Study of the correlation between cases of coronavirus and the presence of 5G networks.

Introduction
The COVID-19 pandemic and its effects in early 2020 have surprised scientists and
politicians. If any study aimed at understanding the phenomenon and which consequently
may help to clarify the causes of the pandemic is carried out, it should be promoted and/or
taken into consideration. The correlation between cases of coronavirus and the presence of
5G networks has been addressed in alternative media and social networks. It is noteworthy
that, at least in Spain, the media have not covered the scientific studies on the subject of 5G,
nor asked the government any questions about this in the daily press conferences that it
conducts to report on the state of the situation. The team of scientists advising the Spanish
government has also failed to raise this issue.
It is common sense that the ability to demonstrate this correlation would be very important
data to contribute to the understanding of, and the solution to, the problem.
Objective
To assess whether a correlation exists between cases of coronavirus and the presence of
5G networks. Without entering for the moment into subsequent cause-effect approaches in
the case of positive results. Given that there is a sufficiently large statistical sample, it is
possible for the results obtained to have a high level of reliability.
Material and methods
The study has benefited from the official statistical material published daily, which is a basic
and valuable tool. It should be noted that in these publications, the methodology used for
counting cases of coronavirus infections does not generally provide real data. In Spain and
many other countries, it has not been calculated as there are not enough tests for such
analyses. However, this does not alter the results of this study since it is based on the
comparative rather than the absolute method of infection. Therefore, in order to avoid
statistical error, we will compare the density value of confirmed cases of coronavirus
(expressed in number of cases per 1000 inhabitants) instead of absolute values. Since the
criterion for counting used by the health authorities within the same state or city is the same,
the comparison of published values for different cities or regions will be equally reliable for
statistics. Comparisons between different countries of confirmed cases, excluding
asymptomatic cases, will be equally reliable. The possible exception of some non-

1
Bartomeu Payeras i Cifre is a biologist specialising in microbiology working at the University of
Barcelona who has published several research papers. He worked on and researched smallpox
bacteria and viruses at the Hubber pharmaceutical laboratories in Barcelona. He created and worked
in the Department of Marine Microbiology at the Oceanographic Laboratory of Palma de Mallorca.
Clinical analysis at Centre d'Analisis Clinicos in Palma. Genetic engineering: episodic exchange
between Paracolobacter and Citrobacter C-3 with bacteriophage. Biogram, method for assessing
vitamin B12 activity. Study of marine bacterial contamination in the Port of Maon. Professor of
Mathematics, Physics and Chemistry and Biology at IEM. Discoverer of the Dali code with which he
encrypted his gifts in his paintings.
Study of the correlation between cases of coronavirus and
the presence of 5G networks – Bartomeu Payeras I Cifre
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transparent country that could manipulate the publication of its data is beyond the control of
this study.
The method used was to compare the incidence (no. of cases per 1000 inhabitants) between
countries with and without 5G technology. Between regions of the same country with and
without 5G technology. Between cities of the same state with and without 5G technology.
Between different neighbourhoods of the same city with the 5G network map of that city.
Comparing states with common borders with and without 5G technology. Comparing the
case of one state within another, as is the case of San Marino.

• The data for each chart were taken on the same day.
  Graphic results and data published below:

1. Chart of the 9 countries with the most infections worldwide.
2. Chart and rates of infection of the 5 countries with the highest incidence in Europe.
3. Chart and rates of infection of 4 nearby countries at the same latitude: Portugal,
   Spain, Italy, Greece.
4. San Marino: comparison of rates of infection with Italy and Croatia.
5. Italy: Incidence chart and 5G network.
6. Spain: 5G coverage chart and rates of infection.
7. Barcelona: Charts with 5G coverage and rates of infection.
8. Madrid: 5G coverage charts and rates of infection.
9. New York: coronavirus incidence chart and 5G network.
10. “Border effect” between Mexico and the USA.
11. Canada, USA and Mexico: chart of 5G networks and rates of infection.
12. Africa: 5G network chart.
13. Persian Gulf: 5G network and US military bases.
14. Chart and rates of infection of China and neighbouring countries.
15. CHART OF THE 9 COUNTRIES WITH THE
    MOST INFECTIONS WORLDWIDE

