A bibliometric analysis of the knowledge related to mental health during and post COVID-19 pandemic

Objective: COVID-19 led to a horrific global pandemic, with strict lockdowns and prolonged indoor stays increasing the risk of mental health problems, affecting people of different ages, genders, regions, and types of work to varying degrees. This study provides a bibliometric summary of the knowledge map related to mental health during and post COVID-19 pandemic.

Methods: Publications related to mental health during and post COVID-19 pandemic were searched in the Web of Science Core Collection (WoSCC) database through March 19, 2024. After screening the search results, the literature included in the final was first quantitatively analyzed using GraphPad Prism software and then visualized using VOSviewer, CiteSpace, and R (the bibliometrix package).

Results: The 7,047 publications from 110 countries were included, with the highest number of publications from China and the United States, and the number of publications related to mental health during and post the COVID-19 pandemic increased annually until 2023, after which it began to decline. The major institutions were University of Toronto, University of London, Harvard University, King’s College London, University College London, University of California System, University of Melbourne, Institut National De La Sante Et De La Recherche Medicale (Inserm), Mcgill University, and University of Ottawa; Frontiers in Psychiatry had the highest number of publications, and the Journal of Affective Disorders had the highest number of co-citations; 36,486 authors included, with Xiang, Yu-Tao, Cheung, Teris, Chung, Seockhoon published the most papers, and World Health Organization, Kroenke K, and Wang CY were the most co-cited; epidemiologically relevant studies on mental health related to COVID-19, and the importance of mental health during normalized epidemic prevention and control are the main directions of this research area, especially focusing on children’s mental health; “pandemic,” “sars-cov-2,” “epidemic,” “depression,” “coronavirus anxiety,” “anxiety,” “longitudinal,” “child,” “coronavirus anxiety,” “longitudinal,” “child,” and “coronavirus” are the top keywords in recent years.

Conclusion: This comprehensive bibliometric study summarizes research trends and advances in mental health during and after the COVID-19 Pandemic. It serves as a reference for mental health research scholars during and after the COVID-19 pandemic, clarifying recent research preoccupations and topical directions.

1 Background

Coronavirus disease (COVID-19) is a contagious respiratory disease that World Health Organization declared to be an outbreak of a pandemic on 11 March 2020 (Van Doremalen et al., 2020; Zhu et al., 2020). Until March 10, 2023, the pandemic has had a catastrophic impact on health and mortality, with more than 670 million confirmed cases and 6.88 million deaths globally (Hopkins Johns Coronavirus Resource Center University, 2023; World Health Organization, 2023). In the initial 2 years of the pandemic, numerous countries implemented measures such as physical distancing, national blockades, and travel restrictions to control the spread of COVID-19 (Chtourou et al., 2020; National Health Commission of the People's Republic of China, 2023). The prolonged isolation, strict lockdowns, prolonged indoor stays, and the subsequent sequelae of the virus (Ercoli et al., 2021) (such as smell/taste disorders), all of which have been improved the risk of different forms of mental distress (de Lima et al., 2020; Pouso et al., 2021).

Psychosocial impacts follow each pathogen (Jones, 2020; Wang and Hong, 2020), SARS, smallpox, and hepatitis are classic examples of this dynamic, and the effects associated may not diminish over time (YuenMan, 2008), as is the case with COVID-19. Lockdown policies and other public health measures have been implemented to varying degrees around the world to prevent the spread of COVID-19 (Pierce et al., 2020; Turna et al., 2021), and continue to cause death and disability even after the World Health Organization has declared the end of the “emergency” phase (World Health Organization, 2020b), with varying degrees of impact across all age groups. Strict lockdowns and prolonged indoor stays increase the risk of depression, anxiety, and other mental health issues. The mental distress caused by the pandemic has affected people of different ages, genders, regions, and types of work to varying degrees. Studies have shown that young people have elevated levels of anxiety and depression and a significantly increased risk of suicide and self-harm (Holladay et al., 2022). Females are more severely affected than males, and individuals with pre-existing conditions are more likely to experience mental disorders (Özdin and Bayrak, 2020). Cluster analysis of symptoms in different regions showed that individuals in high-risk areas exhibited higher levels of anxiety and sleep disorders compared to low-risk areas (Wei et al., 2020). The global pandemic has had a significant impact on the mental health of workers across all sectors, with frontline health workers being particularly affected (World Socialist Web Site, 2020). According to studies conducted in China, approximately one-third of medical personnel experienced insomnia during this period, with severe insomnia rates reaching as high as 26.67% (Wu and Wei, 2020), and a psychological abnormality rate of 14.5% (Cai et al., 2020).

Bibliometrics allows the quantitative analysis of various knowledge carriers, and the measurement objects mainly include authors, keywords, journals, countries, institutions, references, etc., which allows the construction of knowledge maps (Wang et al., 2019; Ke et al., 2020). Commonly used bibliometric tools include CiteSpace (Synnestvedt et al., 2005), VOSviewer (Yeung et al., 2020), the R software (bibliometrix package) (Li et al., 2020), and HistCite (Lu et al., 2020). With the increase in COVID-related publications, several COVID-related bibliometric publications have been reported, such as COVID-19 with other diseases (Wei et al., 2022), mental retardation (Ying et al., 2022), suicidal behavior (Grover et al., 2021), depression disorders (Al-Jabi, 2021), and sleep disorders (Sun et al., 2024). Therefore, this study aimed to conduct a bibliometric analysis of publications related to Mental Health During and Post COVID-19 Pandemic, comprehensively and accurately capture the current state of development of the research topic, historical trends, and forecast future directions by analyzing key points.

2 Methods

2.1 Search strategy

Due to the limitations of bibliometric software Citespace and VOSviewer software, merging multiple databases (especially in Chinese and English) is impossible. At the same time, the Web of Science Core Collection (WoSCC) is an authoritative academic database covering relatively high-quality academic journals, which is a reliable source of data for conducting bibliometrics It is a reliable data source for bibliometric analysis. The WoSCC was used to search the related publications, retrieved until March 19, 2024, and the detailed search formula as follows: (“mental health” OR “mental illness” OR “mental illnesses” OR “mental disorder” OR “mental disorders” OR anxiety OR anxious OR depression OR depressive) AND (COVID-19 OR SARS-CoV-2 OR coronavirus OR 2019 nCoV). We restricted the publication types to “article” and “review.”

