Understanding the Apocalypse
Copyright © eContent Management Pty Ltd. Health Sociology Review (2010) 19(3): 369–381.
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Framing disease: The avian infl uenza pandemic in Australia
SUDEEPA ABEYSINGHE School of Sociology, Australian National University, Canberra, ACT, Australia
KEVIN WHITE School of Sociology, Australian National University, Canberra, ACT, Australia
A B S T R A C T Since 2003, avian infl uenza has recently spread around the world sparking fears of a potential pan- demic. As a result of this, a range of explanations and expectations surrounding the phenomenon were generated. Such social representations of disease depict the issue under discussion and frame reactions to the event. This paper explores the social representations surrounding avian infl uenza in Australia. Methodologically, a textual analysis of media and government documents was conducted in order to uncover the social representations implicit in these accounts. This demonstrated a symbolic framing of avian infl uenza with reference to the Spanish Infl uenza pandemic (1918). Analytically, the study draws upon the concepts of social representations from Durkheim and of risk and symbolic risk in the work of Beck. Overall, it is argued that the framing of avian infl uenza as a risk, mediated through the collec- tive memory of Spanish Infl uenza, characterised the nature of the social representations surrounding the phenomenon. This resulted in the production of symbolic solutions to the threat.
KEYWORDS: sociology; avian infl uenza; social representations; risk; media; infectious disease
INTRODUCTION
The threats of new infectious disease – SARS or avian infl uenza – as impending pandemics have recently come into prominence
in the public domain. In this paper we provide
an account of how avian infl uenza was framed
in Australian media and government sources.
Drawing upon Durkheim’s concept of social rep-
resentations, this paper explores the construction
of avian infl uenza as produced through the pub-
lic narratives of the government and the media
(Nerlich and Halliday 2007). Methodologically,
narrative analysis was utilised to uncover the dis-
courses implicit in the media and government
documents. The study demonstrates an histori-
cal continuity in the construction of epidem-
ics in Australian society through the linking of
avian infl uenza with the Spanish Infl uenza pan-
demic of 1918. As the media and government
documents studied in this paper demonstrate, the
social representations of infectious disease reso-
nate deeply in the collective understanding of
these issues and have led to the rise of risk dis-
courses in regard to an avian infl uenza pandemic,
resulting in a heightening of uncertainty and fear
surrounding this perceived threat.
This paper shows how the symbolic construc-
tion of pandemic threats based on the collective
memory of the Spanish Infl uenza, as demon-
strated in newspaper and government reports,
results in the pursuit of an antiviral defence against
the infl uenza, even when it is known that such
a strategy will not be effective. As we will show,
the Australian Government’s position represents
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predominantly affects birds (and even then only
infrequently in a highly pathogenic form) spo-
radic human epidemics caused by various avian
infl uenza viruses have developed throughout
history. Human infections by H5N1 in Hong
Kong (1997), and subsequent cases in vari-
ous areas globally, sparked the generation of a
heightened perception of the threat posed by
this virus (Monto 2005). Thus, although there
had been relatively few instances (just over 300
laboratory-confi rmed cases) of human infection
worldwide (WHO 2008) the risk of a global
pandemic of avian infl uenza had been a possi-
bility that was often reiterated in the discourse
of various social institutions during the height
of the scare.
RISK, RISK COMMUNICATION AND SYMBOLIC INDUSTRIES OF RISK Sociologically speaking, there are a number
of factors that make up the constitution of a
risk. Firstly, for a risk to exist it must fi rst be
acknowledged; it must exist in the political
consciousness (Douglas 1992). Apart from this
characteristic as a constructed and essentially
public entity, risks also display several other
features. These include the necessarily systemic
nature of risks (Beck 1992:21–32). Although
they are unequally distributed, risks also tend
to cross temporal and spatial boundaries and are
characteristically located in the future. The AI
pandemic threat possesses these characteristics.
Thus, as will be seen in the following analysis,
an important feature of risk is the concept of
anticipation. As such, although the perception of
risk surrounding AI lay in the future, this fact
enhances, not diminishes, the sense of dread.
Furthermore, unlike the hazards of early indus-
trialisation, no individual or organisation can be
held directly responsible for the current risks,
as risks are inherent in the social system itself.
Additionally, according to Beck’s characterisa-
tion, while hazards of the past were largely per-
ceptible to the senses, risks of the present (such
as AI) generally remain invisible. Therefore,
a symbolic solution to what is fundamentally a
symbolic issue.
Representations are a ubiquitous and neces-
sary component of social life, since they both
produce a shared understanding and help indi-
viduals to make sense of the world around
them. As such, social representations gener-
ate a collection of explanations and expec-
tations surrounding a given phenomenon.
