Literature DB >> 20582562

Monitoring of perceptions, anticipated behavioral, and psychological responses related to H5N1 influenza.

J T F Lau1, H Y Tsui, J H Kim, P K S Chan, S Griffiths.   

Abstract

BACKGROUND: The aim of this study was to monitor changes in behavioral and emotional responses to human H5N1 in the community over a 28-month period (from November 2005 to February 2008).
METHODS: A total of 3,527 Hong Kong Chinese adults were interviewed by telephone within the framework of six identical cross-sectional surveys carried out during the 28-month study period. Given a hypothetical scenario that two to three new human-to-human H5N1 cases had been reported in Hong Kong, the trends of the respondents in various H5N1-related risk perceptions, anticipated personal psychological responses, and anticipated personal preventive behaviors were investigated.
RESULTS: Over time, a decreased proportion of the respondents (1) felt susceptible to contracting H5N1, (2) expected a large outbreak would eventually occur, (3) believed that the impacts of H5N1 were worse than those of severe acute respiratory syndrome (SARS), and (4) anticipated adopting more types of preventive measures and experiencing mental distress in the case of a small-scale outbreak in Hong Kong (AOR from 0.27 to 0.43, p < 0.001), but the public remained vigilant on public health behaviors, such as hand-washing. The prevalence of misconceptions on the mode of transmission declined, but remained high; perceptions on the fatality of H5N1 remained largely underestimated. The SARS experience and unconfirmed beliefs about the transmission modes were associated with variables on anticipated preventive behaviors and emotional distress.
CONCLUSION: Starting in 2005 through to 2008, respondents perceived a decreasing level of susceptibility, severity, and anticipated stress towards a hypothetical human-to-human H5N1 outbreak, possibly due to the low efficiency of transmission. The public's general preparedness was still relatively good and rational, even though individual preventive behaviors were less common. However, misconceptions were prevalent among the respondents. Based on these results, public education is warranted to rectify these misconceptions.

Entities:  

Mesh:

Year:  2010        PMID: 20582562      PMCID: PMC7100839          DOI: 10.1007/s15010-010-0034-z

Source DB:  PubMed          Journal:  Infection        ISSN: 0300-8126            Impact factor:   3.553


Introduction

As of August 10, 2009, H5N1 influenza (avian flu) cases in birds had been reported in 62 countries [1], and 438 human H5N1 cases and 262 human deaths had been reported from 15 countries [2]. Although human-to-human transmission of H5N1 is inefficient [3], a conservative estimate of the effect on human health of an antigenic shift of the H5N1 virus is that up to 7.4 million deaths would occur worldwide [4]. In 1997, the first human H5N1 cases were reported in Hong Kong; this outbreak consisted of 18 human cases with six deaths [5]. Only two human cases of H5N1 influenza were reported in Hong Kong in 2003, despite intermittent reports of small numbers of dead birds being H5N1 carriers [6]. Hong Kong and other countries have since instigated H5N1 preparedness plans to control potential outbreaks, which primarily involve hospital infection control measures. During the severe acute respiratory syndrome (SARS) epidemic period from March through June 2003 in Hong Kong, disease-related perceptions in the general population not only changed dramatically over a short period of time, but they were associated with community panic levels and the adoption of prevention behaviors [7]. Public perceptions of H5N1, such as the low perceptions of its seriousness and lack of control of external causes of the outbreaks, are often at odds with the efforts put in place to control its spread [8]. Results obtained from our earlier baseline studies showed that unconfirmed beliefs about H5N1 disease transmission modes were also prevalent in Hong Kong and associated with immediate behavioral responses, particularly avoidance behaviors, such as the avoidance of eating poultry meat and the avoidance of crowded places [9]. A small-scale outbreak of human H5N1 in Hong Kong would cause increased psychological distress and the adoption of preventive behaviors in the general population [10, 11]. We also found that H5N1-related perceptions were associated with higher anticipated psychological distress and the adoption of personal prevention behaviors [10, 11]. Perceptions and anticipated community responses, however, do change over time. We subsequently conducted five additional surveys that were comparable to the aforementioned baseline study with the aim of monitoring changes in perceptions and anticipated community responses. The results are reported in this paper. The study reported here therefore monitored—over a 28-month study period—trends in H5N1-related risk perceptions, anticipated psychological responses, and anticipated personal preventive behaviors in the case that two to three new human-to-human H5N1 cases would be reported in Hong Kong.

