1. Introduction

New technology is changing every step in the digital world with sensor cloud computing [11,12]. Coronavirus is an immense challenge worldwide, which is nothing but a digital killer. The study observed coronavirus is a part of 362 CASSID (Common Acute Sensor Sudden Infections and Disorders) produced with sensor technology by misusers since 2000 [1]. Expansion of cutting-edge technology is alarming due to lack of effective security. Although it is the most unrelenting scientific puzzle, which smears in the world’s history of thousands of years [1,2,3]. The discovery of coronavirus exposed the cause of the remaining cases of CASSID and made possible tests with new recovery systems that have saved millions of lives [1]. It has become the leading societal and scientific concern of bringing the world’s scientists together to find unique solutions. Coronavirus disease is the novel scientific puzzle in the modern world [13,14,15,16,17]. This novel virus infected several people at Wuhan, China on December 29, 2019 and then disseminated to the entire world [18]. The root sources of virus and disease were unknown to the virologists and other disease specialists [19,20]. Most people of the whole world are worried and scared because of unwanted conditions including living status, social, economic and other communications [21]. On the other hand, misapplication of advanced technology affects healthcare activities, which have triggered a collective capacity of scarcities and securities including multi-dimensions, tracking, detecting, simulation and catalog systems [22]. Again, scientists from different countries searching for the main sources of coronavirus are wrapping up a prolonged investigation like ‘Wuhan’s Lab’, ‘zoonotic’ or ‘human’, or technological phenomena…etc. [1,23,24,25,26]. The heartbreaking phenomena of continuing frustration are the foremost consequence of novel coronavirus disease [27].

The aim of the study is to find out the discovery of coronavirus disease with justifiable research evidence and inference to solve the core pandemic challenges in global public health security.

2. Discovery Coronavirus with Innovative Technology

Innovative technology explores new ideas in connection with impacts and future directions. The discovery novel disease makes a sense in great learning worldwide and extends its alternative in future. SARS, MERS, COVID-19 etc. are the pandemic diseases. The discovery of coronavirus disease is a novel research, which is the negative impact of innovative technology, as shown in Figure 1.

Figure 1. Functions of Innovative Technology

The research was tested in dogs and cats at fixed GPS locations including longitude, latitude and ellipsoid height at the IBEC Laboratory of UNIMAS, Malaysia. The experiment ISNAH included sensor technology, individual’s eyes, voicing, beside active hand phones and GPS devices. The research took recovery home isolation trails among 150 patients with COVID at personal area network control units (PANCU). All are recovered from this sensor disease. The main author named it ISNA in his PhD thesis in 2018 and after one year in 2019, WHO called it “coronavirus disease” [1]. The identified characteristics of ISNA are associated with symptoms of coronavirus disease. It is not only a public health concern but also affects communities with clouding systems. It has made a decisive contribution to the fight against CASSID in people worldwide. The researcher made a domineering discovery that led to identification of COVID through transnational research with critical steps forward, but some scientists in the world remained mysterious. The discovery revealed the cause of the remaining cases of CASSID and made possible tests with new recovery systems that have saved millions of lives. The process of discovery of coronavirus disease illustrated with different parameters shown in Figure 2. The tracking sensor device is a mixture of telematics built-in software with biosensor, gas sensor, chemical sensor, LASER, GPS, PNT, GNSS, GPRS, sensor camera and sensor recognizers etc.

Figure 2. Discovery Coronavirus disease through tracking with the Processed Wireless Sensor Technology

The discovery is a novel mystery with an image sensor due to active open eyes, voice and nearby on-cell phone. If the eyes are open at a fixed GPS location, the sensor particles connect with retinal receptors. Because, the active eyes offer one exemption to this sensor particle’s situation, with the cornea and lens affording a view of the retina that is only masked by limitations in the optics. Completely adjusting adaptive optics micro-stimulation with high-speed eye tracking, the retinal function can be discovered at the level of the individual cone photoreceptor in active eyes [29]. Existing advances in ocular imaging now make it possible to overcome these imperfections and image individual photoreceptors in the existing retina [30]. So, the discovery of coronavirus is a sudden sensor effect of adjusting receptors at GPS/GNSS location with light and dark environments. From the ISNAH experiment, cat and dog suffered individually with relevant symptoms of COVID-19 at fixed locations because of tracking with the processed wireless sensor signals. The study demonstrates different experiments towards individuals including cats, dogs and human beings.

3. Materials and Methods

3.1. Study Site

The research work was initiated at the laboratory of UNIMAS Malaysia from October 2014 to May 2018. The study follows materials and methods of the requirements related to discovery coronavirus from the published papers at international indexed journals:

(1) http://article.sapub.org/10.5923.j.bioinformatics.20211101.01.html,

(2) http://article.sapub.org/10.5923.j.fs.20211101.01.html,

(3) http://article.sapub.org/10.5923.j.ajbe.20201001.03.html.

