| Literature DB >> 16632071 |
Abstract
A comparative analysis of the 2002-2003 infectious disease outbreak, severe acute respiratory syndrome (SARS), and the HIV/AIDS epidemic that has affected the world over the past two decades reveals the significant role of socio-cultural beliefs and attitudes in the shaping of people's lifestyles and approaches to the control and prevention of epidemics. The main research question is: what can we learn from the SARS experience about effective prevention of HIV/AIDS? The sources of data include population figures on the development of these epidemics and findings from two sociological studies of representative samples of Singapore's multi-ethnic population. The comparative study illustrates the impact of cultural beliefs and attitudes in shaping the public image of these two different infectious diseases; the relevance of public image of the disease for effective prevention and control of epidemics.Entities:
Mesh:
Year: 2006 PMID: 16632071 PMCID: PMC7132530 DOI: 10.1016/j.healthpol.2006.03.002
Source DB: PubMed Journal: Health Policy ISSN: 0168-8510 Impact factor: 2.980
Epidemiological situation of HIV/AIDS in selected East Asian and Southeast Asian countries, 2004a
| Country | Estimated number of people infected with HIV as of December 2003 | Proportion of total adults 15–49 affected (low-high estimate) | Estimated number of deaths due to AIDS as of December 2003 (low-high estimate) | Category of people with highest HIV prevalence in 2003 |
|---|---|---|---|---|
| China | 840000 | 0.10–0.20 | 21000–75000 | IDUs (44–85%) |
| Thailand | 570000 | 0.80–2.80 | 34000–97000 | SWs (33%) |
| Vietnam | 220000 | 0.20–0.80 | 4500–16000 | IDUs (63%) |
| Indonesia | 110000 | 0.01–0.20 | 1100–4100 | IDUs (34%) |
| Malaysia | 52000 | 0.20–0.70 | 1000–3600 | NA |
| Japan | 12000 | 0.01–0.09 | 400–900 | SWs |
| Philippines | 9000 | 0.01–0.09 | <500 | SWs |
| Korea (Republic of) | 8300 | 0.01–0.09 | <200 | SWs |
| Singapore | 4100 | 0.10–0.50 | <200 | NA |
Source: figures reported by the World Health Organization for 2003 by country in WHO [44].
Country-specific data reported by WHO indicate three main categories of infected adults: injecting drug users (IDU), sex workers (SWs), and people infected through blood transfusions (BTs).
The rate of SWs’ infection for Japan is not available but WHO reports that in 2000, 78% of newly diagnosed cases were acquired through sexual contact.
The rate of SWs’ infection for Philippines is not available. However, WHO estimates that 90% of HIV infections are sexually transmitted and the prevalence of sexually transmitted diseases among SWs is around 40%.
The rate of SWs’ infection for South Korea is not available. However, WHO estimates that 96% of HIV infections are sexually transmitted.
Worldwide epidemiological situation of SARS, 2002–2003a
| Country | Cumulative number of cases | Number of deaths | Date onset | |
|---|---|---|---|---|
| First probable case | Last probable case | |||
| China | 5327 | 349 | 16 November 2002 | 3 June 2003 |
| Hong Kong | 1755 | 299 | 15 February 2003 | 31 May 2003 |
| Taiwan | 346 | 37 | 25 February 2003 | 15 June 2003 |
| Canada | 251 | 43 | 23 February 2003 | 12 June 2003 |
| Singapore | 238 | 33 | 25 February 2003 | 5 May 2003 |
| Vietnam | 63 | 5 | 23 February 2003 | 14 April 2003 |
| United States | 27 | 0 | 24 February 2003 | 13 July 2003 |
| Philippines | 14 | 2 | 25 February 2003 | 5 May 2003 |
| Other countries | 75 | 6 | 26 February 2003 | 1 April 2003 |
| Total | 8096 | 774 | ||
Source: World Health Organization [45].
Only two locations in Canada had local-transmission cases: the Greater Toronto Area and New Westminster in the Greater Vancouver Area (WHO [46]).