Methods

Sampling and data collection

The study population comprised Chinese adults (age 18–60 years) living in Hong Kong. Telephone numbers were randomly selected from up-to-date telephone directories. Random numbers were generated by the computer to represent page number, column. and row numbers. Six rounds of cross-sectional telephone surveys were conducted: survey 1, November 2005 (n = 503); survey 2, March 2006 (n = 501); survey 3, August 2006 (n = 502); survey 4, January 2007 (n = 501); survey 5, August 2007 (n = 770); survey 6, February 2008 (n = 750). A total of 3,527 individuals were therefore phoned during a 28-month period; the calls were placed between 6:30 and 10 p.m. to avoid an overrepresentation of unemployed people. The baseline study was conducted with a separate funding source, and surveys 2–6 were implemented roughly at 6-month intervals according to the study protocol. The eligible household member, whose last birthday was closest to the date of the survey, was invited to participate the study. Prospective participants were briefed on the study, and verbal informed consent was obtained before the commencement of the anonymous interview. At least three other independent telephone calls were made at different hours and days to those unanswered telephone numbers before the number was defined as invalid. Similar telephone survey methods have been used in a number of published studies related to SARS and H5N1 influenza [7–10, 12–14]. The response rate, defined as the number of completed interviews divided by the number of eligible households, was close to 60%. Approval for the study was obtained by the Survey and Behavioural Research Ethics Committee of the Chinese University of Hong Kong.

Measures

An identical structured questionnaire was used for all six surveys. This questionnaire had been used for the first time in the 2005 baseline survey [9-11]. Respondents were asked to answer questions on the level of emotional distress experienced during the local SARS outbreak (a 10-point scale ranging from 1.0 to 10.0), on some unconfirmed beliefs concerning the modes of human-to-human H5N1 transmission, and on other relevant perceptions (listed in Table 1).
Table 1

Perceptions related to H5N1 with respect to human-to-human H5N1 transmission scenario

PerceptionsSurvey 1Survey 2Survey 3Survey 4Survey 5Survey 6 χ trend2 Survey 6 versus Survey 1
(Col%)(Col%)(Col%)(Col%)(Col%)(Col%) p AOR (95% CI)
Unconfirmed beliefs on H5N1 transmission modesb
  Airborne (long-distance)47.944.045.846.641.128.0<0.0010.41 (0.32, 0.52)***
  Insect bites48.943.042.046.648.746.70.440.91 (0.72, 1.14)
  Water sources (e.g., reservoirs)47.342.044.642.447.854.7<0.0011.36 (1.08, 1.70)**
  Eating well-cooked poultry meat24.916.613.924.223.69.3<0.0010.31 (0.22, 0.42)***
Perceived susceptibility to H5N1 infection (% likely/very likely)c
  Oneself24.122.023.119.619.312.4<0.0010.43 (0.32, 0.58)***
  One’s family24.321.021.518.019.411.7<0.0010.40 (0.30, 0.55)***
  The general public33.625.624.522.824.113.0<0.0010.29 (0.22, 0.38)***
Perceptions related to H5N1 outbreak and treatment
  Anticipated a large outbreak if two to three new H5N1 cases were reported in Hong Kong (likely/very likely)c 33.021.428.734.015.415.9<0.0010.39 (0.29, 0.51)***
  Perceived that local government can control the epidemic if two to three new H5N1 cases were reported in Hong Kong (yes)b 69.265.469.567.073.373.3<0.011.24 (0.97, 1.59)
  No effective drugs currently available (agree)a 50.561.357.059.760.478.6<0.0013.54 (2.76, 4.54)***
  No effective vaccine currently available (agree)a 58.666.460.263.961.281.7<0.0013.11 (2.40, 4.03)***
Perceived adverse consequences being worse than SARS (%)d
  Fatality rate40.233.025.133.020.218.0<0.0010.31 (0.24, 0.40)***
  Infectivity40.433.229.535.625.719.8<0.0010.34 (0.27, 0.44)***
  Permanent physical damages to the patients20.918.817.918.611.511.9<0.0010.49 (0.36, 0.67)***
  Impacts onto oneself & the family25.019.617.115.815.212.7<0.0010.42 (0.31, 0.56)***
  Economic impact on Hong Kong36.829.324.327.822.315.9<0.0010.31 (0.23, 0.40)***
  Duration of the epidemic40.437.331.139.032.026.6<0.0010.52 (0.41, 0.66)***
  Total number of people infected38.627.625.728.725.515.4<0.0010.27 (0.20, 0.35)***
Number of items with “worse than SARS” responses in the above 7 itemse
  None27.836.641.837.045.458.2<0.0010.27 (0.21, 0.35)***
  1–3 items38.638.639.038.037.928.6
  4–7 items33.624.819.125.016.713.2

AOR, Odds ratio adjusted for gender, age group, education level, marital status, and employment status; CI, confidence interval

* p < 0.05; ** p < 0.01; *** p < 0.001; a p value < 0.05 was taken as statistically significant

aResponses options include “agree”, “disagree”, and “not certain”

bResponse options include “yes, “no”, and “not certain”

cResponse options include “very likely”, “likely”, “unlikely”, “very unlikely”, and “not certain”

dResponse options include “worse than severe acute respiratory syndrome (SARS)”, “similar to SARS”, “better than SARS”, and “not certain”

eThe variable was dichotomized into “None” and “At least 1 item” in the logistic regression analysis

