collect, analyse and synthesise available evidence on novel data streams for surveillance purposes and/or their potential for capturing the public reaction to epidemic outbreaks, particularly focusing on mental health effects and emotions.

RESULTS

At the end of the screening process, 19 articles were included in this systematic review. Our results show that the COVID-19 pandemic had a great impact on internet searches for mental health of entire populations, which manifests itself in a significant increase of depressed, anxious and stressed internet users' emotions.

CONCLUSIONS

Novel data streams can support public health experts and policymakers in establishing priorities and setting up long-term strategies to mitigate symptoms and tackle mental health disorders.

Do University Students Adhere to WHO Guidelines on Proper Use of Face Masks during the COVID-19 Pandemic?—Analysis and Comparison of Medical and Non-Medical Students

Covering the mouth and nose has become the common standard for protection from human-to-human virus transmission during the COVID-19 pandemic. The aim of the study was to investigate whether students at universities (medical and non-medical students) do adhere to WHO recommendations on the proper use of face protection. The study was based on the survey created with Google® Forms regarding data on demographics and self-reported skin conditions. The main questions addressed the WHO guideline on the correct use of face masks. Responses were obtained from 1173 students. Compliance with all WHO criteria among the whole group of respondents was very low at less than 1% with no significant difference between medical and non-medical students. Covering of the nose and mouth with the face mask was the criterion most commonly complied with (81.2%); contact avoidance of touching the mask with hands appeared to be the most difficult criterion to comply with (2.8%). Medical students were significantly more compliant with three out of seven criteria. In general, compliance with the WHO guidelines on the proper use of face masks was dramatically low among all the students. Education campaigns should be introduced to increase the awareness of the correct use of face coverings during the viral pandemic.

Mental Health in the Era of the Second Wave of SARS-CoV-2: A Cross-Sectional Study Based on an Online Survey among Online Respondents in Poland

The main objective of this study was to assess mental health during the COVID-19 second wave. The study was conducted using a proprietary questionnaire that had been provided via the Internet to online respondents in Poland. The questionnaire questions included a socio-geographic assessment, proprietary questions assessing the respondents' current approach to the COVID-19 pandemic, as well as a standardised psychometric tool-GHQ-28. The study involved 2155 respondents, 99.8% of whom gave their consent for the participation in the study. A mean GHQ score was 29.25 ± 14.94 points. The criterion for minor mental disorders (≥24 points) was met by 1272 (59.2%) respondents. In overall interpretation as well as in each of GHQ-28 subscales, women obtained significantly higher scores than men (p < 0.001). The restriction on earning opportunities during the COVID-19 pandemic is significantly associated with the feeling of anxiety/insomnia severity among the respondents (9.96 vs. 8.82 points; p < 0.001). The COVID-19 pandemic, although it has already been experienced for nearly a year, has had a significant association with the general mental health of the respondents in Poland. There is a strong need to implement special programs that offer psychological support in the era of the COVID-19 pandemic, especially for those who had direct experience with COVID-19 infection.

How Does COVID-19 Affect the Neurobiology of Suicide?

PURPOSE OF REVIEW

The aim of this review was to analyze COVID-19 effect on the biological features of suicidal vulnerability and its interaction with suicide-related biological pathways. We carried out a narrative review of international publications on the interactions of COVID-19 with the biological bases of suicide.

RECENT FINDINGS

We hypothesize that SARS-CoV-2 interacts with multiple biological processes that underlie suicidal behavior, such as the renin-angiotensin system, nicotinic receptors, and central and systemic inflammation. Social distancing measures may also worsen subjective or objective social disconnection, thus increasing the risk of suicide. Interestingly, the drugs used to prevent suicide could be promising options to counteract brain damage caused by this coronavirus. SARS-CoV-2 interacts with multiple biological pathways involved in suicide and opens a new window for understanding the suicidal process. The development of suicide prevention treatments in the context of a pandemic may benefit from knowledge on these interactions.

The three frontlines against COVID-19: Brain, Behavior, and Immunity

The pandemic outbreak of coronavirus disease 2019 (COVID-19) is raising global anxiety and fear of both real and perceived health threat from the virus. Overwhelming evidence shows infected patients experiencing neuropsychiatric complications, suggesting that the "psychoneuroimmunity" model might be beneficial in understanding the impact of the virus. Therefore, this Special Issue on "Immunopsychiatry of COVID-19 Pandemic" was launched immediately after the pandemic was declared, with the first paper accepted on the March 25th, 2020. A total of ninety-three papers were accepted, the last one was on the July 10th, 2020 when the initial acute phase started declining. The papers of this Special Issue have illuminated the social impact, psychopathology, neurological manifestation, immunity responses, and potential treatments and prevention on COVID-19. For example, anxiety disorders, mood disorders, and suicidal ideation are most common psychiatric manifestations. COVID-19 infection can have central and/or peripheral nervous system symptoms, including headache, sleep disorders, encephalopathy, and loss of taste and smell. A "three-steps" Neuro-COVID infection model (neuro-invasion, clearance and immune response) was established. The current therapeutic interventions for COVID-19 include supportive intervention, immunomodulatory agents, antiviral therapy, and plasma transfusion. Psychological support should be implemented, improving the psychological wellbeing, as well as to enhance psychoneuroimmunity against COVID-19.