All the 27 cases reported in the United States were imported cases.
In the Philippines, all reported local-transmission cases were from Manila (WHO [46]).
Twenty-one other countries had from 1 to 9 SARS cases: Australia, Macao, France, Germany, India, Indonesia, Italy, Kuwait, Malaysia, Mongolia, New Zealand, Ireland, South Korea, Romania, Russia, South Africa, Spain, Sweden, Switzerland, Thailand, and United Kingdom.
HIV/AIDS study variables
| Characteristics | Number | % |
|---|---|---|
| Total sample | 660 | 100.0 |
| Independent variables | ||
| Socio-demographic factors | ||
| Gender | ||
| Male | 396 | 60.0 |
| Female | 264 | 40.0 |
| Age | ||
| 49 years old or younger | 493 | 74.7 |
| 50 years old or older | 167 | 25.3 |
| Ethnicity | ||
| Indian | 65 | 10.0 |
| Malay | 174 | 26.4 |
| Chinese | 418 | 63.3 |
| Marital status | ||
| Single | 178 | 27.0 |
| Married | 449 | 68.0 |
| Divorced/separated/widowed | 33 | 5.0 |
| Religion | ||
| Muslim | 189 | 28.6 |
| Christian | 79 | 12.0 |
| Other religion | 392 | 59.4 |
| Social class factors | ||
| Occupation | ||
| Service sector occupation | 101 | 15.3 |
| Other occupation | 559 | 84.7 |
| Personal income | ||
| Below S$ 500 per month | 469 | 71.0 |
| S$ 500 or higher per month | 191 | 29.0 |
| Education | ||
| <11 years of education | 578 | 87.6 |
| 11 years or more | 82 | 12.4 |
| Attitudinal factors | ||
| Do you usually worry about falling sick? | ||
| No | 463 | 70.2 |
| Yes | 197 | 29.8 |
| Future orientation | ||
| Low (below average) | 318 | 48.2 |
| High (above average) | 342 | 51.8 |
| Sense of control over one's life | ||
| Low (below average) | 299 | 45.3 |
| High (above average) | 361 | 54.7 |
| Life satisfaction | ||
| Low (below average) | 231 | 35.0 |
| High (above average) | 429 | 65.0 |
| Perceived severity of AIDS | ||
| Low | 95 | 14.4 |
| High | 565 | 85.6 |
| Perceived susceptibility to HIV/AIDS | ||
| Low | 452 | 68.5 |
| High | 208 | 31.5 |
| Belief in effective HIV/AIDS prevention | ||
| No | 113 | 17.0 |
| Yes | 547 | 83.0 |
| Dependent variable | ||
| Perception of people living with HIV/AIDS (perceived stigma) | ||
| “Deviants” | 171 | 26.0 |
| “Risk-takers” | 376 | 57.0 |
| “Victims” | 37 | 5.5 |
| No label attached | 76 | 11.5 |
The details of these scales are given in Table A.3. The scale scores were dichotomized based on the mean score as shown here, to meet the requirements of logistic regression analysis.