Importantly, such representations both depict
the issue under discussion and simultaneously
refl ect subjectivities surrounding that issue
(Durkheim 1915; Meštrović 1988). The study
of social representations is thus necessarily of
sociological interest because representations
give insight into both the perception and con-
struction of a given phenomenon under study
(Moscovici 1988).
The production of public representations is
most relevant in circumstances where a frame-
work of interpretations is essential to render inter-
pretable a challenging or unfamiliar occurrence,
such as the event of illness (Rosenberg 1989).
The experience of disease essentially refl ects a
break in the ordinary continuity of social life
(Herzlich and Pierret 1987), and narratives of
disease thus become necessary to render this
disruptive experience intelligible. Furthermore,
such narratives not only provide an explanation
for the specifi c event but also necessarily supply
some interpretation regarding the overall nature
of society and social reality. Representations of
disease are thus an important subject of socio-
logical study. In this paper, the construction of
disease representations is explored through the
analysis of the depictions that surround the phe-
nomenon of avian infl uenza.
What is commonly referred to as ‘avian
infl uenza’ in the public domain is actually a
specifi c and highly pathogenic subtype of the
avian H5N1 virus (Monto 2005). The poten-
tial impact of this virus has recently become
entrenched in the public consciousness due
to characterisations of its ability to cause a
human pandemic. Though the H5N1 virus
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surrounding risk. Beck argues that the more the
public is aware of a risk (for example through
the risk discourses presented in this analysis), the
greater the risk appears to be (Beck 1992:57).
This therefore, necessitates further action in alle-
viating public feelings of helplessness and dread.
Risks are thereby not only socially created facts
but also important market opportunities – as
risks grow in public importance new demands
are created and the risks also grow in economic
importance (Beck 1992:45). After the creation of
an economic niche, the very existence of indus-
tries surrounding a threat makes it increasingly
diffi cult for notions of risk to be dismantled.
In the case of AI, risk presents itself as a gener-
alised notion of pandemic where the etiological
agent (i.e. the mutated H5N1 virus strain) and
the event of successful human-to-human trans-
mission remain only vague future notions. Due
to the indefi nite nature of this risk, it is impossi-
ble to have a truly preventative action, and rather
a symbolic industry is born (Beck 1992:57).
In this case, the symbolic industry involves the
manufacture of vaccines and treatments which
are likely to be ineffectual in the case of an actual
pandemic. What is necessary is not that the risks
are eliminated (since they cannot be eliminated
unless their very existence is questioned) but
rather that a policy of eliminating risks is imple-
mented. Such reactions are not uncommon, and
instances of the creation of symbolic industries
of risk management have arisen from many
(perceived) ‘social problems’ (Lockie et al 2000). Thus, the politics of AI are part of a process of
collective action surrounding risk, where public
mobilisation necessitates a government response.
Since it is virtually impossible to prepare for a
future threat in a way that both appears to pro-
tect citizens and is actually effectual, the govern-
ment must necessarily subscribe to the symbolic
industries of vaccines and antivirals.
METHODOLOGY Narrative texts, as linguistic and discursive
processes, are of fundamental importance in
knowledge surrounding risks is localised in the
sphere of science, since risk assessment is neces-
sarily based upon causal interpretation. In this
way, this knowledge is easily subject to differ-
ent interpretations and is thereby open to social
defi nition and construction.
Thus, while science is responsible for the
primary production of risk perception, the
invisible and subjective nature of a risk also per-
mits interpretation from other sources (Beck
1992:29). Notably, the media holds a key social
and political position in defi ning risk and com-
municating risks, especially when scientifi c
uncertainty exists. In such cases, notions of
threat are highly susceptible to non-technical
defi nition and construction (van Loon 2002). As
the social and economic importance of ideation
regarding a risk grows, so too does the power of
the mass media as agents of the dissemination of
risk narratives. Thus, the way in which the AI
risk is presented by the media is crucial to the
understanding of the phenomenon as a whole.
Here it will be shown that media reporting of
AI serves to heighten expectations of pandemic
and perpetuate the perception of risk. The
very existence of a large number of newspaper
reports on the issue of AI reinforces the sugges-
tion that the media helps to (re)produce notions
of AI as an issue of primary public interest. This
thereby affects government reactions to the AI
risk, and government measures and media dis-
courses interrelate with each other in a refl exive
manner.
