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Tamil Nadu provides detailed information on its fatalities in its daily bulletin
I scraped that data (Jul-1 to Sep-10).
This thread contains a preliminary analysis, and a comparison with Karnataka/Odisha (at the end) @epigiri
I scraped that data (Jul-1 to Sep-10).
This thread contains a preliminary analysis, and a comparison with Karnataka/Odisha (at the end) @epigiri
Age-Profile
mean age: 63.1 yrs
Very clear clustering in the 60-80 yrs range
The Mean age has increased significantly from July-Sep
mean age: 63.1 yrs
Very clear clustering in the 60-80 yrs range
The Mean age has increased significantly from July-Sep
Gender-Profile
Male : 71.9%
Female: 27.6%
Fraction of Males in daily deaths has increased slowly over time
Male : 71.9%
Female: 27.6%
Fraction of Males in daily deaths has increased slowly over time
Co-Morbidiites:
63.7% of deaths had co-morbidities
36.2% of deaths had NO co-morbidities
Common ones,
Diabetes : 41%
Hypertension : 29%
Kidney disease: 6%
63.7% of deaths had co-morbidities
36.2% of deaths had NO co-morbidities
Common ones,
Diabetes : 41%
Hypertension : 29%
Kidney disease: 6%
Admission-Death interval
The time between a patient's admission to hospital and death is a measure of quality of hospital-care as well as early-detectionn
46% of TN's deaths occur within 2 days of admission
The time between a patient's admission to hospital and death is a measure of quality of hospital-care as well as early-detectionn
46% of TN's deaths occur within 2 days of admission
mean Admission-Death interval ~ 5.4 days
The distribution has a long tail (some patients spend several weeks in hosp.)
it has risen significantly from July-Sep
The distribution has a long tail (some patients spend several weeks in hosp.)
it has risen significantly from July-Sep
Death-Reporting inteval
A quantitative measure of size of TN's reporting "backlog". Its the time between death and actual reporting in state bulletin
Mean ~ 2 days
It has fallen from July-Sep
A quantitative measure of size of TN's reporting "backlog". Its the time between death and actual reporting in state bulletin
Mean ~ 2 days
It has fallen from July-Sep
Chennai vs Rest of TN (RoTN):
Chennai's mean age of fatalities is consistently higher than RoTN
CHN : 65.1 yrs
RoTN: 61.4 yrs
Chennai's mean age of fatalities is consistently higher than RoTN
CHN : 65.1 yrs
RoTN: 61.4 yrs
Fraction of Males is slightly lower in Chennai
CHN : 70%
RoTN: 72%
CHN : 70%
RoTN: 72%
Co-morbidities
A much higher fraction of Chennai's deaths had co-morbidities
CHN : 72%
RoTN: 60%
A much higher fraction of Chennai's deaths had co-morbidities
CHN : 72%
RoTN: 60%
Admission-Death interval
Consistently higher in Chennai, corresponding to availability of better hospital care in the capital
Mean,
CHN : 6.7 days
RoTN: 4.8 days
Consistently higher in Chennai, corresponding to availability of better hospital care in the capital
Mean,
CHN : 6.7 days
RoTN: 4.8 days
Death-Reporting interval
Chennai reports deaths more prompty vs RoTN
CHN : 1.7 day
RoTN: 2.2 days
Chennai reports deaths more prompty vs RoTN
CHN : 1.7 day
RoTN: 2.2 days
Comparison with Karnataka and odisha:
- TN has the highest mean-age of deaths, OD lowest
- OD has the highest fraction of Male deaths
- TN's deaths with no comorb. are higher
- TN's A-D inteval is higher than KA
- TN's reporting lag is lower
https://twitter.com/shananalla/status/1304728660776071168
- TN has the highest mean-age of deaths, OD lowest
- OD has the highest fraction of Male deaths
- TN's deaths with no comorb. are higher
- TN's A-D inteval is higher than KA
- TN's reporting lag is lower
https://twitter.com/shananalla/status/1304728660776071168
One important caveat here is that TN and KAR are in different stages of their epidemics, and most of KAR's metrics (mean age,A-D interval,R-D interval) have improved from Aug to Sep.
Common:
- Mean age of deaths is rising with time in all 3 states
Common:
- Mean age of deaths is rising with time in all 3 states
One thing thats hard to miss is the very high fraction of diabetics among deaths in all 3 states. Why does diabetes increase risk of death so much? @anupampom @amitsurg @giridar100 @drcheruvarun https://twitter.com/kprabhdeep/status/1304653709436047360
Bulletins -> https://stopcorona.tn.gov.in/daily-bulletin/
Source code -> https://github.com/grill05/covid19india_data_parser
Parsed TN deaths dataset (CSV format) -> https://github.com/grill05/covid19india_data_parser/blob/master/TN_fatalities_Jul1_Sep10.csv
Source code -> https://github.com/grill05/covid19india_data_parser
Parsed TN deaths dataset (CSV format) -> https://github.com/grill05/covid19india_data_parser/blob/master/TN_fatalities_Jul1_Sep10.csv
@anupampom @muradbanaji @rijomjohn @amitsurg @giridar100 @menonbiophysics @oommen @rukmini @covid19indiaorg @spacem0nk3y @countthedead @ShamikaRavi @BhramarBioStat @thattai @vishuguttal @rsidd120 @jamewils @UllasKolthur @drpugazh @kprabhdeep @gkangind @jebujohn @vincentrk
