Literature DB >> 28418300

Population Responses during the Pandemic Phase of the Influenza A(H1N1)pdm09 Epidemic, Hong Kong, China.

Nelson C Y Yeung, Joseph T F Lau, Kai Chow Choi, Sian Griffiths.   

Abstract

During August 2009-July 2010, we conducted 7 longitudinal telephone surveys among 503 adults in Hong Kong, China, to explore changes in their behavioral and psychological responses to the influenza A(H1N1)pdm09 virus epidemic. Trends were examined using generalized estimating equations models. Findings showed that responses varied with the course of the pandemic.

Entities:  

Keywords:  China; H1N1; Hong Kong; behavioral responses; epidemic; influenza; influenza A(H1N1)pdm09 virus; longitudinal survey; outbreak; pandemic; perceptions; population responses; psychological responses; respiratory infections; swine flu; viruses

Mesh:

Year:  2017        PMID: 28418300      PMCID: PMC5403031          DOI: 10.3201/eid2305.160768

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


On June 11, 2009, the World Health Organization declared the influenza A(H1N1)pdm09 (pH1N1) virus outbreak a pandemic (). Previous studies have investigated community responses to the pandemic in different countries during early stages of the epidemic (–). The studies investigated persons’ risk perceptions and knowledge related to the virus, perceived efficacy of preventive measures, and psychological and behavioral responses. However, because of intersample variations, these cross-sectional studies did not capture within-person changes. We conducted a longitudinal cohort study to investigate changes in responses among the general Hong Kong, China, population during the pH1N1 pandemic.

The Study

A cohort sample of 18- to 60-year-old adults in Hong Kong participated in 7 rounds of telephone surveys during August 2009–July 2010, which covered almost the entire pH1N1 pandemic period in Hong Kong. At baseline, we invited 677 adults to participate; 503 (74.3%) consented and completed the survey (Technical Appendix Table 1). We measured the following variables: knowledge about the modes of pH1N1 virus transmission; risk perceptions associated with the virus (perceived susceptibility to and severity of infection); perceived efficacy and use of preventive measures (e.g., handwashing, using a facemask); psychological responses (worry about infection and emotional distress); and evaluations of the government’s performance in pandemic control. Sample sizes for surveys 2–7 ranged from 452 to 481, yielding retention rates of 89.8%–95.6%. Most participants were women (57.9%), 40–60 years of age (55.8%), employed full time (55.9%), and married (65%). Sex and age distributions were comparable to those in the local census data (). We aimed to determine whether there were overall linear trends in participants’ perceptions, psychological responses, and behavioral responses to the pandemic. We examined linear trends for these variables across the 7 time points by using generalized estimating equations (GEE) models. GEE models not only account for intracorrelated repeated measures data but also fit various data types using appropriate link functions. The analyses were conducted using PROC GENMOD (SAS Institute, Cary, NC, USA); 2-sided p<0.05 was considered significant. Over time, >85% of the participants used a face mask and immediately visited a doctor when experiencing influenza-like symptoms. More than 50% of the participants washed their hands >10 times every day throughout the survey period (p>0.05). As the pandemic progressed, a decreasing percentage of participants wore masks in public areas; avoided touching their mouth, nose, and eyes; took antiviral drugs; and avoided crowded places (p<0.001) (Technical Appendix Table 2). Percentages of participants feeling worried, depressed, or emotionally disturbed about pH1N1 virus decreased over time (p<0.001) (Technical Appendix Table 3). Over time, a decreasing percentage of participants recognized that touching infected persons or contaminated objects could result in virus transmission (p<0.001). Throughout the study period, a consistently high percentage of participants (>92%) recognized that the virus could be transmitted via respiratory droplets. Misconceptions about possible transmission through insect bites (26.1%) and water sources (34.5%) were prevalent. The percentage of participants reporting at least 1 misconception was stable over time (p>0.05). A consistently high percentage (>90%) of participants believed that using face masks in public areas, washing hands frequently, and avoiding crowded places could effectively prevent the spread of pH1N1 virus (p>0.05). The percentage of participants believing that pH1N1 virus would be more harmful than seasonal influenza in terms of fatality and bodily damage increased over time (p<0.001). The percentages of participants who believed the population was highly susceptible to pH1N1virus infection and who perceived a high chance of having a large-scale local outbreak in the coming year dropped significantly (p<0.001), but some fluctuations were observed; for example, the percentage peaked during survey round 2 (around the September influenza season). Throughout the study period, ≈12%–21% of the participants gave a failing score (<5 on a 0- to 10-point scale) for the government’s overall performance in controlling the pandemic (p>0.05). However, during survey rounds 2–7, an increasing percentage of participants believed in the government’s ability to control the pandemic (p<0.001) (online Technical Appendix). The percentage of participants who believed that Hong Kong would not have enough vaccine or medication to deal with the pandemic decreased over time (p<0.001).