The Utilization of Protective Face Masks among Polish Healthcare Workers during COVID-19 Pandemic: Do We Pass the Exam?

Relevant personal protective measures during the COVID-19 pandemic include face masks, possibly decreasing the risk of infection among the general population and healthcare workers (HCW) if utilized properly. The aim of the study was to assess whether different Polish HCW utilize face masks according to the 2020 World Health Organization guidance (WHO) criteria. This cross-sectional study included 1156 respondents who participated in an internet survey evaluating mask-related behaviors. All the WHO criteria were complied with by 1.4% of participants, regardless of medical profession, specialty or place of employment. HCW mostly adhered to criterion 1 (C1; strict covering of the face and mouth with the mask; 90.8%), C4 (washing/disinfecting the hands after touching/taking off the mask; 49%) and C3 (taking off the mask properly without touching the anterior surface; 43.4%), whereas C2 (avoidance of touching the mask with hands) was complied with least commonly (6.8%). HCW with mask-induced itch (31.6%) complied to C2 less often (odds ratio 0.53; p = 0.01). The study reveals that Polish HCW rarely adhere to all the 2020 WHO guidance criteria on the use of masks, whereas the adherence to particular criteria is variable and may be associated with the presence of skin-related conditions and other factors. Better compliance with the recommendations in the future is necessary to increase personal safety of HCW and prevent the transmission of SARS-CoV-2.

Google search behaviour relating to perinatal mental wellbeing during the United Kingdom's first COVID-19 lockdown period: a warning for future restrictions

Infodemiological studies derive public health information from internet activity. Here we compare Google searches of perinatal mental health-related terms during the U.K.'s first COVID-19 lockdown with the corresponding period in 2019. We report evidence of reduced pathologising/recognition of perinatal mental illness; increased perceived maternal inadequacy and estrangement from newborn baby; increased maternal domestic abuse; and increased domestic and substance abuse generally. These insights offer important population-level considerations ahead of further U.K. restrictions, and should be imminently confirmed with epidemiological work.

Increased Prevalence of Face Mask-Induced Itch in Health Care Workers

BACKGROUND

Face mask use has increased significantly due to the COVID-19 pandemic. Health care workers (HCW) wear masks for prolonged periods and are prone to adverse effects. Very little is known about face-mask-associated itch.

METHODS

This Internet survey study investigated the prevalence, intensity and clinical characteristics of itch related to the use of face masks by HCW during the COVID-19 pandemic. The results were subsequently compared to the students' group.

RESULTS

A total of 1156 HCW completed the survey. Among them, 31.6% (365) reported suffering from itch associated with face mask use. Itch was more frequent among females. Moreover, subjects who reported sensitive skin, atopic predispositions and facial dermatoses tended to report itch more frequently. The worst case of itch in the seven days prior to the study, assessed with the numeric rating scale (NRS), was 4.6 ± 2.0 points. Itch prevalence increased along with the duration of face mask use, being 34.6% among those who wore masks for more than 4 h. HCW reported itch significantly more frequently than students.

CONCLUSIONS

Face-mask-associated itch is a frequent problem among HCW in the COVID-19 pandemic. Itch sensation may cause scratching, which may decrease necessary protection during the pandemic.

Prevalence of Depression, Anxiety, Distress and Insomnia and Related Factors in Healthcare Workers During COVID-19 Pandemic in Turkey

The purpose of this study was to evaluate the prevalence of depression, anxiety, distress, and insomnia and related factors in healthcare workers during the COVID-19 pandemic in Turkey. We applied the study survey online to HCWs during the pandemic in Turkey between 23 April and 23 May 2020. We used the sociodemographic data form, Patient Health Questionnaire-9, General Anxiety Disorder-7, Insomnia Severity Index, and Impact of Event Scale-Revised. Six hundred twenty (66.0%) of the 939 HCWs taking part in the study were female, 580 (61.8%) were physicians, 569 (60.6%) were working on the front line. Seven hundred twenty-nine (77.6%) participants exhibited depression, 565 (60.2%) anxiety, 473 (50.4%) insomnia, and 717 (76.4%) distress symptoms. Depression, anxiety, insomnia, and distress symptoms were significantly greater among females, individuals with a history of psychiatric illness, and individuals receiving psychiatric support during the COVID-19 pandemic. HCWs serving in Turkey during the COVID-19 pandemic experienced high levels of depression, anxiety, insomnia, and distress symptoms. Female gender, being a nurse, working on the front line, history of psychiatric illness, and being tested for COVID-19 were identified as risk factors for mental health problems.