Perceptions related to H5N1 with respect to human-to-human H5N1 transmission scenario AOR, Odds ratio adjusted for gender, age group, education level, marital status, and employment status; CI, confidence interval * p < 0.05; ** p < 0.01; *** p < 0.001; a p value < 0.05 was taken as statistically significant aResponses options include “agree”, “disagree”, and “not certain” bResponse options include “yes, “no”, and “not certain” cResponse options include “very likely”, “likely”, “unlikely”, “very unlikely”, and “not certain” dResponse options include “worse than severe acute respiratory syndrome (SARS)”, “similar to SARS”, “better than SARS”, and “not certain” eThe variable was dichotomized into “None” and “At least 1 item” in the logistic regression analysis Given a hypothetical scenario of two to three new human-to-human H5N1 cases being reported in Hong Kong, respondents were asked about their perception and perceived susceptibility to contracting H5N1 (yourself, your family members, the general public). Two dummy variables were also created: the number of types of anticipated behavioral response and the anticipated psychological response (items listed in Tables 2 and 3).
Table 2

Anticipated preventive behaviors, if two to three new human-to-human H5N1 cases were reported in Hong Kong

Anticipated preventive behaviorsSurvey 1Survey 2Survey 3Survey 4 Survey 5Survey 6 χ trend2 Survey 6 versus Survey 1
(Col%)(Col%)(Col%)(Col%)(Col%)(Col%) p AOR (95% CI)
Anticipated preventive behaviors (% likely/very likely)a
  Would always wear face-mask in public places73.860.865.370.452.643.7<0.0010.26 (0.20, 0.33)***
  Would increase frequency of hand-washing86.782.080.786.877.280.80.010.62 (0.45, 0.85)**
  Would declare at checkpoint if got flu87.179.082.983.480.588.10.291.05 (0.75, 1.49)
  Would reduce visiting other places78.969.672.382.267.258.5<0.0010.36 (0.28, 0.47)***
  Would wear face-mask when go out if got fever/cold92.485.390.090.086.692.00.800.89 (0.58, 1.37)
  Would not eat poultry63.845.055.854.250.335.2<0.0010.30 (0.24, 0.38)***
  Would avoid visiting hospitals71.072.070.374.070.160.7<0.0010.62 (0.49, 0.79)***
  Would avoid crowds79.774.275.780.470.266.1<0.0010.46 (0.35, 0.61)***
  Would avoid going out72.669.670.773.265.951.5<0.0010.39 (0.30, 0.50)***
  Would comply to quarantine policy88.388.683.192.090.296.8<0.0013.89 (2.37, 6.36)***
Total number of items with “likely/very likely” responses in the above 10 items
  None–8 items48.162.259.051.062.172.1<0.0010.34 (0.27, 0.44)***
  9–10 items51.937.841.049.037.927.9

* p < 0.05; ** p < 0.01; *** p < 0.001; a p value < 0.05 was taken as statistically significant

aResponse options include “very likely”, “likely”, “unlikely”, “very unlikely, and “not certain”

Table 3

Anticipated psychological responses, if two to three new human-to-human H5N1 cases were reported in Hong Kong

Anticipated psychological responsesSurvey 1Survey 2Survey 3Survey 4Survey 5Survey 6 χ trend2 Survey 6 vs. Survey 1
Col%Col%Col%Col%Col%Col% p AOR (95% CI)
Anticipated psychological responses (% likely/very likely)a
  Worry a lot about oneself being affected41.436.838.431.228.120.3<0.0010.36 (0.28, 0.46)***
  Worry a lot about family being affected52.942.643.038.037.921.5<0.0010.24 (0.19, 0.31)***
  Much panic19.718.620.110.812.97.1<0.0010.31 (0.22, 0.44)***
  Much upset14.916.418.78.29.46.5<0.0010.39 (0.27, 0.57)***
  Very emotionally distressed19.720.622.517.813.47.6<0.0010.32 (0.23, 0.46)***
  Perceived large impact on one’s daily life47.143.840.636.827.521.5<0.0010.30 (0.23, 0.38)***
Total number of items showing negative psychological responses in the above 6 items
  0–3 items80.783.480.187.888.493.2<0.0010.30 (0.21, 0.43)***
  4–6 items19.316.619.912.211.66.8

* p < 0.05; ** p < 0.01; *** p < 0.001; a p value < 0.05 was taken as statistically significant

aResponse options include “very likely”, “likely”, “unlikely”, “very unlikely, and “not certain”

Anticipated preventive behaviors, if two to three new human-to-human H5N1 cases were reported in Hong Kong * p < 0.05; ** p < 0.01; *** p < 0.001; a p value < 0.05 was taken as statistically significant aResponse options include “very likely”, “likely”, “unlikely”, “very unlikely, and “not certain” Anticipated psychological responses, if two to three new human-to-human H5N1 cases were reported in Hong Kong * p < 0.05; ** p < 0.01; *** p < 0.001; a p value < 0.05 was taken as statistically significant aResponse options include “very likely”, “likely”, “unlikely”, “very unlikely, and “not certain”

