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How Could Global E-Cigarette and E-Vaporizer Business Help COVID-Hit Brands?

E-cigarettes were originally marketed as a smoking cessation aid. They contain fewer toxic chemicals than ordinary cigarettes, so many people see them as a safer alternative (aside from the whole lung injury thing).

There are claims circulating online that vaping might threaten COVID-19 recovery even more than smoking a regular cigarette. These days it’s hard to know what is true about anything — but especially strange and exaggerated COVID information.

While research around COVID-19 is still emerging, there’s no evidence to suggest that e-Cigarette and e-Vaporizer are more harmful than smoking in this context. Both e-Cigarette and regular cigarettes are harmful to your health — so the larger issue is determining whether one of these harmful things causes any less harm than the other?

Both e-Cigarette and regular cigarettes affect your respiratory system and have the potential to damage your lungs.

Plus, both can weaken your immune system. With this combination of effects it means that you may be more likely to experience severe symptoms if you catch COVID — and less able to fight off the virus.

One report, looking at 1,099 laboratory-confirmed cases in China, revealed that 12.4% of smokers either died, required ICU admission, or needed intubation, compared to 4.7% among never smokers.

Another study found that among Chinese patients diagnosed with Covid-19 pneumonia, the odds of disease progression (including death) were an order of magnitude higher among smokers compared to non-smokers.

The World Health Organization has noted that cigarette smokers are likely to have more serious illness if infected with Covid-19.

The FDA has advised that cigarette smoking and vaping may leave users with underlying health conditions and increase the risk of coronavirus pneumonia and increase its severity.

Global E-Cigarette and E-Vaporizer Industry Landscape

The global E-Cigarette and E-Vaporizer industry size was valued at USD 12.41 billion in 2019, to expand over USD 86.5 by the year 2025, and is expected to grow at a CAGR of 24.10% during the forecast period.

On the basis of product type, modular e-cigarettes held the highest industry share of 56.8% in 2016due to flexibility in flavors and enhanced inhaling experience which is appreciable by the consumers. Whereas, on the other hand, the market share of rechargeable e-cigarettes was 40.90% in 2016 owing to the rising demand for the rechargeable liquids and reusable device on account of cost-saving for the consumers.

Based on geography, North America dominated the global e-cigarette and e-vaporizer Market with a market share of 41.2% in 2016 due to the easy availability of e-cigarettes in retail stores and online channels. With the increasing demand by the young population of North America is driving the e-cigarette and e-vaporizer Industry.

Despite all of the problems and health dangers — E-Cigarette and E-Vaporizer Are Still Capturing the Market As An Alternative To Conventional Cigarettes

An electronic cigarette (e-cigarette) is a battery-operated device that simulates the experience of tobacco smoking without the gulp of smoke. This device is an alternative to conventional cigarettes that emits vaporized nicotine which is inhaled by the user.

The e-cigarette and e-vaporizer Market is competing directly with the big tobacco and big pharmacy companies since 2012.

US is the world’s biggest market for e-cigarettes in 2019 with a market volume of USD 6.4 billion. As the global revenue is USD 18 billion, the US makes up for a third of it.

The UK comes in second place with a market volume of USD 3.2 billion, almost 17% of the global market share. Followed by Canada (USD 1.1 billion), France (USD 1 billion), and Germany (USD 996 million).

The global industry for e-cigarettes has been growing annually by almost 20% from USD 5.1 billion in 2012 to the global projected revenue of USD 19.3 billion for 2020. The industry will further grow by 37% to almost USD 24.2 billion in the next five years.

While recent vaping scandals in the US have sharply affected the growth of e-cigarette revenue, the growth rate was 18.1% in 2018, but only 7.3% in 2019, the future looks more stable.

Companies invest actively in R&D for continuous innovation and new product development.

For instance, in 2018, Altria Group, Inc. invested USD 252 million in R&D for the development of advanced e-cigarette and E-vaporizer.

With the increasing number of brands and the market players are escalating the competition with advanced product launches, enhancing the quality and customization in the products.

Due to growing health awareness and environmental-friendly usage, the market for global e-cigarette and e-vaporizer is growing.