3.2. Species Selection and Body Mass Index Category

The study selected the individuals (cat 7, dog 7 and human beings 150) according to Feline Body Mass Index (FBMI) and Body Mass Index (BMI) for ISNA and ISNAH Experiments respectively. The study followed the BMI categories [28], which listed below:

(i) Underweight = <18.5

(ii) Normal weight = 18.5–24.9

(iii) Excess weight = 25+ (overweight = 25–29.9 and obesity = 30 or greater)

The collected data from individuals calculated according to the formula at following URL:

https://www.nhlbi.nih.gov/health/educational/lose_wt/BMI/bmi-m.htm

3.3. Tracking Procedures

The tracking procedures include sensor particles and images disseminating at remote position in different stages with ISNAH experiment, particularly identification of fixed GPS locations including longitude, latitude and ellipsoid height, which as shown in Figure 3, 4, 5, 6, 7, 8 and 9. Individual affects in different symptoms of CASSID. The tracking procedures occurred with built-in sensor network software in different ways, such as:

a. Individuals at Ellipsoid Heights with eye-sight distances

b. Tracking Individuals at GPS longitudinal distance

c. Tracking Individuals wearing sunglasses at changeable GPS Location

d. Tracking Individuals at GPS latitudinal distance

e. Tracking Individual’s Running stage with GPS Motion Sensor

f. Tracking at a fixed organ with fixed GPS position

g. Tracking Individual’s Wearing Mask at Clouding System

Tracking systems observed in various stages at light and dark environment with fixed GPS positions. The individual affects in frequent yawning, sneezing, hiccup, runny nose, flatus, teeth grinding, severe respiratory syndrome etc. Sometimes individuals felt in anorexia or dysphagia.

3.3.1. Individuals at Ellipsoid Heights with eye-sight distances

Figure 3. Tracked Individuals at stair with Ellipsoid height

3.3.2. Tracking Individuals at GPS longitudinal distance

Figure 4. Tracked Individuals with open-eyes at longitudinal distances

3.3.3. Tracking Individuals Wearing Sunglasses at Changeable GPS Location

Figure 5. Tracked Individuals with wearing sunglasses at latitudinal distances

3.3.4. Tracking Individuals at GPS latitudinal Distance

Figure 6. Tracked Individuals with closed-eyes at latitudinal distances

3.3.5. Tracking Individual’s Running Stage with GPS Motion Sensor

Figure 7. Tracked Individuals with GPS Motion Sensor towards Running Individual

3.3.6. Tracking at Fixed Organ with Fixed GPS Position

Figure 8. Tracked at Individual’s Tracheas at fixed GPS locations

3.3.7. Tracking Individual’s Wearing Mask at Clouding System

Figure 9. Tracked Individuals with Wearing Masks at Clouding Systems

3.4. Measure Fixed GPS Positions

GPS implies Global Positioning System, which works at the positions of longitude, latitude / vertical and ellipsoid height, which as shown in Table 1. These positions are active in tracking time from Telematics at light and dark environments according to status on BMI categories, such as: underweight, normal weight, overweight and obesity.

Table 1. Measurement of Individual’s Fixed GPS Positions

Individual’s Fixed GPS positions identified with Telematics due to active open eyes, voicing, adjacent sensor devices and active mobile / wireless networks. The tracking distances were 5-meter, 10-meter, 20-meter and 50-meter with longitudinal, latitudinal and ellipsoid height levels.

3.5. Recovery Method

Coronavirus disease is a pandemic disease. The recovery method of COVID-19 applied among 150 patients with positive at-home isolations with the recovery components in Figure 10 within the period of July 1, 2020 to September 30, 2020. The main components are individual isolation, wireless sensor network isolation, light environment, positive psychology, tightly closed eyes, anti-radiation sunglasses, sensed related nutrition, black uniform and quick changing GPS positions.

Figure 10. Recovery Method from Pandemic Coronavirus Disease [3]

3.6. Data Compilation and Analysis

All general information regarding the patient’s history, diagnosis, case management, cognitive assessment, mental assessment and relevant status with affected conditions were checked for accuracy from the different sources and sources of information were also verified. The compiled and processed data were involved in the preparation of the data master sheet and assimilated into suitable systems used in the results and other segments consecutively.

All collected data compiled for analysis and interpretation using update software like MS Excel 2019, SPSS version 27 and R version 3.6.

4. Findings and Discussion

4.1. Disease Symptoms Identification

From the study of ISNAH Effect, the individuals suffered from various symptoms within fixed GPS positions in light and dark environments due to tracking with the processed wireless sensor networks.