2.2 Data analysis

We performed a quantitative analysis of the number of publications using GraphPad 9.0.3 software; the publications retrieved from the database were visualized using VOSviewer (1.6.18), CiteSpace (6.1.R1), and R software (bibliometrix package, 3.2.1).

First, we quantitatively analyzed the annual number of publications and plotted bar charts using Graphpad 9.0.3 to obtain the overall research trends;

Then, VOSviewer software was used to visualize different measurement objects such as countries, institutions, journals, co-cited journals, authors, co-cited authors, and so on, to obtain the relationship between different measurement objects; each node represents a measurement object in the visual network map created by VOSviewer; while node sizes and colors denote the number and types of these items, respectively; the thickness of the lines between nodes reflects the strength of cooperation or co-citation between different measurement objects (Arruda et al., 2022; Shen et al., 2022);

Next, we plotted a dual-map overlay of journals using CiteSpace (version 6.1.R1) (developed by Prof. Chen C). This overlay reveals the overall flow relationship between journal cites and cited, as well as identifying the top 10 references with strong citation bursts using CiteSpace (Chen et al., 2012);

Finally, we used the R package (bibliometrix, version 3.2.1)¹ to draw Trending Topics and Tree maps for future research direction prediction (Aria and Cuccurullo, 2017);

The journal partitions and impact factors used in this study were obtained from the Journal Citation Report 2020.

3 Results

3.1 Quantitative analysis of publication

A total of 7,047 related publications were included including 6,548 ARTICLES and 499 REVIEWS (Figure 1). Based on the annual number of publications, we divided the entire period into two phases (Figure 2), the first phase (2020–2022), COVID-19 exploded since the end of 2019, the earliest related publications were seen in 2020, and then increased year by year, and 2022 possessed the highest amount of publications per year, with a total of 2,409 associated publications; In the second phase (2023–2024), the overall annual publications decreased year by year since 2023; due to the impact of normalized outbreak prevention and control, we predict that the number of publications in 2024 will continue to be lower than that in 2023.

Figure 1

Figure 1. Literature screening flowchart for web of science core collection (WoSCC).

Figure 2

Figure 2. Annual research results on mental health during and post COVID-19 pandemic.

3.2 Country and institutional analysis

These publications came from 110 countries and 5,571 institutions; the top 10 countries were distributed among China, the United States, the United Kingdom, Canada, Italy, Turkey, Australia, Korea, Spain, and Germany, with a significant concentration in China and the United States (Table 1), and with China (1,199, 17.01%) and the United States (n = 1,003, 14.23%) accounted for almost 1/3 of the total number of publications; we filtered the countries with a several of publications greater than or equal to 15 and created a visualization network (Figure 3), and we found that there was more active cooperation between different countries, such as China, the United States, Canada and the United Kingdom, etc. (Figure 3).

Table 1

Table 1. Top 10 countries and institutions on research of mental health during and post COVID-19 pandemic.

Figure 3

Figure 3. The country cooperation map (A) and visualization (B) on mental health during and post COVID-19 pandemic.

The top 10 institutions in terms of publications are located in 5 countries, with 3 from the United Kingdom and 3 from Canada, respectively University of Toronto, University of London, Harvard University, King’s College London, University College London, University of California System, University of Melbourne, Institut National De La Sante Et De La Recherche Medicale (Inserm), Mcgill University, University of Ottawa. Next, we visualized institutions with a minimum publication count of 15 (Figure 4), and studies were mainly focused on University of Toronto, King’s College London, University of Melbourne, Harvard University, Sichuan University, with more active collaboration within each center and a more even distribution overall.

Figure 4

Figure 4. The visualization of institution on mental health during and post COVID-19 pandemic.

3.3 Journals and co-cited journals

These studies were published in 992 journals, with Frontiers in Psychiatry publishing the most significant number of publications (n = 481, 6.83%), followed by Frontiers in Public Health (n = 325, 4.61%), PLoS One (n = 285, 4.04%), Journal of Affective Disorders (n = 252, 3.58%), and Psychiatry Research (n = 135, 1.92%). Among the top 15 journals with the most engaged publications, the journals with the highest impact factor referring to the impact factor published by WOS 2022 were Psychiatry Research (IF = 11.3), Journal of Affective Disorders (IF = 6.6), and BJPsych Open (n = 5.4) (Table 2), Frontiers in Public Health (IF = 5.2) and Journal of Psychiatric Research (IF = 4.8). Subsequently, we visualized the 175 journals with a several of publications greater than or equal to 5 (Figure 5A). Figure 5A shows Frontiers in Psychiatry has active citation relationships with journals such as Psychiatry Research, BMC Psychiatry, and Heliyon.

Table 2

Table 2. Top 15 journals and co-cited journals for research on mental health during and post COVID-19 pandemic.

Figure 5

Figure 5. The visualization of journals (A) and co-cited journals (B) on mental health during and post COVID-19 pandemic.

Among the top 10 journals with the highest co-citation frequency had more than 2,000 co-citations (Table 2), and the most cited journal was Journal of Affective Disorders (co-citation = 7,576), followed by Psychiatry Research (co-citation = 6,790), PLoS One (total citations = 5,568), Lancet Psychiatry (total citations = 5,149), and Lancet (total citations = 4,837). In addition, the highest impact factor was found in Lancet (IF = 168.9), followed by JAMA-Journal of The American Medical Association (IF = 120.7), BMJ-British Medical Journal (IF = 105.7), Lancet Psychiatry (IF = 64.3) and Brain Behavior and Immunity (IF = 15.1). The 244 journals with a minimum number of co-citations more than 500 were screened to map the co-citation network (Figure 5B), Journal of Affective Disorders with Psychiatry Research, Frontiers in Psychiatry, Brain Behavior and Immunity, Frontiers in Psychology, etc. had a positive co-citation relationship. The dual-map overlay is showing the citation relationship between journals and co-cited journals. As shown in Figure 6, the green route is the primary citation route, which represents that the research results published in “2. MEDICINE/MEDICAL/CLINICAL” journals are mainly cited by “7. PSYCHOLOGY/EDUCATION/SOCIAL,” “5. HEALTH/NURSING/MEDICINE” and “8. MOLECULAR/BIOLOGY/GENETIC.”

Figure 6

Figure 6. The dual-map overlay of journals on research mental health during and post COVID-19 pandemic.