Statistical analyses

The chi-square test and chi-square test for trend were used. Adjusted odds ratios (AOR) and respective 95% confidence intervals (CI) comparing the last survey (conducted in February 2008) versus the first survey (conducted in November 2007), adjusting for socio-demographic characteristics, were derived. Two binary-dependent variables were created: the number of anticipated behavioral responses (<9 or ≥9 out of 10 of the behavioral responses) and the number of anticipated emotionally distressful responses (<4 or ≥4 out of 6 of the behavioral responses). Relatively high cut-off points were selected to identify those who responded strongly to the reporting of new H5N1 cases, as it is expected that the majority of the general public would make some types of responses as human H5N1 transmission is unusual. Univariate odds ratios were derived for the associations between various independent variables and these two dependent variables. Those variables that were significant in the univariate analyses were used as candidates of subsequent multivariate stepwise logistic regression analyses. Statistical analyses were performed using SPSS for Window ver. 14.0 (SPSS, Chicago, IL), and a p value < 0.05 was taken as statistically significant.

Results

Background characteristics

Of the respondents in the six surveys, about half were male (44.7–49.5%), around two-thirds were currently married (61.2–66.0%), around 40% were employed full-time, approximately two-thirds were aged ≥35 years (61.1–67.7%), and approximately 40% had attained post-secondary education (38.0–45.6%). With the exception of educational level (p = 0.04), none of these variables showed significant differences across the surveys (p > 0.05).

Perceptions related to H5N1

From survey 1 (S1) to survey 6 (S6), the prevalence of respondents incorrectly believing that human-to-human H5N1 virus could be spread via long-distance airborne transmission or by eating well-cooked poultry decreased [AOR = 0.41 and 0.31 respectively, p < 0.001; χtrend2 p < 0.001), while the prevalence of respondents believing that water sources (e.g., reservoirs) could transmit H5N1 increased (AOR = 1.36, p < 0.01; χtrend2 p < 0.001; Table 1). Clear and decreasing trends were observed for perceived susceptibility, including susceptibility of oneself, one’s family member, and the general public (AOR ranged from 0.29 to 0.43, p < 0.001; χtrend2 p < 0.001; Table 1). The prevalence of respondents anticipating the occurrence of a large-scale local outbreak also decreased from S1 to S6 (AOR = 0.39, p < 0.001; χtrend2 p < 0.001; Table 1). Over time, higher percentages of respondents believed that no effective drugs and no effective vaccines were available [AOR = 3.54 and 3.11 respectively, p < 0.001; χtrend2 p < 0.001; Table 1). About the same percentages of respondents believed that the government would be able to control a newly emerged human-to-human H5N1 epidemic (AOR = 1.24, p > 0.05). The prevalence of respondents perceiving that the adverse consequences of human-to-human H5N1 cases were worse than those of SARS decreased over time when the S1 and S6 results were compared (AOR = 0.27–0.52, p < 0.001; χtrend2 p < 0.001; Table 1). The percentage of respondents providing ≥4 item responses indicating that H5N1 could have a worse impact in comparison to SARS decreased significantly from 33.6 to 13.2% over time (Table 1).

Anticipated preventive behavioral and anticipated psychological responses related to mental distress in the event of two to three new human-to-human cases being reported in Hong Kong

A comparison of the response in S1 and S6 revealed statistically significant decreasing trends for seven of the ten items (AOR ranged from 0.26 to 0.62, p < 0.01; χtrend2 p < 0.05; Table 2). A statistically significant increasing trend was observed for the item “would comply to quarantine policy” (AOR = 3.89, p < 0.001; χtrend2 p < 0.01; Table 2). Over time, respondents anticipated a lower degree of emotional distress based on a comparison of the S1 and S6 data: all six items had p < 0.001 for the χtrend2 test, with the AOR ranging from 0.24 to 0.39 (Table 3). The percentage of respondents giving at least four (out of 6 items) responses related to emotional distress decreased from 19.3 to 6.8% over time (AOR = 0.30, p < 0.001).

Factors predicting a higher number of anticipated behavioral responses

The multivariate results of the pooled data (S1–S6) showed that those respondents who were not currently married were less likely than others to have reported a higher number (≥9) of anticipated preventive behavioral responses (multivariate OR = 0.57, p < 0.001; Table 4). The reverse was true for those who gave higher ratings (≥8) for emotional distress experienced during the SARS period, those with unconfirmed beliefs about modes of transmission (“water sources” and “‘eating well-cooked poultry meat”), those perceiving one’s family members would be ‘likely’ or ‘very likely’ to contract H5N1, those anticipating a large local outbreak in the case two to three new human-to-human H5N1 cases were detected in Hong Kong, those perceiving no effective drugs currently available, and those giving responses in at least one item indicating that H5N1 would have worse impacts than SARS (multivariate OR = 1.19–1.96, p < 0.05; Table 4). Participants of the later rounds of the survey (surveys 2, 3, 5, and 6) were also less likely than those of the baseline survey to have reported a higher number (≥9) of anticipated preventive behavioral responses (multivariate OR = 0.41–0.70, p < 0.01; Table 4).
Table 4

