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Deaths in English Lower Super Output Areas (LSOA) Show Patterns of very Large Shifts Indicative of a Novel Recurring Infectious Event


Affiliations
1 Healthcare Analysis and Forecasting, Honister Walk, Camberley, United Kingdom
 

Deaths in the UK and other Western countries show 12 month periods of unexplained and consistently higher deaths. Excess cold/heat or winter infectious outbreaks cannot explain why deaths would remain high for 12 months, and then suddenly shift back to a 'normal'. This study looks at annual deaths (all-cause mortality) between 2001 and 2013 for males and females in over 32,000 English Lower Super Output Areas (LSOA). Some 40% of LSOA showed at least one instance of a year to year change exceeding +2.5 standard deviations equivalent difference (compared with only 0.7% due to chance). The magnitude of the maximum difference was highest in women. Particular years showed evidence of a widespread switch to higher deaths. In very small social networks the maximum step-like change in deaths exceeds a + 300% increase. An event of alarming magnitude is showing a recurring time series similar to a slow-moving 'novel' infectious outbreak.

Keywords

Emerging Infectious Outbreaks, All-Cause Mortality, Immune Impairment, Cytomegalovirus, Medical Admissions, Gender.
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  • Deaths in English Lower Super Output Areas (LSOA) Show Patterns of very Large Shifts Indicative of a Novel Recurring Infectious Event

Abstract Views: 172  |  PDF Views: 88

Authors

Rodney P. Jones
Healthcare Analysis and Forecasting, Honister Walk, Camberley, United Kingdom

Abstract


Deaths in the UK and other Western countries show 12 month periods of unexplained and consistently higher deaths. Excess cold/heat or winter infectious outbreaks cannot explain why deaths would remain high for 12 months, and then suddenly shift back to a 'normal'. This study looks at annual deaths (all-cause mortality) between 2001 and 2013 for males and females in over 32,000 English Lower Super Output Areas (LSOA). Some 40% of LSOA showed at least one instance of a year to year change exceeding +2.5 standard deviations equivalent difference (compared with only 0.7% due to chance). The magnitude of the maximum difference was highest in women. Particular years showed evidence of a widespread switch to higher deaths. In very small social networks the maximum step-like change in deaths exceeds a + 300% increase. An event of alarming magnitude is showing a recurring time series similar to a slow-moving 'novel' infectious outbreak.

Keywords


Emerging Infectious Outbreaks, All-Cause Mortality, Immune Impairment, Cytomegalovirus, Medical Admissions, Gender.