3.4 Authors and co-cited authors

A total of 36,486 authors participated in the study on mental health during and after the COVID-19 pandemic. When the authors were sorted by number of publications, the lowest number of publications among the top 10 authors was 16. We constructed a collaborative network map for the 137 authors with more than 8 publications (Figure 7A), and We found that Xiang Yu-Tao has the most significant node because he has the most publications, followed by Cheung Teris, Chung Seockhoon, Su Zhaohui, and NG Chee H. In addition, we have observed collaboration between multiple authors nearby. For example, Xiang Yu-Tao worked closely with Cheung Teris, Li Wen, and Su Zhaohui; Chung Seockhoon worked closely with Wang Ying, Ho Roger, and others, and Fancourt Daisy worked closely with Shi Li, Steptoe Andrew, and others. Seventy-six authors had more than 200 co-citations (Table 3), with the highest number being World Health Organization (n = 2,436), followed by Kroenke K (n = 1,678) and Wang CY (n = 1,618). We plotted the co-citation network map for the 234 authors with co-citations of more than 100 (Figure 7B), and we found that co-citations were frequent among different authors, such as World Health Organization with Wang CY, Brooks SK, etc.

Figure 7

Figure 7. The visualization of authors (A) and co-cited authors (B) on research of mental health during and post COVID-19 pandemic.

Table 3

Table 3. Top 10 authors and co-cited authors on research of mental health during and post COVID-19 pandemic.

3.5 Co-cited references

Four hundred and six references have a co-citation frequency more significant than 50, and the minor co-citation frequency among the top 10 references is 49 (Table 4). We visualized the 406 references with a co-citation frequency more significant than 50 (Figure 8). We found that “Spitzer RL, 2006, Arch intern med” and “Wang CY, 2020, Int J Env Res Pub He” and “Brooks SK, 2020, Lancet” are more likely to be cited simultaneously.

Table 4

Table 4. Top 10 co-cited references on research of mental health during and post COVID-19 pandemic.

Figure 8

Figure 8. The visualization of co-cited references on research of mental health during and post COVID-19 pandemic.

3.6 Reference with citation bursts

CiteSpace was used to identify 10 intense citation bursts (Figure 9), references that suddenly gained many number of citations in a given period, creating a significant peak in citation growth, with the years of substantial citations shown in red. The earliest reference with a considerable peak in citation growth was in 2021, and these bursts lasted about 2 years. The reference burst with the highest strength was “Magson NR, 2021, J YOUTH ADOLESCENCE, V50, P44, DOI 10.1007/s10964-020-01332-9” (Strength = 22.78), published by Magson NR et al. in J YOUTH ADOLESCENCE. The second was “Fancourt D, 2021, LANCET PSYCHIAT, V8, P141, DOI 10.1016/S2215-0366(20)30482-X, DOI” (Strength = 21.04), published by Fancourt D et al. In LANCET PSYCHIAT. The third was “Jeong H, 2016, EPIDEMIOL HEALTH, V38, P0” (Strength = 19.09), published by Jeong H et al. in EPIDEMIOL HEALTH. These 10 references have a burst strength range of 13.85–22.78 and a persistent strength of 1–2 years.

Figure 9

Figure 9. Top 10 references with strong citation bursts.

3.7 Hotspots and Frontiers

The co-occurrence relationship between keywords can show research hotspots, development trends, and the degree of correlation between different topics. The top 20 keywords with the highest frequency all appeared more than 130 times (Table 5), and we visualized the keywords with more than 10 times (Figure 10). Based on the different colors of the nodes, we can classify them into three clusters, representing three research directions, which are clusters of epidemiology-related keywords such as COVID-19, pandemic, and covid-19 pandemic; mental health-related keywords such as mental health, anxiety, depression; and keyword clusters related to subjects such as workers, young adults, and adolescents.

Table 5

Table 5. Top 20 keywords on research of mental health during and post COVID-19 pandemic.

Figure 10

Figure 10. Keyword cluster analysis (A) and trend topic analysis (B) on research of mental health during and post COVID-19 pandemic.

The R software (bibliometrix package, 3.2.1) analyzed the keywords and Treemap to show the trend themes (Figure 11), the relevant research started in 2020, and this period was mainly dominated by the keywords of pandemic, sars-cov-2, coronavirus, epidemiology, indicating that the relevant research was primarily focused on epidemiology-related research. After that, the keywords gradually focused on depression, coronavirus anxiety, anxiety, longitudinal and so on, indicating that the research direction gradually opened to focus on the mental state of COVID-19 patients, which includes the importance of mental health in the longitudinal period. In addition, the keywords longitudinal, child, and coronavirus anxiety appeared frequently in the past 2 years, so they probably represent the current hotspots of Mental Health During and Post COVID-19 Pandemic research.

Figure 11

Figure 11. Keywords tree map of mental health during and post COVID-19 pandemic.

4 Discussion

Mental health during and post COVID-19 pandemic has been an interesting topic over the past 5 years. Our study shows a growing body of literature on mental health during and post COVID-19 Pandemic, indicating this research’s growing popularity and importance. 7,047 publications related to Mental Health During and Post COVID-19 Pandemic were retrieved from the Web of Science database. The relevant publications were first seen in 2020 and finally increased year by year, with 2022 having the highest annual publications with 2,409 relevant publications. The overall yearly publications declined each year from 2023 onwards. The neocoronavirus pandemic sparked worldwide attention after the outbreak in early 2020, prompting many scientists and researchers to devote themselves to neocoronavirus-related research. At the pandemic’s beginning, the scientific community was highly active in research on neo-coronaviruses. As a result, a large number of research results may have been accumulated in 2020 and 2021, which may be published one after another in 2022, leading to a peak in the number of annual publications in addition to rapidly disseminating the results of the research on neo-coronaviruses, some academic journals may have taken measures to accelerate the review of manuscripts and publications, which also contributed to an increase in the number of annual publication volume in 2022. As time passes, the number of publications on coronaviruses decreases in 2023 and beyond; as the outbreak is controlled, knowledge of new coronaviruses increases, and concern about the outbreak fades.

China and the United States are the leading countries researching Mental Health During and Post COVID-19 Pandemic, with China ranking first. Among the top 10 research institutions, 30% were from the United Kingdom and 30% were from Canada, which tied for first place, and we noticed that there were more active collaborations among China, the USA, and the United Kingdom; regarding research institutions the University of Toronto, King’s College London, University of Melbourne, Harvard University and Sichuan University. Some countries have high rankings regarding the number of publications but have less cooperation. Therefore, we strongly recommend that there should be more in-depth cooperation between different institutions to promote the progress of Mental Health During jointly and Post COVID-19 Pandemic research.

