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Scarlet Fever

Scarlet Fever hits Family

According to 'The Bignells and the Pomeroy's of Broadwindsor',  Charles Pomeroy, born on 9 July 1867 at Church Lane Farnham was {Page 4 note 35} 'The first of a succession of childhood deaths in the family resulting from an epidemic of scarlet fever}. He died at the same place on 11 September 1869. About 14 months old. The information does not explicitly state which Farnham.

William Bailey Pomeroy, b 1864 in Farnham had died a few days earlier on 29 August 1868. A mear fortnight between them, but not specifically mentioned as being Scarlet Fever.

Best seen as a table, in 1868, the children of Daniel Pomeroy b 3 April 1831 {according to a Family Bible} and Edith Jane Bailey b 1838/9, ;-

 Name  Born  Birth Place  Death  Death Place  Age  Interval
 William Bailey Pomeroy  1864  Farnham  29 August 1868  Farnham  4 years  
 Charles Pomeroy  9 July 1867  Church Lane Farnham  11 September 1868  Church Lane Farnham  14 Months  13 days
 Israel John Pomeroy  Q 4 1861  Beaminster  17 September 1868  Farnham  7 years  6 days
 Edith Harriet Pomeroy  1865  Church Lane Farnham   18 September 1868  Church Lane Farnham  3 years  1 day
             
 Henry (Harry) Pomeroy  30 June 1858  Bradford Peverell  Survived    10 years  
 Joseph Pomeroy  5 February 1860   Bradford Peverell  Survived    8 years  

 Four children in one family lost in three weeks. That must have been unimaginably devastating. All at the time when Edith Jane was approximatly 13 weeks pregnant with Walter. Two of the six children survived.

Daniel and Edith went on to have two more children, although Walter George Pomeroy b 5 March 1869 in Farnham probably died in infancy. Dan Pomeroy together with his elder brothers went on to have families of their own. 

 

The dynamics of scarlet fever epidemics in England and Wales in the 19th century.

Duncan CJ1, Duncan SR, Scott S.
Author information
School of Biological Sciences, University of Liverpool, UK.

Abstract
There was a marked rise in scarlet fever mortality in England and Wales in the mid-nineteenth century and spectral analysis of the registration details, 1847-80, shows that the interepidemic interval was 5-6 years, but after 1880 the endemic level fell and the fatal epidemics disappeared. The dynamics of the scarlet fever epidemics can be represented by a linearized mathematical model and because the system is lightly damped, it could be driven by an oscillation in susceptibility. Epidemics were significantly correlated with dry conditions in spring/summer (P < 0.001), suggesting that these produced a low amplitude oscillation in susceptibility which drove the system. Epidemics also correlated (P < 0.001) with an oscillation in wheat prices but at a lag of 3 years, suggesting that malnutrition during pregnancy caused increased susceptibility in the subsequent children which interacted synergistically with seasonal dry conditions. Scarlet fever mortality was sharply reduced after 1880 in parallel with falling wheat prices suggesting that the remarkable period of high scarlet fever mortality (1840-80) was dependent on poor nutritive levels during that time.

 

 

 


 

 

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Tithe Apportionment Updates

 

Dec 2025 Jan 2026

Not updates on the Tithes, but on what I do with them and the process I use.

I have recently completed the Nursling Tithe Apportionment spreadsheet and used the data to create an ESRI Story Map as part of the Nursling One Place Study.

The spreadsheet used to record the data needed reworking as the Agreement had Leese and Lessor in addition to Landowner and Occupier.

All the previous Tithe Apportionment spreadsheets were built on the previous, apart from the first one obviously, Similar but different.

I though I had enough examples to make it worth creating a Template from the Nursling Tithe Apportionment spreadsheet.

Which I have done.

I am now reworking all the previous Tithe Apportionment parish spreadsheets to fit the template. Hopefully, I wont have to change the structure of the template to accommodate the earlier data. If I do have to, I will have to repeat the cycle of reworking until, it all fits harmoniously.

 

The idea is still to keep the spreadsheets as separate entities, and datasets, but to use Excel Power Query and Data Manager, to absorb all of the data into a single dataset from which all information can be compared and filtered, all within the same system and schema.

 

One Drive has been reconfigured accordingly, together with the concept as pulling together Census data and Parish Register data, such as baptisms. The later two are in early stages of development so there will be more about that here later.

 

The first Tithe Apportionment spreadsheet being remastered is Millbrook. It is not a short process.

 

 

 

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There have been a lot of behind the scene changes, some of which have impacted what you can see and how you see it.

I have been chasing down those changes since the upgrade.

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