Proposing solutions to AI is problematic
because of the different interpretations of the
level of risk it poses. But once a risk is generated
a solution has to be proposed. In Australia that
solution is found in the stock piling of antivi-
ral drugs. Given the lack of consensus regarding
the validity of these measures, the government
response to the AI threat in terms of vaccine
and antiviral stockpiling appears problematic.
However, one way in which this phenomenon
can be explained is through the use of Beck’s
concept of the rise of symbolic industries
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limiting the results to reports in which substantial
commentary was made), and reported in the
general/local news, features, or world news
sections of the newspaper (fi ltering out many
reports made in the fi nancial sections, as the
specifi c commentary of commercial concerns is
not of primary interest in this study) (see Figure
1). The use of this search strategy resulted in
the retrieval of 62 articles published between
January 2004 and March 2007. Although a few
articles were published between 1997 (the time
of the fi rst outbreak) and 2004, and a signifi -
cant number of them from March 2007 to the
time of the commencement of the data analysis
(March 2008), these reports did not conform to
the specifi cations of the search, typically due to
the word count restriction.
The newspaper reports were of primary
interest because the mass media play a role in
both the generation and the dissemination of
representations (Edy 1999; Inglis 1990). The
narratives of the media facilitate the public
understanding of social events by instilling them
with meaning. In fact, the news media can be
viewed primarily as an industry devoted to the
production of representations (Lupton 1994).
forming subjectivities and making the social
world intelligible to those who live in it (Lupton
1994). Sociologically, the analysis of texts is
important in understanding representations of
illness, as narrative texts employ language to
both present and constitute cultural interpreta-
tions of reality (Franzosi 1998). Textual analysis
is utilised in this paper to provide not only an
understanding of infl uential representations of
AI, and anxieties present in Australian society
regarding AI, but also to provide insight into
broader socio-cultural notions of illness, infec-
tion and risk.
In order to study media representations, a
retrieval of articles which focused upon the
subject of AI published by The Australian news- paper was made using the Factiva database.
The Australian newspaper was chosen due to its status as a national newspaper with a wide-
spread distribution. The initial search locating
all articles containing the phrases ‘avian infl u-
enza’, ‘bird fl u’, ‘avian fl u’, or ‘H5N1’ yielded
over 700 results. The articles to be subject to
analysis were selected by restricting the search
to those using one or more of the terms at least
fi ve times, above 500 words in length (thus
FIGURE 1: SHOWS THE NUMBER OF THE AUSTRALIAN ARTICLES WHICH CONTAIN ANY OF THE PHRASES ‘AVIAN INFLUENZA’, ‘AVIAN FLU’, ‘BIRD FLU’ OR ‘H5N1’ IN THE PUBLISHING PERIOD OF JANUARY 2001 TO AUGUST 2008.
0
10
20
30
40
50
60
70
80
90
100
Jan-01
Jul-01 Jan-02
Jul-02 Jan-03
Jul-03 Jan-04
Jul-04 Jan-05
Jul-05 Jan-06
Jul-06 Jan-07
Jul-07 Jan-08
Jul-08
Month of Publication
N um
be r
of A
rt ic
le s
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in the production of shared notions of reality
(Hastings 1998). Fundamentally, the goal of
government policy is not merely to defi ne the
problem but essentially to effect a solution to
that problem. Thus, unlike the media narrative,
the aim of government policy is to provide
resolutions. However, through the narrative
process, the solution to the problem is neces-
sarily framed within defi nitions of the problem
itself; thus the depiction of the causes of the
problem will serve to create the actions taken
(Atkinson 2000).
THE HISTORICAL CONTEXTUALISATION OF AVIAN INFLUENZA Although avian infl uenza was an emerging
and ‘new’ virus, its characterisation necessarily
refl ects pre-existing ideas regarding infectious
disease (Fleck 1979). This can be attributed to
the fact that one of the ways in which people
come to understand a novel phenomenon is
through reference to an existing comparative
framework (Marková and Farr 1995). Thus,
analogy is one of the primary ways in which
prevailing thoughts and ideas are represented
and organised (Arber 1954; Sontag 1978). The
narratives of AI studied in this paper will be
shown to draw heavily upon analogies to past
infl uenza pandemics. Notably, the Spanish
Infl uenza pandemic of 1918–1919 provides
the dominant model for contemporary under-
standings of AI. In fact, the Spanish Infl uenza
pandemic is a recurring theme in the newspa-
per and government documents.
Within the long general history of human
infection with infl uenza, the Spanish Infl uenza
pandemic of 1918–1919 distinguishes itself as a
fearful event (Crosby 1976). Spanish Infl uenza is
upheld as a prototypical example of an infl uenza
pandemic, despite the surrounding scientifi c
controversy and its atypical epidemiology and
manifestation (Taubenberger and Morens 2006;
Tognotti 2003). Nevertheless, in terms of public
memory of pandemic infl uenza, the Spanish Flu
predominates.
