Additional file 1 of Effects of meteorological factors on influenza transmissibility by virus type/subtype
Creators: name: Yan, Ze-Lin
name: Liu, Wen-Hui
name: Long, Yu-Xiang
name: Ming, Bo-Wen
name: Yang, Zhou
name: Qin, Peng-Zhe
name: Ou, Chun-Quan
name: Li, Li
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Additional file 1. Definition of influenza epidemics. Models. Fig. S1. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza epidemic used in the gamma regression analysis. Fig. S2. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H1N1)pdm09 epidemic used in the gamma regression analysis. Fig. S3. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H3N2) epidemic used in the gamma regression analysis. Fig. S4. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza B epidemic used in the gamma regression analysis. Table S1. Results of Wald tests of the statistical significance of each meteorological factor. Table S2. Summary statistics of the estimates of daily instantaneous effective reproductive number when using different conversion rates to calculate influenza incidence. Fig. S5. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza epidemic when setting the conversion rate to 0.5. Fig. S6. Estimates of daily instantaneous effective reproductive reproduction number (Rt) for each influenza A(H1N1)pdm09 epidemic when setting the conversion rate to 0.5. Fig. S7. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H3N2) epidemic when setting the conversion rate to 0.5. Fig. S8. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza B epidemic when setting the conversion rate to 0.5. Fig. S9. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza epidemic when setting the conversion rate to 0.05. Fig. S10. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H1N1)pdm09 epidemic when setting the conversion rate to 0.05. Fig. S11. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H3N2) epidemic when setting the conversion rate to 0.05. Fig. S12. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza B epidemic when setting the conversion rate to 0.05. Fig. S13. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza epidemic when setting the conversion rate to 0.005. Fig. S14. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H1N1)pdm09 epidemic when setting the conversion rate to 0.005. Fig. S15. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H3N2) epidemic when setting the conversion rate to 0.005. Fig. S16. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza B epidemic when setting the conversion rate to 0.005. Table S3. Summary statistics of the estimates of daily instantaneous effective reproductive number when assuming different means and standard deviations of the serial interval. Fig. S17. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H1N1)pdm09 epidemic when assuming the mean and standard deviation of serial interval were 3.3 and 1.7, respectively. Fig. S18. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H3N2) epidemic when assuming the mean and standard deviation of serial interval were 3.3 and 1.7, respectively. Fig. S19. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza B epidemic when assuming the mean and standard deviation of serial interval were 3.3 and 1.7, respectively. Fig. S20. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza epidemic when assuming the mean and standard deviation of serial interval were 2.6 and 1.5, respectively. Fig. S21. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H1N1)pdm09 epidemic when assuming the mean and standard deviation of serial interval were 2.6 and 1.5, respectively. Fig. S22. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza A(H3N2) epidemic when assuming the mean and standard deviation of serial interval were 2.6 and 1.5, respectively. Fig. S23. Estimates of daily instantaneous effective reproductive number (Rt) for each influenza B epidemic when assuming the mean and standard deviation of serial interval were 2.6 and 1.5, respectively. Fig. S24. Exposure-response curves of the associations of daily instantaneous effective reproductive number (Rt) with various climatic variables when setting the conversion rate to 0.5. Fig. S25. Exposure-response curves of the associations of daily instantaneous effective reproductive number (Rt) with various climatic variables when setting the conversion rate to 0.05. Fig. S26. Exposure-response curves of the associations of daily instantaneous effective reproductive number (Rt) with various climatic variables when setting the conversion rate to 0.005. Fig. S27. Exposure-response curves of the associations of daily instantaneous effective reproductive number (Rt) with various climatic variables when setting the mean and standard deviation of serial interval for influenza to 3.3 and 1.7, respectively. Fig. S28. Exposure-response curves of the associations of daily instantaneous effective reproductive number (Rt) with various climatic variables when setting the mean and standard deviation of serial interval for influenza to 2.6 and 1.5, respectively. Fig. S29. Exposure-response curves of the associations of daily instantaneous effective reproductive number (Rt) with various climatic variables when considering data from maximum 8 weeks either side of each epidemic peak. Fig. S30. Exposure-response curves of the associations of daily instantaneous effective reproductive number (Rt) with various climatic variables when considering data from maximum 10 weeks either side of each epidemic peak. Table S4. Comparisons of studies which assessed the association between meteorological factors and influenza transmissibility.