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CRICOS #00212K
Outline
Systems thinking – and the “milieu” for epidemics
“Neoliberalism”, inequality, demography and the rise of magical thinking
3 case studies as warnings
1. Ebola in West Africa 2. Sanitation in India 3. The future
What we might do
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Damascus, 2014. Line for food aid from UN Relief and Works Agency in a great city - large parts of which have been destroyed by civil war, along with basic food supply infrastructure
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integrative
interactive, feedbacks, thresholds
(emergence, phase changes, shocks )
context – milieu – “terrain”
Systems thinking
1313
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15
Milieu and the
Adapted from Oxford et al Lancet Inf Diseases 2002; 2:111-4
2.5% global mortality (with bacterial co-infections)
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“Washington Consensus”(neo-liberalism, Reaganomics, etc)
Reduce subsidies
Broaden tax base – cut marginal tax rates
Deregulation – reduce protection
Reduced role for the state
http://www.who.int/trade/glossary/story094/en/
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Share of income received by top 1% (UNCTAD, 2012)
Keynesianism – dominant, Primary Health Care – health systems approach
“Health for all by 2000”
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Inequality – essential – but thresholds exist
Envy, risk of “blowback” not main problem
-matters even if living standards of poor rise slightly
matters if/when elites lose touch with the poor and rig (shape) society so that “public goods” erode
(eg public health, development, climate system, biodiversity, eventually global law and order)
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Some ways the powerful “rig” the system, harming public goods*
1. Own, control, influence media*2. Excessive influence on policy*3. Ignore big tax evaders4. Encourage social norms blaming poor5. Cut foreign aid *6. Promote loyal academics *7. Ignore, imprison, or murder dissidents** (not just neoliberalism)
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Demography, inequality, magical thinking
1. Reliance on market will provide public goods (including public health)
2. Ridicule “Limits to Growth”
3. Fallacious doctrine (conceit) of capital substitutability
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Demography, inequality, magical thinking
Inequality, in one boatDanger of sinkingHypocrisy, loss of connection with poor
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Demography and politics
1. Deny role of slowing population growth rate in development process
2. Conceit that ingenuity more important than resources
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Orthodoxy: 1950s-early 1980s
High population growth impedes economic takeoff
30
US President Lyndon Johnson
“… less than five dollars invested in population control (sic) is worth a hundred dollars invested in economic growth”
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World Population: 0-2012
31
31
infection (plague),
undernutrition, unfavourable
climate
Borlaug’s warning
Le Bras: “problem a bit passé”
Reagan: problem “vastly exagerated”
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3 case studies as warnings
1. Ebola in West Africa
2. Sanitation in India
3. The future
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Eric Gweah, 25, grieves as he watches a Red Cross burial team remove the body of his father, Ofori Gweah, 62, a suspected
Ebola victim (photograph Daniel Berehulak) http://news.nationalgeographic.com/news/2014/10/141005-ebola-quammen-west-
africa-dallas-gates-foundation/
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EBOLA “recipe” (milieu) West Africa – 3 stages
Social, economic, demographic and ecological factors (determinants) for all three
stages
1: increased viral load in the reservoir?
2: increased human – virus contact
3. viral “takeoff” in human population
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Does adverse ecological change (forest clearing, climate change, cave mining?) stress bats – hence higher bat viral load – more spillover?
Hansen et al, 2013
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Does adverse ecological change (forest clearing, climate change, cave mining?) stress bats – hence higher bat viral load – more spillover?
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More poverty, people, protein demand
more roads, forest clearing, mining
Palm oil?
more human-bushmeat contact including hunting (whether bats or primates)
? Intermediary factor, eg pigs?
EBOLA human-virus contact(West Africa) (stage 2)
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More poverty, people, protein demand
more roads, forest clearing, mining
Palm oil?
more human-bushmeat contact including hunting (whether bats or primates)
? Intermediary factor, eg pigs?
EBOLA human-virus contact(West Africa) (stage 2)
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EBOLA human-virus contact(West Africa) (stage 2)
kimberlite diamond pit mine, Sierra Leone, Photo: David Levene
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EBOLA human spread factors (West Africa) (stage 3)
1. Cultural unfamiliarity, though virus apparently long present
2. Relatively high population density and mobility
3. Poor health system
4. Poverty, history of conflict
5. Slow international response
factors 3-5: related to neoliberalism
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Poor Sanitation in India May Afflict Well-Fed Children With MalnutritionBy GARDINER HARRISJULY 13, 2014 (New York Times)
Image: Daniel Berehulak, NYT
Stunting affects 1/3 of the children of wealthy Indian families?
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“cause of many of our diseases is condition of our lavatories and our bad habit of disposing of excreta anywhere and everywhere,” Gandhi 1925.
Number who defaecate outside per sq km (H Fairfield; NYT)
50 100 150 200
% stunted childen
60
50
40
30
20
10
India
Nepal
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.. Not happened in India .. It cannot happen just by constructing latrines ..you really need a large social campaign..
.. Indian Hindu culture: latrines supposed to cleaned by people regarded as unclean caste .. The stigma remains .. Who will clean the pits of cheap latrines?
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“Planetary Boundaries”
A safe operating space for humanity
Steffen et al, 2015
What does this mean for society? And for health?
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2007−10 drought .. worst recorded .. widespread crop failure, mass urban migration.
human forcing .. increased probability severe, persistent droughts in this region
We conclude human influences on climate system implicated in the current
Syrian conflict.
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rapid public health response*limited antimicrobial resistance, but increasing nutrition ok
public health breakdownnutrition worseliving conditions worseconflict increasing?
Could civilisation failure “breed” a megapandemic?
* At least for diseases perceived threats to high income populations
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What we can do
1. Form coalitions – among colleagues, with other disciplines and with other groups
2. Strive to challenge neoliberalism and magical thinking
3. Keep optimistic but not complacent