COVID-19: A closer look at the parameters. Know which ones are important to judge the situation. See State-wise data.

Regarding COVID-19, the number of cases are largely shown through the media. Read more to see state-wise details of the number of tests, the positivity rate, and many more important parameters.

During this COVID-19 pandemic, all eyes are on the number of people infected by the virus. That is important information, but the numbers given is only the number of confirmed cases (meaning, the number of cases among the people who are tested.) There may be (or rather, will be) people infected by the virus who haven’t been tested at all. Since we can’t be sure what the real number of cases is, it is very important to look at other parameters as well. The number of people tested is one thing that is very important to know.

Scroll table right ⇒

State Tested Positive Prepared* TPR** Deaths Recoveries Date
Uttar Pradesh1029824660Mid4.5247299908/08/2020
Bihar924143741Late4.049302912/08/2020
Madhya Pradesh8027915Late0.0102021/07/2021
Tamil Nadu743445995Mid8.06101576421/08/2020
Maharashtra688816417Mid9.311371000424/10/2020
Gujarat623381381Late2.2111138329/09/2020
Odisha588133252Mid5.5214288829/08/2020
Jharkhand5221846Early0.0805121/07/2021
Andhra Pradesh469997665Mid16.3080692410/08/2020
Karnataka436267040Late16.13116668016/08/2020
Telangana387921873Mid4.829184931/08/2020
West Bengal363183232Late8.8948308822/08/2020
Assam361801856Late5.126247621/08/2020
Rajasthan351361347Early3.8311130618/08/2020
Kerala335793459Early10.3017521501/02/2021
Haryana259492277Early8.7725147106/09/2020
Punjab181561028Early5.664053515/08/2020
Delhi12323707Early5.7320107010/08/2020
Jammu and Kashmir10142532Early5.24773415/08/2020
Chhattisgarh9240752Late8.13633819/08/2020
Tripura7712457Late5.92250117/08/2021
Uttarakhand4008235Mid5.86135216/08/2020
Himachal Pradesh2314119Mid5.1408115/08/2020
Manipur2261179Late7.91319416/08/2020
Goa1736300Late17.28628716/08/2020
Arunachal Pradesh147751Late3.4502115/08/2020
Puducherry130917Early1.2901904/03/2021
Andaman and Nicobar Islands12006Late0.50319/07/2021
Nagaland53338Late7.1204219/08/2020
Meghalaya51378Late15.2004019/08/2020
Sikkim46144Late9.5401310/08/2020
Chandigarh45881Mid17.6802715/08/2020
Mizoram45756Late12.250915/08/2020
Dadra and Nagar Haveli and Daman and Diu3259Late2.7601320/10/2020
Ladakh19430Early15.461415/08/2020

Table: Daily Update

Scroll table right ⇒

*The “Prepared” parameter is defined based on when the state started finding cases. Adjustments are made for states which wouldn’t have got (unknown) cases earlier.
** Test Positivity Rate: The percentage of positive cases among the people tested

As can be seen, there is a tendency for states which are testing more to have a higher number of confirmed cases. This shows that many other states are likely to have many unknown cases. If the number of tests is low, and yet the cases are high, then it is dangerous. So it is important to know what percentage of people tested were positive. This figure is known as the Test Positivity Rate (TPR). 

States which prepared earlier will not miss out on so many cases. As they test, they get more of an idea of where to test. If a state has initially done very little testing, and then one day tests a lot, they won’t have an idea of where to do the tests. So in spite of doing a lot of testing, they will not find many cases. So it is important to know when the state got prepared. One example is with the Koyambedu market in Tamil Nadu. At the end of May, this market had become a COVID-19 hotspot. Tamil Nadu was doing aggressive testing at that time. So, the government immediately noticed the pattern and tested everyone who had been to the market. Roughly 3,000 tests were positive. This was a major hotspot (even for Andhra Pradesh). And yet, if the government had not been doing aggressive testing at that time, they may not have found out that Koyambedu market was a hotspot. Had the government not been testing aggressively at that time, almost all those cases would have been undetected. And it would have spread so much that they might not have trace the cases back to Koyambedu market.

If the number of known cases is high, it can still be contained. If the number of unknown cases is high, that number will rapidly keep increasing.

The following table has the states divided into 5 categories (Ultra Aggressive Testers, Aggressive Testers etc.).

Scroll table right ⇒

State Death-rate TPR Cases Updated on
ULTRA AGGRESSIVE TESTERS*
Tripura0.954.858144017/08/2021
Jharkhand1.473.1334682421/07/2021
Andaman and Nicobar Islands1.711.75751619/07/2021
Kerala2.009.6593263901/02/2021
Haryana3.514.6527513714/03/2021
Puducherry4.096.924403704/03/2021
Ladakh4.388.55472006/10/2020
AGGRESSIVE TESTERS
Dadra and Nagar Haveli and Daman and Diu0.124.43319420/10/2020
Madhya Pradesh1.325.7179173223/07/2021
Maharashtra8.2419.17163896124/10/2020
Punjab13.125.7412453512/10/2020
Jammu and Kashmir14.013.713137121/08/2020
Delhi16.5011.7615192815/08/2020
Uttarakhand11340.00.016530/09/2020
AVERAGE TESTERS
Telangana3.079.1512496331/08/2020
Andhra Pradesh5.799.2923552510/08/2020
Odisha7.155.869792029/08/2020
Tamil Nadu9.409.0436743021/08/2020
Arunachal Pradesh9.482.22265815/08/2020
Rajasthan13.173.306795421/08/2020
Goa235.600.75134821/08/2020
LOW TESTERS
Assam6.254.558790821/08/2020
Gujarat7.413.1213600429/09/2020
Karnataka13.9811.4326454621/08/2020
Chandigarh35.1810.43230518/08/2020
Manipur36.014.06476518/08/2020
Sikkim39.672.9191010/08/2020
Himachal Pradesh88.522.25399315/08/2020
VERY LOW TESTERS
Bihar10.657.119055312/08/2020
West Bengal13.508.8913559622/08/2020
Nagaland17.006.75355819/08/2020
Uttar Pradesh17.983.9412672210/08/2020
Mizoram25.802.7471315/08/2020
Chhattisgarh69.624.151945921/08/2020
Meghalaya71.884.21171821/08/2020