The observed symptoms are:

(i) Frequent sneezing and sometimes excessive

(ii) Frequent Yawning

(iii) Frequent hiccup

(iv) Runny nose

(v) Teeth grinding

(vi) Hypnosis

(vii) Frequent flatus.

(viii) Severe Acute Respiratory Syndrome

These symptoms compared with the symptoms of coronavirus disease, which illustrated in Figure 11, Figure 12, Figure 13 and Figure 14. These symptoms occurred in individuals due to tracking with the processed wireless sensor networks, active open eyes, voicing and fixed GPS locations towards the individual's organ. This type of sensor is more reactive in living cells of excess weight individuals in dark conditions than that of light environments.

Figure 11. Sensor Sneezing in Cat-Dog-Human beings due to tracking with the processed wireless sensor networks

Figure 12. Sensor Yawning in Cat-Dog-Human beings due to tracking with the processed wireless sensor networks

Figure 13. Sensor Hiccups in Cat-Dog-Human beings due to tracking with the processed wireless sensor networks

Figure 14. Wearing Masks in Cat-Dog-Human beings due to tracking with the processed wireless sensor networks

4.2. Distributed Symptoms

The identified symptoms are distributed towards individuals of cat and dog according to Feline Body Mass Index (FBMI) due to tracking with the processed wireless sensor networks at fixed GPS locations. From the study in tracking individuals, the distributed symptoms showed in Table 2.

Table 2. Distributed symptoms and effects in sensor tracking towards FBMI individuals

On the other hand, these symptoms also showed in the 150 patients with COVID-19. They were underweight, normal weight and excess weight (overweight and obesity) according to BMI categories, which as shown in Figure 15.

Figure 15. Identified Symptoms from Sensor Tracking

4.3. Tracheal Deviation with Sensor Networks

During the time of an individual's sneezing, yawning or hiccup, the In-body GPS sensor devices detect one’s tracheal position. These sensor devices track the trachea with a mixture of wireless sensors. Due to processed wireless sensor particles, the identified organ digitized poisoning at specific GPS location. At fixed GPS positions, the selected Individual’s trachea collapsed with the processed wireless sensor technology along with BMI categories including underweight, normal weight and excess weight. The excess weight individual’s trachea collapsed in less time than that of other BMI categories. Normal trachea affected by the processed wireless sensor networks due to the range of passive radio frequencies. Then these effects continued with clouding tracking systems with high ranges of radio frequencies. When the trachea collapsed severely shrinkage and blocked electron transmission due to the higher electromagnetic magnetic waves, which reached in grade IV. At this moment, individuals suffered from severe acute respiratory syndrome (SARS). This SARS is indicated as Coronavirus Disease or COVID-19. The experiment continued at different stages in normal trachea with ISNAH Effects, which as shown in Figure 16. The ISNAH Effect relates to Sensor Disease Tracking Systems.

Tracheal deviation steps with the tracking of the processed wireless sensor networks (built-in software):

(i) Firstly, scan individual at fixed GPS location due to active open eyes + active mobile phone

(ii) Produce Individual’s Yawning / Sneezing /Hiccup /Hypnosis / Flatus at fixed location.

(iii) Select Individual’s trachea at fixed GPS location with In-body wireless sensor networks.

(iv) Track in trachea at fixed GPS location + Active open eyes.

(v) Recognize tracking point at selected trachea.

(vi) Track again the fixed point of trachea with sensor electromagnetic force.

(vii) Track shrinkage in the tracheal cartilage at fixed GPS location.

(viii) Track moderate with tracheal collapse

(ix) Track in severe tracheal collapse

(x) Block electron transmission due to severe collapse

(xi) Tracheal deviation

Figure 16. Tracheal Collapsed with the Processed Wireless Sensor Technology

4.4. Sensor Disease Tracking System

The sensor disease tracking systems (SDTS) include different stages in presence of following parameters, such as:

(i) individual,

(ii) individual’s visible active open eyes,

(iii) voicing or storming

(iv) beside cell phone or sensor device,

(v) fixed GPS location or GNSS (Global Navigation Satellite System) distance

(vi) Node sensor

(vii) Distributed sensor

The SDTS is illustrated in individual or group of individuals at light and dark conditions, which as shown in Figure 17. Node sensors applied for an individual's sickness or death. But a distributed sensor applied for a group of individuals at a time in a fixed GPS location and GNSS distance. In-body GPS sensors affected an individual's sickness or death due to active open eyes, voicing and storming at fixed locations. But GPS and GNSS wireless sensors affect individuals due to eye-receptor, beside active cell phone, sensor devices, active Television, connected Wi-Fi, active Laptop, CCTV, Closed Circuit Spectacles, Cell/ Phone Towers and clouding networks, and other communication devices.