Thus, the media not only refl ect societal norms
and values but also serve to create them. The
relationship between media representations and
public narratives is therefore a constantly refl ex-
ive process (Petts et al 2001). The media also play an important role in suggesting to the pub-
lic what should be viewed as a social problem,
and thus hold a prominent position in political
agenda setting (Ward 2002).
In addition to the analysis of media nar-
ratives, a study of the Australian Federal
Government’s construction of the issue was also
conducted. In order to study government nar-
ratives and actions in response to AI, an analy-
sis of the ‘Australian Health Management Plan
for Pandemic Infl uenza’ (hereafter referred to
as ‘Pandemic Plan’) was conducted. This docu-
ment was produced by the Offi ce of Health
Protection in the Department of Health and
Ageing in May 2006 from an earlier (June 2005)
version. As the defi ning government document
in response to AI – covering the background,
historical precedents, and preparation and pre-
vention strategies – the Pandemic Plan was
studied through comparison and contrast with
the narratives that were provided from an anal-
ysis of the newspapers.
Government policy regarding the AI phe-
nomenon is a manifestation of the social narra-
tives surrounding the threat of pandemic. Thus,
government policy serves to itself construct and
also sustain a system of beliefs surrounding the
reality of AI. It has been noted that govern-
ment policy is produced as a result of existing
societal discourses, including the construction
of the problem by other social institutions such
as the media (Hastings 1998). However, in
addition to being constructed as a reaction to
cultural ideation surrounding AI, the creation
and implementation of government policy in
itself displays narratives of the phenomenon
(Atkinson 2000). This is because policy docu-
mentation must necessarily defi ne the ‘problem’
under question. This defi nition occurs through
social processes of argumentation, which result
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The course and impact of Spanish Infl uenza
highlights its status as a source of anxiety. The
Spanish Infl uenza virus/es had spread across
the globe in a matter of weeks (Phillips and
Killingray 2003). Although estimates of morbid-
ity and mortality rates are highly inconsistent,
it is suggested that the death rate ranged from
approximately 20–100 million worldwide. In
Australia, an estimated one million individuals
were infected, with tens of thousands of deaths
(Barry 2004). However, it was not only the high
mortality rates which led to the fear of the ill-
ness. The unpredictability of infection and the
swift nature of death were major causes of pub-
lic alarm (Graves 1969). Additionally, there were
dramatic changes in the structure of social life at
the height of the pandemic. These included the
rise of media hysteria surrounding the disease,
the breakdown of social life through quarantine
(Hyslop 1994) and the more symbolic isolation
of individuals (evidenced through the rise of a
culture of mask wearing and social distancing),
and the breakdown of public and employment
structures (Graves 1969).
Spanish infl uenza is indeed the disease which
was most often referred to in discussion sur-
rounding AI, and served to provide an analogy
to the potential threat of AI. Of the sources
collected, many of the newspaper articles made
signifi cant reference to the Spanish Infl uenza
(Dayton 2005; Eccleston 2005; Henderson 2005;
Kerin and Mayes 2005; McCracken and Curson
2005; Wood 2006). As a further indication of the
salience of this analogy, one article, ‘Flu of the
Past has Lessons for the Future’ in fact focuses
upon the direct comparison of AI to Spanish
Infl uenza (McCracken and Curson 2005),
thereby reinforcing the idea of a conceptual link
between Spanish Infl uenza and contemporary
events. Furthermore, in addition to the media
references to Spanish Infl uenza, the government
report makes perhaps an even more fundamental
linking of AI to the existing cognitive schema
surrounding that past pandemic. In fact, the very
second line of the introduction to the Pandemic
Plan makes reference to the Spanish Infl uenza
and notes the devastation and high death rate
caused by that event (Offi ce of Health Protection
2006:6). In this way, the government report as a
whole is framed around this initial allusion to the
Spanish Infl uenza pandemic.
Thus, the constant and prominent references
to the historical events of the Spanish Infl uenza
pandemic suggest that this past experience pro-
vides a primary basis of comparison for contem-
porary Australian conceptions of AI. Through
its construction in the context of this incident,
the AI phenomenon is endowed with all of the
social meanings and understandings which are
embedded in the remembrances and interpre-
tations of the Spanish Infl uenza pandemic (see
Olick and Robbins 1998).