Associations between anticipated preventive behaviors, psychological responses, and studied variables listed in Tables 1 and 2

Associations Number of anticipated preventive behaviors ≥9 items (out of 10)—if two to three new human-to-human H5N1 cases were to be reported in Hong Konga Number of anticipated psychological responses ≥4 items (out of 6)—if two to three new human-to-human H5N1 cases were to be reported in Hong Kongb
Row (%)ORu ORm (95% CI)Row (%)ORu ORm (95% CI)
Round
  Survey 151.91.001.0019.31.001.00
  Survey 237.80.56***0.59 (0.45,0.77)***16.60.830.95 (0.67, 1.35)
  Survey 341.00.65**0.70 (0.54, 0.91)**19.91.041.16 (0.83, 1.64)
  Survey 449.00.890.93 (0.71,1.20)12.20.58**0.64 (0.44, 0.93)*
  Survey 537.90.57***0.65 (0.51, 0.82)***11.60.55***0.69 (0.49, 0.97)*
  Survey 627.90.36***0.41 (0.32, 0.54)***6.80.31***0.44 (0.30, 0.64)***
Gender
  Male38.41.0011.71.00ns
  Female41.01.1215.41.37**
Age groups (years)
  18–3433.91.00ns11.91.00ns
  35–6043.11.48**14.71.28*
Marital status
  Currently married44.21.001.0015.11.001.00
  Currently not married32.00.60***0.57 (0.49, 0.66)***11.00.69**0.72 (0.57, 0.90)**
Full-time employment
  Working full-time38.61.0012.71.001.00
  Else41.71.1415.21.23*1.26 (1.01, 1.57)*
Rating on emotional distress during the SARS epidemicc
  <837.91.001.0010.71.001.00
  ≥847.01.45***1.38 (1.16, 1.64)***25.02.79***2.73 (2.19, 3.41)***
Perceived modes of transmission
  Airborne (long-distance)
    No/not certain37.01.00ns10.61.001.00
    Yes43.81.33***18.01.85***1.28 (1.03, 1.58)*
  Water sources (e.g., reservoirs)
    No/not certain37.71.001.0011.11.001.00
    Yes42.11.21**1.19 (1.03, 1.38)*16.51.58***1.55 (1.26, 1.92)***
  Eating well-cooked poultry meat
    No/not certain37.31.001.0012.91.00ns
    Yes50.91.75***1.50 (1.25, 1.80)***17.11.39**
Perceived susceptibility to H5N1 infection
  Oneself
    Unlikely/very unlikely/not certain37.91.00ns11.01.00ns
    Likely/very likely47.41.47***24.82.68***
  One’s family
    Unlikely/very unlikely/not certain37.71.001.0010.91.001.00
    Likely/very likely48.91.59***1.27 (1.06, 1.52)*25.42.77***1.51(1.08, 2.11)*
  The general public
    Unlikely/very unlikely/not certain37.31.00ns10.41.001.00
    Likely/very likely48.21.57***24.42.77***1.43 (1.04, 1.97)*
Perceptions related to H5N1
  Anticipated a large local outbreak if two to three new H5N1 cases were to be reported in Hong Kong
    Unlikely/very unlikely/not certain34.81.001.009.71.001.00
    Likely/very likely55.92.38***1.96 (1.66, 2.32)***26.73.40***2.62 (2.10, 3.27)***
  Perceived that local government can control the epidemic if two to three new H5N1 cases were to be reported in Hong Kong
    No/not certain39.91.0018.71.001.00
    Yes39.71.0011.50.56***0.76 (0.61, 0.94)*
  No effective drugs currently available
    Disagree/not certain37.31.001.0012.61.00
    Agree41.21.18*1.25 (1.08, 1.45)**14.21.15
Perceived adverse consequences
  No. of items with “worse than SARS” responses in the 7 items listed in Table 2
    None32.31.001.008.41.001.00
    At least 1 item45.31.73***1.40 (1.21, 1.63)***17.52.30***1.65 (1.30, 2.09)***

ORu, Univariate odds ratio; ORm, odds ratio obtained from stepwise multivariate logistic regression analysis using univariately significant variables (with p < 0.05) as candidate variables; ns not significant in the multivariate analysis; –, univariately not significant

* p < 0.05; ** p < 0.01; *** p < 0.001; a p value < 0.05 was taken as statistically significant

aOut of the 10 items listed in Table 3

bOut of the 6 items listed in Table 4

cRespondents were asked to rate on a 1- to 10-point scale their level of emotional distress during the SARS epidemic in 2003