Conclusions

This study investigated changes in community perceptions over the course of the pH1N1 pandemic in Hong Kong. Findings were highly comparable to those from other local cross-sectional surveys (,) and a systematic review (). Knowledge regarding preventive measures and adherence to such measures was, in general, higher among our participants than among the general population in other countries (e.g., Australia, India, and the Netherlands) (–). The prevalence of misconceptions about some incorrect modes of transmission (e.g., insect bites) gradually declined. However, ≈50% of participants still held at least 1 of the 4 misconceptions regarding transmission (i.e., airborne transmission over a long distance and transmission through insect bites, water sources, and well-cooked pork). Furthermore, over time, a lower percentage of participants avoided touching their eyes, nose, and mouth to prevent virus transmission. A 2015 systematic review suggested that health authorities should provide more updated information about the virus (). We also recommend using health campaigns to increase public awareness about different routes of pH1N1 virus transmission. Perceived severity of pH1N1 virus infection decreased over time, which may partially explain the decline in distress and avoidance behaviors; this pattern was also observed in a recent review (). However, an increasing proportion of participants believed that, compared with seasonal influenza, pH1N1 resulted in more deaths and more severe body damage. Perceived susceptibility to infection declined substantially as the epidemic progressed, suggesting that the public gradually perceived fewer risks from pH1N1 virus. Avoidance behaviors and use of facemasks in the absence of influenza-like symptoms became less prevalent over time, similar to a trend seen in Malaysia (). Mental distress among persons in Hong Kong was lower during the pH1N1 pandemic than during the SARS (severe acute respiratory syndrome) pandemic (), possibly due to the milder consequences of pH1N1 infection. Persons in Hong Kong seemed to remain rational during the pandemic, thereby avoiding possible pandemic-associated economic threats. Public support for the government declined over time. During survey round 5, a total of 20.6% of the participants gave a failing score to the government’s performance, and 13.5% perceived that the government would not be able to control the pandemic. The poll was split as to whether the government should use the same response for pH1N1 influenza and seasonal influenza. Our findings suggest that the public should be advised of the pros and cons of pH1N1 control policies; a watchful step-down may be better accepted if the policies are understood. This study has limitations. First, telephone surveys may be subject to self-selection bias. However, participants’ demographics were comparable to those in local census data (). Second, Hong Kong’s unique experience with the SARS outbreak may have influenced the population’s response to the pH1N1 pandemic; thus, our findings may not be fully generalizable to other countries. Third, we treated time as a continuous variable in the GEE models. Ideally, polynomials should be added to the linear time variable; however, given the small number of time points and absence of theoretical shapes, that was not feasible. Our findings provide valuable information regarding overall linear trends and changes in community responses toward the pH1N1 pandemic among a Hong Kong cohort. These findings should help inform other countries in formulating appropriate pandemic control plans for influenza and other emerging infectious diseases.

Technical Appendix

Detailed methodology and findings for a study of population responses during the pandemic phase of the influenza A(H1N1)pdm09 epidemic, Hong Kong, China.
  11 in total

1.  Community psychological and behavioral responses through the first wave of the 2009 influenza A(H1N1) pandemic in Hong Kong.

Authors:  Benjamin J Cowling; Diane M W Ng; Dennis K M Ip; Quiyan Liao; Wendy W T Lam; Joseph T Wu; Joseph T F Lau; Sian M Griffiths; Richard Fielding
Journal:  J Infect Dis       Date:  2010-09-15       Impact factor: 5.226

2.  The community's attitude towards swine flu and pandemic influenza.

Authors:  Holly Seale; Mary-Louise McLaws; Anita E Heywood; Kirsten F Ward; Chris P Lowbridge; Debbie Van; Jan Gralton; C Raina MacIntyre
Journal:  Med J Aust       Date:  2009-09-07       Impact factor: 7.738

3.  Public knowledge, attitude and behavioural changes in an Indian population during the Influenza A (H1N1) outbreak.

Authors:  Shivlingesh Krishnappa Kamate; Anil Agrawal; Harshvardhan Chaudhary; Karanprakash Singh; Prashant Mishra; Kaliash Asawa
Journal:  J Infect Dev Ctries       Date:  2009-11-30       Impact factor: 0.968

4.  Widespread public misconception in the early phase of the H1N1 influenza epidemic.

Authors:  Joseph T F Lau; Sian Griffiths; Kai Chow Choi; Hi Yi Tsui
Journal:  J Infect       Date:  2009-06-17       Impact factor: 6.072

Review 5.  Perceptions and behavioral responses of the general public during the 2009 influenza A (H1N1) pandemic: a systematic review.

Authors:  Marloes Bults; Desirée J M A Beaujean; Jan Hendrik Richardus; Hélène A C M Voeten
Journal:  Disaster Med Public Health Prep       Date:  2015-04       Impact factor: 1.385

6.  Avoidance behaviors and negative psychological responses in the general population in the initial stage of the H1N1 pandemic in Hong Kong.

