Generated on 2021-08-16

Introduction

Monitoring excess mortality provides understanding of the impact of COVID-19 during the course of the pandemic and beyond. Excess mortality in this report is defined as the number of deaths throughout the pandemic which are above the number expected based on mortality rates in earlier years.

In this report the expected number of deaths is modelled using five years of data from preceding years to estimate the number of deaths we would expect on each week through the pandemic. Excess deaths are estimated by week and in total since 21 March 2020, based on the date each death was registered rather than when it occurred. Excess deaths are presented by age, sex, Upper Tier Local Authority, ethnic group, level of deprivation, cause of death and place of death. Please note, some of the figures in this report have been rounded, though the differences displayed are based on unrounded data.

All Persons

Weekly excess deaths by date of registration, South West.‎

Figure 1: Weekly excess deaths by date of registration, South West.‎

The trend in total excess deaths by week, in South West, since week ending 27 March 2020 is shown in Figure 1. Numbers above each of the columns show the total number of excess deaths and how these compare with the expected number based on modelled estimates for 2015 to 2019. For example, in week ending 24 April 2020 there were 681 excess deaths and this was over one and a half times (1.55 times higher) the expected number of deaths in this week. When fewer deaths than expected occur in a week, the column is coloured grey.

Excess deaths where COVID-19 was mentioned on the death certificate are shown in orange. If the number of deaths is not shown in the orange part of the column, that means the total excess was less than the number of deaths with a mention of COVID-19, indicating fewer deaths from other causes than expected in these weeks.

The number of excess deaths without COVID-19 mentioned on the certificate (shown in the white part of the column) may be due to an increase in deaths from other causes during the period of the pandemic but may also reflect under-reporting of deaths involving COVID-19.

Cumulative deaths since 21 March 2020, by date of registration, South West.

Figure 2: Cumulative deaths since 21 March 2020, by date of registration, South West.

The trend in the total cumulative number of excess deaths in South West since 21 March 2020 is shown in Figure 2.

Age Group Males

Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by age group, males, South West.

Figure 3: Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by age group, males, South West.

Figure 3A for males can be used to compare the cumulative total of excess deaths since 21 March 2020 between age groups.

Figure 3B compares the cumulative total of excess deaths among males with the number which would have been expected based on the modelled estimates for earlier years. Where the ratio of registered to expected is negative, this is shown in grey. The proportion of the excess where COVID-19 was mentioned on the death certificate is shown in yellow.

Table 1 - Males
Age group (years) Registered deaths Expected deaths Ratio registered / expected Excess deaths COVID-19 deaths COVID-19 deaths as % excess
0-24 316 359 -* −43 1 -
25-49 1,589 1,464 1.09 125 53 42.3%
50-64 4,448 4,137 1.08 311 351 >100%+
65-74 7,321 7,331 -* −10 671 -
75-84 13,050 12,427 1.05 623 1,450 >100%+
85+ 15,204 13,469 1.13 1,735 1,900 >100%+
Total 41,928 39,186 1.07 2,742 4,426 >100%+

* registered deaths were not significantly different from expected deaths for the time period

+ the total excess was less than the number of deaths with a mention of COVID-19, indicating fewer deaths from other causes than expected



Why ratios are important

Ratios can be useful for comparing between groups when the expected number is very different between groups.

For example, if group A had 5 excess deaths and group B had 10, it could appear that the impact was twice as high in group B. However, if the expected number of deaths was 1 in group A and 5 in group B, and the registered numbers of deaths were 6 and 15 respectively, then the ratios would show that group A experienced 6 times the number of deaths compared to expected, while group B experienced 3 times the number expected. Therefore, the actual relative impact is higher in group A.

The ratios presented in this report are relative to historical trends within each group, and not in relation to another group. For example, in the ethnicity section the ratio for the Asian group is the ratio between deaths in this group registered in 2020 and the estimate of expected deaths in the Asian group based on the preceding 5 years. It is not the ratio between the Asian group and another ethnic group.