Most of the findings related to Mental Health During and Post COVID-19 Pandemic have been published in journals under the broad category of PSYCHIATRY, indicating that this type of journals are the hottest journals. The top 15 journals are all in the Q1 and Q2 categories. The results for the co-cited journals were similar, and all of these journals also belonged to the broad categories of Q1 and Q2, these journals provide reliable evidence to support the Mental Health During and Post COVID-19 Pandemic study. Authors Xiang Yu-Tao, Cheung Teris, and Chung Seockhoon published most significant number of Mental Health During and Post COVID-19 Pandemic studies. The 10 most co-cited frequency references were selected, and these studies were focused on the year 2020, which provides the basis for subsequent analyses. References with citation bursts that suddenly gained a large number of citations in a given period, creating a significant peak in citation growth, focused on the aggregation of clinical evidence on Mental Health conditions across countries and subject types, as well as literature reviews. The results of co-occurrence relationship between keywords show that the Mental Health During and Post COVID-19 Pandemic research hotspots are mainly focused on Mental Health-related epidemiological studies and cohort studies, given that the persistence of the long COVID-19 will still need to be thoroughly explored. Keyword trends and topic results for the last 2 years showed that the frequency of longitudinal, child, and coronavirus anxiety was high, suggesting that child-related Mental Health issues need to be emphasized.

For the impact of the COVID-19 pandemic on mental health, national and international longitudinal studies and meta-analyses have shown a significant increase in psychological symptoms such as depression and anxiety (Prati and Mancini, 2021; Zhao et al., 2022). Despite differences in the prevalence and response to COVID-19 across countries, the early period of the 2020 pandemic in general showed a deterioration in overall mental health, a trend validated in international studies such as those by Findlay et al. (2020) in Canada, Fitzpatrick et al. (2020) in the United States, and Pierce et al. (2020) in the UK as shown in their studies. However, particular attention needs to be paid to the differences in the impact on countries at different income levels during a pandemic, and the mental health impact of COVID-19 might be more severe in low-and middle-income countries (Castro-de-Araujo and Machado, 2020), which may be related to inadequate health systems, poor preparedness, and economic instability in these countries. Demographic and socioeconomic characteristics have also been identified as risk factors for poor mental health outcomes. Although younger age groups face greater mental health risks at all times (i.e., outside of pandemic conditions), their mental health deterioration during COVID-19 appears to be more severe than that of older age groups (Biddle et al., 2024). This may be because age is associated with mental health risk factors and these may be exacerbated during a pandemic, such as instability in employment and financial status (Verick, 2009; Statistics ABo, 2021). Thus, although young people are relatively physically healthy, their mental health appears to be disproportionately affected (World Health Organization, 2020a). Another important risk factor identified is pre-existing mental health problems. For example, Galletly (2020) noted that a pandemic would be a difficult time for patients with chronic mental illness. Studies have shown that individuals with prior mental health diagnoses have poorer mental health during a pandemic.

Different trends have been shown for the impact of the COVID-19 pandemic on the psychological status and mental health of various populations (Zeverdegani, 2022). First, healthcare workers usually contract the disease through exposure to COVID-19-infected individuals, and a large number of studies have shown that the COVID-19 pandemic has increased mental health problems among healthcare workers (Rana et al., 2020). Studies of physicians have also demonstrated higher levels of depression, anxiety, and stress during the COVID-19 pandemic (Elbay et al., 2020); through surveys of nurses, depression, anxiety, and stress among nurses were at moderate levels during the COVID-19 pandemic (Abadi et al., 2020); and evaluations of medical students have shown that during the COVID-19 pandemic, the mild to severe anxiety and depression prevalence was high (Nakhostin-Ansari et al., 2020); and medical staff may face problems such as decreased sleep quality, which may exacerbate their psychological stress (Xiao et al., 2020). In similar pandemic scenarios, patients may have significant concerns, and studies on COVID-19 patients have shown some related psychological problems, with an increased prevalence of depression among COVID-19 patients (Zandifar and Badrfam, 2020; Zhang et al., 2020), and some emotional states, such as fear and anxiety, becoming the main effects faced by COVID-19 patients [6]. The results of epidemiologic studies in India have shown that a significant proportion of the general public suffered from moderate to very severe depression, anxiety and stress during the COVID-19 pandemic (Verma and Mishra, 2020; Rehman et al., 2021). During the COVID-19 pandemic, people had an increased prevalence of anxiety disorders (Huang and Zhao, 2020), and anxious people often have difficulty falling asleep. They may wake up frequently during the night (Xiao et al., 2020), which may affect the quality of sleep during the pandemic and proximally further exacerbate mental health conditions (Mo et al., 2020).

The COVID-19-associated increased risk of neuropsychiatric disorders was most pronounced during the first peak of the pandemic and decreased over the following 2 years (Taquet et al., 2021; Magnúsdóttir et al., 2022). As mentioned earlier, there are many reasons that can lead to COVID-19 mental health disorders, such as fear of death, stress of contracting a new pandemic disease, isolation and lack of social support, fear/guilt of transmitting COVID-19 to the family or community, and socio-economic hardship due to loss of wages (Zhang et al., 2022). COVID-19-associated neuropsychiatric disorders, such as fatigue, sleep disorders, and cognitive deficits commonly referred to by patients and clinicians as “brain fog,” manifest themselves differently in populations with varying degrees of infection severity, and also increase the risk of anxiety and depression to varying degrees (Dantzer et al., 2008). In reviewing the current literature, studies of autopsy specimens from patients who died of acute COVID-19 have shown severe hypoxic injury and neuroinflammatory neuropathologic manifestations in the brain, such as blood–brain barrier permeability accompanied by fibrinogen extravasation, microglia activation, and astrocyte hyperplasia (Cosentino et al., 2021; Thakur et al., 2021); And neuroimaging studies in acute COVID-19 patients have shown microstructural and functional changes in the hippocampus, a brain region critical to memory formation and the regulation of anxiety, emotion, and stress responses, which may explain a deeper level of mental health disorders in COVID-19 patients (Lu et al., 2020; Qin et al., 2021); Whereas, neuroimaging studies of the brains of patients after COVID-19 rehabilitation showed many changes in brain structure, such as a slight decrease in gray matter thickness in various regions of the cortex and the glia, diffuse edema, an increase in regional tissue damage markers related to olfactory cortex function, and a decrease in overall brain size (Tian et al., 2022), suggesting that the effects of COVID-19 on the patients’ long-term mental health effects after recovery cannot be ignored.