Authors:  Joseph T F Lau; Sian Griffiths; Kai Chow Choi; Hi Yi Tsui
Journal:  BMC Infect Dis       Date:  2010-05-28       Impact factor: 3.090

7.  Perceived risk, anxiety, and behavioural responses of the general public during the early phase of the Influenza A (H1N1) pandemic in the Netherlands: results of three consecutive online surveys.

Authors:  Marloes Bults; Desirée Jma Beaujean; Onno de Zwart; Gerjo Kok; Pepijn van Empelen; Jim E van Steenbergen; Jan Hendrik Richardus; Hélène Acm Voeten
Journal:  BMC Public Health       Date:  2011-01-03       Impact factor: 3.295

8.  Anxiety, worry and cognitive risk estimate in relation to protective behaviors during the 2009 influenza A/H1N1 pandemic in Hong Kong: ten cross-sectional surveys.

Authors:  Qiuyan Liao; Benjamin J Cowling; Wendy W T Lam; Diane M W Ng; Richard Fielding
Journal:  BMC Infect Dis       Date:  2014-03-27       Impact factor: 3.090

9.  Prevalence of preventive behaviors and associated factors during early phase of the H1N1 influenza epidemic.

Authors:  Joseph T F Lau; Sian Griffiths; Kai-Chow Choi; Chunqing Lin
Journal:  Am J Infect Control       Date:  2010-06       Impact factor: 2.918

10.  Public perceptions, anxiety, and behaviour change in relation to the swine flu outbreak: cross sectional telephone survey.

Authors:  G James Rubin; Richard Amlôt; Lisa Page; Simon Wessely
Journal:  BMJ       Date:  2009-07-02
View more
  16 in total

1.  Coronavirus disease (COVID-19) outbreak provides a unique platform to review behavioral changes in Iran.

Authors:  Mahdi Naeim
Journal:  Asian J Psychiatr       Date:  2020-04-22

2.  The Effect of COVID-19 on Youth Mental Health.

Authors:  Leilei Liang; Hui Ren; Ruilin Cao; Yueyang Hu; Zeying Qin; Chuanen Li; Songli Mei
Journal:  Psychiatr Q       Date:  2020-09

3.  Anxiety levels, precautionary behaviours and public perceptions during the early phase of the COVID-19 outbreak in China: a population-based cross-sectional survey.

Authors:  Mengcen Qian; Qianhui Wu; Peng Wu; Zhiyuan Hou; Yuxia Liang; Benjamin J Cowling; Hongjie Yu
Journal:  BMJ Open       Date:  2020-10-08       Impact factor: 2.692

4.  Knowledge, attitudes and mental health of university students during the COVID-19 pandemic in China.

Authors:  Ruichen Jiang
Journal:  Child Youth Serv Rev       Date:  2020-09-24

5.  Is Higher Subjective Fear Predictive of Post-Traumatic Stress Symptoms in a Sample of the Chinese General Public?

Authors:  Xin Guo; Tuanjie Liu; Chenqi Xing; Yan Wang; Zhilei Shang; Luna Sun; Yanpu Jia; Lili Wu; Xiong Ni; Weizhi Liu
Journal:  Front Psychiatry       Date:  2021-05-20       Impact factor: 4.157

6.  Development and validation of the conservation of resources scale for COVID-19 in the Chinese adult general population.

Authors:  Yanqiu Yu; Joseph T F Lau; Mason M C Lau
Journal:  Curr Psychol       Date:  2021-06-17

7.  Impact of Ebola experiences and risk perceptions on mental health in Sierra Leone, July 2015.

Authors:  Mohamed F Jalloh; Wenshu Li; Rebecca E Bunnell; Kathleen A Ethier; Ann O'Leary; Kathy M Hageman; Paul Sengeh; Mohammad B Jalloh; Oliver Morgan; Sara Hersey; Barbara J Marston; Foday Dafae; John T Redd
Journal:  BMJ Glob Health       Date:  2018-03-17

8.  Complication of Late Presenting STEMI Due to Avoidance of Medical Care During the COVID-19 Pandemic.

Authors:  Diana Otero; Narayana Sarma V Singam; Neil Barry; Prafull Raheja; Alisya Solankhi; Naresh Solankhi
Journal:  JACC Case Rep       Date:  2020-06-04

9.  Changes in psychological wellbeing, attitude and information-seeking behaviour among people at the epicentre of the COVID-19 pandemic: a panel survey of residents in Hubei province, China.

Authors:  Xi Chen; Haiyan Gao; Yuchun Zou; Fen Lin
Journal:  Epidemiol Infect       Date:  2020-09-02       Impact factor: 2.451

10.  Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study.

Authors:  Yanqiu Yu; Rui She; Sitong Luo; Meiqi Xin; Lijuan Li; Suhua Wang; Le Ma; Fangbiao Tao; Jianxin Zhang; Junfeng Zhao; Liping Li; Dongsheng Hu; Guohua Zhang; Jing Gu; Danhua Lin; Hongmei Wang; Yong Cai; Zhaofen Wang; Hua You; Guoqing Hu; Joseph Tak-Fai Lau
Journal:  JMIR Ment Health       Date:  2021-02-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.