- Menu
- 1. Environnement, longévité et mortalité
- 2. How to assess longevity?
- 3. Life span 73
- 4. How to assess longevity?
- 5. Biomedical Gerontology
- 6. French Women 1816 - 2016
- 7. Actual and modeled distribution of Age at death
- 8. Modeled distributions of the ages at death according to the French life table for the year 1816 (right panel) vs. the year 2016 (left panel), France, for 100.000 females at birth. Sources: HMD and IDL.
- 9. Various indicators of longevity, French women 1816 - 2016. Sources: HMD and IDL
- 10. Mme Jeanne Louise Calment
- 11. Nikolay Zak's "report"
- 12. Evidence that Jeanne Calment died in 1934- not 1997
- 13. Some of Novoselov’s and Zak’s arguments The impossibility of living to the age of 122 JC’s lack of frailty on photos of her JC’s eye color differ on ID and other photos JC’s size decrease too little from 1930 to 1990 JC’s confusing statements about maids etc. The motive for a fraud: avoiding inheritance taxation YC’s was not enumerated in the 1931 census YC’s death certificate was based on a sole witness YC’s funeral was almost hidden
- 14. The real facts supporting Jeanne Calment as the oldest ever human
- 15. Individual observations and statistical indicator of maximum life span (MLS)
- 16. conservation des hypothèques
- 17. Donation
- 18. Modeling of the mortality risk of the 1875 and 1903 birth cohorts
- 19. Equations
- 20. Simulation's result
- 21. Yvonne Calment in 1931
- 22. Summary of JC's affair
- 23. Factors that may impact mortality and longevity
- 24. Death toll exceeded 70,000 in Europe during the summer of 2003
- 25. Background
- 26. Method
- 27. Map of the countries involved
- 28. Method
- 29. Seasonality of deaths in Europe (reference period 1998-2002)
- 30. Excess daily deaths during the summer 2003
- 31. Accumulation of excess daily deaths during summer 2003
- 32. Taking care of the living ones
- 33. Taking care of the deads
- 34. Summary
- 35. Excess male mortality and age-specific mortality trajectories under different mortality conditions
- 36. Aim
- 37. Daily mortality experience by the method of Tukey (1977)
- 38. Sex mortality rate ratio by age, according to 5 or 3 levels of mortality experience over the summers of 1998-2002
- 39. Exceptionally high mortality rates during summers of 2003 as compared to 1998-2002, by sex and age
- 40. Summary
- 41. Long-term projections and acclimatization scenarios of temperature-related mortality in Europe
- 42. Aim
- 43. Method
- 44. M vs T in Europe (1998-2003)
- 45. M vs apparent T (=T+H )
- 46. M vs apparent T (=T+H ) N = 54 areas
- 47. Method
- 48. Summary
- 49. Evaluation of an Early-warning system for heat wave-related mortality in Europe
- 50. Aim
- 51. Area under the ROC curve (AUC) and associated 95% confidence intervals for the binary event of exceeding the emergency mortality threshold of the 75th percentile in each of the 54 regions for the heat wave scenario (1–15 August 2003)
- 52. ROC curves for the binary event of exceeding the emergency mortality threshold of the 75th percentile in each of the 54 regions for the heat wave scenario (1–15 August 2003), using the probabilistic mortality model driven by forecast apparent temperature data
- 53. Figure 3
- 54. Summary
- 55. European seasonal mortality and influenza incidence due to winter temperature variability
- 56. Aim
- 57. Triple relationship between temperature, influenza and mortality.
- 58. Regression coefficient between daily temperature and mortality for winter (December to March) days (daily cases per million per 1 °C).
- 59. Results
- 60. effet of the great recession on regional mortality trends in Europe
- 61. Background
- 62. Aim
- 63. Method
- 64. Recent evolution of macroeconomic and health indicators □ beginning ◊ 2007 ○end
- 65. Recession (2008–2010) versus expansion (2000–2007))
- 66. Summary
- 67. Summary
- 68. Conclusion
- 69. Conclusion
- 70. Conclusion
- 71. Collaborations