2022
DOI: 10.3389/fpubh.2022.908955
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The systematic analysis and 10-year prediction on disease burden of childhood cancer in China

Abstract: BackgroundThere is a lack of in-depth analysis regarding the disease burden of childhood cancer in China. Indeed, this is the first time the topic has been addressed in detail. Drawing on population-based data for the past 30 years, this study systematically analyzes the composition and long-term trend of this disease burden in China.MethodsGBD 2019 contained population-based data from 1990 to 2019 and was prepared using Microsoft Excel 2016. We used AAPC and ARIMA models for trend analysis and prediction form… Show more

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Cited by 3 publications
(4 citation statements)
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References 34 publications
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“…The ARIMA model was selected for its robustness in handling non‐stationary time series data and its widespread use in healthcare forecasting. Compared to other models, ARIMA provides a more nuanced understanding of time‐dependent patterns 7,8 . An optimal ARIMA model, identified using the auto ARIMA function based on the Bayesian Information Criterion (BIC), was fitted to the data.…”
Section: Methodsmentioning
confidence: 99%
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“…The ARIMA model was selected for its robustness in handling non‐stationary time series data and its widespread use in healthcare forecasting. Compared to other models, ARIMA provides a more nuanced understanding of time‐dependent patterns 7,8 . An optimal ARIMA model, identified using the auto ARIMA function based on the Bayesian Information Criterion (BIC), was fitted to the data.…”
Section: Methodsmentioning
confidence: 99%
“…For predictive time series analysis, the autoregressive integrated moving average (ARIMA) model was used for non‐stationary data in the context of the long‐term trend to forecast mortality rates till 2035, as previously. 7 The ARIMA model was selected for its robustness in handling non‐stationary time series data and its widespread use in healthcare forecasting. Compared to other models, ARIMA provides a more nuanced understanding of time‐dependent patterns.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Blood cancer, as a common malignant tumor type in children, has emerged as a major disease posing a threat to life and health ( Steliarova-Foucher et al, 2017 ). From 1990 to 2019, childhood leukemia in China accounted for over 50% of childhood cancers, consistently ranking highest in new cases and cancer-related deaths ( Zhu et al, 2022 ). During the treatment process, children with blood cancer often have to undergo long-term chemotherapy, lumbar punctures, and other invasive diagnostic and therapeutic procedures, which can cause varying degrees of pain, nausea, hair loss, and other side effects and complications ( Skeens et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%