Measurement of attitudes and summary statistic—HIV/AIDS study
| Measurements | Summary statistics |
|---|---|
| Internal-external locus of control (personal control over own life) | |
| Sometimes I feel I don’t have enough control over the direction that my life is taking | Mean, 19.5; S.D., 3.59; sample size, 660; reliability coefficient Cronbach's alpha = 0.612 |
| In my case, getting what I want has little or nothing to do with luck | |
| What happens to me is my own doing | |
| It is not always wise to plan too far ahead because many things turn out to be a matter of good or bad fortune anyway | |
| When I make plans, I am almost certain I can make them work | |
| Many times I feel I feel that I have little influence over the things that happen to me | |
| Response categories: strongly agree; agree; undecided; disagree; strongly disagree | |
| Original scores range from 1 to 5, with higher scores indicating higher internal (personal) control over one's life. A dichotomized version was used for logistic regression (low, below 19.5; high, 19.5) | |
| | |
| Life satisfaction scale | |
| I feel I have less worries in my life than most people I know | Mean, 9.84; S.D., 2.1; sample size, 660; reliability coefficient Cronbach's alpha = 0.479 |
| I don’t seem to have enough time to relax nowadays | |
| It is harder for me to cope with life's pressures than for most of the people I know | |
| Response categories: strongly agree; agree; undecided; disagree; strongly disagree | |
| Original scores range from 1 to 5, with higher scores indicating higher life satisfaction. A dichotomized version was used for logistic regression (low, below 9.84; high, 9.84 and higher) | |
| | |
| Future-orientation | |
| With things as they are today, any intelligent person ought to think about the present and not worry about the future | Mean, 14.5; S.D., 2.45; sample size, 660; reliability coefficient Cronbach's alpha = 0.595 |
| Any person with the ability and willingness to plan for the future has a good chance of being successful | |
| Problems can always be solved if one has prepared for eventualities | |
| Planning for the future is a waste of time because things are always changing | |
| Response categories: strongly agree; agree; undecided; disagree; strongly disagree | |
| Original scores range from 1 to 5, with higher scores indicating higher future-orientation. A dichotomized version was used for logistic regression (low, below 14.6; high, 14.6 and higher) | |
| | |
| Perceived severity of AIDS | |
| When you think about AIDS, how serious do you feel it is? For example, do you believe that AIDS is | Mean, 0.856; S.D., 0.351; sample size, 660 |
| | |
| | |
| | |
| | |
| Scores range from 4 (very serious) to 1 (not serious at all). For the logistic regression analysis these response categories were dichotomized: (1) “very serious” vs. (0) all other responses | |
| Perceived susceptibility to HIV/AIDS | |
| “AIDS doesn’t happen to people like me” | Mean, 0.315; S.D., 0.464; sample size, 660 |
| This statement is part of a series involving cancer, heart disease and AIDS. Respondents were asked to tell the interviewer if they strongly agree (SA), agree (A), disagree (D) or strongly disagree (SD) with each statement | |
| Scores range from 1 (SA) to 5 (SD), with higher scores indicating higher perceived susceptibility | |
| For the logistic regression analysis these response categories were dichotomized: (1) “SA/A” vs. (0) all other responses | |
| Belief in effective HIV/AIDS prevention | |
| “Is there an effective way of protecting yourself from AIDS”? | Mean, 0.828; S.D., 0.376; sample size, 660 |
| The responses were scored as “YES” (1) vs. “NO” (0) | |
| Dependent variable: perception of people living with HIV/AIDS | |
| “What kind of people do you think are most likely to get HIV/AIDS?” During the personal interviews this open-ended question was preceded by identical questions for cancer and heart disease. Factor analysis of the responses revealed three categories or ‘images’: (a) “victims” of “fate” or “bad luck” or accidental infection; (b) “risk-takers”: people who engage in activities that put them at risk of infection such as having multiple sexual partners or procuring the services of commercial sex workers; (c) people who engage in ‘deviant’ activities such as commercial sex workers and injecting drug users who exchange infected needles. A fourth category comprises a small group of respondents who did not label people living with HIV/AIDS. Each of the four categories is examined using separate logistic regression analyses (see | |
