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Anxiety symptoms and preventive measures during the COVID-19 outbreak in Taiwan

BMC Psychiatry volume 20, Article number: 376 (2020) Cite this article

Abstract

Background

It is hypothesized that anxiety and behavioral responses are intense at the beginning of an epidemic. The objective of this study was to investigate anxiety symptoms and use of preventive measures against COVID-19. The study also compared the association between preventive measures and anxiety symptoms during the week immediately preceding the study and those symptoms and measures at the beginning of the outbreak.

Methods

A cross-sectional population survey using an online questionnaire commenced on 14 February 2020. The study participants were residents of Taiwan ages 20 to 70 years. The 6-item state version of the State–Trait Anxiety Inventory (STAI-6) was used to assess anxiety symptoms. The questions about preventive measures asked participants about their personal protection, cough etiquette, contact precautions, voluntary quarantine, and prompt reporting. Multivariable logistic regression was used to determine the factors influencing an increase in the preventive measures scores.

Results

Of a total of 3555 completed responses, a total of 52.1% (95% confidence interval [CI] 50.4–53.7) of the respondents reported moderate to severe levels of anxiety symptoms in the past week, whereas 48.8% (95%CI 47.2–50.5) reported moderate to severe anxiety symptoms at the beginning of the outbreak. With a higher score indicating greater anxiety, the median scores for anxiety symptoms in the past week and at the beginning of the outbreak were 46.7 (IQR [interquartile range] 36.7–53.3) and 43.3 (IQR 36.7–53.3), respectively. The median scores for the preventive measures taken in the past week and at the beginning of the outbreak were 26.0 (IQR 21.0–30.0) and 24.0 (IQR 19.0–28.0), respectively, out of a maximum score of 36. In the multivariable analysis, an increased anxiety symptom score from the beginning of the outbreak to the past week (adjusted OR = 7.38, 95%CI 6.28–8.66) was a strongly significant determinant of an increased preventive measures score in the past week compared with the score at the beginning of the outbreak.

Conclusions

Anxiety and preventive measures scores were high and increased with the epidemic rate. Higher anxiety was associated with an increased use of preventive measures against COVID-19.

Peer Review reports

Background

On 9 January 2020, a novel coronavirus was detected as the causative agent linked to cases of pneumonia reported in Wuhan, China and the genome sequence was made public [1]. Subsequently, the rapid spread of the outbreak across Wuhan and, at a later date, outside mainland China prompted the Chinese government to take immediate action to lockdown the epicenter and several nearby cities in the province of Hubei. The rapid spread of the novel coronavirus caused much anxiety and stigma and on 11 February 2020, the World Health Organization (WHO) declared the official name of the new coronavirus disease to be COVID-19 [2].

The severity and highly contagious nature of COVID-19 have sparked concern worldwide and especially in the countries neighbouring China. The close proximity of Taiwan to China, coupled with the high frequency of cross-border travel, has placed Taiwan as one of the most highly threatened countries, among the other neighbouring countries in Asia, in relation to a COVID-19 outbreak. Taiwan’s government learned from the severe acute respiratory syndrome (SARS) epidemic in 2003, as such, the country has been on constant alert for another epidemic. The Taiwanese government has raised the levels of alert and worry about a potential COVID-19 outbreak in the country. The country has also issued an advisory warning against travel to China. At a later date, various measures were undertaken by the Taiwan government to contain the spread of the COVID-19 virus, including travel bans, and quarantine for those who had recently been to China and who had close contact with confirmed cases of COVID-19. Despite these measures, the first case of COVID-19 in Taiwan was reported on 21 January 2020. On 8 February, the number of confirmed cases in Taiwan had increased to 18. On 16 February, the first coronavirus death was reported in Taiwan, and the total number of confirmed cases was 20. The first death, from a local transmission in Taiwan, also marked the fifth fatality outside mainland China [3]. Taiwan has been listed by the Centers for Disease Control (CDC) and Prevention as one of the countries with an apparent community spread [4].