Study of the correlation between cases of coronavirus and
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2. CHART AND RATES OF INFECTION OF THE 5 COUNTRIES WITH
   THE HIGHEST INCIDENCE IN EUROPE
3. CHART AND RATES OF INFECTION OF 4 NEARBY COUNTRIES
   AT THE SAME LATITUDE: PORTUGAL, SPAIN, ITALY, GREECE
   Comparison of no. of infections per 1000 inhabitants in 4 countries
   near the same latitude and using 5G networks
   5G NETWORK:
   The average for Spain and Italy is 2.4.
   The average for Portugal and Greece is 1.09.
   Conclusion: the two countries with 5G have 220% more infections.
   Note: data for 4 April 2020

Study of the correlation between cases of coronavirus and
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4. SAN MARINO: COMPARISON OF RATES OF INFECTION
   WITH ITALY AND CROATIA
   No. of cases per 1000 inhabitants (Daily data El Pais 13.4.20)
   ITALY SAN MARINO CROATIA
   2.59 10.56 0.39
   Result: San Marino – the first European state with 5G technology –
   is the state with the highest no. of cases per 1000 inhabitants.
   4.07 times more than Italy and 27 times more than Croatia, which does not
   have 5G.
   Study of the correlation between cases of coronavirus and
   the presence of 5G networks – Bartomeu Payeras I Cifre
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
“Why San Marino? Because
the self-contained nature of the
state, and its relatively few
restrictions on the use of radio
frequency makes it the ideal
place to test the latest
development in telecoms
connectivity.
“Telecom Italia intends to
double the number of its
mobile sites within the country
and will additionally install a
network of small cells in
downtown San Marino.”
https://www.fircroft.com/blogs/s
an-marino-set-to-become-thefirst-5g-country-72001910124
“Considering very small
countries included the
worst outbreak in the
world is currently
recorded in San Marino
with 101 cases in a
country of 33,400.”
https://www.eturbonews.com/567130/mos
t-infected-coronavirus-countries-sanmarino-italy-norway-s-korea-switzerlandiran/
Study of the correlation between cases of coronavirus and
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5. ITALY: INCIDENCE CHART AND 5G NETWORK
   For a reliable study, the figures for infections per 1000 inhabitants
   for Turin, Milan, Bologna, Rome, and Naples should be compared
   with those for other cities without 5G
   (Vodafone data only)
   Study of the correlation between cases of coronavirus and
   the presence of 5G networks – Bartomeu Payeras I Cifre
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6. SPAIN: 5G COVERAGE CHART AND RATES OF INFECTION
   Data for cities with 5G should be related to the number of infections in those cities. Since
   data by city are not available, the comparison has been made with data for autonomous
   regions. This causes the data of the capitals to be diluted with those of their region.
   This is why the comparison in autonomous regions with one or two provinces is more
   significant: Extremadura, Murcia, Madrid, Navarra, Rioja, Balearic Islands, Asturias or the
   Canary Islands. Also in Euskadi since the three capital cities have 5G.
   TOWNS WITH 5G CORONAVIRUS INFECTIONS (for autonomous region)
   Infections per 1000 inhabitants Spain: 2.4
   Madrid: 5.4 Catalonia 3.2 Navarra 4.5 Logroño: 6.62 Aragon: 2.3 Euskadi: 3.7
   Extremadura: 1.7 Balearic Islands: 1.02 Murcia: 0.8 Ceuta: 0.8 Canaries: 0.7
7. BARCELONA: CHARTS WITH 5G COVERAGE
   AND RATES OF INFECTION
   Correlation of no. of infections per 1000 inhabitants with 5G
   5G coverage (green)
   (red dots refs. for curve tracing)
   Cases of coronavirus – no. of
   infections per 1000 inhabitants
   (Data 10 April 2020)
   Study of the correlation between cases of coronavirus and
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8. BARCELONA: CHARTS WITH 5G COVERAGE
   AND RATES OF INFECTION (cont.) Sectoral maps – cases per Coverage maps
   100,000 inhabitants
   Note: the 4G coverage is general and
   therefore does not serve in this case
   to compare areas of incidence of
   coronavirus. However, the map of 5G
   is the one that best matches map A.
   This demonstrates that the 5G factor
   is decisive.
   Data for 21 April 2020.
   Conselleria Salut. Generalitat Cat.
   Study of the correlation between cases of coronavirus and
   the presence of 5G networks – Bartomeu Payeras I Cifre
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9. MADRID: 5G COVERAGE CHARTS AND RATES OF INFECTION
   Incidence of coronavirus
   MADRID CAPITAL