Overall, the impact of COVID is not limited to the duration of the epidemic, but may continue to affect people’s mental health for years or even longer. Mental health is equally as important as physical health, and we should pay particular attention and intervene early for those at the highest risk (Penninx et al., 2022). In future research, it is crucial to prioritize the following areas: (1) investigating the enduring effects of the pandemic on mental health over a longer period; (2) implementing early detection and prevention strategies for mental health problems in the aftermath of the pandemic, with a particular focus on children and adolescents. (3) facilitating the reintegration of individuals into society during the post-pandemic period. The specific aspects to be addressed are as follows: Most current research focuses primarily on the acute and short-term effects of pandemics on mental health, usually spanning a few months to a year of pandemic impact. However, longer follow-up of how pandemics affect population mental health and the impact on population mental health after a pandemic is also a focus for future research, with particular attention to the long-term effects on young people, as our study also confirms this. With mental health issues being particularly prominent, we need to take a series of measures to meet these challenges. First, providing mental health education is crucial. People need to understand the emotional reactions they may face and how to recognize and deal with them. Through education, people can better understand their mental health needs and know how to seek help when needed. Secondly, it is also crucial to build and strengthen social support systems. Establishing close ties with family, friends, and community can provide emotional support and comfort during tough times. Social support not only reduces an individual’s psychological stress, but also strengthens people’s resilience and helps them cope better with challenges. It is also essential to provide easily accessible mental health services, such as online mental health counseling services, mental health hotlines, and help from mental health professionals. In addition, advocating and supporting a healthy lifestyle is an essential strategy for dealing with mental health issues. Regular exercise, traditional Chinese Kung Fu (Baduanjin, Taiji, etc.), traditional Chinese medicine (acupuncture, moxibustion, tuina, etc.), yoga, music therapy, as well as a healthy diet and good sleeping habits can all help to alleviate anxiety and depression, and improve people’s mental health. Furthermore, the mental health needs of specific groups of people should be emphasized and attended to. For example, the medical and nursing staff, those who were unemployed or suffered pay cuts during the epidemic, the lonely older adults, and those with a history of mental illness may need exceptional support and attention.

Compared with similar previous studies (Chen et al., 2021), our study focused not only on mental health issues during the COVID-19 epidemic, but also on the long-term effects of the pandemic after its end, and this holistic perspective may have provided more profound insights into the evolution of mental health during and after the outbreak; in addition, we used a more comprehensive literature search strategy and analyzed more relevant publications, thereby minimizing publication selection bias, all of which may have increased the credibility and accuracy of the study. But there are still some limitations in this study, we only searched one database, Web of Science Core Collection (WoSCC), mainly because of the limitation of the bibliometric software Citespace and VOSviewer software, which can not merge multiple databases at the moment (especially in Chinese and English), and the quality of the publications in WoSCC is relatively high, and this database is a better representative choice. However, we have to recognize that ignoring other databases and non-English writing publications may result in some of the relevant publications being missed, there may be a potential bias.

5 Conclusion

We comprehensively analyzed 7,047 relevant publications, to identify the multidimensional aspects and scientific landscape related to mental health during and after the COVID-19 pandemic. This analysis contributes significantly to mental health research, particularly in guiding research directions and advancing knowledge post-pandemic. On the one hand, despite a reduction in the number of relevant studies in recent years, research on mental health during and after the COVID-19 pandemic remains of paramount importance, especially post-pandemic. On the other hand, given that mental health disorders may persist in the long term and the lingering effects of COVID-19 sequelae, it is crucial to pay special attention to specific populations, especially the mental health needs of children. Researchers in this field can use research findings to deepen understanding of post-COVID-19 mental health, identify appropriate research partners and sponsors, and gain insight into the latest relevant research findings that can guide future studies.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

LW: Conceptualization, Data curation, Funding acquisition, Writing – original draft, Writing – review & editing. LY: Software, Visualization, Writing – original draft. YJ: Software, Visualization, Writing – original draft. XP: Software, Visualization, Writing – original draft. XW: Conceptualization, Methodology, Software, Supervision, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the General Research Project of Zhejiang Provincial Department of Education (No. Y202043652).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

1. ^ https://www.bibliometrix.org

References

Abadi, T. S. H., Askari, M., Miri, K., and Nia, M. N. (2020). Depression, stress and anxiety of nurses in COVID-19 pandemic in Nohe-Dey Hospital in Torbat-e-Heydariyeh city, Iran. J. Military Med. 22, 526–533. doi: 10.30491/JMM.22.6.526

Crossref Full Text | Google Scholar

Al-Jabi, S. W. (2021). Current global research landscape on COVID-19 and depressive disorders: bibliometric and visualization analysis. World J. Psychiatry 11, 253–264. doi: 10.5498/wjp.v11.i6.253

PubMed Abstract | Crossref Full Text | Google Scholar

Aria, M., and Cuccurullo, C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. J. Informet. 11, 959–975. doi: 10.1016/j.joi.2017.08.007

Crossref Full Text | Google Scholar

Arruda, H., Silva, E. R., Lessa, M., Proença, D. Jr., and Bartholo, R. (2022). VOSviewer and bibliometrix. J. Med. Library Assoc. 110, 392–395. doi: 10.5195/jmla.2022.1434

PubMed Abstract | Crossref Full Text | Google Scholar

Biddle, N., Edwards, B., Gray, M., and Sollis, K. (2024). Mental health and relationships during the COVID-19 pandemic. ANU Centre Soc. Res. 2020:22.