Age Group Females

Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by age group, females, South West.

Figure 4: Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by age group, females, South West.

Figure 4A for females can be used to compare the cumulative total of excess deaths since 21 March 2020 between age groups.

Figure 4B shows the ratio of the registered to the expected deaths by age group among females since 21 March 2020. This chart can be used to compare the relative excess mortality between age groups.

Table 2 - Females
Age group (years) Registered deaths Expected deaths Ratio registered / expected Excess deaths COVID-19 deaths COVID-19 deaths as % excess
0-24 207 227 -* −20 0 -
25-49 957 880 -* 77 38 49.3%
50-64 3,007 2,866 -* 141 190 >100%+
65-74 5,087 5,271 -* −184 342 -
75-84 10,365 10,450 -* −85 992 -
85+ 21,872 19,619 1.11 2,253 2,415 >100%+
Total 41,495 39,312 1.06 2,183 3,977 >100%+

* registered deaths were not significantly different from expected deaths for the time period

+ the total excess was less than the number of deaths with a mention of COVID-19, indicating fewer deaths from other causes than expected

Ethnic Group Males

Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by ethnic group, males, South West.

Figure 5: Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by ethnic group, males, South West.

Figure 5A for males can be used to compare the cumulative total of excess deaths since 21 March 2020 between ethnic groups.

Figure 5B shows the ratio of the registered to the expected deaths by ethnic group among males since 21 March 2020. This chart can be used to compare relative excess mortality between ethnic groups.

Table 3 - Males
Ethnic group Registered deaths Expected deaths Ratio registered / expected Excess deaths COVID-19 deaths COVID-19 deaths as % excess
Asian 223 227 -* −4 51 -
Black 188 169 -* 19 42 >100%+
Mixed 89 109 -* −20 12 -
Other 191 161 -* 30 32 >100%+
White 40,667 38,021 1.07 2,647 4,268 >100%+

* registered deaths were not significantly different from expected deaths for the time period

+ the total excess was less than the number of deaths with a mention of COVID-19, indicating fewer deaths from other causes than expected



Ethnic Group Females

Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by ethnic group, females, South West.

Figure 6: Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by ethnic group, females, South West.

Figure 6A for females can be used to compare the cumulative total of excess deaths since 21 March 2020 between ethnic groups.

Figure 6B shows the ratio of the registered to the expected deaths by ethnic group among females since 21 March 2020. This chart can be used to compare relative excess mortality between ethnic groups.

Table 4 - Females
Ethnic group Registered deaths Expected deaths Ratio registered / expected Excess deaths COVID-19 deaths COVID-19 deaths as % excess
Asian 168 197 -* −29 34 -
Black 149 147 -* 1 21 >100%+
Mixed 89 81 -* 8 10 >100%+
Other 193 103 1.86 89 16 18.4%
White 40,306 38,291 1.05 2,015 3,887 >100%+

* registered deaths were not significantly different from expected deaths for the time period

+ the total excess was less than the number of deaths with a mention of COVID-19, indicating fewer deaths from other causes than expected



Ethnicity coding

Ethnicity is not collected at death registration, so these estimates were made by linking death records to hospital records to find the ethnicity of the deceased. This approach has some limitations. Ethnicity is supposed to be self-reported by the patient in hospital records, but this may not always be the case. Patients may also report different ethnicities in different episodes of care. For this analysis the most recent reported ethnic group was used. Population estimates have been used to calculate mortality rates to estimate the expected numbers of deaths, and these were based on the 2011 Census. This may lead to a mismatch between ethnicity reported in hospital records and self-reported ethnicity in the census. It appears, for example, that more people are assigned to the ‘Other’ group in hospital records than in the 2011 Census.

Deprivation

Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by deprivation quintile, South West.

Figure 7: Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by deprivation quintile, South West.

Figure 7A can be used to compare the cumulative total of excess deaths since 21 March 2020 between deprivation quintiles.

