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Heterogeneous impact of the COVID-19 pandemic on lung, colorectal and breast cancer incidence in Hungary: results from time series and panel data models.

Péter ElekMarcell CsanádiPetra Fadgyas-FreylerNóra GervaiRita Oross-BécsiBalázs Szécsényi-NagyManna TatárBalázs VáradiAntal Zemplényi
Published in: BMJ open (2022)
The decline in new cancer diagnoses, caused by a combination of supply-side and demand-side factors, suggests that some cancer cases have remained hidden. It calls for action by policy makers to engage individuals with high risk of cancer more in accessing healthcare services, to diagnose the disease early and to prepare for effective management of patient pathways from diagnosis to survival or end-of-life care.
Keyphrases
  • healthcare
  • papillary thyroid
  • squamous cell
  • public health
  • mental health
  • childhood cancer
  • risk factors
  • machine learning
  • artificial intelligence
  • health insurance
  • big data
  • deep learning
  • data analysis