The COVID-19 outbreak threatens not only the life of those infected but also the psychological health of the affected community [5]. The lessons learned from previous outbreaks such as Ebola [6], SARS [7], and the 2009 influenza A (H1N1) [8, 9] have led to a worldwide recognition of the importance of addressing morbidities related to mental health associated with the outbreak. The impact of such morbidities during a disease outbreak is crucial, not only because it results in a significant weakening in social and other important areas of functioning, including failure in preventive measures [10, 11], but also because excessive mental distress may have a number of biological effects, including reduced cell-mediated immunity and increased inflammatory processes [12, 13]. Recently, a review of global evidence reported that quarantine during previous infectious disease outbreaks such as SARS, Ebola, H1N1 influenza, and Middle East respiratory syndrome resulted in serious psychological consequences with potentially long-lasting effects [14]. Thus, it is important for the general population, in particular people who are under home quarantine or social isolation, to reduce the distress associated with the outbreak in order to maintain an optimal state of psychosocial well-being.

Considering the severe psychological effect of the COVID-19 outbreak, it is tremendously important to assess the lay public’s psychobehavioural response to the outbreak in order to develop and implement effective preventive and emotional regulation control strategies. An important element of outbreak management is an appropriate psychobehavioural response to preventive measures so as to minimize the spread of infection. Experiences from the previous SARS epidemic highlights the importance of appropriate behavioural responses in controlling an epidemic [15, 16].

Because of the importance of determining the level of psychological distress and understanding the psychobehavioural consequences of COVID-19 in the general public while the epidemic is still ongoing, our main objective in this study was to investigate the anxiety symptoms caused by COVID-19, and use of preventive measures against COVID-19, among the general public. We also aimed to compare the anxiety symptoms and preventive measures during the week immediately prior to the study, while the outbreak was still on the rise, and at the time the COVID-19 outbreak was first reported in China. We hypothesized that the preventive practices and level of anxiety in the public increased as the number of COVID-19 cases increased. Further anxiety has also been hypothesized to act as a trigger to preventive practices during disease outbreak [10], thus, we also investigated the influence of anxiety on the use of preventive practices.

Methods

Study design and participants

We commenced a cross-sectional, web-based anonymous survey using an online questionnaire on 14 February 2020. In Taiwan, nearly 73% of the population is between the ages of 15 and 65 years [17]. The legal age of adulthood in the Civil Code of Taiwan is 20 years. Therefore, we surveyed Taiwan residents 20 years old and above. Participants were informed that their participation was voluntary, and consent was implied by the completion of the questionnaire. For this online survey, consent obtained from the participants was verbal and the Institutional Review Board has waived written (signed) consent. Our survey ended on 16 February 2020, immediately after the report of the first death from the COVID-19 virus in Taiwan.

Procedures

The snowballing sampling technique was used to recruit the participants. The researchers used social networks, namely Facebook and LINE (the most popular messaging app in Taiwan) to circulate the survey link to all members on their contact lists. When participants anonymously completed the survey, they were encouraged to disseminate the survey link to all their contacts with a thank you note at the end. The questionnaire was developed in English and then translated into Mandarin. Local experts validated the content of the questionnaire, after which it was pilot tested. The survey consisted of three sections, which assessed (1) demographic background, (2) anxiety symptoms, and (3) use of preventive measures. The survey took approximately 10 min to complete.

Anxiety symptoms

The 6-item state version of the State–Trait Anxiety Inventory (STAI-6), which assesses anxiety symptoms, was adapted from previous studies for use in this study [18, 19]. The STAI-6 has been shown to be highly correlated with the 20-item STAI, and all internal consistency reliabilities are greater than 0.90 [20]. The STAI-6 has been used both as a self-administered and online questionnaires [21,22,23]. The Chinese version of the STAI was used in this survey [24]. The participants rated the frequency of experiencing six emotional states, namely being calm, tense, upset, relaxed, content, and worried, in relation to the current COVID-19 outbreak. A 4-point scale was used (1 = not at all, 2 = somewhat, 3 = moderately, 4 = very much). The scores on the three positively-worded items were reverse coded. The participants were asked to rate each of the anxiety symptoms during the past week (PW)-starting on February 8 and during the beginning of the outbreak (BO)- January 23 (the day of the Wuhan lockdown) to February 8. The anxiety symptoms during the PW are defined as the anxiety level between 8 February and the time of the survey. The anxiety level during the BO is defined as the anxiety symptoms experienced from the date of the Wuhan lockdown (23 January 2020) until 8 February 2020. The total summed scores for the PW and BO periods were prorated (multiplied by 20/6) in order to obtain scores that were comparable with those from the full 20-item STAI (range from 20 to 80) [18]. Scores of 44 or above were defined as indicating moderate to severe symptoms [10, 25, 26].