Figure 7B shows the ratio of the registered to the expected deaths by deprivation quintile since 21 March 2020. This chart can be used to compare relative excess mortality between deprivation quintiles.

Table 5
Deprivation quintile Registered deaths Expected deaths Ratio registered / expected Excess deaths COVID-19 deaths COVID-19 deaths as % excess
Quintile 1 - Most Deprived 8,948 8,637 1.04 311 887 >100%*
Quintile 2 17,047 16,982 -+ 65 1,588 >100%*
Quintile 3 21,573 20,405 1.06 1,168 2,001 >100%*
Quintile 4 19,571 18,029 1.09 1,542 2,064 >100%*
Quintile 5 - Least Deprived 16,284 14,446 1.13 1,838 1,863 >100%*

* the total excess was less than the number of deaths with a mention of COVID-19, indicating fewer deaths from other causes than expected

+ registered deaths were not significantly different from expected deaths for the time period

Upper Tier Local Authority

Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by Upper Tier Local Authority, South West.

Figure 8: Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by Upper Tier Local Authority, South West.

Figure 8A can be used to compare the cumulative total of excess deaths since 21 March 2020 between Upper Tier Local Authorities.

Figure 8B shows the ratio of the registered to the expected deaths by Upper Tier Local Authority since 21 March 2020. This chart can be used to compare relative excess mortality between Upper Tier Local Authorities.

Table 6
Upper Tier Local Authority Registered deaths Expected deaths Ratio registered / expected Excess deaths COVID-19 deaths COVID-19 deaths as % excess
Bath and North East Somerset 2,528 2,245 1.13 283 308 >100%*
Bournemouth, Christchurch and Poole 6,628 5,833 1.14 795 988 >100%*
Bristol, City of 4,890 4,493 1.09 397 651 >100%*
Cornwall 9,013 8,738 -+ 275 593 >100%*
Devon 12,322 12,219 -+ 103 782 >100%*
Dorset 6,781 6,289 1.08 492 610 >100%*
Gloucestershire 9,391 8,679 1.08 712 1,205 >100%*
North Somerset 3,419 3,324 -+ 95 387 >100%*
Plymouth 3,591 3,483 -+ 108 238 >100%*
Somerset 9,006 8,514 1.06 492 815 >100%*
South Gloucestershire 3,498 3,218 1.09 280 430 >100%*
Swindon 2,662 2,440 1.09 222 354 >100%*
Torbay 2,576 2,453 -+ 123 175 >100%*
Wiltshire 7,118 6,583 1.08 535 867 >100%*

* the total excess was less than the number of deaths with a mention of COVID-19, indicating fewer deaths from other causes than expected

+ registered deaths were not significantly different from expected deaths for the time period

Deaths by cause

See ICD10 references for the details of the ICD10 codes for each cause in this section.

Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by cause of death, South West.

Figure 9: Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B) by cause of death, South West.

Figure 9A shows the total cumulative excess deaths with mention of specific causes anywhere on the death certificate since 21 March 2020. The chart can be used to compare the number of excess deaths for each cause.

This chart can be used to compare the cumulative total of excess deaths since 21 March 2020 between causes.

Figure 9B shows the ratio of the registered to the expected deaths by cause of death since 21 March 2020. This chart can be used to compare relative excess mortality between causes mentioned anywhere on the death certificate.

