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2294 part 1 final report.pdf - Agra CEAS Consulting

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Prevention and control of animal diseases worldwide<br />

Part I: Economic analysis: prevention versus outbreak costs<br />

To assess the potential impact of a human pandemic caused by a likely mutation of the HPAI H5N1 virus<br />

to humans, the literature draws extensively on the three most documented cases of human flu in the 20 th<br />

century as well as the most recent experience of a human pandemic scare -- the SE Asian severe acute<br />

respiratory syndrome (SARS). Latest estimates indicate that the “Spanish” flu outbreak of 1918 could<br />

have been responsible for the deaths of 50 million people, or 2.5% of the population of the time (A292).<br />

SARS revealed the scale and speed of the consumer/tourist response to even a limited outbreak: Asia’s<br />

loss in regional GDP was US$18 billion in 2003 or 0.6 percentage points of the GDP growth rate in a<br />

region otherwise described as a booming economy 90 (ADB estimates, A198).<br />

A problem with this analysis is that pandemics behave highly unpredictably, which explains why during<br />

previous pandemics great variations were seen in mortality, severity of illness, and patterns of spread. The<br />

mortality of the previous century’s three pandemics varied enormously, from less than 1 million to some<br />

50 million deaths. One consistent feature <strong>report</strong>ed in all cases, nonetheless, has been the rapid surge in the<br />

number of fatalities and their exponential increase over a very brief time, often measured in weeks.<br />

Best-case scenarios (WHO), modelled on the mild pandemic of 1968, project global excess deaths in the<br />

range 2 million to 7.4 million. Other estimates that factor in a more virulent virus, similar to that<br />

responsible for the deadly 1918 pandemic, estimate much higher numbers of deaths. Both scenarios are<br />

scientifically valid (A261). The differences arise from assumptions about the inherent virulence of the<br />

virus, which past experience has shown to vary greatly. In the <strong>final</strong> analysis, it is impossible to predict<br />

with any accuracy the impact that the next pandemic will have. However, all estimates, from the best-case<br />

to the worst-case scenario, suggest that losses would be very extensive.<br />

Recent econometric modelling based mainly on demographic data from countries of the Asia Pacific<br />

region 91 suggests that a global influenza pandemic will have potentially large and disparate macroeconomic<br />

consequences. Depending on the severity and duration of the pandemic, it may cost the world<br />

1.4 to 142.2 million lives, causing global GDP to fall - at least temporarily - by 0.8% to 12.6% which<br />

represents a loss of some US$330 billion to $US 4.4 trillion (A10).<br />

Based on the SARS experience in Southeast Asia, the World Bank estimates that an avian influenza<br />

pandemic could lead to a 2% drop in world GDP and cost the world economy US$ 800 billion in one year<br />

(all losses including wider society morbidity and mortality) (A292) 92 .<br />

Recent ADB-ERD simulations (A90, A290) estimate the potential economic impact of an avian flu<br />

pandemic on 9 Asian countries at $113 billion (or 2.6% of their 2006 GDP), under a scenario of a mild<br />

90 Much of the loss was linked to a rapid decline in travel and tourism, a fast growing sector now worth some US$<br />

1.5 trillion per year, nearly 4% of global GDP. Losses also rose sharply in leisure industries and retailing.<br />

91 Based on an Asia Pacific model consisting of 20 countries and 6 economic sectors.<br />

92 Earlier (1999) estimates for the US alone, put the cost of a flu pandemic at US$100 to US$200 million (in present<br />

value) depending on the assumptions (A5). The World Bank extrapolates from these figures to other developed<br />

countries coming to a global loss of US$ 500 million in present value (A185). It is emphasised, however, that these<br />

costs do not include losses in the developing countries and that it would be inappropriate to make a simple<br />

extrapolation from studies of rich developed countries to relatively poor developing countries where health systems<br />

are less developed and mortality could be much higher.<br />

Civic <strong>Consulting</strong> • <strong>Agra</strong> <strong>CEAS</strong> <strong>Consulting</strong> 88

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