Preventive measures

Questions assessing use of preventive measures were developed specifically for this study (Additional file 1). Preventive measures were assessed using questions that asked the participants about their personal protection (four items), cough etiquette (four items), contact precautions (two items), voluntary quarantine (one item), and prompt reporting (one item). The response options were on a 4-point Likert scale, with the items scored as 0 (rarely), 1 (occasionally), 2 (often), and 3 (always). The participants were asked to answer each question about the preventive measures they had carried out during the PW and during the BO. As with the anxiety levels, the preventive measures during the PW are defined as preventive measures carried out between 8 February and the time of the survey, and preventive measures during the BO are the measures carried out from the date of the Wuhan lockdown (23 January 2020) until 8 February 2020. The total scores for the preventive measures for each period were obtained by summing across all the questions. The possible score ranges from 0 to 36, with higher scores indicating higher use of preventive measures.

Ethical considerations

The study protocol was approved by the Research Ethics Committee of the National Taiwan Normal University (no. 202002HS007). Informed consent was obtained using an online consent form that the participant had to actively agree to and all participants were 20 years old and above. This method of consent was approved by the ethics committee.

Statistical analyses

The reliability of the anxiety symptoms and preventive measure scores were evaluated by assessing their internal consistency. The 12 items for preventive measures had a reliability (Cronbach’s α) of 0.891. Multivariable logistic regression was used to determine the factors influencing an increase in the preventive measures score (1 = increase in use of preventive measures score over time; 0 = no increase or a decrease in use of preventive measures over time). Variables that were significant by a chi-square (χ2) test were selected for multivariable logistic regression analysis and included in the model, using a simultaneous forced-entry method. Odds ratios (OR), 95% confidence intervals (95%CI), and p values were calculated for each independent variable. The model fit was assessed using the Hosmer–Lemeshow goodness-of-fit test [27]. All statistical analyses were performed using the Statistical Package for the Social Sciences, version 20.0 (IBM Corp., Armonk, NY, USA). A p < value of less than 0.05 was considered statistically significant.

Results

Of a total of 3555 complete responses, the majority were from the North district of Taiwan (66.3%), females (78.2%), and ages 31–40 years (36.9%) or 41–50 years (28.4%). The great majority had either a college degree (58.2%) or postgraduate degree (34.8%). A summary of the characteristics of the respondents is provided in the first and second columns of Table 1.

Table 1 Participant characteristics and anxiety symptom score past week and beginning of the outbreak (N = 3555)
Full size table

Anxiety symptoms

A total of 52.1% (95%CI 50.4–53.7) of the respondents reported moderate to severe anxiety symptoms on the STAI for the PW period, whereas 48.8% (95%CI 47.2–50.5) reported moderate to severe anxiety symptoms for the BO period (Table 1). The highest proportions of moderate to severe cases of anxiety during the PW period were respondents ages 31–40 years (57.1%; 95%CI 54.4–59.8), female (55.2%; 95%CI 53.4–57.1), having a high school education or below (56.0%; 95%CI 49.6–62.2), and from the North district (53.1%; 95%CI 51.1–55.1). Similar proportions of respondents with average household incomes below NT$20,000 (54.4%; 95%CI 50.1–58.6) and between NT$20,000 and NT$50,000 (54.4%; 95%CI 51.8–56.9) reported moderate to severe cases of anxiety for the PW period.

The highest proportion of moderate to severe cases of anxiety during the BO period were respondents ages 31–40 years (53.7%; 95%CI 51.0–56.4), female (51.9%; 95%CI 50.0–53.7), having a college education (51.2%; 95%CI 49.1–53.4), and with a household income between NT$20,000 and NT$50,000 (51.6%; 95%CI 49.0–54.2). Similar proportions of respondents from the North (49.4%; 95%CI 47.3–51.4) and Central (49.7%; 95%CI 45.8–53.7) districts reported moderate to severe anxiety during the BO period. On the whole, respondents who were older, male, whose highest educational level was a college degree and above, in the higher income group and from the South or East districts reported the lower levels of anxiety symptoms during both the PW and the BO periods.