Table: State-wise Details

Scroll table right ⇒

* The testing category for states is defined using two factors: The number of tests per capita, and how early the state started preparing for the pandemic.

The TPR gives us some idea of the situation. If it is higher, the situation is likely to be more serious. However, there are other reasons for the TPR to be higher. Cities are densely populated, so the virus will spread faster. So when suspected people are tested, there is more chance that they will test positive. So in cities, the TPR will be high even if the government is searching well. It also depends on the government’s relationship with the public. In some states, people will self report if they are likely to be infected. In other states, people won’t come forward until the government tracks them down and takes them. (Just see the contrast between states in handling the Tabligi Jamaat spread The latter kind of states will show a low TPR because the government will test many people not knowing who is the correct one. But these states are actually more serious.

Therefore, it is important to know the death-rate. States which are not being able to do enough testing, generally test only serious cases. If you look at only the serious cases, the death-rate is bound to be higher. The real death-rate is actually very low and largely uniform across states. So this figure tells us which states are only testing serious cases.

Scroll table right ⇒

State Tests p/m* No. of tests Prepared Updated on
Andaman and Nicobar Islands1125721.15427711Late19/07/2021
Puducherry510668.04635508Early04/03/2021
Tripura456479.261675750Late17/08/2021
Jharkhand335680.4011066120Early21/07/2021
Kerala275019.259659492Early01/02/2021
Ladakh201262.1755204Early06/10/2020
Haryana198398.675913873Early14/03/2021
Madhya Pradesh161001.3713853243Late23/07/2021
Dadra and Nagar Haveli and Daman and Diu123066.6272088Late20/10/2020
Goa121962.12177787Late21/08/2020
Arunachal Pradesh86210.79119196Late15/08/2020
Punjab69358.052167731Early12/10/2020
Maharashtra66538.808548036Mid24/10/2020
Delhi63967.181291411Early15/08/2020
Uttarakhand63025.36637612Mid30/09/2020
Assam61944.461930764Late21/08/2020
Gujarat60905.264356062Late29/09/2020
Jammu and Kashmir56880.44844641Early21/08/2020
Tamil Nadu49115.474062943Mid21/08/2020
Andhra Pradesh47631.542534304Mid10/08/2020
Sikkim47379.7831193Late10/08/2020
Manipur43096.80117299Late18/08/2020
Telangana38778.851364782Mid31/08/2020
Odisha35222.101670910Mid29/08/2020
Karnataka32847.102314485Late21/08/2020
Nagaland26593.9352672Late19/08/2020
Rajasthan25877.482058210Early21/08/2020
Mizoram23765.9625929Late15/08/2020
Himachal Pradesh23106.63177070Mid15/08/2020
Chhattisgarh18327.93468099Late21/08/2020
West Bengal14834.901524162Late22/08/2020
Chandigarh14297.9522092Mid18/08/2020
Meghalaya13740.1840726Late21/08/2020
Uttar Pradesh13537.133209587Mid10/08/2020
Bihar10043.201272980Late12/08/2020

Table: State-wise Testing Details

Scroll table right ⇒

*Tests per million

There can be more focus on infrastructure in small states (and UTs), that is why they are on top. However, some of these small states are at the bottom because they don’t have a testing lab. These states need to rely on neighbouring states for testing. Among large states, the ones which have good health systems like Tamil Nadu are front-runners. Andhra Pradesh is exceptionally good because the state government nationalised all hospitals (to take control of the private ones).

Asymptomatic Patients:

Asymptomatic patients are patients who have the virus but don’t show any symptoms. Being asymptomatic is good for the patient. But these patients can still infect others. So if they are not tested, no-one will figure out how the virus spread. A very large percentage (probably over 95%) of the COVID-19 patients are asymptomatic. This figure is important for the same reason as the death-rate: to know whether they are testing enough people, or they are mainly testing serious patients. That can be seen way more accurately using this data, but unfortunately this data is not easily available.

Available data on asymptomatic patients
State Percentage* Date Source
Tamil Nadu 80 09/05/2020 Asianage
Maharashtra 80 26/04/2020 NDTV
Karnataka 76+ 08/05/2020 The Hindu

*Asymptomatic cases per 100 positive cases.

Want to be informed when this author publishes the next article?

Save, embed, share, report
0comments

Commented 19 Jun, 2020

Nice work Varun. What you say about Koyambedu is true. Had the govt not been testing aggressively, no way this would have been detected.
You may want to look at indscicov.in for models and other analysis.
KV

Commented 19 Jun, 2020

Great Analysis

Explore more channels?Show all

Political analysis
Coronavirus Disease 2019 (COVID-19)

More from this channel

Select between trending, latest and important content.