An inverse stage-shift model to estimate the excess mortality and health economic impact of delayed access to cancer services due to the COVID-19 pandemic.
Koen DegelingNancy N BaxterJon David EmeryMark E JenkinsFanny FranchiniPeter GibbsGregory B MannGrant A McArthurBenjamin J SolomonMaarten J IJzermanPublished in: Asia-Pacific journal of clinical oncology (2021)
The health and economic impacts of delays in treatment initiation cause an imminent policy concern. More accurate individual patient data on shifts in stage of disease during and after the COVID-19 pandemic are critical for further analyses.
Keyphrases
- healthcare
- public health
- mental health
- health information
- primary care
- papillary thyroid
- cardiovascular events
- health promotion
- electronic health record
- type diabetes
- case report
- high resolution
- cardiovascular disease
- human health
- big data
- squamous cell carcinoma
- squamous cell
- risk assessment
- machine learning
- life cycle
- data analysis
- climate change