| Autor: |
Leandro L. Matos, Carlos Henrique Q. Forster, Gustavo N. Marta, Gilberto Castro Junior, John A. Ridge, Daisy Hirata, Adalberto Miranda-Filho, Ali Hosni, Alvaro Sanabria, Vincent Gregoire, Snehal G. Patel, Johannes J. Fagan, Anil K. D’Cruz, Lisa Licitra, Hisham Mehanna, Sheng-Po Hao, Amanda Psyrri, Sandro Porceddu, Thomas J. Galloway, Wojciech Golusinski, Nancy Y. Lee, Elcio H. Shiguemori, José Elias Matieli, Ana Paula A. C. Shiguemori, Letícia R. Diamantino, Luiz Felipe Schiaveto, Lysia Leão, Ana F. Castro, André Lopes Carvalho, Luiz Paulo Kowalski |
| Rok vydání: |
2020 |
| Popis: |
Purpose: The rapid spread of the SARS-CoV-2 pandemic around the world caused most healthcare services to turn substantial attention to treatment of these patients and also to alter the structure of healthcare systems to address an infectious disease. As a result, many cancer patients had their treatment deferred during the pandemic, increasing the time to treatment initiation, the number of untreated patients (which will alter the dynamics of healthcare delivery in the post-pandemic era) and increasing their risk of death. Hence, we analyzed the impact on global cancer mortality considering the decline in oncology care during the COVID-19 outbreak using head and neck cancer, a known time-dependent disease, as a model. Methods: An online practical tool capable of predicting the risk of cancer patients dying due to the COVID-19 outbreak and also useful for mitigation strategies after the peak of the pandemic has been developed, based on a mathematical model. The scenarios were estimated by information of 15 oncological services worldwide, given a perspective from the five continents and also some simulations were conducted at world demographic data. Results: The model demonstrates that the more that cancer care was maintained during the outbreak and also the more it is increased during the mitigation period, the shorter will be the recovery, lessening the additional risk of dying due to time to treatment initiation. Conclusions: This impact of COVID-19 pandemic on cancer patients is inevitable, but it is possible to minimize it with an effort measured by the proposed model. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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