The greatest increase in the proportion of moderate to severe cases of anxiety from the PW to the BO periods was from those in the 41–50 age group (5.2%; 95%CI 4.0–6.7), and this value was statistically significant. In contrast, there was a decrease in the proportion with moderate to severe anxiety (− 2.8%; 95%CI − 9.2–3.6) among the respondents in the 20–30 age group. Female participants showed a significantly higher increase in the proportion of moderate to severe cases of anxiety (3.3%; 95%CI 2.7–4.1) than male participants (2.7%; 95%CI 1.8–4.1). The highest increase in the proportion with moderate to severe anxiety came from respondents whose highest educational level was high school or below (6.0%; 95%CI 3.7–9.7) and whose income was below NT$20,000 (5.7%; 95%CI 4.0–8.0). Increases in the proportions of moderate to severe anxiety levels were greater in respondents from the North (3.7%; 95%CI 3.0–4.6) and Central (3.2%; 95%CI 2.0–4.9) districts than from other districts.

The difference in mean STAI score for the PW period (46.2, SD = 11.68) and the BO period (45.0, SD = 12.13) was statistically significant (Wilcoxon signed rank test = 6.414, p < 0.001). The median scores for anxiety symptoms during the PW and the BO periods were 46.7 (IQR 36.7–53.3) and 43.3 (IQR 36.7–53.3), respectively. The scale for both scores ranges from 20 to 80. In total, 1229 (34.6%; 95%CI 33.0–36.2) had increases in their anxiety scores from the PW to the BO periods (PW score > BO score), and 2326 (65.4%; 95%CI 63.9–67.0) recorded a similar or lower anxiety score (PW score ≤ BO score).

Preventive measures

A summary of responses in relation to use of preventive measures during the PW and BO periods is shown in Table 2. During the PW period, the highest proportion of use of personal protective measures was for respondents who frequently washed their hands with soap (49.0%; 95%CI 47.3–50.7), followed by those who wore a mask (31.8%; 95%CI 30.3–33.4). As for cough etiquette, the most commonly practised preventive measures were disposing of tissues immediately (80.1%; 95%CI 78.9–81.4) and covering one’s mouth and nose when coughing or sneezing (65.2%; 95%CI 63.6–66.7). Always performing hand hygiene was reported by a high proportion of the participants (60.3%; 95%CI 58.6–61.9). Over a third of respondents reported that they always avoided proximity with others (34.4%; 95%CI 32.8–36.0) and avoided gathering in groups (41.2%; 95%CI 39.5–42.8). Nearly two-thirds reported that they always voluntarily quarantined themselves if they were feeling unwell (61.6%; 95%CI 60.0–63.2), but fewer than half said they would always report promptly to health authorities if they were feeling unwell (45.4%; 95%CI 43.8–47.1).

Table 2 Differences in preventive measures scores between past week and beginning of outbreak (N = 3555)
Full size table

Similar findings were reported for preventive measures during the BO period, with the highest proportion reporting that they always disposed of tissues immediately after coughing and sneezing (66.5%; 95%CI 64.9–68.0), followed by those who reported covering their mouths and noses when coughing or sneezing (62.2%; 95%CI 60.6–63.8). The proportion who practised contact precautions was relatively low. A comparison of the proportions who always practised particular preventive measures during the PW and the BO periods shows that disposing of tissues immediately after coughing and sneezing recorded the highest increase (13.6%; 95%CI 12.6–14.8), followed by avoiding group gatherings (10.3%; 95%CI 9.4–11.4) and frequently washing hands (10.8%; 95%CI 9.8–11.8). The increases were lower for using eye protection (1.9%; 95%CI 1.5–2.4) and covering one’s mouth and nose when coughing or sneezing (3.0%; 95%CI 2.4–3.6).

The difference in the mean total scores for preventive measures during the PW (25.4, SD = 5.85) and the BO periods (23.4, SD = 6.56) was statistically significant (Wilcoxon signed rank test = 23.917, p < 0.001). The median scores for preventive measures during the PW and the BO periods were 26.0 (IQR 21.0–30.0) and 24.0 (IQR 19.0–28.0), respectively. The observed total scores for use of preventive measures ranged from 2 to 36 for the PW period and 0–36 for the BO period. A total of 1696 (47.7, 95%CI: 46.1–49.4) respondents had an increase in their total preventive measures scores from the PW to the BO periods, and 1859 (52.3, 95%CI: 50.6–53.9) had similar or lower total preventive measures scores.

Table 3 shows results of the univariate and multivariable analyses of the factors associated with a higher total preventive measures scores in the PW periods than in the BO period. Having a higher anxiety score for the PW than for the BO period (adjusted OR = 7.38, 95%CI 6.28–8.66) was a strong significant determinant of an increase in the preventive measure score from the BO to the PW periods. Respondents with a college-level education (adjusted OR = 1.58, 95% 1.17–2.13) and graduate level education or above (adjusted OR = 1.74, 95% 1.28–2.38) were more likely to have an increased preventive measure scores from the BO to the PW periods than those whose highest education level was high school or below.