Associations between anticipated preventive behaviors, psychological responses, and studied variables listed in Tables 1 and 2 ORu, Univariate odds ratio; ORm, odds ratio obtained from stepwise multivariate logistic regression analysis using univariately significant variables (with p < 0.05) as candidate variables; ns not significant in the multivariate analysis; –, univariately not significant * p < 0.05; ** p < 0.01; *** p < 0.001; a p value < 0.05 was taken as statistically significant aOut of the 10 items listed in Table 3 bOut of the 6 items listed in Table 4 cRespondents were asked to rate on a 1- to 10-point scale their level of emotional distress during the SARS epidemic in 2003

Factors predicting a higher number of responses related to emotional distress

The multivariate results of the pooled data (S1–S6) showed that respondents of those who were not currently married and those who perceived that the local government would be able to control a new emerging H5N1 epidemic were less likely than others to have given a higher number (≥4) of answers indicating anticipated emotionally distressful responses (multivariate OR = 0.69 and 0.76, p < 0.05; Table 4). The reverse was true for those who were working full-time, those who gave higher ratings (≥8) on emotional distress experienced during the SARS period, those with unconfirmed beliefs about modes of transmission (“long-distance airborne transmission”, “water sources”), those perceiving higher susceptibility (“family members” and “the general public”), those anticipating a large local outbreak in case there were two to three new human-to-human H5N1 cases firstly detected in Hong Kong, and those giving at least one response indicating H5N1 would have worse impacts than SARS (multivariate OR = 1.26–2.73, p < 0.05; Table 4). Respondents in the later rounds of survey (surveys 4, 5, and 6) were also less likely than those of the baseline survey to have given a higher number (≥4) of answers indicating anticipated emotionally distressful responses (multivariate OR = 0.64, 0.69, and 0.44; p < 0.05; Table 4).

Discussion

During the 28-month study period, no human H5N1 cases were reported although some dead H5N1-infected birds were found in Hong Kong [6]. However, a human H5N1 case was reported in June, 2006 in Shenzhen, which is contiguous with Hong Kong [6, 15], and as of March 4, 2008 (S6), 30 (20 deaths) and 340 human H5N1 cases (215 deaths) had been reported in Mainland China and other countries, respectively [16]. Potential human-to-human transmissions had also been documented [17]. Therefore, the actual threat from H5N1 therefore did not dissipate during the study period. Extrapolating the answers of our respondents to the general population, however, it would appear that the general public in Hong Kong is responding rationally to this potential threat. Over time, high proportions of the general population worried less about a large-scale epidemic outbreak, showed increasing confidence in the governmental preparedness, and perceived lower susceptibility in contracting H5N1. In contrast, lower proportions of the study population believed that the human H5N1 would cause severe damage or would have unfavorable disease-related havoc (e.g., infectivity, fatality, epidemic duration), showed mental distress, or believed that the reporting of a few new human H5N1 cases would have a large impact on oneself. Compared to the baseline data, the prevalence of anticipated avoidance behaviors and the use of face-masks in public areas had also decreased by 20–30% at survey 6. Moreover, although the vast majority of the respondents at survey 6 believed that there was no effective treatment or vaccine for H5N1, neither of these two beliefs was associated with the mental distress dummy variable. All of these findings consistently suggest that the likelihood of community panic and irrational reactions at the initial phase of an H5N1 outbreak in Hong Kong has been decreasing. These trends mirrored the epidemiological data on inefficient human-to-human transmissions and reporting of geographically scattered human H5N1 cases. H5N1 has drawn less media attention, and reports on H5N1 have become less strident over time. Hong Kong was badly hit by the SARS epidemics, and these epidemics may have a lasting impact on community responses to emerging respiratory diseases. Our results show that emotional distress felt during the SARS period was strongly associated with anticipated behavioral and psychological distress. Moreover, despite the observed declining trend on perceived susceptibility, the majority of the public remained vigilant and would adopt a large number of public health measures in the case of a local small-scale human H5N1 outbreak; however, it is an interesting finding that the prevalence of such anticipated behaviors did not decline over time. Preventive behaviors were adopted by the public on a very broad scale during the SARS period, and since then, the local government keeps reminding the public about such measures through frequent broadcasting in the media and advertisements/posters at all train stations. Habits and norms may therefore have been formed in the local general population. The community preparedness for adopting preventive measures is therefore very high as the general public in Hong Kong had been well drilled during the SARS period. The encouraging results from our study do not mean that a new H5N1 outbreak in Hong Kong would not result in significant damage. The prevalence of face-mask use in public areas was 84.3% during the first 3 weeks of the SARS epidemic, while at the baseline study and survey 6, 73.8 and 43.7% of the participants, respectively, answered that they would adopt the same behavior in the case of a few new human H5N1 cases being reported in Hong Kong. The effectiveness of the face-mask in preventing influenza transmission is, however, controversial [18], although a local study showed that it did contribute to the control of SARS [19]. The psychological impact of a masked city may damage the economy and, in addition, relevant government guidelines on face-mask use in public venues would be required. Moreover, about half of the public would still show some form of avoidance behaviors, implying that severe economic loss and social distancing would still occur in the event of a human H5N1 outbreak. Continuous monitoring is warranted, as there is still a need to alleviate unnecessary economic damage. Although the prevalence of a number of misconceptions (such as those related to long-distance airborne transmissions and poultry meat) decreased over time, others, such as the one related to insect bites, were still highly prevalent. Beliefs in airborne and waterborne transmission were also independent predictors of anticipated mental distress responses, whereas the belief in waterborne transmission was significantly associated with the number of anticipated behavioral responses. Moreover, the general public greatly underestimated the fatality rate of H5N1. Unlike the clustering of SARS cases, reporting of human H5N1 cases tended to be sporadic. Rectification of this misconception on the risk of fatality may result in short-time community distress, but the public would be better prepared to face the reality in the long run. It is therefore necessary to rectify the aforementioned misconceptions so as to reduce distress. Behavioral intention, according to the Theory of Planned Behavior, is a strong predictor of actual behavior [20]. The study reported here is unique in that it investigated—over a relatively long period of time—anticipated responses to an emerging infectious disease. Continuous monitoring will be conducted in future studies by our research team. The serial cross-sectional surveys reported here as well as studies yet to be conducted will serve a natural experiment to investigate whether anticipated responses toward an emerging infectious disease are translated into actual responses. This is a novel approach in this field of study. The study has some limitations. First, it comprised serial cross-sectional studies rather than a single cohort study. Despite the noted advantages of cohort studies, learning effects between six identical surveys in a cohort study would pose a major disadvantage that may limit the validity of the cohort study. Despite the fact that residents of Hong Kong without fixed-lines at home were not covered in the telephone surveys, over 95% of local households in Hong Kong do have a telephone. Although self-reported responses may be slightly biased from social desirability, general trends in the data should still be valid. The response rates were modest but comparable to those of similar local studies [12–14, 21, 22]. Over time, there was a lack of significant changes as there were no human cases reported in Hong Kong, while such cases were reported intermittently in other countries. It should also be pointed out that while the declines from survey 1 to survey 5 were, in general, consistently observed, the change at survey 6 tended to be larger than previous changes. There is no particular explanation for these larger changes, although it can be speculated that by the end of the study period, H5N1 had received very little media attention for a relatively long time. Further research may try to quantify the media effect. In conclusion, the encouraging news is that the general public may be aligning their responses to H5N1 with epidemiological evidence. However, issues, including misconceptions on face-mask use that may not be necessary and avoidance behaviors, are still of concern. It should be noted that the clinical outcome of the first few new local human H5N1 cases (e.g., fatality rate) may change the public’s perceptions overnight. The co-existence of human H5N1 cases, H1N1 cases, or the return of SARS may further complicate the response of the community. Ongoing monitoring surveys that capture responses before and after the emergence of new cases are thereby warranted. Further studies should also investigate the impact of the community responses to H1N1, as monitoring community responses is part of the preparedness to emerging infectious diseases.
  13 in total