Figure 17. Discovery systems of Coronavirus disease

4.5. ISNAH Effect with Clouding Systems

Wireless Sensor technology is active with clouding systems at local, national, regional and global level. According to BMI categories, underweight, normal weight and excess weight individuals affected in sickness with sensor clouding systems. Normal weight individuals are affected in sneezing at Dhaka, Bangladesh due to track/misuse of processed wireless sensors. Then he/she went to Singapore. Due to monitoring from his/her active open eyes or beside a cell phone, cyber hackers detect him/her in Singapore with sensor clouding network systems. The same occurrence happens individual’s staying in London or New York, which as shown in Figure 18.

Figure 18. Tracking with Clouding Systems

With the help of remote sensor technology, the study finds the tracking at the GPS distance towards the individual’s organ of trachea, lungs and heart through the light of human eyes, thus stopping the flow of water, air and blood. Then the sensed individual suddenly fell ill. Being at a certain distance, the individuals are affected severely, then he/she dies in a dark environment within 5-12 minutes and in a light environment, it takes 15-25 minutes. Single individuals or objects and Multiple people or objects can be killed or damaged simultaneously through node sensors and distributed sensors according to the GPS sensor range of remote sensing distances. The processed wireless sensors affect underweight (thin), normal weight, excess weight (overweight and obesity) individuals through tracking at fixed GPS locations, which as shown in Figure 19.

Figure 19. Sensor disease affected between dogs and cats at light and dark environment

4.6. Initial Stages of Discovery COVID-19

From the study, COVID is a one type of CASSID (Common Acute Sensor Sudden Infections and Disorders), which indicates the sensor diseases produced and spread through processed radio frequency of advances in sensor technology. When this processed radio frequency is tracked in GPS positions towards living cells, particularly human beings and animals’ bodies. The sensed living cells block electron movement and produce different types of disorders or diseases in the affected organ of the body. The CASSID implies a formula as,

(1)

Where,

E= Number of sensor disease effect at processed wireless network at different generations with disseminated response signals, here E= 1,2,3,4,5………………………. n.

And C= the producing sensor diseases including CASSID.

We put these values of sensor networks generations at the Eqn. (i), and showed in Table 3.

Table 3. Number of CASSID in different generations

These CASSID included Coronavirus disease, Cardiac Arrest, Acute Respiratory Distress Syndrome (ARDS), Chronic Kidney Disease (CKD) and Numbness etc., which as illustrated in Figure 20.

Figure 20. ISNAH Effect / Coronavirus disease occurred at fixed GPS location

4.7. How to Spread Coronavirus with Sensor Technology

Cyber hackers scan the individual’s location due to visible active eyes or voicing or individual’s storming in a fixed GPS position alongside hand phones and nearby sensor devices. Then they track the selected organ of the individual with a sensor camera and active retina. They block electron transmission in tracked organs due to processed wireless sensor networks at fixed GPS location, which as shown in Figure 21. The sensed individual feels uneasy with pandemic disease symptoms at the individual's 15 fixed GPS locations. These fixed locations include as (i) Office room, (ii) Dining room, (iii) Bed room, (iv) Wash room, (v) Meeting room, (vi) Conference room, (vi) Media room, (vii) Communication room, (viii) Computer and Network Server room, (ix) Mobile, Telephone and fax room, (x) TV and Theatre room, (xi) Kitchen room, (xii) Dressing room, (xiii) Healthcare room, (xiv) Operation room, and (xv) Other static GPS location.

Figure 21. Spreading Coronavirus through Sensor Technology towards Individuals

Individuals stayed on different floors in the residence flat. Due to active open eyes or nearby hand phones, his/her GPS location is identified at the fixed floor. Cyber hackers select this individual with telematics or sensor devices and they scan him/her with a sensor node and MRI for digital poisoning at selected organs. Cyber hackers track individuals with wireless sensor networks at landscape, skyscape and seascape due to presence of active open eyes, individual’s voice, nearby GPS device or self- cell phone. The tracking continues at stoppage or speedy stages on required diverse sensors. The headquarter of cyber hackers’ controls individuals with all types of digital signalling in connections of wireless URL, GNSS and GPS sensors. Individual cyber hackers use this sensor secretly with hidden IP addresses, IMEI, MAC and VIN etc. Every operation is recognized for monitoring from headquarters in real-time software.

