Putting a Price on Climate Change: The Cost of Climate Change and Foodborne Diseases in Queensland in Quality-Adjusted Life Years and Dollars

Stephen, Dimity

doi:10.5204/thesis.eprints.107853

Cited by 2 publications

(3 citation statements)

References 113 publications

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“… Note: The precise transition probabilities between health states by age, sex, and year under climate change, which correspond to the incidence rates of health conditions, are available in Appendix L of Stephen ( 2017 ). ABS, Australian Bureau of Statistics; BOM, Australian Bureau of Meteorology; DSITI, Queensland Department of Science, Information Technology, and Innovation; FY, financial year; GP, general practitioner; PI-IBS, post-infectious irritable bowel syndrome; QGSO, Queensland Government Statistician’s Office; RACGP, Royal Australian College of General Practitioners; ReA, reactive arthritis; WHO, World Health Organization; WP, West Pacific.…”

Section: Methodsmentioning

confidence: 99%

“… Note: Transitions between salmonellosis and death were set to occur in 0.04% of cases for all age groups and both sexes; however, this resulted in no deaths in either the baseline or the climate change scenario. For incidence rates of salmonellosis under climate change, which varied by age, sex, and year between 2016 and 2036 based on the projected weather and weather–salmonellosis association derived through the method described in “Methods,” see Appendix L of Stephen ( 2017 ). NA, not applicable; PI-IBS, post-infectious irritable bowel syndrome; ReA, reactive arthritis.…”

Section: Methodsmentioning

confidence: 99%

“…One aim of this study was to show the application of a microsimulation model, including key methodological choices. For a more detailed discussion of methodological details, we recommend Stephen ( 2017 ). The R code to implement the model is available on Figshare ( https://figshare.com/articles/Annotated_microsimulation_R_code/4876853 ) and in the Supplemental Materials.…”

Section: Introductionmentioning

confidence: 99%

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Using Microsimulation to Estimate the Future Health and Economic Costs of Salmonellosis under Climate Change in Central Queensland, Australia

Stephen

Barnett

2017

Environ Health Perspect

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Background:The incidence of salmonellosis, a costly foodborne disease, is rising in Australia. Salmonellosis increases during high temperatures and rainfall, and future incidence is likely to rise under climate change. Allocating funding to preventative strategies would be best informed by accurate estimates of salmonellosis costs under climate change and by knowing which population subgroups will be most affected.Objective:We used microsimulation models to estimate the health and economic costs of salmonellosis in Central Queensland under climate change between 2016 and 2036 to inform preventative strategies.Methods:We projected the entire population of Central Queensland to 2036 by simulating births, deaths, and migration, and salmonellosis and two resultant conditions, reactive arthritis and postinfectious irritable bowel syndrome. We estimated salmonellosis risks and costs under baseline conditions and under projected climate conditions for Queensland under the A1FI emissions scenario using composite projections from 6 global climate models (warm with reduced rainfall). We estimated the resulting costs based on direct medical expenditures combined with the value of lost quality-adjusted life years (QALYs) based on willingness-to-pay.Results:Estimated costs of salmonellosis between 2016 and 2036 increased from 456.0 QALYs (95% CI: 440.3, 473.1) and AUD29,900,000 million (95% CI: AUD28,900,000, AUD31,600,000), assuming no climate change, to 485.9 QALYs (95% CI: 469.6, 503.5) and AUD31,900,000 (95% CI: AUD30,800,000, AUD33,000,000) under the climate change scenario.Conclusion:We applied a microsimulation approach to estimate the costs of salmonellosis and its sequelae in Queensland during 2016–2036 under baseline conditions and according to climate change projections. This novel application of microsimulation models demonstrates the models’ potential utility to researchers for examining complex interactions between weather and disease to estimate future costs. https://doi.org/10.1289/EHP1370

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using Microsimulation to Estimate the Future Health and Economic Costs of Salmonellosis under Climate Change in Central Queensland, Australia

Stephen

Barnett

2017

Environ Health Perspect

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The relationship between temperature and infectious gastrointestinal diseases in Queensland, Australia

Ghazani¹

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Putting a Price on Climate Change: The Cost of Climate Change and Foodborne Diseases in Queensland in Quality-Adjusted Life Years and Dollars

Abstract: This is the author's version of a work that was submitted/accepted for publication in the following source:Stephen, Dimity M. (2017) Putting a price on climate change: The cost of climate change and foodborne diseases in Queensland in quality-adjusted life years and dollars. PhD thesis,

Cited by 2 publications

References 113 publications

Using Microsimulation to Estimate the Future Health and Economic Costs of Salmonellosis under Climate Change in Central Queensland, Australia

Using Microsimulation to Estimate the Future Health and Economic Costs of Salmonellosis under Climate Change in Central Queensland, Australia

The relationship between temperature and infectious gastrointestinal diseases in Queensland, Australia

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