Table 3 Factors associated with differences in total preventive measure scores (N = 3555)
Full size table

Discussion

Approximately 3 weeks after the widespread news of the lockdown of the epicenter of COVID-19, we found the alarming result that over half (52.1%) of lay members of the Taiwanese public who participated in the survey had moderate to severe anxiety. The anxiety level of our study sample is similar to that reported in mainland China. A recently published study conducted in mainland China at the same time as our study reported that 53.8% of the people in China rated the psychological impact of the outbreak as moderate or severe [28]. Those in the younger age groups, females, and those with less education and a lower income were found to report more anxiety symptoms. This provides valuable information to allow public health authorities and stakeholders to coordinate their targeted mental health interventions. Similarly, other recently published studies conducted in mainland China during the COVID-19 pandemic also found higher anxiety among females and younger people [28, 29]. Higher anxiety among females has been reported in SARS outbreaks [16]. This greater psychological impact of disease outbreaks on females corresponds to many psychiatric epidemiology findings, namely, that women being significantly more likely than men to develop an anxiety disorder when exposed to traumatic events [30, 31]. Of important note, the reason why the younger respondents in our study expressed a higher degree of anxiety is unknown, and this warrants further investigation. Future studies should focus on the consequences of the infodemic of false information about COVID-19 circulating on social media and of the social anxiety in Taiwan. The huge amount of information about the novel coronavirus circulating on social media has been reported to spark anxiety, fear and panic in users [32]. It is also noteworthy that in our study the older age group reported the lowest anxiety levels during the time of the interview and the beginning of the outbreak; however, they reported a greater increase in anxiety over time. This could perhaps be due to an increase of reporting in the news media nationwide of evidence of elderly people’s elevated risk of serious illness and death from the new coronavirus.

Despite it being widely circulated in the news media that older adults affected by COVID-19 likely have a higher risk of complications and mortality, and the recent large epidemiological data from the Chinese Centre for Disease Control and Prevention that shows that those above 60 years of age accounted for 44.1% of confirmed cases in Wuhan [33], our study’s participants in the older age group appear to have a lower level of anxiety. Further studies are warranted to determine whether the low anxiety stems from a lack of knowledge or the respondents being out-of-touch with current media interventions. The exponential increase in confirmed COVID-19 cases in mainland China following the lockdown, as well as the increasing numbers of cases outside China, including in Taiwan, has sparked global concern and likewise an increase in anxiety among the participants in this study. Further, the advisory warning against travel, including border control from the air and sea, and daily press briefings by the ministry of health and welfare of the Central Epidemic Command Center (CECC) of Taiwan [34] perhaps also caused or exacerbated stress in the community. Concurrent with the relatively low anxiety levels among those with higher education and higher incomes, the increase in anxiety was also lowest among the group with the higher socio-economic status. The underlying reasons for these socio-economic disparities in anxiety also warrant further investigation.

Since the early phase of the COVID-19 pandemic, people in Taiwan have been constantly provided health information that encourages the practice of proper handwashing, social distancing, and cough etiquette through mass media and billboards in public areas. This perhaps resulted in good preventive measures being adopted by the study participants, as evidenced by the median scores of 25 and 23, out of a possible score of 36, for the past week and the beginning of the outbreak, respectively. Further, nearly half of them reported improved preventive practices in the past week compared to the beginning of the outbreak. We also found a considerable increase in use of the preventive measures in hand washing, cough etiquette, and contact precaution, which perhaps explains why, as of February 16, only 20 confirmed COVID-19 cases have been reported in Taiwan, despite it being in close geographical proximity to mainland China and having a high volume of travellers to and from mainland China prior to the outbreak. Nonetheless, the findings highlight the need to improve contact precautions, since the proportion of respondents who were avoiding proximity and group gatherings was low at both the beginning of the outbreak and in the past week. Multivariable analyses revealed that participants with higher education levels reported a greater increase in the use of preventive measures. A greater increase in anxiety symptoms was associated with a greater increase in preventive practices. This finding is in congruence with previous findings from the SARS outbreak in Hong Kong where a positive dose-response gradient between anxiety level and adoption of personal protective measures was found [15], suggesting that the right level of anxiety, not so high as to result in a detrimental health impact, can perhaps help to stimulate practices that prevent an epidemic.