4.8. Case Study on the Recovery from COVID-19

The study is a case study among 150 COVID patients at four districts (Sylhet, Sunamganj, Moulvibazar and Habiganj) of Bangladesh from July 1, 2020 to September 30, 2020. Out of them, 73% were male and 27% female within age limits 20-80 years old, which as shown in Figure 22. These patients were COVID-19 positive with RT-PCR reports at different hospitals in Sylhet division. According to ISNAH guidelines, the 150 patients recovered from the coronavirus disease within the stipulated time. But excess weight patients took more recovery time than that of other BMI category patients. The researcher provided them health tips and intensive follow up according to his published book “Cyber Antichrists: Barrier to Sound Health” and coronavirus related his published papers. The researcher is not a Physician, but he has expertise in Sensor Environmental Health from his PhD research. He provided approximately 80% of Psycho-technological health awareness and the rest of 20% informal medicine among 150 patients. The study was at home isolation with isolated sensor networks changing GPS positions quickly, tightly closed eyes instant, wearing anti-radiation sunglasses immediately and clothe in black uniforms in a light environment at all times. All patients took sensed foods with some glasses of juice with a mixture of lemon, zinger, and a little hot water. Some patients have also suffered from other diseases, like acute respiratory distress syndrome, diabetes, heart attack, cancer, stroke, paralysis, back pain, numbness, chronic kidney disease (CKD) etc. They have also recovered from these diseases. The study is rare in the entire world and it is unique in global public health security.

Figure 22. Recovery from COVID-19 in different ages

4.9. Exposure on Sensor Networks

The study identified the impact of wireless sensor networks towards animals and human beings through the ISNAH experiment from PhD research work at UNIMAS, Malaysia. The researcher exposed the research findings to the public at different institutions through seminars, research talks, conferences and other sharing like publications, informal communications, daily news and social media. The most sharing was on Seminars 79% and lowest 2% on conference from 2018 to 2019, which as shown in Figure 23. During this exposure, some people described the research as crazy or a mental disorder. But when COVID-19 started at Wuhan, China in December 2019, some of them believed in his sharing.

Figure 23. Exposure Activities on the impact of sensor diseases towards animals and human beings

The researcher conducted the first seminar on the subject of ISNA research at the Sarawak Heart Foundation, Samarahan on July 26, 2018, where doctors, nurses and others were very pleased and thanked him all for presenting the results of the exceptional research. Then when he came back to Bangladesh in August 2018 and shared his research with his family, they did not accept him well, but they misunderstood him and kicked him out of his father-in-law's house in Sunamganj. Later, when he took refuge with a friend in Sylhet, Bangladesh, he was cheated in various ways due to discovering ISNAH. Thus, for a few months, he did not find anyone bosom in his world. He continued 265 exposures including seminars, conferences, academic talks and others sharing.

4.10. Mask, Social Distance, Lockdown, Isolation and Vaccine

From the study, coronavirus is a sensor technological effect. It is a non-communicable infection. There is no recovery relationship with mask, vaccine, social distancing, prayer distance and individual isolation. These parameters can never prevent coronavirus disease fully, which are infodemic tactics of cyber hackers towards mass phobia. Due to lockdown, individuals stay home for safety nets. But it is the wrong idea, because home is a one type of fixed GPS location. During the lockdown time, cyber hackers recognize an individual at a fixed location and they track him/her from adjacent places due to active open eyes, beside cell phone and self-voicing. Those who use the personal area network control unit, they are safe in lockdown. So, it requires wireless sensor network control units including anti-sensor body devices for all. Otherwise, the mask industry and vaccine company will be benefited as a millionaire, but as an individual as a sufferer in a pandemic situation. Vaccine is a treatment formality and used as eye-wash in recovery from pandemic disease. Vaccines are suitable for non-sensor diseases and biological characteristics. The COVID-19, MERS, SARS, Swine flu, Ebola, Nipa etc. are sensor diseases, which have the common acute sensor sudden infections and disorders (CASSID).

Man is the best creature of creation. This human being is the best of all in intellect, judgment, work and research. He has to struggle and survive in any problem or adverse situation, including disease and grief - this is normal. Man / woman is not a vector or host of COVID-19. If he/she carries germs, he/she will kill himself/herself at first, not to kill others. For this reason, cyber hackers send bouncing messages to policy-makers regarding the issue. But lacking their sensor technological knowledge, they follow automatically as per providing instructions. Actually, the message was from cyber hackers.

4.11. Sensor Security Networks Awareness

From the study, about 96% of respondents opined their opinion for secure sensor networks and 3% responded for restricted GPS locations but 1% respondents ‘No comment’, which as shown in Figure 24.

Figure 24. Opinions on Sensor Security Networks

4.12. Scientific Discovery

From the above study, the findings illustrated that every individual and object affect the processed wireless sensor network at fixed GPS positions. From the ISNAH study, the researchers concluded a formula, called ISNAH Effect, stated as:

“Due to the active sensor technology, every human, animal or object is affected by the processed radio frequencies of its movement through electromagnetic transmission within the boundary of the body in the GPS or GNSS Coordinates. This effect is proportional to its weight factors and disproportionate to its GPS positions and GNSS distances. As a result, the person, animal or object is damaged by the fluctuated waves and for recovery systems, the living object should change instantly from the existing location with tightly closed eyes”.