Image Credit: Thorn Yang; Pexels

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AI Big Data Analytics big data in the fight against covid-19 Health Impact of COVID-19 IoT Productivity Tech

How Big Data Analytics Address COVID-19 Concern in Healthcare Industry?

big data analytics and covid

The Coronavirus Pandemic has spurred interest in big data to track the spread of the fast-moving pathogen and to plan disease prevention efforts. But the urgent need to contain the outbreak shouldn’t cloud thinking about big data’s potential to do more harm than good. Here is how big data analytics address COVID-19 concern in the healthcare industry.

Big data’s blind spots could lead public health authorities astray, diverting critical resources from proven containment methods such as aggressive testing.

They could also lead to draconian restrictions that disproportionately impact the rights of those under- or misrepresented by the data. In Israel, the government’s cell phone location-tracking program has caused complaints that the authorities are erroneously confining people to their homes based on inaccurate location data.

While the capacity of big data to help curb the coronavirus outbreak is, at best, uncertain, its risks to privacy are immense. Governments and companies have cited the anonymization of personal data as a key privacy safeguard, but multiple studies show that this may only delay rather than prevent the person’s re-identification.

Location data is particularly vulnerable since it can be combined with public and private records to create an intricate and revealing map of a person’s movements, associations, and activities.

Impact of Big Data Analytics in Healthcare on COVID-19 Outbreak

COVID-19 has arrived with consequences that are grave and unsettling. Big Data lies at the heart of efforts to comprehend and forecast the impact that Coronavirus will have on all of us.

The near real-time COVID-19 trackers that continuously pull data from sources around the world are helping healthcare workers, scientists, epidemiologists and policymakers aggregate and synthesize incident data on a global basis.

There has been some interesting data resulting from GPS analyses of population movement by region, city, etc., which ultimately helps provide a view of the population’s compliance — or lack of compliance — with social-distancing mandates.

There are many opportunities to make the use of Big Data more impactful in situations like these as a society and as an industry, though no one yet been able to effectively leverage the power of Big Data in search of a cure.

Ideas such as creating large scale COVID-19 Real World Evidence (RWE) studies that pull data from a variety of real-world sources — including patients now be treated in the hospital setting — could help accelerate the development of treatments in a more patient-centric and patient-friendly way.

Global Big Data Analytics in Healthcare Industry Landscape

According to Goldstein Market Intelligence research, the market size of big data analytics in the healthcare industry was valued at USD 16.90 billion in 2017 and is projected to reach USD 68.20 billion by 2025 and is expected to expand at a CAGR of 18.6% over the forecast period.

Based on types of analytics type, the descriptive analytics segment is anticipated to account for the largest share of the big data healthcare analytics market and continue to dominate the big data analytics in the healthcare industry during the forecast period.

Based on geography, North America is expected to dominate the market followed by Europe during the forecast period, due to a rise in advancements in IoT and an increase in the demand for analytical models on patient information for better service delivery, government policies.

Substantial Upsurge in Demand for Financial Analytics in Healthcare is Driving The Global Big Data Analytics in Healthcare Industry

Every day, people working with various organizations around the world are generating a massive amount of data. The term “digital universe� quantitatively defines such massive amounts of data created, replicated, and consumed in a single year.

The digital universe in 2017 expanded to about 16,000 EB or 16 zettabytes (ZB) and would expand to 40,000 EB by the year 2020.

National Institutes of Health (NIH) recently announced the “All of Us� initiative that aims to collect one million or more patient’s data such as EHR, including medical imaging, socio-behavioral, and environmental data over the next few years. EHRs have introduced many advantages in handling modern healthcare related data.

The advantage of EHRs is that healthcare professionals have an improved access to the entire medical history of a patient. The information includes medical diagnoses, prescriptions, data related to known allergies, demographics, clinical narratives, and the results obtained from various laboratory tests.

Major factors driving the growth of big data analytics in the healthcare sector include substantial upsurge in demand for financial analytics. There is an increased demand for discovering structured and unstructured data existing in the healthcare industry, declining costs, and accessibility of big data software and services. There is also augmented adoption of novel technologies for data analytics in healthcare industry transformations, worldwide.

Big Data Analytics have already made a significant impact on grounds related to healthcare: medical diagnosis from imaging data in medicine, quantifying lifestyle data in the fitness industry, to mention a few.

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