The current study has several limitations. The first limitation is that the responses were based on self-reports and may be subject to self-report and recall biases. Second, the online survey with snowballing sampling resulted in a sample that was lack of representativeness of the general population. In Taiwan, females account for 50.4% of the total population, and 46.7% have completed tertiary education. High school graduates and below account for 35.5 and 17.8%, respectively. The Northern region of Taiwan accounts for nearly half (45.6%) of the total Taiwan population [35]. It is notable that the study had an over-representation of female and highly educated participants, and an unequal distribution of respondents among the districts of Taiwan. The current total Taiwanese population is estimated at 23,816,775. Taipei, the capital city, and its surrounding metropolitan area are on the Northern part of the island; this resulted in a large proportion of our study participants coming from the Northern region. Nevertheless, during the crisis period of the outbreak, the snowballing method, which uses LINE and Facebook, the largest social media platform in Taiwan, was extremely effective in achieving a wide coverage of participants. Despite the limitations, the study contributes tremendously to the understanding of the psychological well-being and psychobehavioural responses of the general public in Taiwan associated with COVID-19 while the epidemic is still on-going.

Conclusion

Anxiety and the use preventive measures increased along with the increase in the COVID-19 epidemic rate. Higher anxiety was associated with greater use of preventive measures against COVID-19. It is of the utmost urgency that public health interventions be carried out to reach the identified groups of people with poor adherence to preventive measures. Considering the extremely contagious nature of COVID-19, a slight lack of compliance by even a small portion of the population may have grave consequences and contribute to the continued spread of the coronavirus. The demographics disparities in psychological effects and psychobehavioural responses to the outbreak found in this study provide important information for developing and implementing targeted preventive and emotional regulation control strategies.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BO:

Beginning of outbreak

CI:

Confidence Interval

COVID-19:

Coronavirus disease-2019

H1N1:

Influenza A

NT$:

New Taiwan Dollar

PW:

Past week

SARS:

Severe acute respiratory syndrome

STAI-6:

State–Trait Anxiety Inventory

WHO:

World Health Organization

References

  1. Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, Wang W, Song H, Huang B, Zhu N, Bi Y. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020;395:565–74. https://doi.org/10.1016/S0140-6736(20)30251-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. WHO. Coronavirus disease (COVID-19) outbreak. 2020. https://www.who.int/emergencies/diseases/novel-coronavirus-2019. Accessed 20 Feb 2020.

    Google Scholar 

  3. WHO. Coronavirus disease 2019 (COVID-19). Situation report-29. 2020. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200218-sitrep-29-covid-19.pdf. Accessed 20 Feb 2020.

    Google Scholar 

  4. CDC. Coronavirus Disease 2019 (COVID-19). Information for Travel. 2020. https://www.cdc.gov/coronavirus/2019-ncov/travelers/index.html. Accessed 21 Feb 2020.

  5. Bao Y, Sun Y, Meng S, Shi J, Lu L. 2019-nCoV epidemic: address mental health care to empower society. The Lancet. 2020;395(10224):e37-e38. https://doi.org/10.1016/S0140-6736(20)30309-3.

  6. Jalloh MF, Li W, Bunnell RE, Ethier KA, O’Leary A, Hageman KM, Sengeh P, Jalloh MB, Morgan O, Hersey S, Marston BJ. Impact of Ebola experiences and risk perceptions on mental health in Sierra Leone, July 2015. BMJ Glob Health. 2018;3:e000471. https://doi.org/10.1136/bmjgh-2017-000471.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Vijaya K, Low YY, Chan SP, Foo LL, Lee M, Deurenberg-Yap M. Behaviour of Singaporeans during the SARS outbreak: the impact of anxiety and public satisfaction with media information. Int J Health Promot Educ. 2005;43:17–22. https://doi.org/10.1080/14635240.2005.10708030.

    Article  Google Scholar 

  8. Cowling BJ, Ng DM, Ip DK, Liao Q, Lam WW, Wu JT, Lau JT, Griffiths SM, Fielding R. Community psychological and behavioral responses through the first wave of the 2009 influenza A (H1N1) pandemic in Hong Kong. J Infect Dis. 2010;202:867–76. https://doi.org/10.1086/655811.