Therefore,

(2)

Where, IE= ISNAH Effect,

IW= Individual’s Weight

EC= Existing GPS /GNSS Coordinates, and

S = Constant value of the processed wireless sensor network

with individual’s active open eyes, voicing, storming, Wi-Fi and cell phone.

Overall, Coronavirus disease is a man-made of innovative wireless sensor programming effects, which creates sudden infections and disorders through GPS sensor tracking towards an individual’s active organ. These sudden infections and disorders convert into sensor disease through blocking electron transmission in living cells. This sensor effect converts into non-communicable and pandemic disease, particularly Coronavirus disease, SARS, MERS…. etc.

5. Discussion

The discovery of coronavirus was so difficult and complex due to insecure wireless sensor networks. Besides, the impact of the processed wireless sensor network was so severe that the researcher did not use a mobile phone from February 2017 to July 2018. At this time his relatives in Bangladesh thought that he had become fatal or was missing or had died of insanity while doing research. However, on May 21, 2018, his Ph.D. degree was confirmed. He believed that the PhD certificate would not only be in his pocket, but would also show the results to everyone in the world. He then shared the results of his research in many different places. Many said he was very good, while others called him a crazy goat. He did not listen to them, but proceeded according to his plan. His research continues on dogs and cats in the ISNA process, then exemplified on trees, water, ice, soil, brick walls, hill side, river bank and a few other objects. One is experimenting and weeping over the results - because, in his research, the impact of sensor technology on human-animal-plant and other objects through mobile phones is a very serious infection, as highlighted in his research. There are some options regarding the discovery coronavirus, as below:

5.1. Scientific Healthcare Knowledge

From the study, it is found that insecure wireless sensor technology is at risk in good health due to expansion of cutting-edge technology. Scientific healthcare knowledge is indispensable for treatment with the modern sensor technological arena but such knowledge is poorly identified while different clinical supports are still below par, which is alarming in global public health security.

5.2. Misusers of Global Pandemic Diseases

Global pandemic disease, particularly Coronavirus is the misuse of remote sensor distance programming for tracheal deviation. Misusers block electron transfer to the individual at specific GPS and GNSS positions. There are some misusers within and around different countries staying in adjacent or hidden places. They track to others either singly or group wise with node and distributed clouding wireless sensor networks. Their teams make clouding networks at national, regional and global diverse stakeholders including (i) Freshers group, (ii) Unemployment group, (iii) Students group, (iv) Doctors group, (v) Nurses group, (vi) Security Guard group, (vii) Lab Technicians group, (viii) Visitors group , (ix) Job seekers group, (x) Service holders group, (xi) Sensor Digital Killers group, (xii) Web Bloggers group, (xiii) Outsiders group, (xiv) Novice group, (xv) Neighbour group, (xvi) Car driver and user group, (xvii) Connective supporters, (xviii) Office assistants group, (xix) Nominated Environmentalists, (xx) Housekeepers group, (xxi) Fugitive individuals group, (xxii) Conspirators group, (xxiii) Sensor Syndicates group, (xxiv) Fake ethical leaders, (xxv) Rapid neighbours, (xxvi) Chain smokers group, (xxvii) Departmental colleagues, (xxviii) News Editors, (xxix) Sensor Cameramen, (xxx) SMART recognizers group, (xxxi) Sensor Photographers group, (xxxii) Change-making group, (xxxiii) Nearby Renters, (xxxiv) Digital Surveyors group, (xxxv) Reserve relatives, (xxxvi) Astute politicians, (xxxvii) Sudden Sensor Communicators, (xxxviii) Cyber Sensor Technologists, (xxxix) Distrusted Figured Persons, (xl) Bilingual Experts, and (xli) Embassy Office Assistants etc.

A group of cyber hackers involved in target-oriented individuals or objects with political agenda. This group has been active with illegal activities since January 2000 and continues till date with innovative sensor technology. From the study, it identified the four members lead the cyber hacker’s group, their pseudonymous names are (a) Tanggal Feroun Bari Hatem Ali, (b) Norsi Nomrud Jashim Uddin, (c) Chichang Karun Nizam Uddin, and (d) Mohakhali Candle Taj. Out of them, Candle Taj rents them residence for operational cyber hacking activities at national, regional and global levels. This hacker group signed with the chief political leader for the fulfilment of ancestral revenges. The cyber hackers won the signed party in general national elections but cyber hackers administered the political agenda according to signing terms and conditions. Then cyber hackers expand their illegal activities globally including sensor disease producing, hacking, poaching, kidnapping, trafficking, hijacking, unwanted climate changing, artificial earthquake, sensor Tsunami, technological landslide, sensor artificial raining, burning and digital killing etc. They are disseminating continuously various types of CASSID /sensor diseases, e.g. Nipa, Ebola, Swine flu, Cardiac Arrest, Sensor Diabetes, Multiple Myeloma, Dushini muscular dystrophy, Sensor Dengue, SARS, MERS, COVID-19 etc., which identified at ISNA experiment in PhD research from UNIMAS, Malaysia in the year of 2018.