Table 7
Cause of death mentioned on death certificate Registered deaths Expected deaths Specific cause deaths (underlying cause) COVID-19 deaths (underlying cause) Excess deaths Ratio registered / expected
Ischaemic Heart Diseases 13,688 12,993 7,792 798 695 1.05
Cerebrovascular Diseases 8,186 7,611 4,731 524 575 1.08
Other Circulatory Diseases 24,692 22,885 6,959 1,773 1,807 1.08
Heart Failure 9,267 8,209 1,572 570 1,058 1.13
Cancer 24,497 24,244 21,700 602 253 -*
Acute Respiratory Infections 13,517 14,696 2,920 2,885 −1,179 0.92
Chronic Lower Respiratory Diseases 7,804 7,883 2,953 1,002 −79 -*
Other Respiratory Diseases 4,525 5,386 1,139 328 −861 0.84
Dementia and Alzheimer's 15,412 14,318 9,599 2,083 1,094 1.08
Diseases of the Urinary System 8,524 8,139 1,164 739 385 1.05
Cirrhosis and Other Liver Diseases 2,130 1,960 1,130 66 170 1.09
Diabetes 8,413 7,032 1,126 1,082 1,381 1.20
Parkinson's Disease 1,898 1,763 1,070 217 135 1.08

* registered deaths were not significantly different from expected deaths for the time period

Table 7 shows the number of registered deaths with a cause of death mentioned anywhere on the death certificate, the number expected, the excess deaths and the ratio of registered/expected deaths. It also breaks down the number of registered deaths with that cause registered on the death certificate by the number where the cause was the underlying cause and the number where COVID-19 was the underlying cause.

Place of Death

Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B), by place of death, South West.

Figure 10: Cumulative excess deaths (A) and the ratio of registered deaths to expected deaths (B), by place of death, South West.

Figure 10A shows the total cumulative excess deaths in each place of death since 21 March 2020. The chart can be used to compare the numbers of excess deaths in each place of death. This chart can be used to compare the cumulative total of excess deaths since 21 March 2020 between places of death.

Figure 10B shows the ratio of the registered to the expected deaths in each place of death since 21 March 2020. This chart can be used to compare relative excess mortality between places of death.

Table 8
Place of death Registered deaths Expected deaths Ratio registered / expected Excess deaths COVID-19 deaths COVID-19 deaths as % excess
Care Home (Nursing or Residential) 22,113 20,869 1.06 1,244 3,126 >100%*
Home 25,941 20,714 1.25 5,227 443 8.5%
Hospice 3,104 4,092 0.76 −988 46 -
Hospital (Acute or Community, not Psychiatric) 30,033 30,913 0.97 −880 4,735 -
Other Places 2,232 2,146 -+ 86 53 61.7%

* the total excess was less than the number of deaths with a mention of COVID-19, indicating fewer deaths from other causes than expected

+ registered deaths were not significantly different from expected deaths for the time period

Comparisons to other measures of excess deaths in England

The Office for National Statistics also publishes a weekly report on excess deaths in England & Wales. The numbers reported by ONS are broadly in line with the overall excess death figures in this report but there are some differences as the ‘expected’ numbers in this report are not just the simple five-year average for 2015 to 2019, as used by ONS. As explained in the Methods, they are instead modelled estimates which adjust for factors such as the ageing of the population and the underlying trend in mortality rates from year to year.

PHE produces other estimates of excess mortality using the daily General Register Office model and the EuroMOMO model. These are reviewed in this blog.

Updates to Excess Mortality Methodology, December 2020

Several changes to the models were introduced in the regional report from January 2020:

The methodology document has been updated to reflect these changes.

ICD10 references

Cause description ICD10 reference
Ischaemic heart diseases All mentions of I20-I25
Cerebrovascular diseases All mentions of I60-I69
Other circulatory diseases All mentions beginning with I (excluding I20-I25 and I60-I69)
Heart failure All mentions of I11.0, I25.5, I42.0, I42.9, I50.0, I50.1, I50.9
Cancer All mentions of C00-C97
Acute respiratory infections All mentions of J00-J22
Chronic lower respiratory diseases All mentions of J40-J47
Other respiratory diseases All mentions beginning with J (excluding J00-J22 and J40-J47)
Dementia and Alzheimer’s All mentions of F01, F03, or G30
Diseases of the urinary system All mentions of N00-N39
Cirrhosis and other liver diseases All mentions of K70-K76
Diabetes All mentions of E10-E14
Parkinson’s disease All mentions of G20

Back to underlying cause of death section

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