The result of our analyses of the 2021 pandemic toll suggest that pesticide residual, annual precipitation, forest coverage, economy development, pet life, etc. have different impacts on toll of each country.

1. Forest Environment Association Analysis for the
Pandemic Health with Rectified Linear Unit
Correlations
Speaker：Li Shen Wang
Authors: Hong Wei Shi, Institute for Industrial Technology Research, China
Li Shen Wang*, Suqian University, China
Jiamin Moran Huang, Nanjing Kangbo iHealth Academy, China
Jun Steed Huang, Information and Bio-chemistry Engineering, VisionX LLC, USA
January 8-12，2022
The 28th International Conference on
Computational & Experimental Engineering and
Sciences (ICCES2022) will be held online in Dubai

2. 1 Introduction and Results
2
Method and Mathematical
Derivation
3 Discussion and Conclusion
CONTENTS
Kiha.org.cn
Kiha.net.cn

3. CH
1
Introduction and
Results

4. Executive Summary
The covariance is a measure of the joint variability of two random variables forming a
Cartesian coordinates. Variance is a special case of covariance, when two variables are
the same. The root of variance is the standard deviation. The normalization of
covariance to standard deviation is called Pearson correlation coefficient. The
covariance for the region of first and third quadrant is called upper semi-covariance.
The covariance for the region of second and fourth quadrant is called down semi-
covariance. Here we present semi-covariance, an accurate ReLU (Rectified Linear Unit)
way of measuring the non-linear correlation between variables. Our framework is
applied to successfully analyze the association between alternative environment social
life factors and the pandemic toll recovery health. The result of our analyses of the
2021 pandemic toll suggest that pesticide residual, annual precipitation, forest
coverage, economy development, life style, etc. have different impacts on toll of each
country. The pesticide may kill immune system, pandemic life style is impacted. We
picked total 8 related factors from 22 countries in order to set up future model for
digital twins that predicting pandemic trend.

5. Nature occurred or Man made?
We help predict or confirm a pandemic toll’s outcome and
provide key insights into why people die for a certain
mutation and the demographic environment social
information associated with them.
Owing to the short window period and data confidentiality, most of
the previous researches focused on the randomly sampled
community, it is urgent to develop a systematic approach to
• 1) collect meaningful environmental demographic data for
analysis;
• 2) develop an analysis framework to extract insights from the
long term data;
• 3) establishing ongoing digital twins model to monitor and to
predict the future pandemic.

6. Year 1880, Karl Pearson's formula

7. 2003 Nobel Winner
https://www.visionx.org/

8. Contributions
In summary, we make the following contributions in this research.
• 1.We propose a newly derived notations that can be used to
analyze the non-linear pattern based on a semi-variance idea.
• 2.We identify, collect, and integrate data for the latest pandemic
pesticide association analysis, bearing in mind a digital twins
prediction framework is to be set up.
• 3.We provide a great resource for studying the precipitation map,
establish an analysis framework to understand the economic and
demographic factors (pesticide, pet, GDP, education, life, forest and
precipitation) that may affect the pandemic, and identify the
potential factors impacting the formation of the pandemic.

9. Table 1: What proportions to Pesticide?

10. Table 2: What reverses to Pesticide?

11. Table 3: What proportions to Precipitation?

12. Table 4: What reverses to Precipitation?

13. Table 5: Percentage ranking 1-4

14. Table 6: Percentage ranking 5-8

15. CH
2
Method and
Mathematical
Derivation

16. A Few Pioneers
Diana Bernadette Beresford-Kroeger (born July 25, 1944) is an Irish botanist, medical biochemist, born in Islington, England and
resides near Ottawa, Ontario, Canada. She completed a diploma in experimental surgery at the University of Ottawa’s department of
surgery, while engaged in cardiovascular research (1973). Beresford-Kroeger received a Ph.D. in Biology from Carleton University in
2019. She has served as a scientific advisor to a number of organizations, including the Irish Woodland League, Ecology Ottawa,
Hidden Harvest of Ottawa, Canadian Organic Growers, Archangel Ancient Tree Archive and the Acadian Forest Research Centre and
others. Completed in 2016, Diana Beresford-Kroeger is featured in Jeff McKay's theatrical documentary, 'Call of the Forest: The
Forgotten Wisdom of Trees', co-produced by Merit Motion Pictures, Edgeland Films, and Treespeak Films - http://calloftheforest.ca/
June Dalziel Almeida (5 October 1930 – 1 December 2007) was a Scottish virologist, a pioneer in virus imaging, identification, and
diagnosis. In 1964, she was recruited by St Thomas's Hospital Medical School in London. By 1967, she had earned her Doctor of
Science (Sc.D.) on the basis of her research and the resulting publications, while working in Canada, at Toronto's Ontario Cancer
Institute and then in London at St Thomas’s. She then continued her research at the Royal Postgraduate Medical School. Almeida
succeeded in identifying viruses that were previously unknown, including—in 1966—a group of viruses that was later named
Coronavirus due to their crown-like appearance

17. Problem to solve
For nonlinear relationship like below we don’t want to just take a zero away, we want
to see who made it zero? In what region the relationship is not zero!
How they cancelled each others? What’s different between each zero?

18. Mathematical Derivation
• The following simple derivation proves the ReLU relationship
between our upper covariance and Nobel Winner Prof. Harry
M Markowitz's down variance:

19. Mathematical ReLU Derivation Continue

20. From Pesticide to Graveyard!

21. Figure 3: SARS-CoV-2 Death

22. Figure 4: Too much water?

23. Figure 5: No water no tree …

24. CH
3
Discussion and
Conclusion

25. Conclusion
Here we present semi-covariance, an accurate way of
measuring the non-linear correlation between variables.
Our framework can successfully analyze the association
between alternative factors and the response. The result of
our analyses of the 2021 pandemic situation suggest that
pesticide, precipitation, GDP, longevity, pet, scientist, and
forest have substantial impacts each other in different
directions. While pesticide residual is proportional to
pandemic death and the rest environmental and social
economic factors are not independent either.

26. Discussion
Due to each continental or neighborhood countries have
similar environment or social data, we will not go through
every country on the planet. We pick most of G20 and the
country suffers more COVID-19 pandemic as the example
for analysis.
In this project, our goal is to investigate whether the semi-
covariance framework can accurately help us conduct
association analysis between the alternative factors and
the nonlinear factors related to pandemic, which is
essentially a nonlinear data mining problem.

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Data availability
GDP ranking 2020: http://statisticstimes.com/economy/projected-world-gdp-ranking.php
CDC deaths 2021: https://covid.cdc.gov/covid-data-tracker/#cases_casesper100klast7days
Life expectancy 2015: https://en.wikipedia.org/wiki/List_of_countries_by_life_expectancy
Forest coverage 2014: https://en.wikipedia.org/wiki/List_of_countries_by_forest_area_(percentage)
Average precipitation in depth (mm per year) 2014: https://www.indexmundi.com/facts/indicators/AG.LND.PRCP.MM/rankings
United Nations Food and Agriculture Organization Pesticides indicators 2018: http://www.fao.org/faostat/en/#data/EP/visualize
Pets ownership 2020: https://www.petsecure.com.au/pet-care/a-guide-to-worldwide-pet-ownership/

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Thank you for your time!
Acknowledgement: Research supported by the Jiangsu Computer
Society of China with Grant KJFWRMJK(2021) “Research and
implementation of intelligent IoT rehabilitation assistant platforms”.