SARS study variables
| Characteristics | Number | % |
|---|---|---|
| Total sample | 1201 | 100.0 |
| Independent variables | ||
| Socio-demographic factors | ||
| Gender | ||
| Male | 599 | 50.0 |
| Female | 602 | 50.0 |
| Age | ||
| 59 years old or younger | 1056 | 88.0 |
| 60 years old or older | 144 | 12.0 |
| Ethnicity | ||
| Indian | 82 | 7.0 |
| Malay | 172 | 14.0 |
| Chinese | 900 | 75.0 |
| Marital status | ||
| Single | 314 | 26.0 |
| Ever-married | 887 | 74.0 |
| Place of birth | ||
| Singapore | 947 | 78.9 |
| Other | 254 | 21.1 |
| Preferred language | ||
| Mandarin | 326 | 27.0 |
| Other | 875 | 73.0 |
| Social class | ||
| Educational level | ||
| Primary six or lower | 230 | 19.2 |
| Secondary one or higher | 971 | 80.8 |
| Personal monthly income | ||
| Below S$ 1000 | 495 | 41.2 |
| S$ 1000 or higher | 706 | 58.8 |
| Health behavior | ||
| Smokes | ||
| Yes | 171 | 14.2 |
| No | 1030 | 85.8 |
| Exercises regularly | ||
| No | 511 | 42.5 |
| Yes | 690 | 57.5 |
| Preventive measures taken at home over the 3 days preceding the interview | ||
| Five or less preventive measures taken | 832 | 69.3 |
| Six or more preventive measures taken | 369 | 30.7 |
| Attitudes on crisis management and SARS | ||
| “Preventive measures have adversely affected my personal choice and freedom in life” | ||
| Agree (1) | 536 | 44.6 |
| Disagree (0) | 665 | 55.4 |
| “People should be willing to make some personal sacrifices” | ||
| Agree | 1145 | 95.3 |
| Disagree | 56 | 4.7 |
| “People have mostly been socially responsible” | ||
| Agree | 1033 | 86.0 |
| Disagree | 168 | 14.0 |
| “Have had the chance to express my personal views and concerns to the authorities if I wanted to” | ||
| Agree | 930 | 77.4 |
| Disagree | 271 | 22.6 |
| “It is appropriate to reveal the names and identities of SARS patients to the public” | ||
| Agree | 474 | 39.5 |
| Disagree | 727 | 60.5 |
| “If you did not develop symptoms of SARS after having | ||
| Agree | 1097 | 91.3 |
| Disagree | 104 | 8.7 |
| “If you did not develop symptoms of SARS after having | ||
| Agree | 860 | 71.6 |
| Disagree | 341 | 28.4 |
| Perceived susceptibility: “How likely do you think it is for you to contract SARS”? | ||
| Nil susceptibility | 211 | 17.6 |
| Some or high susceptibility | 990 | 82.4 |
| Perceived severity: “If you have contracted SARS, what is the likelihood of survival”? | ||
| Low severity | 1052 | 87.6 |
| High severity | 149 | 12.4 |
| Perceived health status: “How would you rate your health in the past one week”? | ||
| Excellent/very good | 612 | 51.0 |
| Good/average/poor | 589 | 49.0 |
| Feels comfortable | ||
| No/just a little | 294 | 24.5 |
| Very/quite | 907 | 75.5 |
| Feels relaxed | ||
| No/just a little | 358 | 29.8 |
| Very/quite | 843 | 70.2 |
| Feels contented | ||
| No/just a little | 374 | 31.1 |
| Very/quite | 827 | 68.9 |
| Feels happy | ||
| No/just a little | 314 | 26.1 |
| Very/quite | 887 | 73.9 |
| Has negative feelings (frightened, nervous, anxious, indecisive, confused) | ||
| Negligible | 713 | 59.4 |
| Intense | 488 | 40.6 |
| Dependent variable | ||
| Appraisal of health authorities’ crisis management | ||
| Negative (below average) | 290 | 24.1 |
| Positive (above average) | 911 | 75.9 |
Eight preventive measures were considered as part of the respondents’ “activities during the past 3 days”: covering the mouth with paper tissue or handkerchief when sneezing or coughing; covering the mouth with bare hand when sneezing or coughing; washing hands after sneezing or coughing; using soap or liquid hand-wash when washing hands; wearing a mask over the mouth; using serving utensils (chopsticks or spoons) for shared food when joining others for meals; when touching objects that may possible carry the SARS virus (e.g., door handles, buttons in lifts), taking preventive measures (e.g., pressing lift buttons with tissue paper); washing hands as soon as possible after touching objects that may possibly carry the SARS virus (e.g., door handles, buttons in lifts).