    Article  PubMed  Google Scholar 

  9. Rubin GJ, Amlôt R, Page L, Wessely S. Public perceptions, anxiety, and behaviour change in relation to the swine flu outbreak: cross sectional telephone survey. BMJ. 2009;339:b2651. https://doi.org/10.1136/bmj.b2651.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Leung GM, Ho LM, Chan SK, Ho SY, Bacon-Shone J, Choy RY, Hedley AJ, Lam TH, Fielding R. Longitudinal assessment of community psychobehavioral responses during and after the 2003 outbreak of severe acute respiratory syndrome in Hong Kong. Clin Infect Dis. 2015;40:1713–20. https://doi.org/10.1086/429923.

    Article  Google Scholar 

  11. Taylor MR, Agho KE, Stevens GJ, Raphael B. Factors influencing psychological distress during a disease epidemic: data from Australia's first outbreak of equine influenza. BMC Public Health. 2008;8:347. https://doi.org/10.1186/1471-2458-8-347.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Marshall GD. The adverse effects of psychological stress on immunoregulatory balance: applications to human inflammatory diseases. Immunol Allergy Clin. 2011;31:133–40. https://doi.org/10.1016/j.iac.2010.09.013.

    Article  Google Scholar 

  13. Segerstrom SC, Miller GE. Psychological stress and the human immune system: a meta-analytic study of 30 years of inquiry. Psychol Bull. 2004;130:601. https://doi.org/10.1037/0033-2909.130.4.601.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, Rubin GJ. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. The Lancet. 2020. https://doi.org/10.1016/S0140-6736(20)30460-8.

  15. Lau JT, Yang X, Tsui H, Kim JH. Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62. J Epidemiol Community Health. 2003;57:864–70. https://doi.org/10.1136/jech.57.11.864.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Leung GM, Quah S, Ho LM, Ho SY, Hedley AJ, Lee HP, Lam TH. A tale of two cities: community psychobehavioral surveillance and related impact on outbreak control in Hong Kong and Singapore during the severe acute respiratory syndrome epidemic. Infect Control Hosp Epidemiol. 2004;25:1033–41. https://doi.org/10.1086/502340.

    Article  PubMed  Google Scholar 

  17. Statista. Population in Taiwan 2008–2018, by broad age group. 2020. https://www.statista.com/statistics/321439/taiwan-population-distribution-by-age-group/. Accessed on 15 May 2020.

    Google Scholar 

  18. Hou WK, Hall BJ, Canetti D, Lau KM, Ng SM, Hobfoll SE. Threat to democracy: physical and mental health impact of democracy movement in Hong Kong. J Affect Disord. 2015;186:74–82. https://doi.org/10.1016/j.jad.2015.07.005.

    Article  PubMed  Google Scholar 

  19. Marteau TM, Bekker H. The development of a six-item short-form of the state scale of the Spielberger State—Trait Anxiety Inventory (STAI). Br J Clin Psychol. 1992;31:301–6. https://doi.org/10.1111/j.2044-8260.1992.tb00997.x.

    Article  CAS  PubMed  Google Scholar 

  20. Tluczek A, Henriques JB, Brown RL. Support for the reliability and validity of a six-item state anxiety scale derived from the state-trait anxiety inventory. J Nurs Meas. 2009 Jan 1;17(1):19.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lewis C, Hill M, Chitty LS. Women’s experiences and preferences for service delivery of non-invasive prenatal testing for aneuploidy in a public health setting: a mixed methods study. PloS one. 2016;11(4). https://doi.org/10.1371/journal.pone.0153147.

  22. van Schendel RV, Page-Christiaens GL, Beulen L, Bilardo CM, de Boer MA, Coumans AB, Faas BH, van Langen IM, Lichtenbelt KD, van Maarle MC, Macville MV. Women’s experience with non-invasive prenatal testing and emotional well-being and satisfaction after test-results. J Genet Couns. 2017;26(6):1348–56. https://doi.org/10.1007/s10897-017-0118-3.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Labonté V, Alsaid D, Lang B, Meerpohl JJ. Psychological and social consequences of non-invasive prenatal testing (NIPT): a scoping review. BMC Pregnancy Childbirth. 2019;19(1):385. https://doi.org/10.1186/s12884-019-2518-x.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Shek DT. The Chinese version of the state-trait anxiety inventory: its relationship to different measures of psychological well-being. J Clin Psychol. 1993;49(3):349–58. https://doi.org/10.1002/1097-4679(199305)49:3<349 AID-JCLP2270490308>3.0.CO;2-J.

