Counting COVID Deaths
Estimating the excess deaths
- To get the number of deaths from all causes in a defined time period and compare it with the same time period of the previous years. (Time period = specific months or a year)
- "Excess" death are all deaths beyond what is considered "normal" for that area and time; during a disaster(pandemic-covid) excess deaths are attributed to direct/indirect causes of the disaster
- It is an indirect approach
- The difference between actual mortality rate and the expected death rate gives an estimate of the Covid toll
Causes of deaths when 'excess deaths' were estimated were -
- Deaths due to Covid infections
- Deaths due to delayed or deferred healthcare
- Mental health disorders, alcohol/drug use
- Fatalities among chronically ills with cardiovascular or respiratory ailments who succumbed to Covid instead of their other chronic medical conditions
- Lower fatalities due to accidents (as a result of lockdowns - not many people went out)
- Lower fatalities due to other viruses (as a result of lockdown, social distancing, etc.)
Need for accurate death data
- To understand the magnitude of the pandemic
- To identify and classify vulnerability age groups
- Helps in better management of disaster and saving lives
- To identify the real cause of deaths - death rate can be high not only because of COVID, but also because of oxygen shortages, lack of ventilators (lack of health infrastructure), and other diseases (which in normal circumstances could be saved with normal hospitalization)
- For impact analysis
- Different estimates leads to confusion among policy makers and the public
- Accurate data provides valuable information to policymakers developing response & recovery plans
Why do we need the "excess" death approach for counting COVID-19 deaths?
- Direct counting of COVID deaths is problematic, i.e., it is challenging to keep track due to the pace of death rate.
- Undercounting of deaths due lower testing and reporting - with excess death approach the severity of the pandemic/disaster can be assessed
- Lack of credibility and availability of statistics across the world
- Excess death analysis includes - (all these, below, should be considered under impact analysis)
- COVID deaths
- Deaths as a consequence of COVID pandemic
- Deaths due to lack of healthcare infra - beds, ICUs, ventilators, etc.
- Lack of resources during pandemic - eg. Oxygen, medicines, etc.
- Lack of man-power
- gives a better look at cause-specific deaths
Why is the death count underestimated?
- Poor healthcare infrastructure
- Inadequate record keeping
- Limited access to healthcare facilities
- General under-reporting of deaths
- Political interference
Some Important Facts
- Data released by 'Mumbai Corporation of Greater Mumbai' shows 22% excess deaths during 2020 in Mumbai region.
- Analysis of data of 2.32 lakh households by the CMIE (Centre for Monitoring Indian Economy Pvt. Ltd.) found that excess deaths between May and August 2020 (4months) numbered almost twice as many as compared with the same period in past years.
- Data from the Civil Registration System (CRS) of district Faridabad in Haryana, with 100% registration of deaths in the past few years, found that 7% higher deaths have been reported in 2020 as compared to 2016-19, with a 17% increase in deaths above 60 years, during the pandemic peak in the district. This shows us that older population is more vulnerable to COVID.
- Deaths have been under-reported in almost every country. In India, as of June 2021, excess death approach shows the death count to be above 6 lakhs while the no of deaths reported are just above 2 lakhs
Is excess death approach flawless?
No.
- There are problems associated with the application of this model across geographies & demographics
- Although the overall estimate may be robust, estimates at regional level are highly inaccurate because of extremely uneven quality of data available
- Dip in testing rates may cause the lowering of case count which influence the count of casualties attributed to Covid
- There is wide variation in test rates across regions which contribute to regional inaccuracies
- Eg- Bihar's test rates were lower than that of Delhi's, Kerala's & Maharashtra's during the 2nd wave. The case count and the death toll in Bihar are likely to deviate from the real numbers far more widely than the other States
- The actual covid deaths in Maharashtra & Kerala is higher than the official figure, but the extent of the undercount is much smaller than in the rest of the country. This is because of better health reporting & surveillance system in these 2 states.
- It is likely to miss the extent of undercount due to lack of data
Apart from ranking countries based on casualties, there is a need to group countries based on either income or geographical lines, etc. to get a clearer picture of the extent of Covid deaths/undercounts
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