Anomalous asthma and chronic obstructive pulmonary disease Google Trends patterns during the COVID-19 pandemic

Background

An increase in online searches on health topics may either mirror epidemiological changes or reflect media coverage. In the context of COVID-19, this is particularly relevant, as COVID-19 symptoms may be mistaken for those of respiratory disease exacerbations. Therefore, we aimed to assess Internet search patterns on asthma and chronic obstructive pulmonary disease (COPD) in the context of COVID-19, as compared to searches on other chronic diseases.

Methods

We retrieved Google Trends (GTs) data on two respiratory (asthma and COPD) and three non-respiratory (diabetes, hypertension, and Crohn’s disease) chronic diseases over the past 5 years (up to May 31, 2020). For 54 countries, and for each disease, we built autoregressive integrated moving average (ARIMA) models to predict GTs for 2020 based on 2015–2019 search patterns. In addition, we estimated the proportion of searches in which COVID-19-related terms were used. To assess the potential impact of media coverage on online searches, we assessed whether weekly “asthma” GTs correlated with the number of Google News items on asthma.

Results

Over the past 5 years, worldwide search volumes for asthma and COPD reached their maximum values in March 2020. Such was not observed for diabetes, hypertension and Crohn’s disease. In 38 (70%) countries, GTs on asthma were higher in March 2020 than the respective maximum predicted values. This compares to 19 countries for COPD, 23 for hypertension, 11 for Crohn’s disease, and 9 for diabetes. Queries with COVID-19-related terms represented up to 47.8% of the monthly searches on asthma, and up to 21.3% of COPD searches. In most of the assessed countries, moderate-strong correlations were observed between “asthma” GTs and the number of news items on asthma.

Conclusions

During March 2020, there was a peak in searches on asthma and COPD, which was probably mostly driven by media coverage, as suggested by their simultaneity in several countries with different epidemiological situations.

Association Between Generalized Anxiety Disorder Scores and Online Activity Among US Adults During the COVID-19 Pandemic: Cross-Sectional Analysis

BACKGROUND

Evidence from past pandemics suggests that fear, uncertainty, and loss of control during large-scale public health crises may lead to increased pandemic-related information seeking, particularly among persons predisposed to high anxiety. In such groups, a greater consumption of information pertaining to the COVID-19 pandemic may increase anxiety.

OBJECTIVE

In this study, we examine the association between online activity and Generalized Anxiety Disorder 7 (GAD-7) scores in the United States.

METHODS

We recruited participants for an online survey through advertisements on various platforms such as Google, Facebook, and Reddit. A total of 406 adult US participants with moderate to severe (≥10) GAD-7 scores met the inclusion criteria and completed the survey. Anxiety levels measured using the GAD-7 scale formed our primary outcome. Our key independent variables were average daily time spent online and average daily time spent online searching about COVID-19 within the past 14 days. We used as controls potential confounders of the relation between our key independent variables and GAD-7 scores, namely, sleep quality, the COVID-19 Fear Inventory scale, binge drinking, substance use, prescription drug abuse, and sociodemographic attributes.

RESULTS

Linear multivariate regression analyses showed that GAD-7 scores were higher among those who spent >4 hours online (per day) searching for information about COVID-19 (coefficient 1.29, P=.002), controlling for all other covariates. The total time spent online was not statistically associated with GAD-7 scores.

CONCLUSIONS

Results from this study indicate that limiting pandemic-related online information seeking may aid anxiety management in our study population.

Mental Health of Medical and Non-Medical Professionals during the Peak of the COVID-19 Pandemic: A Cross-Sectional Nationwide Study

Background: The study aimed to compare psychopathological expressions during the COVID-19 (novel coronavirus disease 2019) pandemic, as declared on March 11th 2020 by the World Health Organization, with respect to which institutional variables might distinguish the impact of COVID-19 in medical and non-medical professionals. Methods: A cross-sectional study was performed nationwide between 16th March and the 26th April 2020 in Poland. A total of 2039 respondents representing all healthcare providers (59.8%) as well as other professionals filled in the sociodemographic section, the General Health Questionnaire-28 and the author’s questionnaire with questions related to exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the availability of protective measures, quarantine, change of working hours and place of employment during the pandemic, as well as feelings associated with the state of the pandemic. Results: Medical professionals more often presented with relevant psychopathological symptoms (GHQ-28 (General Health Questionnaire-28) total score >24) than the non-medical group (60.8% vs. 48.0%, respectively) such as anxiety, insomnia and somatic symptoms even after adjustment for potential confounding factors. Male sex, older age and appropriate protective equipment were associated with significantly lower GHQ-28 total scores in medical professionals, whereas among non-medical professionals, male sex was associated with significantly lower GHQ-28 total scores. Conclusions: Somatic and anxiety symptoms as well as insomnia are more prevalent among medical staff than workers in other professions. Targeting the determinants of these differences should be included in interventions aimed at restoring psychological well-being in this specific population. Apparently, there are present gender differences in psychological responses that are independent of profession.