The original response categories for perceived susceptibility (that is, the perceived likelihood of contracting SARS) were: “very likely”, “likely”, “not very likely”, “not likely at all” and “don’t know”. For the logistic regression analysis the latter group, 17.6% of respondents who had no idea on their susceptibility to SARS, were contrasted with all other respondents who did have an assessment of their likelihood of getting infected.
The original response categories for perceived severity (that is, the likelihood of survival) were “very likely”, “likely”, “not very likely” and “not likely at all”. For the logistic regression analysis, these responses were dichotomized into low perceived severity (survival “very likely/likely”) and high perceived severity (survival “not very likely”/“not likely at all”).
The respondents’ appraisal of the health authorities’ crisis management was ascertained by their assessment of the distribution of information in terms of accuracy, clearness, sufficiency, timeliness, and trustworthiness in a scale from very negative (score 1) to very positive (score 6). The scale had high reliability (α = 0.813) and the mean score was 4.83 (S.D. = 0.617).
Logistic regression model predicting respondents’ belief in effective HIV/AIDS preventiona
| Variables in the model | Estimated odds ratios [exp(B)] |
|---|---|
| Socio-demographic factors | |
| Gender: female (1) | 0.439 |
| Age: 50 years old or older (1) | 0.743 |
| Ethnicity: Chinese (1) | 0.388 |
| Marital status: single (1) | 1.291 |
| Religion: Muslim (1) | 1.784 |
| Social class factors | |
| Occupation: service sector (1) | 0.715 |
| Personal income: <S$ 500 (1) | 0.661 |
| Education: 11 years or higher (1) | 1.732 |
| Attitudinal factors | |
| Worry about falling sick: yes (1) | 2.289 |
| Future orientation: high (1) | 3.362 |
| Personal control: high (1) | 1.583 |
| Life satisfaction: high (1) | 1.224 |
| Perceived severity: high (1) | 9.518 |
| Perceived susceptibility: high (1) | 1.318 |
| Nagelkerke | 0.435 |
| Variance predicted correct (%) | 86.9 |
See Table A.3 for the description of measurement of belief in effective prevention. Total sample size: 660.
Statistically significant at p = 0.01–0.03.
Statistically significant at p = 0.001–0.009.
Statistically significant at p = 0.0001 or lower.
Logistic regression model predicting people's appraisal of health authorities’ management of the SARS crisis
| Variables in the model | Estimated odds ratios [exp(B)] | |||
|---|---|---|---|---|
| (a) Total sample | (b) Seniors | (c) Less educated | (d) Malays | |
| Socio-demographic factors | ||||
| Gender: female (1) | 1.093 | 0.976 | 1.089 | 1.054 |
| Age: 60 years old or older (1) | 0.686 | 0.583 | 0.734 | |
| Ethnicity: Chinese (1) | 1.262 | 3.656 | 2.184 | |
| Marital status: single (1) | 1.083 | 0.118 | 1.291 | 0.721 |
| Place of birth: Singapore (1) | 0.765 | 0.416 | 0.356 | 1.136 |
| Preferred language: Mandarin (1) | 1.722 | 2.353 | 1.667 | |
| Social class factors | ||||
| Education: primary six or lower (1) | 1.016 | 1.199 | 0.532 | |
| Personal income: below S$ 1000 (1) | 0.750 | 0.284 | 0.434 | 0.586 |
| Health behavior | ||||
| Smokes (1) | 0.591 | 0.463 | 0.277 | 0.628 |
| Exercises regularly (1) | 1.236 | 0.636 | 1.156 | 1.372 |
| Less than five preventive measures taken in past 3 days (1) | 1.271 | 2.990 | 2.345 | 2.954 |
