Why do Eastern and North-eastern India still have lower COVID-19 Cases?

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I have been doing Data Analytics Studies on the Coronavirus Pandemic for 42 days. This post is about the “Infection Rate” of the 37 states and Union Territories (UTs) in India. Infection Rate is the number of people with COVID-19 per million residents of that country or state or UT.

Overall, India has an Infection Rate of 20 cases per million residents (compared to 13 on April 20).

In the Map, with figures in brackets indicating the Infection Rate on April 20, the dark red and red-coloured states/UTs have a higher Infection Rate than the national average.

Amongst the dark red states/UTs, Delhi has the highest Infection Rate with 143.1 cases per million (109.2), followed by Andaman & Nicobar Islands (A&NI) at 78.6 (35.7), Ladakh at 63.7 (57.3), Maharashtra at 63.1 (34.8), Gujarat at 48.1 (27.3), and Jammu & Kashmir (J&K) at 39.3 (26.6).

In the red category, Rajasthan has an Infection Rate of 27.5 cases per million (19.1), followed by Chandigarh at 26.6 (23.1), Telangana at 25.7 (22.3), Madhya Pradesh (MP) at 25.1 (16.9), Tamil Nadu (TN) at 24.7 (19.3), and Andhra Pradesh (AP) at 20.7 (12.2).

The orange, yellow, yellowish-green, light green, dark green, and gray colours represent states/UTs with a lower Infection Rate than the national average, with orange having the highest intensity, followed by yellow, yellowish-green, light green and dark green. The gray colour has been used for those states/UTs which have zero cases.

In the orange category, Kerala has an Infection Rate of 13.3 cases per million (11.4), followed by Punjab at 10.6 (8.2), and Haryana at 10.5 (9.1).

The yellow states are led by Uttar Pradesh (UP) at 7.8 cases per million (4.8), followed by Karnataka at 7.6 (5.9), and West Bengal (WB) with 6.3 (3.5).

The yellowish-green states are Puducherry at 5.8 (5.1), Himachal Pradesh (HP) at 5.5 (5.3), Goa at 4.5 (4.5), Uttarakhand (UK) at 4.5 (4), and Meghalaya at 3.7 (3.4).

The light green states are Bihar at 2.3 (0.8), Odisha at 2.3 (1.5), Jharkhand at 1.8 (1.1), Chhatisgarh at 1.3 (1.3), and Assam at 1.04 (1.0).

The dark green states are Mizoram at 0.83 (0.83), Manipur with 0.66 (0.66), Arunachal Pradesh at 0.65 (0.65), and Tripura at 0.49 (0.49).

In gray colour, Nagaland, Sikkim, Dadar & Nagar Haveli, Daman & Diu, and Lakshadweep have not reported any cases of Coronavirus. This is surprising in case of Nagaland as its population is higher than Ladakh, A&NI, Chandigarh, Puducherry, Goa, Mizoram, and Arunachal. Even Sikkim is a surprise case, as its population is higher than Ladakh and A&NI.

The average Infection Rate has grown 54% in India in the past 6 days (since April 20). Eight states/UTs have reported higher growth than the national average. The highest growth has been reported by Bihar (185%), followed by A&NI (120%), Maharashtra (82%), West Bengal (80%), Gujarat (76%), AP (70%), Jharkhand and UP (63% each).

Let us compare the 6 Indian states/UTs with the highest Infection Rates with the Infection Rate in countries with a similar population size. Delhi’s Infection Rate of 143.1 is similar to Kazakhstan’s 147, A&NI’s rate of 78.6 is much lower than Brunei’s 321.7, Ladakh’s rate of 63.7 is a tiny fraction of Iceland’s 5,322, Maharashtra’s Infection Rate of 63.1 is is lower than Japan’s 104, Gujarat’s rate of 48.1 is a tiny fraction of France’s 2,485, and J&K’s rate of 39.3 is half of Guinea’s 80.2.

So, the key question is whether people living in the Eastern and North-eastern parts of India are more immune against the pandemic, or are they messing up their testing and reporting? I would believe the latter to be true.

There is another question that comes to my mind – apart from Gujarat, Chandigarh,  MP, and Haryana, are the BJP or NDA-ruled states underreporting data, as they are accusing Mamata Banerjee of doing? I sincerely urge Prime Minister Narendra Modi to look into why UP, Karnataka, HP, Goa, UK, Meghalaya, Bihar, Assam, Manipur, Arunachal, and Tripura have such low numbers; and why Nagaland has zero cases!!! Similarly, Sonia Gandhi and Rahul Gandhi must answer why the cases in Chhattisgarh, Jharkhand and Puducherry are so low, especially how does Puducherry have an Infection Rate of only 5.8 when it is surrounded on three sides by Tamil Nadu which has a rate of 24.6.

Today’s Daily Update on Daily & Weekly Growth in Global Cases

India 16th Nation with 25,000+ Cases, 19th with 750+ Deaths

India’s Infection Rate is Low because Testing is Still Very Low

Kabhi Alvida Na Kehna

Bye Bye Miss Corona, Bye?

To Mask or Not To Mask?

Mortality Rates in 28 Countries

Recoveries Vs. Deaths in Top 20 Countries

New York Crosses Quarter Million Cases

Which Countries have the Highest Growth in Deaths?

LATEST UPDATES (at 2:30 pm UTC):

  • The world has crossed 2.944 million cases
  • The global death toll is over 203,900
  • India has reached 27,460 cases and 874 deaths as per covid19india.org In terms of rank in no. of cases out of all countries (not just the 27 in this Study), India is at No.16 (up from No.22 on April 14).
  • Maharashtra, with 8,068 cases, would rank No.39 in the world if it were a country
  • Russia became the 10th country to cross 80,000 cases
  • 6 countries have crossed 125,000 cases (up from 1 on April 3)
  • 10 countries have crossed 75,000 cases (up from 4 on April 3)
  • 17 countries have crossed 25,000 cases (up from 11 on April 3)
  • 24 countries have crossed 15,000 cases (up from 16 on April 16)
  • 35 countries have crossed 10,000 cases (up from 23 on April 16)
  • 40 countries have crossed 7,500 cases (up from 26 on April 16)
  • 48 countries have crossed 5,000 cases (up from 20 on April 16)

  • UK became the 5th country to cross 20,000 deaths, Belgium the 6th to cross 7,000, and Brazil the 11th to cross 4,000
  • 5 countries have 20,000+ deaths (up from just 1 on April 3)
  • 8 countries have 5000+ deaths (up from 5 on April 3)
  • 12 countries have 2500+ deaths (up from 7 on April 3)
  • 17 countries have 1000+ deaths (up from 10 on April 3)
  • 27 countries have 500+ deaths (up from 16 on April 16)

NOTE: Map created with Mapchart.net

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