1.  The relationship between condom use, sexually transmitted diseases, and location of commercial sex transaction among male Hong Kong clients.

Authors:  Joseph T Lau; Amy S Tang; H Y Tsui
Journal:  AIDS       Date:  2003-01-03       Impact factor: 4.177

2.  Perceptions about status and modes of H5N1 transmission and associations with immediate behavioral responses in the Hong Kong general population.

Authors:  Joseph T F Lau; Hiyi Tsui; Jean H Kim; Sian Griffiths
Journal:  Prev Med       Date:  2006-07-24       Impact factor: 4.018

3.  What causes H5N1 avian influenza? Lay perceptions of H5N1 aetiology in South East and East Asia.

Authors:  Q Y Liao; W W T Lam; V T Dang; C Q Jiang; V Udomprasertgul; R Fielding
Journal:  J Public Health (Oxf)       Date:  2009-05-07       Impact factor: 2.341

4.  Positive association between gastro-oesophageal reflux disease and irritable bowel syndrome in a Chinese population.

Authors:  T K Cheung; K F Lam; W H C Hu; C L K Lam; W M Wong; W M Hui; K C Lai; S K Lam; B C Y Wong
Journal:  Aliment Pharmacol Ther       Date:  2007-05-01       Impact factor: 8.171

5.  Avian influenza in Hong Kong 1997-2002.

Authors:  L D Sims; T M Ellis; K K Liu; K Dyrting; H Wong; M Peiris; Y Guan; K F Shortridge
Journal:  Avian Dis       Date:  2003       Impact factor: 1.577

6.  Probable limited person-to-person transmission of highly pathogenic avian influenza A (H5N1) virus in China.

Authors:  Hua Wang; Zijian Feng; Yuelong Shu; Hongjie Yu; Lei Zhou; Rongqiang Zu; Yang Huai; Jie Dong; Changjun Bao; Leying Wen; Hong Wang; Peng Yang; Wei Zhao; Libo Dong; Minghao Zhou; Qiaohong Liao; Haitao Yang; Min Wang; Xiaojun Lu; Zhiyang Shi; Wei Wang; Ling Gu; Fengcai Zhu; Qun Li; Weidong Yin; Weizhong Yang; Dexin Li; Timothy M Uyeki; Yu Wang
Journal:  Lancet       Date:  2008-04-08       Impact factor: 79.321

7.  Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62.