| Attitudes | ||||
| Preventive measures adversely affected personal choice and freedom (agree = 1) | 0.766 | 0.295 | 0.678 | 0.852 |
| People should be willing to make some personal sacrifices (agree = 1) | 1.821 | 4.947 | 0.521 | 1.417 |
| People have mostly been socially responsible (agree = 1) | 2.524 | 3.954 | 7.482 | 3.293 |
| Have had the chance to express my personal views (agree = 1) | 1.575 | 1.246 | 0.930 | 2.280 |
| It is appropriate to reveal identities of SARS patients (disagree = 1) | 0.734 | 0.279 | 0.690 | 0.520 |
| Agree to be quarantined for 10 days after having close contact and no symptoms of SARS (1) | 1.525 | 1.946 | 1.636 | 1.151 |
| Agree to be quarantined for 10 days after having non-close contact and no symptoms of SARS (1) | 1.084 | 2.076 | 1.075 | 1.292 |
| Awareness of personal susceptibility to SARS (no awareness = 1) | 0.617 | 0.345 | 0.447 | 0.386 |
| Perceived severity (high = 1) | 1.059 | 0.816 | 0.874 | 0.916 |
| Perceived health status (excellent/very good = 1) | 1.004 | 1.375 | 0.883 | 1.402 |
| Feels comfortable (1) | 1.492 | 1.692 | 11.851 | 1.164 |
| Feels contented (1) | 1.096 | 2.860 | 0.263 | 0.873 |
| Feels relaxed (1) | 0.919 | 0.555 | 0.648 | 0.222 |
| Feels happy (1) | 1.277 | 5.170 | 1.613 | 8.181 |
| Has negative feelings (1) | 1.185 | 2.275 | 0.500 | 1.361 |
| Nagelkerke | 0.139 | 0.437 | 0.338 | 0.290 |
| Variance predicted correct (%) | 77.7 | 84.0 | 80.0 | 80.2 |
Notes: total sample, 1201; seniors, 144; less educated, 230; Malay, 172.
Statistically significant at p = 0.04–0.05.
Statistically significant at p = 0.01–0.039.
Statistically significant at p = 0.001–0.009.
Statistically significant at p = 0.0001 or lower.
Logistic regression model predicting respondents’ perception of people living with HIV/AIDS
| Variables in the model | Estimated odds ratios [exp(B)] | |||
|---|---|---|---|---|
| (a) No labels | (b) “Victims” | (c) “Risk-takers” | (d) “Deviants” | |
| Socio-demographic factors | ||||
| Gender: female (1) | 0.696 | 0.949 | 0.450 | 2.682 |
| Age: 50 years old or older (1) | 3.330 | 2.346 | 1.179 | 0.415 |
| Ethnicity: Chinese (1) | 3.299 | 0.622 | 1.117 | 1.089 |
| Marital status: single (1) | 0.579 | 0.692 | 1.396 | 0.805 |
| Religion: Muslim (1) | 2.708 | 0.784 | 0.917 | 1.247 |
| Social class factors | ||||
| Occupation: service sector (1) | 1.644 | 0.989 | 0.890 | 1.177 |
| Personal income: <S$ 500 (1) | 1.645 | 1.410 | 0.787 | 1.012 |
| Education: 11 years or higher (1) | 0.000 | 0.765 | 0.749 | 1.456 |
| Attitudinal factors | ||||
| Worry about falling sick: yes (1) | 0.441 | 1.115 | 1.509 | 0.582 |
| Future orientation: high (1) | 1.045 | 0.903 | 1.003 | 0.963 |
| Personal control: high (1) | 0.652 | 0.682 | 1.334 | 0.892 |
| Life satisfaction: high (1) | 0.920 | 1.038 | 0.942 | 1.041 |
| Perceived severity: high (1) | 0.192 | 0.234 | 1.534 | 4.055 |
| Perceived susceptibility: high (1) | 0.918 | 1.313 | 0.902 | 1.107 |
| Believe in effective prevention (1) | 0.070 | 0.085 | 4.535 | 1.941 |
| Nagelkerke | 0.581 | 0.456 | 0.195 | 0.169 |
| Variance predicted correct (%) | 92.7 | 89.0 | 68.3 | 75.0 |
Notes: total sample size, 660.
Statistically significant at p = 0.04–0.05.
Statistically significant at p = 0.01–0.03.
Statistically significant at p = 0.001–0.009.
Statistically significant at p = 0.0001 or lower.