However, overall it is diffi cult to compre-
hensively situate the degree to which Spanish
Infl uenza and ideas of contagion in general reso-
nate within the public imagination. For example,
it is suggested by one historian that while indi-
viduals who lived through the Spanish Infl uenza
pandemic retain a sense of dread surrounding
infl uenza, the instance is largely forgotten by
the general public (Barry 2004). In contrast,
Herzlich and Pierret suggest that it is a para-
dox that great epidemics, although ‘entrenched
in culture as deeply as any myth, are no longer
part of the individual consciousness. People no
longer refer to them when speaking of illness
[as other diseases such as cancer have taken pre-
dominance as the prototypical example], and the
fear of the scourge has vanished’ (1978:40). As
Halbwachs (1992) argued in his germinal book
Social Frameworks of Memory, issues of collective memory are not issues of individual memory but
of the group’s memory. Corresponding more
closely to this second approach, the data analy-
sed for this paper serve to suggest that at the col-
lective level narratives of contagion are still very
much alive in contemporary Australian society
in the sources analysed in this paper. Thus, the
textual analysis indicates that the AI threat has in
fact re-awakened long-latent disease narratives
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A good example of the wide ranging claims
made about such risk estimates is the reporting
of a statement made by (then Health Minister)
Tony Abbott who suggested that the likeli-
hood of infection in Australia was ‘10 per cent
in any one year’ (Cresswell and Murphy 2005).
Additionally, in association with such specifi c
fi gures, very vague numbers are also forwarded,
such as those suggesting that AI ‘could kill mil-
lions’ (The Australian 2007). Even direct citing of mortality rates, of around 50% by World Health
Organization (WHO 2008) estimates, as evi-
dence of the ‘deadly’ nature of AI is problem-
atic. This is due to the fact that not all infected
individuals will be subject to WHO surveillance
(and are therefore absent from statistical analysis)
(Best 2008).
Regardless, it is not the statistics in them-
selves, but rather the very use of such statis-
tics which creates risk perception. Quoting
large fi gures, a particular means of risk com-
munication, magnifi es notions of risk because
large fi gures necessarily link in the minds of the
audience with a large problem. Statistics cer-
tainly have a useful place in framing knowledge
about society, and can be utilised to simplify
and explain complex social phenomena in a
way that heightens understanding and serves as
a basis for easy comparison. However, statistics
are often treated as objective representations
of the truth (Best 2001; Smith 1985). In con-
trast with this perception, due to their nature as
‘facts’ which are primarily constructed, statistics
are necessarily representations. For example, as
suggested, ‘risk’ is not an objective concept but
is rather in itself a socially produced notion; in
this way, risk statistics are wholly dependent
upon statisticians conceptualisations of what
‘risk’ actually constitutes (Bartholomew 1995;
Heyman et al 1998). Furthermore, according to Hindess (1973), even more critical is the fact
that statistics are produced through collective
activity and are therefore tied to the specifi c
organisational context and the overall cultural
meaning system in which the construction is
and resonated with an historical conception of
contagion in Australian culture (Bashford 2002;
Bashford and Strange 2003).
RISK The analogy with Spanish Infl uenza character-
ises discourses of avian infl uenza through con-
ceptions of threat and linking to past experience.
Furthermore, at its core AI is presented as omi-
nous and worthy of a fearful response because it
is a potentially catastrophic future event. Thus,
even though the probability of an AI pandemic
may be small, the magnitude of destruction
which would be caused in the event of a pan-
demic is necessarily large. This feature situates AI
as a risk, resulting in the widespread develop-
ment of risk discourses. Correspondingly, risk is
one of the most salient notions present in all nar-
ratives of AI.
The communication of risk – the media One of the ways in which the media manages
to communicate the strong likelihood (or even
inevitability) of an AI pandemic is through the
use of statistics, estimates of probability and
numbers. For example, it is maintained that the
AI pandemic will be disastrous in terms of the
economy (The Australian 2007), and the problem has necessitated massive governmental spending
(such as the ‘$100 million-plus order’ of anti-
virals – Gluyas 2005). These large numbers are
suggestive of the size of the problem. However,
more potent even than these economic fi gures,
are reported estimates of infection and death
tolls. These statistics vary widely, but nonethe-
less are usually large. For example, one article
suggests that ‘over 2.6 million Australians’
would become infected and ‘13,000’ would die
(Kerin 2005), while several others quote one sci-
entist’s estimates of between 5 million to 150
million deaths worldwide (Henderson 2005).
Importantly, the derivation of these fi gures is
never explained, contributing to a generalised
sense of risk.
