Karnataka covid case: Covid-19: Karnataka testing most skewed of 5 states | Bengaluru News – Times of India

BENGALURU: Karnataka’s testing effort, which overfocuses on capital Bengaluru, appears to be the most skewed among states with the highest Covid-19 caseload. Tests are more evenly distributed in Tamil Nadu, Maharashtra, Andhra Pradesh and Kerala, covering mostly all regions.

To date, Karnataka has conducted more than 1.3 crore Covid-19 tests. Of these, more than 50 lakh have been done in Bengaluru alone. This is twice the number of samples analysed in Mumbai and Chennai, which have a bigger population than Bengaluru.
Andhra’s capital region comprises areas from two districts, Guntur and Krishna. Unlike in Karnataka, the gap between the tests conducted in the capital region and those in other districts is not wide.
Collectively, the five states have analysed 5.9 crore samples, which is 35.2 per cent of the 16.8 crore Covid-19 tests conducted in India. The five account for 52.7 lakh, or 51.6 per cent, of more than 1 crore cases in the country.
Forty per cent of Karnataka’s tests were done in Bengaluru. The capital cities of the other four states account for less than 20 per cent of the total tests.
TOI had reported in the last week of November that Karnataka needs to shift its focus to districts beyond Bengaluru. The state’s test numbers crossed the 1-crore mark in November and at the time, experts recommended that testing should be ramped up in districts which had shown low virus exposure in serosurveys. The state technical advisory committee also said that at least 1.2 lakh tests must be conducted each day till the end of February 2021. Of these, 1 lakh should be RT-PCR ones.
Though health officials have started paying more attention to other districts, more than 40,000 out of the state’s 1 lakh daily tests are still carried out in Bengaluru.
According to officials and experts TOI contacted, if there is a second wave of coronavirus infections, it is likely to affect other districts more. But they clarified that no prediction can be completely accurate.


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Sagar Biswas

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