Additional file 1 of Disease burden and attributable risk factors of neonatal disorders and their specific causes in China from 1990 to 2019 and its prediction to 2024
Creators: name: Wu, Yuhang
name: Xia, Fan
name: Chen, Mengshi
name: Zhang, Senmao
name: Yang, Ziqi
name: Gong, Ziqiang
name: Zhou, Xuan
name: Chen, Lizhang
name: Wang, Tingting
Publisher: name: figshare
Year: 2023
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Cancer
Science Policy
Computational Biology

description: Additional file 1: Table S1. All-age number and age-standardized rate of all measures for neonatal preterm birth and percentage changes by gender in China, 1990 and 2019. Table S2. All-age number and age-standardized rate of all measures for neonatal encephalopathy due to birth asphyxia and trauma and percentage changes by gender in China, 1990 and 2019. Table S3. All-age number and age-standardized rate of all measures for neonatal sepsis and other neonatal infections and percentage changes by gender in China, 1990 and 2019. Table S4. All-age number and age-standardized rate of all measures for hemolytic disease and other neonatal jaundice and percentage changes by gender in China, 1990 and 2019. Table S5. Prediction of age-standardized rate (per 100,000) of all six measures for neonatal preterm birth for the next 5 years according to ARIMA models with 95% confidence interval in China. Table S6. Prediction of age-standardized rate (per 100,000) of all six measures for neonatal encephalopathy due to birth asphyxia and trauma for the next 5 years according to ARIMA models with 95% confidence interval in China. Table S7. Prediction of age-standardized rate (per 100,000) of all six measures for neonatal sepsis and other neonatal infections for the next 5 years according to ARIMA models with 95% confidence interval in China. Table S8. Prediction of age-standardized rate (per 100,000) of all six measures for hemolytic disease and other neonatal jaundice for the next 5 years according to ARIMA models with 95% confidence interval in China. Table S9. ARIMA model parameters and their corresponding AIC and BIC for prediction of age-standardized rate (per 100,000) of all six measures for neonatal disorders for the next 5 years in China. Table S10. Points estimated and 95% uncertainty interval of attributable number and age-standardized rate of risk factors for neonatal preterm birth by gender in China, 2019. Table S11. Points estimated and 95% uncertainty interval of attributable number and age-standardized rate of risk factors for neonatal encephalopathy due to birth asphyxia and trauma by gender in China, 2019. Table S12. Points estimated and 95% uncertainty interval of attributable number and age-standardized rate of risk factors for neonatal sepsis and other neonatal infections by gender in China, 2019. Table S13. Points estimated and 95% uncertainty interval of attributable number and age-standardized rate of risk factors for hemolytic disease and other neonatal jaundice by gender in China, 2019. Figure S1. The trend of all-age number of all six measures for neonatal preterm birth in China from 1990 to 2019. Figure S2. The trend of all-age number of all six measures for neonatal encephalopathy due to birth asphyxia and trauma in China from 1990 to 2019. Figure S3. The trend of all-age number of all six measures for neonatal sepsis and other neonatal infections in China from 1990 to 2019. Figure S4. The trend of all-age number of all six measures for hemolytic disease and other neonatal jaundice in China from 1990 to 2019. Figure S5. The trend of age-standardized rate of all six measures for neonatal preterm birth in China from 1990 to 2019. Figure S6. The trend of age-standardized rate of all six measures for neonatal encephalopathy due to birth asphyxia and trauma in China from 1990 to 2019. Figure S7. The trend of age-standardized rate of all six measures for neonatal sepsis and other neonatal infections in China from 1990 to 2019. Figure S8. The trend of age-standardized rate of all six measures for hemolytic disease and other neonatal jaundice in China from 1990 to 2019. Figure S9. Age-standardized percentage of attributable number of risk factors of four measures for neonatal preterm birth by gender in China, 2019. Figure S10. Age-standardized percentage of attributable number of risk factors of four measures for neonatal encephalopathy due to birth asphyxia and trauma by gender in China, 2019. Figure S11. Age-standardized percentage of attributable number of risk factors of four measures for neonatal sepsis and other neonatal infections by gender in China, 2019. Figure S12. Age-standardized percentage of attributable number of risk factors of four measures for hemolytic disease and other neonatal jaundice by gender in China, 2019.