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bioterrorist threats (Rudd 2005). Equally
alarming are comparisons to other infectious
agents that are either highly destructive or
grotesque such as Ebola virus, Nipah virus,
bovine spongiform encephalitis (Kerin 2005;
Maegraith 2004) and (especially common, as
already discussed) the 1918 Spanish Infl uenza.
The language of invasion and war (Cresswell
2006) and images of combat against a stealthily
approaching enemy (Dayton 2005) are simi-
larly used to illustrate the geographical prog-
ress of infection and heighten notions of threat
and attack. As reported in ‘Bird Flu to Strike
UK Exports’, we must ‘live with the constant
threat’ of outbreak (The Australian 2007). In such a way, threatening characterisations of AI
predominated. It is also important to note that
these metaphors and assertions were also fre-
quently performative in that they change the
defi nition of the situation under consideration
(Austin 1962). By framing the phenomena in
this way, the reader is compelled to think and
act as though AI corresponded to these repre-
sented realities.
The communication of risk – the government Through its use of all the abovementioned
devices, it is therefore clear that the media for-
warded a narrative of high risk. However, the
comparison of media and government discourses
provides an interesting juxtaposition. Unlike the
suggestions of threat constructed in the media,
the government narrative regarding risk was
much less menacing. Here, it was suggested that
there is ‘…no evidence that the H5N1 virus can spread effi ciently from human-to-human,
and there is no immediate threat to the health
of Australians’ (Offi ce of Health Protection
2006:6). The Pandemic Plan called for restraint
due to the fact that the government holds an
interest in maintaining an awareness of AI with-
out going to the extent of alarming the pub-
lic over its existence (Gray and Ropeik 2002).
This is also seen in other calming expressions
embedded. In this way, statistics are generated
for political and professional purposes and
refl ect the structure of social relations (Forde
1988; Paterson 1981).
Combined with this use of intimidating fi g-
ures is the concept of certainty in the ampli-
fi cation of risk. In the vast majority of the
newspaper articles pandemic infl uenza was por-
trayed as an inevitability. For example David
Nabarro, leader of the United Nations taskforce
investigating AI, is cited as stating ‘I am almost
certain that there will be another pandemic
soon’ (Powell 2005) and in another instance it is
maintained that ‘Britain’s chief scientist warned
that at least 50,000 British citizens would die
“when, not if” the avian infl uenza took hold
of Britain’ (Gluyas 2005). This second claim
particularly reinforces the notion of inevitabil-
ity; we are told that (a minimum of) 50,000
Britons will die as a result of AI. Such a sug- gestion is guaranteed to heighten perceptions of
threat. Furthermore, it was also reported that
‘H5N1 is considered the biggest disease threat
to humanity’ (The Australian 2005), thereby raising its status above all other health concerns.
This concept of threat was also exaggerated
through reporting of the geographical progress
of the disease, where AI was portrayed not as
sporadic individual cases and clusters but rather
as marching steadily across borders and entire
continents. Here, individual cases in Romania
and Nigeria were depicted as the incursion of
the disease into the whole of Europe and Africa
(Bita 2006).
In addition to numbers, the use of language
heavily mediated the way in which the AI phe-
nomenon was constructed, especially in con-
veying narratives of risk. This is seen through
the description of the H5N1 virus as (to list a
few) ‘deadly’ (Hawkes 2006), ‘aggressive’ (The Australian 2005) and a ‘lethal storm’ (Eccleston 2005), and the comparison of AI with events
which spark panic in the public consciousness
such as the Boxing Day tsunami (Eccleston
2005), Hurricane Katrina (Nason 2005) and
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science and medicine fail to adequately explain
it (Herzlich and Pierret 1987).
Furthermore, although the government con-
veyed a less threatening concept of risk than the
media narrative, one of the methods used to
convey the notion of risk in the Pandemic Plan
mirrors a technique used by the media. This is
the reference to past pandemics, including the
Spanish Infl uenza. As already shown, the Spanish
Infl uenza pandemic provides a frame of refer-
ence for AI narratives and links AI with exist-
ing fears. In the same way, an entire segment
of the Plan (section 1.4.) is devoted to a discus-
sion of the history of pandemics. This therefore
depicts AI as rooted in what is conceptualised as
the historical struggle of humanity against infec-
tious disease (Foege 1991; McNeill 1976; Watts
2003). Again, the historical comparison made in
this instance lends to the further creation of risk
perception, through the conceptual linking with
past pandemics. The government narrative of
risk, therefore, while less strident than the media
narrative, nonetheless situates AI as a phenom-
enon of great concern.