Study of the correlation between cases of coronavirus and
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9. NEW YORK: CORONAVIRUS INCIDENCE CHART
   AND 5G NETWORK
   COVID 19 – 5G correlation
   No. of cases per 1000 inhabitants
10. “BORDER EFFECT” BETWEEN MEXICO AND THE USA
    Data for 3 April 2020 – infections per 1000 inhabitants
    California Arizona New Mexico Texas Mexico USA
    0.28 0.31 0.20 0.18 0,012 0.814
    The average for the 4 US states is 0.242, which is over 2,000% more than
    Mexico.
    The average for the US is 0.814 or 7.000% more than Mexico.

Study of the correlation between cases of coronavirus and
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11. CANADA, USA AND MEXICO: CHART OF 5G NETWORKS
    AND RATES OF INFECTION
    0.68 1.70 0.04
    No. of cases per 1,000 inhabitants 13 April 2020
12. AFRICA: 5G NETWORK CHART
    The African country with the most cases of coronavirus is South Africa, the
    only African country that has 5G.
    Study of the correlation between cases of coronavirus and
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13. PERSIAN GULF: 5G NETWORK AND US MILITARY BASES
    US MILITARY BASES IN THE MIDDLE EAST
    Study of the correlation between cases of coronavirus and
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14. CHINA AND NEIGHBOURING COUNTRIES:
    CHART AND RATES OF INFECTION
    No. of cases per 1000 inhabitants, 13 April 2020.
    The countries neighbouring China have approximately 10 times fewer cases
    per 1000 inhabitants.
    Results and discussion
    To know whether or not the result obtained is that of a random phenomenon, a statistical
    analysis of the results of an experiment must be carried to calculate the probability of the
    event occurring. The probability calculation is obtained by dividing the number of favourable
    cases by the number of possible cases. If the result shows that it is not a random
    phenomenon, it shows sufficient causal reason to analyse the causes.
    To eliminate any upward errors we will always opt for the most conservative numerical
    option.
    Let us therefore calculate the probability of three of the examples analysed above.
    (a) Probability that the 9 most contagious countries on the planet are countries with 5G
    networks.
    There are 194 countries on the planet. As of 6 March 2020, according to GSMA,
    there are 24 countries with 5G technology.
    Pr = 24/194 x 23/193 x 22/192 (nine times in total) =
    Study of the correlation between cases of coronavirus and
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    = 0.1237 x 0.1191 x 0.1145 x 0.1099 x 0.1052 x 0.1005 x 0.0957 x 0.0909 x 0.0860 =
    = 1.47 x 10 (high -9 ).
    The probability is 1 in 680,000,000.
    If we include Japan, which also has 5G and rates of infection similar to those of South
    Korea …
    the probability is 1 in 8,500,000,000.
    (b) Probability that the 5 most contagious countries in Europe have 5G networks.
    There are 49 countries in Europe, among which it is currently difficult to know if they
    currently deploy 5G, as there are 5 that have declared a moratorium, and many
    others do not have operational networks although companies publish as if they were
    already operational when they have signed agreements. We will calculate it
    downwards, as a conservative option, we will assume that about 15 countries have
    operational 5G systems.
    Pr = 15/49 x 14/48 x 13/47 x 12/46 x 11/45 = 0.00157.
    The probability is 1 in 637.
    (c) The case of San Marino is highly significant. It is located within the Italian territory,
    with a similar culture, economy, and social level, but presents much higher rates of
    infection. The only difference is the time of exposure of its citizens to 5G radiation,
    because it was the first state in the world to implement such technology on 4
    September 2018, while in Italy it was 5 June 2019. This opens the door to debate