Google Scholar

Cai, W., Lian, B., Song, X., Hou, T., Deng, G., and Li, H. (2020). A cross-sectional study on mental health among health care workers during the outbreak of Corona virus disease 2019. Asian J. Psychiatr. 51:102111. doi: 10.1016/j.ajp.2020.102111

PubMed Abstract | Crossref Full Text | Google Scholar

Castro-de-Araujo, L. F. S., and Machado, D. B. (2020). Impact of COVID-19 on mental health in a low and middle-income country. Ciênc. Saúde Colet. 25, 2457–2460. doi: 10.1590/1413-81232020256.1.10932020

Crossref Full Text | Google Scholar

Chen, C., Hu, Z., Liu, S., and Tseng, H. (2012). Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace. Expert. Opin. Biol. Ther. 12, 593–608. doi: 10.1517/14712598.2012.674507

Crossref Full Text | Google Scholar

Chen, Y., Zhang, X., Chen, S., Zhang, Y., Wang, Y., Lu, Q., et al. (2021). Bibliometric analysis of mental health during the COVID-19 pandemic. Asian J. Psychiatr. 65:102846. doi: 10.1016/j.ajp.2021.102846

PubMed Abstract | Crossref Full Text | Google Scholar

Chtourou, H., Trabelsi, K., Hmida, C., Boukhris, O., Glenn, J. M., Brach, M., et al. (2020). Staying physically active during the quarantine and self-isolation period for controlling and mitigating the COVID-19 pandemic: a systematic overview of the literature. Front. Psychol. 11:1708. doi: 10.3389/fpsyg.2020.01708

PubMed Abstract | Crossref Full Text | Google Scholar

Cosentino, G., Todisco, M., Hota, N., Della Porta, G., Morbini, P., Tassorelli, C., et al. (2021). Neuropathological findings from COVID-19 patients with neurological symptoms argue against a direct brain invasion of SARS-CoV-2: a critical systematic review. Eur. J. Neurol. 28, 3856–3865. doi: 10.1111/ene.15045

Crossref Full Text | Google Scholar

Dantzer, R., O'connor, J. C., Freund, G. G., Johnson, R. W., and Kelley, K. W. (2008). From inflammation to sickness and depression: when the immune system subjugates the brain. Nat. Rev. Neurosci. 9, 46–56. doi: 10.1038/nrn2297

PubMed Abstract | Crossref Full Text | Google Scholar

de Lima, C. V. C., Cândido, E. L., da Silva, J. A., Albuquerque, L. V., de Menezes, S. L., do Nascimento, M. M., et al. (2020). Effects of quarantine on mental health of populations affected by Covid-19. J. Affect. Disord. 275, 253–254. doi: 10.1016/j.jad.2020.06.063

PubMed Abstract | Crossref Full Text | Google Scholar

Elbay, R. Y., Kurtulmuş, A., Arpacıoğlu, S., and Karadere, E. (2020). Depression, anxiety, stress levels of physicians and associated factors in COVID-19 pandemics. Psychiatry Res. 290:113130. doi: 10.1016/j.psychres.2020.113130

PubMed Abstract | Crossref Full Text | Google Scholar

Ercoli, T., Masala, C., Pinna, I., Orofino, G., Solla, P., Rocchi, L., et al. (2021). Qualitative smell/taste disorders as sequelae of acute COVID-19. Neurol. Sci. 42, 4921–4926. doi: 10.1007/s10072-021-05611-6

PubMed Abstract | Crossref Full Text | Google Scholar

Findlay, L. C., Arim, R., and Kohen, D. (2020). Understanding the perceived mental health of Canadians during the COVID-19 pandemic. Health Rep. 31, 22–27. doi: 10.25318/82-003-x202000400003-eng

Crossref Full Text | Google Scholar

Fitzpatrick, K. M., Harris, C., and Drawve, G. (2020). Fear of COVID-19 and the mental health consequences in America. Psychol. Trauma Theory Res. Pract. Policy 12, S17–S21. doi: 10.1037/tra0000924

Crossref Full Text | Google Scholar

Galletly, C. (2020). Psychiatry in the COVID-19 era, vol. 54. London, England: SAGE Publications Sage UK, 447–448.

Google Scholar

Grover, S., Gupta, B., and Mamdapur, G. M. (2021). COVID-19 and suicidal behavior: a bibliometric assessment. Asian J. Psychiatr. 65:102817. doi: 10.1016/j.ajp.2021.102817

PubMed Abstract | Crossref Full Text | Google Scholar

Holladay, K., Lardier, D., Amorim, F. T., Zuhl, M., and Coakley, K. E. (2022). Practicing COVID-19 public health measures is associated with anxiety and depression in undergraduate university students. Front. Public Health 2022:941730. doi: 10.3389/fpubh.2022.941730

Crossref Full Text | Google Scholar

Hopkins Johns Coronavirus Resource Center University (2023). COVID-19 Dash board by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins. Available at: https://coronavirus.jhu.edu/map.html (Accessed March 1, 2024)

Google Scholar

Huang, Y., and Zhao, N. (2020). Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey. Psychiatry Res. 288:112954. doi: 10.1016/j.psychres.2020.112954

PubMed Abstract | Crossref Full Text | Google Scholar

Jones, D. S. (2020). History in a crisis—lessons for Covid-19. N. Engl. J. Med. 382, 1681–1683. doi: 10.1056/NEJMp2004361

PubMed Abstract | Crossref Full Text | Google Scholar

Ke, L., Lu, C., Shen, R., Lu, T., Ma, B., and Hua, Y. (2020). Knowledge mapping of drug-induced liver injury: a Scientometric investigation (2010-2019). Front. Pharmacol. 11:842. doi: 10.3389/fphar.2020.00842

PubMed Abstract | Crossref Full Text | Google Scholar

Li, C., Ojeda-Thies, C., Renz, N., Margaryan, D., Perka, C., and Trampuz, A. (2020). The global state of clinical research and trends in periprosthetic joint infection: a bibliometric analysis. Int. J. Infect. Diseases 96, 696–709. doi: 10.1016/j.ijid.2020.05.014

Crossref Full Text | Google Scholar

Lu, Y., Li, X., Geng, D., Mei, N., Wu, P.-Y., Huang, C.-C., et al. (2020). Cerebral micro-structural changes in COVID-19 patients–an MRI-based 3-month follow-up study. EClinicalMedicine. :25. doi: 10.1016/j.eclinm.2020.100484

Crossref Full Text | Google Scholar

Lu, C., Liu, M., Shang, W., Yuan, Y., Li, M., Deng, X., et al. (2020). Knowledge mapping of Angelica sinensis (Oliv.) Diels (Danggui) research: a Scientometric study. Front. Pharmacol. 11:294. doi: 10.3389/fphar.2020.00294