SYMBOLIC INDUSTRIES OF RISK The government and the media narratives also
diverge in respect to their depictions of sci-
entifi c solutions to the threat. Here, while the
dominant government narrative appears to mir-
ror that of the media, where scientifi c progress
is upheld through the production of vaccines
and antivirals, a secondary narrative of uncer-
tainty regarding scientifi c progress in regard to
AI occasionally also surfaces. One of the most
interesting facets of the government narrative
regarding science is the oscillation between the
dependence upon antivirals and vaccines and
the acknowledgement that the scientifi c under-
standing of AI has not reached the stage where
the effective production of these is possible. This
confl icting discourse leaves the government in a
position whereby it needs to rely upon vaccines
and antivirals while simultaneously questioning
the effi cacy of such actions. Thus it is suggested
used throughout the Plan, suggesting that there
is ‘little danger’ of effective human transmis-
sion, ‘little chance’ of infection to consumers
of poultry products, and pointing to ‘high stan-
dards’ of infection control and hygiene prac-
tices in Australia. It was thereby maintained that
Australians are at low risk, and effective patterns
of surveillance and safety are likely to keep the
community protected. This is not, however, to
suggest that AI presented no threat at all. AI
‘remains a concern because of the high fatality
rate’ (Offi ce of Health Protection 2006:12), and
because a pandemic is likely to evolve in coun-
tries which do not uphold Australian standards
of sanitation.
Another area where the government dis-
course differs from that produced in the media
is in notion of certainty. Throughout much of
the newspaper reporting, a rhetoric of certainty
was espoused whereby the AI pandemic was
seen as a defi nite future event. In contrast, the
government acknowledged the current lack
of certainty surrounding the phenomenon.
For example, in the introduction to the Plan
it is suggested that ‘the chances of another
infl uenza pandemic are unknown’ (Offi ce of
Health Protection 2006:6). In fact, the con-
cept of uncertainty permeates throughout the
document, not only in regards to the likelihood
of a pandemic but also in regards to the evi-
dence surrounding the phenomenon. Thus it
is suggested that ‘there is no evidence of effi -
cient human-to-human transmission. Scientifi c
opinion about whether H5N1 will become
better adapted is mixed’ (Offi ce of Health
Protection 2006:12). However, although
the media and government narratives of cer-
tainty are opposed, the government’s concept
of uncertainty does not effect to diminish the
notion of risk. Here, the fact that scientists are
uncertain about the future and effects of AI
only tends to reinforce the notion that we have
been caught unprepared. This narrative there-
fore fi ts in with the tendency for societies to
perceive a health threat as more risky where
Sudeepa Abeysinghe and Kevin White
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cause concern. Perhaps as a reaction to such ten-
sions, though the primary narrative is that of
the ability of scientifi c progress to remove these
uncertainties, there is also a competing secondary
narrative. This is appreciable in various instances
where AI is treated as more complex than a
solely technical/scientifi c issue. Furthermore,
in the appendix of the Plan, a narrative of the
fl uid nature of scientifi c facts is also expressed.
This includes the acknowledgement of shifts in
scientifi c thinking (Offi ce of Health Protection
2006:50) and addresses the ‘current evidence’ of
the effi cacy of antivirals. It is even suggested here
(and not in the main document) that the best use
of antivirals may be in a containment strategy:
…there is no conclusive data showing that anti- viral treatment can save lives. In the absence of such evidence, some individuals with pan- demic infl uenza will receive treatment, because it can decrease the spread of the virus (Offi ce of Health Protection 2006:49).
The use of antivirals to control pandemic
spread (and not primarily as treatment) is an
interesting concept, but one which is likely to be
controversial. It is perhaps telling that this narra-
tive of antivirals as containment is not introduced
in the main document (where a symbolic argu-
ment of antivirals as treatment is presented) but
only in the appendix. Thus, although scientifi c
dominance is evident throughout AI narratives,
the position of science and scientifi c industries
in coping with the risk is generally symbolic and
somewhat confl icted.
CONCLUSION This research demonstrates the social location of
contemporary debates surrounding pandemics
in socio-historical collective memories. Utilising
the work of Durkheim on social representations
and of Beck on risk, it was shown how these two
theoretical constructs can be useful heuristically:
social representations and risks are synergisti-
cally refl exive, and we show how this process
has manifested itself in this particular case study.
that a vaccine which ‘gives good protection
against a pandemic virus can only be developed
after that strain appears’, yet it is also maintained
in the very next paragraph that:
…it is possible that a vaccine using the [cur- rent] H5N1 strain of infl uenza may give partial protection if that strain changes and spreads more easily among humans…The government is committed to buying a substantial amount of the H5N1 vaccine [against the current strain] as soon as it is proven safe and effective. (Offi ce of Health Protection 2006:13).