5.3. COVID-19: A Global Alarming for the Generations

Coronavirus is nothing but a sensor digital assassin caused by the most recently discovered as COVID-19. Some scientists were unaware of the root causes of COVID due to misapplication of technology in presence of active open eyes, voice and GPS location [1,2,3]. The entire world today is worried due to the slow recovery system from coronavirus. Only vaccines cannot cure coronavirus fully due to active clouding systems. It is alarming for secure health along with the present and upcoming generations.

5.4. Global Sensor War Message

The study observed that every COVID is dangerous due to blocking of electron transmission including oxygen and other materials in GPS positions. COVID-19 is a message of third world war [1]. It has exaggerated the entire world, which escaped the horrors of World War I and II [10]. World War I ended with roughly 20 million deaths to compare with COVID-19 and sensor diabetes diseases [9].

5.5. Global Uniqueness Research

The scientist observed that optical sensors are integrated with a radio transmitter/transceiver in a GPS position [1,2,3]. The wireless processed sensor network is a unique research in relation with biology and sensor technology in advances. It advances in biosensor research to improve the capacity of healthy life but rare and limited awareness. It opens the research door with scientific access to multidiscipline.

5.6. Worldwide Research Potentiality

According to scientists, this virus tarnished global history due to lack of secure sensor technology with changing economic, technical, social and health impacts [1]. This learning has the potential to change the global direction for looking ahead. Large potential on RFID technology uses including learning, research, servicing and access benefit sharing to achieve specific goals related to national health policy in connection with Sustainable Development Goals 2030.

5.7. Global Geopolitics and Democracy

The researcher observed that the world is facing an unparalleled health crisis through misusing cyber hacker’s activity [1,5,6,7,8]. Due to the spreading coronavirus, the geopolitical tensions are escalating, which hampers global healthcare policies. This pandemic is a tactical shock as the extreme threat to the global order and political leaders.

5.8. Innovative Research and Development

COVID-19 recovery can innovate through technological science, medical science, crisis management interlinking with public and private sectors [4,5]. Innovations have a significant tool to play in improving from the aftershock of coronavirus. According to researchers [1], exposure to high RFID detects death and damage to living and non-living objects in less time in a dark than light environment.

5.9. Pandemic Disease Recovery Pathways

The recovery pathways from COVID-19 cover the patient’s awareness on suddenly sneezing, hiccups, coughing, hypnosis, runny nose and flatus after being in a fixed location, immediately closes individual’s eyes tightly, wear sun-glasses, clothes black cloths and quickly changes individual’s existing place to a new place [1,2,3]. During a stay in a new place, he/she will never allow mobile phones, sensor devices and other electronic devices. Patients stay home isolated with positive psychology, network isolator, sufficient light environment, changing individual’s GPS location, sense-creating food, drinks, nutritions and other relevant steps, which as shown in Figure 25. The recovery from COVID-19 illustrated the following postulates, such as:

Figure 25. Treatment Model from Coronavirus Disease [1]

(i) Individual + Frequent Yawning = Tightly closed eyes + change GPS location instantly + wearing Anti-radiation sunglasses.

(ii) Individual + Frequent Sneezing = Tightly closed eyes + wearing sunglasses + change location.

(iii) Individual + Frequent Hiccup = Tightly closed eyes + change GPS location promptly.

(iv) Individual + Frequent Flatus = Tightly closed eyes + change GPS location punctually.

(v) Individual + Hypnosis + weakness = Tightly closed eyes + wearing sunglasses + change location.

(vi) Individual + Teeth grinding = Tightly closed eyes + Putting salt-water in mouth for 3 minutes + change location immediately.

(vii) Individual + Anorexia + Weakness = Tightly closed eyes + taking a glass of Juice with sugar, lemon, zinger and hot water.

(viii) Individual + running / flying conditions + distributed sensor + Motion sensor = Affect in Individual or Object at Changeable of GPS /GNSS coordinates.

5.10. Mental Health Services

From the study, COVID recovery services were applied to 80% of psycho-technological and 20% of physical medicine [1]. The model works on COVID Recovery Administrative Isolated Wireless Sensor Networks for global public health and mental health services. The study illustrates all patients with coronavirus disease recover within 5-7 days to follow the disease recovery components. But the overweight and obese patients recover more than one week at light environment and 2-3 weeks at a dark environment.