PubMed Abstract | Crossref Full Text | Google Scholar

Magnúsdóttir, I., Lovik, A., Unnarsdóttir, A. B., McCartney, D., Ask, H., Kõiv, K., et al. (2022). Acute COVID-19 severity and mental health morbidity trajectories in patient populations of six nations: an observational study. Lancet Public Health 7, e406–e416. doi: 10.1016/S2468-2667(22)00042-1

PubMed Abstract | Crossref Full Text | Google Scholar

Mo, Y., Deng, L., Zhang, L., Lang, Q., Liao, C., Wang, N., et al. (2020). Work stress among Chinese nurses to support Wuhan in fighting against COVID-19 epidemic. J. Nurs. Manag. 28, 1002–1009. doi: 10.1111/jonm.13014

PubMed Abstract | Crossref Full Text | Google Scholar

Nakhostin-Ansari, A., Sherafati, A., Aghajani, F., Khonji, M. S., Aghajani, R., and Shahmansouri, N. (2020). Depression and anxiety among Iranian medical students during COVID-19 pandemic. Iran. J. Psychiatry 15, 228–235. doi: 10.18502/ijps.v15i3.3815

PubMed Abstract | Crossref Full Text | Google Scholar

National Health Commission of the People's Republic of China (2023). Notice on the Publication of the Prevention and Control Program for Novel Coronavirus Infections (10th Edition). Available from: http://www.nhc.gov.cn/xcs/zhengcwj/202301/bdc1ff75feb94934ae1dade176d30936.shtml (Accessed March 1, 2024)

Google Scholar

Özdin, S., and Bayrak, Ö. Ş. (2020). Levels and predictors of anxiety, depression and health anxiety during COVID-19 pandemic in Turkish society: the importance of gender. Int. J. Soc. Psychiatry 66, 504–511. doi: 10.1177/0020764020927051

PubMed Abstract | Crossref Full Text | Google Scholar

Penninx, B. W., Benros, M. E., Klein, R. S., and Vinkers, C. H. (2022). How COVID-19 shaped mental health: from infection to pandemic effects. Nat. Med. 28, 2027–2037. doi: 10.1038/s41591-022-02028-2

PubMed Abstract | Crossref Full Text | Google Scholar

Pierce, M., Hope, H., Ford, T., Hatch, S., Hotopf, M., John, A., et al. (2020). Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. Lancet Psychiatry 7, 883–892. doi: 10.1016/S2215-0366(20)30308-4

PubMed Abstract | Crossref Full Text | Google Scholar

Pouso, S., Borja, Á., Fleming, L. E., Gómez-Baggethun, E., White, M. P., and Uyarra, M. C. (2021). Contact with blue-green spaces during the COVID-19 pandemic lockdown beneficial for mental health. Sci. Total Environ. 756:143984. doi: 10.1016/j.scitotenv.2020.143984

PubMed Abstract | Crossref Full Text | Google Scholar

Prati, G., and Mancini, A. D. (2021). The psychological impact of COVID-19 pandemic lockdowns: a review and meta-analysis of longitudinal studies and natural experiments. Psychol. Med. 51, 201–211. doi: 10.1017/S0033291721000015

PubMed Abstract | Crossref Full Text | Google Scholar

Qin, Y., Wu, J., Chen, T., Li, J., Zhang, G., Wu, D., et al. (2021). Long-term microstructure and cerebral blood flow changes in patients recovered from COVID-19 without neurological manifestations. J. Clin. Invest. 131:e147329. doi: 10.1172/JCI147329

Crossref Full Text | Google Scholar

Rana, W., Mukhtar, S., and Mukhtar, S. (2020). Mental health of medical workers in Pakistan during the pandemic COVID-19 outbreak. Asian J. Psychiatr. 51:102080. doi: 10.1016/j.ajp.2020.102080

PubMed Abstract | Crossref Full Text | Google Scholar

Rehman, U., Shahnawaz, M. G., Khan, N. H., Kharshiing, K. D., Khursheed, M., Gupta, K., et al. (2021). Depression, anxiety and stress among Indians in times of Covid-19 lockdown. Community Ment. Health J. 57, 42–48. doi: 10.1007/s10597-020-00664-x

PubMed Abstract | Crossref Full Text | Google Scholar

Shen, J., Shen, H., Ke, L., Chen, J., Dang, X., Liu, B., et al. (2022). Knowledge mapping of immunotherapy for hepatocellular carcinoma: a bibliometric study. Front. Immunol. 13:815575. doi: 10.3389/fimmu.2022.815575

PubMed Abstract | Crossref Full Text | Google Scholar

Statistics ABo (2021). One year of covid-19: Aussie jobs, business, and the economy. Available at: https://www.abs.gov.au/articles/one-year-covid-19-aussie-jobs-business-and-economy (Accessed March 22, 2023)

Google Scholar

Sun, H.-L., Wang, Y. Y., Feng, Y., Cui, X., Cheung, T., Su, Z., et al. (2024). COVID-19 and sleep problems: a perspective from bibliometric analysis. Behav. Sleep Med. 1-15, 1–15. doi: 10.1080/15402002.2023.2301412

Crossref Full Text | Google Scholar

Synnestvedt, M. B., Chen, C., and Holmes, J. H. (2005). CiteSpace II: visualization and knowledge discovery in bibliographic databases. AMIA Ann. Symposium Proceed. AMIA Symposium 2005, 724–728.

Google Scholar

Taquet, M., Geddes, J. R., Husain, M., Luciano, S., and Harrison, P. J. (2021). 6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records. Lancet Psychiatry 8, 416–427. doi: 10.1016/S2215-0366(21)00084-5

Crossref Full Text | Google Scholar

Thakur, K. T., Miller, E. H., Glendinning, M. D., Al-Dalahmah, O., Banu, M. A., Boehme, A. K., et al. (2021). COVID-19 neuropathology at Columbia University Irving medical center/New York presbyterian hospital. Brain 144, 2696–2708. doi: 10.1093/brain/awab148

PubMed Abstract | Crossref Full Text | Google Scholar

Tian, T., Wu, J., Chen, T., Li, J., Yan, S., Zhou, Y., et al. (2022). Long-term follow-up of dynamic brain changes in patients recovered from COVID-19 without neurological manifestations. JCI Insight 7:e155827. doi: 10.1172/jci.insight.155827