Authors:  J T F Lau; X Yang; H Tsui; J H Kim
Journal:  J Epidemiol Community Health       Date:  2003-11       Impact factor: 3.710

8.  Avian influenza risk perception, Hong Kong.

Authors:  Richard Fielding; Wendy W T Lam; Ella Y Y Ho; Tai Hing Lam; Anthony J Hedley; Gabriel M Leung
Journal:  Emerg Infect Dis       Date:  2005-05       Impact factor: 6.883

9.  Perceptions related to human avian influenza and their associations with anticipated psychological and behavioral responses at the onset of outbreak in the Hong Kong Chinese general population.

Authors:  Joseph T F Lau; Jean H Kim; Hiyi Tsui; Sian Griffiths
Journal:  Am J Infect Control       Date:  2007-02       Impact factor: 2.918

10.  SARS transmission, risk factors, and prevention in Hong Kong.

Authors:  Joseph T F Lau; Hiyi Tsui; Mason Lau; Xilin Yang
Journal:  Emerg Infect Dis       Date:  2004-04       Impact factor: 6.883

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  14 in total

1.  Impacts of anxiety and socioeconomic factors on mental health in the early phases of the COVID-19 pandemic in the general population in Japan: A web-based survey.

Authors:  Miwako Nagasu; Kaori Muto; Isamu Yamamoto
Journal:  PLoS One       Date:  2021-03-17       Impact factor: 3.240

2.  Network-Based Online Survey Exploring Self-Reported Depression Among University and College Students During the Early Days of the COVID-19 Outbreak.

Authors:  Yurong Jing; Wantong Han; Yali Wang; Jiao Zhang; Wenzhe Qin; Xiang Jing; Aimin Niu; Lingzhong Xu
Journal:  Front Psychiatry       Date:  2021-05-13       Impact factor: 4.157

3.  Prevalence of seasonal influenza vaccination and associated factors in people with chronic diseases in Hong Kong.

Authors:  H Y Tsui; J T F Lau; C Lin; K C Choi
Journal:  Epidemiol Infect       Date:  2012-04-23       Impact factor: 4.434

4.  Knowledge, attitudes, and practices of Hong Kong population towards human A/H7N9 influenza pandemic preparedness, China, 2014.

Authors:  Emily Y Y Chan; Calvin K Y Cheng; Greta Tam; Zhe Huang; Poyi Lee
Journal:  BMC Public Health       Date:  2015-09-22       Impact factor: 3.295

5.  A Meta-Analysis of the Association between Gender and Protective Behaviors in Response to Respiratory Epidemics and Pandemics.

Authors:  Kelly R Moran; Sara Y Del Valle
Journal:  PLoS One       Date:  2016-10-21       Impact factor: 3.240

6.  The psychological distress and coping styles in the early stages of the 2019 coronavirus disease (COVID-19) epidemic in the general mainland Chinese population: A web-based survey.

Authors:  Huiyao Wang; Qian Xia; Zhenzhen Xiong; Zhixiong Li; Weiyi Xiang; Yiwen Yuan; Yaya Liu; Zhe Li
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

7.  Psychological distress among older adults during COVID-19 pandemic: Prevalence and associated factors.

Authors:  Doaa El Sayed Fadila; Fatma Magdy Ibrahim; Abdel-Hady El-Gilany
Journal:  Geriatr Nurs       Date:  2021-06-18       Impact factor: 2.361

8.  Economic epidemiology of avian influenza on smallholder poultry farms.

Authors:  Maciej F Boni; Alison P Galvani; Abraham L Wickelgren; Anup Malani
Journal:  Theor Popul Biol       Date:  2013-10-23       Impact factor: 1.570

9.  Low coverage of influenza vaccination among Chinese children aged 12-23 months: Prevalence and associated factors.

Authors:  Joseph T F Lau; Catalina S M Ng; Anise M S Wu; Yee Ling Ma; Mason M C Lau
Journal:  PLoS One       Date:  2018-10-10       Impact factor: 3.240

10.  Comparison of Prevalence and Associated Factors of Anxiety and Depression Among People Affected by versus People Unaffected by Quarantine During the COVID-19 Epidemic in Southwestern China.

Authors:  Lei Lei; Xiaoming Huang; Shuai Zhang; Jinrong Yang; Lin Yang; Min Xu
Journal:  Med Sci Monit       Date:  2020-04-26
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