5.11. Humanities and Social Relation

This pandemic is a tactical shock as the extreme threat to the global order and political leaders [1], which has interrupted the global economy, political relations and health policies through challenging the strength of humanities and social relations for active democracy. Due to lack of sensor knowledge, the authority of the Sovereign Country loses her democracy.

5.12. Further Alternative Treatment

Due to cutting-edge Nano-sensor technology the management of medication is not only for physicians but also recovery through the dynamic sensor experts [3]. Further personalism of medical science can be shared with multidisciplinary sectors including sensor technology, advanced nutrition and herbal digitalization. Dr Miah [3] stated that a doctor's personalism is required to be flexible in alternative treatment and recovery of CASSID. Sensor health technologies can treat patients with pandemic diseases except polypharmacy. Experts track in the same sensor can track repeatedly towards patients with required radio frequency for recovery from COVID-19 and others, like cardiac arrest, stroke, Acute Respiratory Distress Syndrome etc.

5.13. Challenges

Cutting-edge technology expands speedily according to user’s demand [1]. But its proper security is a gap in global public health towards present and upcoming generations. Besides, Cyber hackers create infodemic formula accelerating negative psychology through bouncing messages, mails, digital voicing, false interfacing, phishing, pharming, scamming, digital poisoning and sensor rumor towards mass people [31,32,33,34,35,36,37] as well as media exposure during the outbreaks of pandemic sensor disease [38,39,40,41,42,43,44].

5.14. Future Directions

Coronavirus is a peculiar virus worldwide. This is suspected among most people for new variants of coronavirus. When this virus will be ended from the world, still is unknown to all living human beings due to being unaware of innovative sensor technology. This coronavirus changes the life and living style globally as a survival condition. By abusing systematic sensor technology, cyber hackers held people all over the world hostage for months, threatening coronavirus disease. They killed above 4.5 million people through the misuse of innovative technology worldwide and made millions sicker, which they will continue to condemn in history [45].

In today's world sensor technology and people are deeply involved in every sphere. They are adorned with each other, and are rooted in happiness and sorrow and joy and pain, whose roots are deeply rooted. This wireless technology is an important means of communication in today's society. Again, this is the root of all adversities to the advanced world due to lack of effective security. Misdeeds are spreading all over the world. And there is an effect of delusion among people. On the way, almost every person is trapped in the circle of cyber antichrist, speechless in protest, mentally constricted in thought and consciousness. We seek the goodwill of the global higher authorities to bring them under the purview of the Information Technology Act administratively and officially and to give them a chance to defend themselves by declaring amnesty. Otherwise, recovery from pandemic diseases is threatening due to misusers.

Overall, people are the main factor of all sensor health problems, while they are the effective solution for global public health security.

6. Conclusions

The study concludes the discovery of coronavirus reflects on the human body with active sensor networks identifying fluctuated technological, physical and mental healthcare requirements. The basic requirements are misused by cyber hackers at GPS location. To recover the misdeeds, the user country of sensor technology ensures dynamic security. The study has assessed the impact of wireless sensor networks towards trachea for causes of death. The obese individuals are affected quickly on tracheal cancer in the dark environment and vice versa to the others. Based on this study, the human body is not secured due to misuse of wireless sensor networks with body boundary coordinates in the existing environment. Moreover, the administration should remove the databases related to the retina scanning, voice coding, personal fingerprint, and DNA structuring with sequencing and recognizing on the priority of Sustainable Development Goals 2030 and State Sensor Health Policy. The study suggests research trajectories of a new alternative sensor health network isolator to promote public health awareness.

7. Declarations

Funding

This research work is a part of PhD Thesis, which was funded by the Zamalah Postgraduate Scholarship of UNIMAS, Malaysia and also sponsored by the Information and Communication Technology Division, Ministry of Posts, Telecommunications and Information Technology, Government of People’s Republic of Bangladesh. The funders had no role in the design of the research, in data collection, analyses or final interpretation of data, in the writings of the manuscript, or in the decision to publish the findings.

Data Availability

The data being used to support the findings of this research work are available from the corresponding author upon request.

Competing Interests

The authors declare no potential conflict of interests in this research work.

ACKNOWLEDGEMENTS

The authors acknowledged the authority of Universiti of Malaysia Sarawak (UNIMAS), Malaysia for providing the Zamalah Postgraduate Scholarship for the completion of PhD degree. The authors are also grateful to the authority of the Information and Communication Technology Division, Ministry of Posts, Telecommunications and Information Technology, Government of People’s Republic of Bangladesh, for PhD Fellowship during the higher study in Malaysia. The authors acknowledged the authority of Northeast Medical College & Hospital (NEMCH) Pvt. Limited, Sylhet, Bangladesh for kind support.