PubMed Abstract | Crossref Full Text | Google Scholar

Turna, J., Zhang, J., Lamberti, N., Patterson, B., Simpson, W., Francisco, A. P., et al. (2021). Anxiety, depression and stress during the COVID-19 pandemic: results from a cross-sectional survey. J. Psychiatr. Res. 137, 96–103. doi: 10.1016/j.jpsychires.2021.02.059

PubMed Abstract | Crossref Full Text | Google Scholar

Van Doremalen, N., Bushmaker, T., Morris, D. H., Holbrook, M. G., Gamble, A., Williamson, B. N., et al. (2020). Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. N. Engl. J. Med. 382, 1564–1567. doi: 10.1056/NEJMc2004973

PubMed Abstract | Crossref Full Text | Google Scholar

Verick, S. Who is hit hardest during a financial crisis? The vulnerability of young men and women to unemployment in an economic downturn. (2009) Available at: https://ssrn.com/ abstract=145552 (Accessed March 22, 2023)

Google Scholar

Verma, S., and Mishra, A. (2020). Depression, anxiety, and stress and socio-demographic correlates among general Indian public during COVID-19. Int. J. Soc. Psychiatry 66, 756–762. doi: 10.1177/0020764020934508

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, J., and Hong, N. (2020). The COVID-19 research landscape: measuring topics and collaborations using scientific literature. Medicine 99:e22849. doi: 10.1097/MD.0000000000022849

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, B., Xing, D., Zhu, Y., Dong, S., and Zhao, B. (2019). The state of exosomes research: a global visualized analysis. Biomed. Res. Int. 2019, 1495130–1495110. doi: 10.1155/2019/1495130

PubMed Abstract | Crossref Full Text | Google Scholar

Wei, L., Caidi, Z., Jinjing, L., Huijuan, Z., Hui, W., Bixi, Y., et al. (2020). Psychological status among different populations during COVID-19 epidemic: a systematic review and Meta-analysis. J. Tongji Univ. 41, 147–154. doi: 10.16118/j.1008-0392.2020.02.002

Crossref Full Text | Google Scholar

Wei, N., Xu, Y., Wang, H., Jia, Q., Shou, X., Zhang, X., et al. (2022). Bibliometric and visual analysis of cardiovascular diseases and COVID-19 research. Front. Public Health 10:1022810. doi: 10.3389/fpubh.2022.1022810

PubMed Abstract | Crossref Full Text | Google Scholar

World Health Organization (2020a). COVID-19: vulnerable and high risk groups. Available at: https://www.who.int/westernpacifc/emergencies/covid-19/information/high-risk-groups (Accessed March 1, 2024).

Google Scholar

World Health Organization (2020b). Director-General’s opening remarks at the media briefing on COVID-19. Available at: https://www.who.int/director-general/speeches/detail (Accessed March 1, 2024)

Google Scholar

World Health Organization (2023). COVID-19 global confirmed cases and deaths. Available at: https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19---6-april-2023 (Accessed March 1, 2024)

Google Scholar

World Socialist Web Site (2020). Nurse suicides rise in Europe amid stress of COVID-19 pandemic. Available at: https://www.wsws.org/en/articles/2020/03/31/trez-m31.html.eng (Accessed March 22, 2023)

Google Scholar

Wu, K., and Wei, X. (2020). Analysis of psychological and sleep status and exercise rehabilitation of front-line clinical staff in the fight against COVID-19 in China. Med. Sci. Monit. Basic Res. 26, e924085–e924081. doi: 10.12659/MSMBR.924085

Crossref Full Text | Google Scholar

Xiao, H., Zhang, Y., Kong, D., Li, S., and Yang, N. (2020). The effects of social support on sleep quality of medical staff treating patients with coronavirus disease 2019 (COVID-19) in January and February 2020 in China. Med. Sci. Monitor 26, e923549–e923541. doi: 10.12659/MSM.923549

Crossref Full Text | Google Scholar

Yeung, A. W. K., Tzvetkov, N. T., Balacheva, A. A., Georgieva, M. G., Gan, R. Y., Jozwik, A., et al. (2020). Lignans: quantitative analysis of the research literature. Front. Pharmacol. 11:37. doi: 10.3389/fphar.2020.00037

PubMed Abstract | Crossref Full Text | Google Scholar

Ying, J., Tan, G. M. Y., and Zhang, M. W. (2022). Intellectual disability and COVID-19: a bibliometric review. Front. Psych. 13:1052929. doi: 10.3389/fpsyt.2022.1052929

PubMed Abstract | Crossref Full Text | Google Scholar

YuenMan, S. The SARS-associated stigma of SARS victims in the post-SARS era of Hong Kong. (2008)

Google Scholar

Zandifar, A., and Badrfam, R. (2020). Iranian mental health during the COVID-19 epidemic. Asian J. Psychiatr. 51:101990. doi: 10.1016/j.ajp.2020.101990

PubMed Abstract | Crossref Full Text | Google Scholar

Zeverdegani, S. K. (2022). Influence of COVID-19 pandemic on the psychological condition and mental health of different types of population: a narrative review. Int. J. Prev. Med. 13:71. doi: 10.4103/ijpvm.IJPVM_301_20

Crossref Full Text | Google Scholar

Zhang, J., Lu, H., Zeng, H., Zhang, S., Du, Q., Jiang, T., et al. (2020). The differential psychological distress of populations affected by the COVID-19 pandemic. Brain Behav. Immun. 87, 49–50. doi: 10.1016/j.bbi.2020.04.031

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, H., Xie, F., Yang, B., Zhao, F., Wang, C., and Chen, X. (2022). Psychological experience of COVID-19 patients: a systematic review and qualitative meta-synthesis. Am. J. Infect. Control 50, 809–819. doi: 10.1016/j.ajic.2022.01.023

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, Y., Leach, L. S., Walsh, E., Batterham, P. J., Calear, A. L., Phillips, C., et al. (2022). COVID-19 and mental health in Australia–a scoping review. BMC Public Health 22:1200. doi: 10.1186/s12889-022-13527-9

Crossref Full Text | Google Scholar

Zhu, Z., Xu, S., Wang, H., Liu, Z., Wu, J., Li, G., et al. (2020). COVID-19 in Wuhan: Sociodemographic characteristics and hospital support measures associated with the immediate psychological impact on healthcare workers. EClin. Med. 24:100443. doi: 10.1016/j.eclinm.2020.100443

Crossref Full Text | Google Scholar