| Literature DB >> 20052315 |
Hilary J Bambrick1, Rosalie E Woodruff, Ivan C Hanigan.
Abstract
BACKGROUND: Climate change is expected to promote more intense and prolonged outbreaks of vector-borne disease, and alter the geographic boundaries of transmission. This has implications for the safety and supply of fresh blood products around the world. In Australia, a recent outbreak of dengue fever caused a prolonged regional shortage in the supply of fresh blood products.Entities:
Keywords: Australia; blood supply; climate change; dengue fever; vector-borne disease
Year: 2009 PMID: 20052315 PMCID: PMC2802100 DOI: 10.3402/gha.v2i0.2059
Source DB: PubMed Journal: Glob Health Action ISSN: 1654-9880 Impact factor: 2.640
.Map of Australian States and Territories showing the location of the 2009 dengue outbreak centred around the towns of Cairns and Townsville.
.Areas suitable in Australia for dengue transmission in 2100 under four climate change scenarios (>50% likelihood of transmission).
.The number of people living in regions in Australia at high risk (>50%) of dengue transmission under four climate change scenarios. Scenarios: 1, Hot (dry); 2, Hot (median humidity); 3, Hot (wet); 4, Warm (strong mitigation).
Percentage change in numbers of people living in transmission-risk areas, selected years
| Year | Hot (dry) | Hot (median) | Hot (wet) | Warm (strong mitigation) |
|---|---|---|---|---|
| 2020 | +55 | +55 | +55 | +55 |
| 2050 | +114 | +114 | +114 | +114 |
| 2070 | +313 | +332 | +332 | +124 |
| 2100 | +1,500 | +1,680 | +2,500 | +133 |
Estimated annual numbers of new dengue infections under the four climate scenarios
| Year | Hot (dry) | Hot (median) | Hot (wet) | Warm (strong mitigation) |
|---|---|---|---|---|
| 2020 | 360–1,766 | 360–1,766 | 360–1,766 | 360–1,766 |
| 2050 | 495–2,429 | 495–2,429 | 495–2,429 | 495–2,429 |
| 2070 | 960–4,710 | 1,005–4,931 | 975–4,784 | 525–2,576 |
| 2100 | 3,720–18,253 | 4,140–20,314 | 5,948–29,182 | 540–2,650 |
aUsing ‘population at risk’ projections (Fig. 3). Lower estimate is calculated from average annual incidence rate 1991–2007; upper estimate is calculated from the much larger 2008–2009 outbreak.
Note. These upper estimates are likely to be conservative in a climate changed future as they do not consider changes to transmission intensity or a shift from an epidemic to endemic pattern of disease.
Australia's blood donors by state/territory and population distribution
| State/Territory | Australia's ‘regular’ donors (%) | Australian population (%) |
|---|---|---|
| New South Wales | 36.5 | 33.7 |
| Victoria | 22.1 | 24.8 |
| Queensland | 18.8 | 18.8 |
| Western Australia | 6.6 | 7.7 |
| South Australia | 10.4 | 9.9 |
| Tasmania | 1.7 | 2.4 |
| Australian capital territory | 2.7 | 1.0 |
| Northern Territory | 1.0 | 1.6 |
Proportion of the population within each dengue-risk state living in transmission areas under the four scenarios
| Proportion of state/territory population living in dengue risk areas | |||||
|---|---|---|---|---|---|
| Scenario | State/Territory | 2020 | 2050 | 2070 | 2100 |
| Hot and dry | Queensland | 0.06 | 0.06 | 0.15 | 0.61 |
| Western Australia | – | – | 0.02 | 0.02 | |
| Northern Territory | 0.46 | 0.46 | 0.46 | 0.46 | |
| Hot (median humidity) | Queensland | 0.06 | 0.06 | 0.15 | 0.69 |
| Western Australia | – | – | 0.02 | 0.02 | |
| Northern Territory | 0.46 | 0.46 | 0.46 | 0.46 | |
| Hot and wet | Queensland | 0.06 | 0.06 | 0.15 | 0.93 |
| Western Australia | – | – | 0.02 | 0.04 | |
| Northern Territory | 0.46 | 0.46 | 0.46 | 1.00 | |
| New South Wales | – | – | – | 0.03 | |
| Strong mitigation | Queensland | 0.06 | 0.06 | 0.06 | 0.06 |
| Northern Territory | 0.46 | 0.46 | 0.46 | 0.46 | |
Note: This proportion is extrapolated from the current pattern of residence and no allowances have been made for future contributions from internal migration.
Projected decline in blood supply in Australian States and Territories with high risk transmission regions, and nationally
| Decline in state's blood supply during an outbreak (%) | Total national decline in blood supply (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Scenario | State/Territory | 2020 | 2050 | 2070 | 2100 | 2020 | 2050 | 2070 | 2100 |
| Hot and dry | Queensland | 6 | 6 | 15 | 61 | 2 | 2 | 3 | 12 |
| Western Australia | – | – | 2 | 2 | |||||
| Northern Territory | 46 | 46 | 46 | 46 | |||||
| Hot (median humidity) | Queensland | 6 | 6 | 15 | 69 | 2 | 2 | 3 | 14 |
| Western Australia | – | – | 2 | 2 | |||||
| Northern Territory | 46 | 46 | 46 | 46 | |||||
| Hot and wet | Queensland | 6 | 6 | 15 | 93 | 2 | 2 | 3 | 20 |
| Western Australia | – | – | 2 | 4 | |||||
| Northern Territory | 46 | 46 | 46 | 100 | |||||
| New South Wales | – | – | – | 3 | |||||
| Strong mitigation | Queensland | 6 | 6 | 6 | 6 | 2 | 2 | 2 | 2 |
| Northern Territory | 46 | 46 | 46 | 46 | |||||
Average annual public health costs (millions $AUS) under the four scenarios for selected years, based on cost per person living in regions at risk
| Year | Hot (dry) | Hot (median) | Hot (wet) | Warm (strong mitigation) |
|---|---|---|---|---|
| 2020 | 1.35 | 1.35 | 1.35 | 1.35 |
| 2050 | 1.87 | 1.87 | 1.87 | 1.87 |
| 2070 | 3.61 | 3.78 | 3.78 | 1.96 |
| 2100 | 13.99 | 15.57 | 22.36 | 2.04 |
Average annual number of lost workdays under the four scenarios, based on days per person living in regions at risk
| Year | Hot (dry) | Hot (median) | Hot (wet) | Warm (strong mitigation) |
|---|---|---|---|---|
| 2020 | 2,400 | 2,400 | 2,400 | 2,400 |
| 2050 | 3,300 | 3,300 | 3,300 | 3,300 |
| 2070 | 6,400 | 6,700 | 6,700 | 3,500 |
| 2100 | 24,800 | 27,600 | 39,700 | 3,600 |
| No action | Strong action | |||
| Scenario | 1 Hot and dry | 2 Hot, median humidity | 3 Hot and wet | 4 Warm |
| Global average temperature increase (°C) | ~4.5 | ~4.5 | ~4.5 | ~2 |
| Humidity | Low | Median | High | Median |