Note the numerous qualifi ers (possible, may,
partial, if) that indicate the uncertainty of the
proposition that a vaccine using the current
strain will be effective. However, despite this high
degree of uncertainty, the government had made
a sizable economic commitment to stockpil-
ing these vaccines. This decision is replicated in
the case of antiviral medications. Here it is sug-
gested that ‘evidence about the effectiveness of
antivirals is limited and mixed’ (Offi ce of Health
Protection 2006:13), however:
…antivirals may have some effectiveness in preventing infection and in treating pandemic infl uenza. Antivirals have received much atten- tion in Australia as a possible response…the National Medical Stockpile includes one of the largest per capita supplies of antivirals any- where in the world (Offi ce of Health Protection 2006:13).
Again, although the government acknowl-
edges that the effi cacy of antiviral use is question-
able, a commitment is made to the stockpiling of
this medication.
However, although it is evident that the gov-
ernment subscribes to these symbolic industries,
it is also clear throughout the Pandemic Plan that
these measures raise numerous questions. It is
not only the effi cacy, but also the timing of the
administration of medication, the possibility of
viral adaptation causing antiviral resistance, and
the equitable distribution of medication which
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The Australian (2005) ‘EU scrambles as bird fl u moves west’ 15 October 2005: 19.
The Australian (2007) ‘Bird fl u to strike UK exports’ 6 February 2007: 8.
Barry, J. M. (2004) The great infl uenza: The epic story of the deadliest plague in history Penguin: London.
Bartholomew, D. J. (1995) ‘What is statis-
tics?’ Journal of the Royal Statistical Society 158(1):1–20.
Bashford, A. (2002) ‘At the border: Contagion,
immigration, nation’ Australian Historical Studies 120:345–348.
Bashford, A.; and Strange, C. (2003) ‘Isolation
and exclusion in the modern world’ in Strange,
C. and Bashford, A. (eds) Isolation: Places and practices of exclusion Routledge, London: pp. 1–21.
Beck, U. (1992) Risk society: Towards a new moder- nity Sage Publications: London.
Best, J. (2001) Damned lies and statistics: Untangling numbers from the media, politi- cians, and activists University of California: Berkeley.
Best, J. (2008) ‘Birds – dead and deadly: Why
numeracy needs to address social construction’
Numeracy 1(1):1–14. Bita, N. (2006) ‘All eyes on the enemy waiting by
our door’ The Australian 8 July 2006: 24. Cresswell, A. (2006) ‘Bird fl u sparks multi-
talented infections test’ The Australian 25 February 2006: 28.
Cresswell, A.; and Murphy, K. (2005) ‘Qantas
asked to bring Aussies home if bird fl u strikes’
The Australian 27 October 2005: 1. Crosby, A. W. (1976) Epidemic and peace
Greenwood Press: Westport.
Dayton, L. (2005) ‘Science races bird fl u clock’
The Australian 29 October 2005: 28. Douglas, M. (1992) Risk and blame: Essays in cul-
tural theory Routledge: London. Durkheim, E. (1915 [1965]) The elementary forms of
the religious life Free Press: New York. Eccleston, R. (2005) ‘Pandemic on the wing’ The
Australian 9 September 2005: 15. Edy, J. (1999) ‘Journalistic uses of collective
memory’ Journal of Communications Spring 49 (2):71–85.
Two sources of social representations of Avian
Infl uenza were analysed. The government and
the media sources analysed here have similari-
ties and differences. Both produce narratives
situating avian infl uenza through the collective
memory of the (catastrophic) Spanish Infl uenza
pandemic. However, while the media emphasise
threat and risk and calls for a scientifi c, antiviral-
based solution, the government is more circum-
spect and neither amplifi es the risk nor promises
solutions which cannot be delivered. This leaves
it with a problem which is resolved by appeal to
the symbolic industries of risk prevention; in this
case the antivirals. Hence symbolic representa-
tions of disease lead to symbolic solutions. Future
research in this area could move into other sub-
stantive areas of sociological interest, mobilising
both the theoretical and methodological frame-
works established in this paper. In particular this
includes the shaping of the pandemic discourse
by other stakeholders such as pharmaceutical
companies, who given the emphasis antiviral
and vaccines, are likely to be key to the pan-
demic response. Other research could also focus
on the way in which representations of disease
act as barometers of social integration, for exam-
ple, examining the attribution of blame through
exclusionary discourses.
ACKNOWLEDGEMENTS The authors would like to thank the anony-
mous reviewers of this paper for their helpful
comments and forbearance during the review
process.
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