    about the likely influence of 5G on the increase in the rates of infection.
    Pr = 1/194 x 1/194.
    The probability is 1 in 37,636.
    These figures are eloquent enough to make calculating the other cases unnecessary.
    The results for the city of Barcelona (pp. 7-8) indicate that sociological factors do not have a
    significant influence on the rates of infection, but if we see a clear relationship with the 5G
    coverage map, which added to the 4G coverage, gives us a correlation between mobile
    coverage and the proportion of cases of coronavirus. If more data were available, this study
    should be extended to other cities.
    Findings
15. The results obtained demonstrate a clear and close relationship between the rate of
    coronavirus infections and 5G antenna location.
16. This study does not analyse the beneficial or harmful effects on humans of 5G
    electromagnetic radiation. However, it does indicate a possible cause-effect in the current
    pandemic.
17. A “border effect” is significant, original and unique to this pandemic: it presents
    marked differences between contiguous states with and without 5G installation. it is
    particularly significant that the countries bordering China have very low rates of infection.
    One may also compare between Mexico and the USA or between Portugal and Spain, etc.
18. The case of San Marino is particularly significant. It was the first state in the world to
    install 5G and therefore, the state whose citizens have been exposed to 5G radiation the
    longest, and suspiciously, the first state in the world with infections. The probability of this
    happening is 1 in 37,636.
    Study of the correlation between cases of coronavirus and
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19. In the cities studied, Madrid, Barcelona and New York, this correlation is also
    observed. In the study of the city of Barcelona (pp. 7-8), it can be seen that the socioeconomic factor plays a significant role.2
20. It is very significant that on the African continent, with scarce health resources but
    without 5G, the rate of infection is very low, except for some antennas in South Africa, which
    also presents the highest rates of infection in Africa.
21. The rates of infection are diluted. The rates of some regions are influenced by cities
    with 5G, but the rates of infection of these cities are diluted in those of the region to which
    they belong. So it is more significant, as is the case of Spain, to compare uniprovincial
    autonomous regions, than among those that are formed by 3 or more of the old provinces.
    Thus we see that some regions with 5G such as Rioja, Madrid and Navarra, have rates
    between 4 and 8 times higher than others without 5G. The same is true in other cities around
    the world where the 5G network does not cover the entire territory of the state or region.
22. These data and results have the value of being taken “in vivo”, not based on
    prospective or laboratory studies. Never before have we had so much epidemiological
    information about a disease in humans to be able to produce scientific studies. A means of
    answering the question of cause and effect would be to disconnect the 5G networks, at least
    as a preventive measure, and see the results of the evolution of cases of coronavirus. So
    would studying the rate of infection in a state that declared a 5G moratorium after the
    pandemic started and studying if the statistics change. Given the evidence presented here,
    the data and conclusions of this study urgently need to be given due consideration. Given the
    current gravity of the pandemic, the media and political and health authorities have a
    responsibility to take urgent action. A failure to act in the face of the findings of this study
    could be considered negligent at the very least and very possibly criminal.
    Bartomeu Payeras i Cifre, 14 April 2020