    Article  CAS  PubMed  Google Scholar 

  25. Knight RG, Waal-Manning HJ, Spears GF. Some norms and reliability data for the state-trait anxiety inventory and the Zung self-rating depression scale. Br J Clin Psychol. 1983;22:245–9. https://doi.org/10.1111/j.2044-8260.1983.tb00610.x.

    Article  PubMed  Google Scholar 

  26. Speilberger CD, Gorsuch RL, Lushene R, Vagg R, Jacobs GS. Manual for the Stait-trait anxiety inventory. California: Consulting Psychologists Press; 1983.

    Google Scholar 

  27. Hosmer Jr DW, Lemeshow S, Sturdivant R. Applied logistic regression. Hoboken, New Jersey: Wiley; 2013.

  28. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, Ho RC. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. 2020;17(5):1729. https://doi.org/10.3390/ijerph17051729.

    Article  PubMed Central  Google Scholar 

  29. Qiu J, Shen B, Zhao M, Wang Z, Xie B, Xu Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. Gen Psychiatry. 2020;33(2). https://doi.org/10.1136/gpsych-2020-100213.

  30. McLean CP, Asnaani A, Litz BT, Hofmann SG. Gender differences in anxiety disorders: prevalence, course of illness, comorbidity and burden of illness. J Psychiatr Res. 2011;45(8):1027–35. https://doi.org/10.1016/j.jpsychires.2011.03.006.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Tolin DF, Foa EB. Sex differences in trauma and posttraumatic stress disorder: a quantitative review of 25 years of research. Psychol Bull. 2006;132(6):959–92. https://doi.org/10.1037/0033-2909.132.6.959.

    Article  PubMed  Google Scholar 

  32. Ahmad AR, Murad HR. The impact of social media on panic during the COVID-19 pandemic in Iraqi Kurdistan: online questionnaire study. J Med Internet Res. 2020;22(5):e19556. https://doi.org/10.2196/19556.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Novel CP. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua liu xing bing xue za zhi= Zhonghua liuxingbingxue zazhi. 2020;41:145. https://doi.org/10.3760/cma.j.issn.0254-6450.2020.02.003.

    Article  Google Scholar 

  34. Wang CJ, Ng CY, Brook RH. Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing. Jama. 2020;323(14):1341–2. https://doi.org/10.1001/jama.2020.3151.

    Article  CAS  PubMed  Google Scholar 

  35. Department of Household Registration, MOI Global Information Network, Department of Household Affairs, Ministry of the Interior Taiwan. Statistical Map of National Population Database. Taiwan. https://gis.ris.gov.tw/index.html. Accessed 8 June 2020.

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Acknowledgments

The authors would like to thank all participants involved in this study.

Funding

This study was supported by the National Taiwan Normal University. The research team is independent of the funding agencies and the funding agencies were not involved in the design, interpretation or writing of the manuscript.

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Authors and Affiliations

  1. Centre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya 50603, Kuala Lumpur, Malaysia

    Li Ping Wong & Haridah Alias

  2. Institute of Brain Science, National Yang Ming University, Taipei, Taiwan

    Chia-Chun Hung

  3. Bali Psychiatric Center, Ministry of Health and Welfare, New Taipei City, Taiwan

    Chia-Chun Hung

  4. Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, Taiwan

    Tony Szu-Hsien Lee

Authors
  1. Li Ping Wong
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  2. Chia-Chun Hung
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  3. Haridah Alias
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  4. Tony Szu-Hsien Lee
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Contributions

LPW and TSHL conceived the study. CCH and TSHL conducted the study and collected the data. LPW and HA analysed the data. LPW wrote the manuscript. All authors have approved the manuscript.

Corresponding authors

Correspondence to Li Ping Wong or Tony Szu-Hsien Lee.

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Ethics approval and consent to participate

This study protocol was approved by the Research Ethics Committee of the National Taiwan Normal University (no. 202002HS007).

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The authors declare that they have no competing interests.

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Supplementary information

Additional file 1.

Questions assessing preventive measures against COVID-19.

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Wong, L.P., Hung, CC., Alias, H. et al. Anxiety symptoms and preventive measures during the COVID-19 outbreak in Taiwan. BMC Psychiatry 20, 376 (2020). https://doi.org/10.1186/s12888-020-02786-8

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Keywords

BMC Psychiatry

ISSN: 1471-244X

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