NOTE: This dataset is no longer being updated as of 4/27/2023. It is retired and no longer included in public COVID-19 data dissemination. See this link for more information https://imap.maryland.gov/pages/covid-data Summary The daily cumulative total of COVID-19 tests administered in Maryland and the average percent daily positive rate. Description Testing volume data represent the static daily total of PCR COVID-19 tests electronically reported for Maryland residents; this count does not include test results submitted by labs and other clinical facilities through non-electronic means. The percent positive rate is a seven-day rolling average of positive results as a percentage of all tests. Data are lectronic lab reports from NEDDSS. Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

This is the de-identified data set used to conduct the analyses in the preprint submitted to JMIR Public Health and Surveillance under the title "Interactive versus static decision support tools for COVID-19: An experimental comparison" (https://doi.org/10.2196/preprints.33733).

This data set contains the appraisal of 196 respondents (without decision support, with static or with interactive decision support) to appropriate social and care-seeking behavior for seven fictitious descriptions of patients. Additionally, this data contains participants'

• gender
• educational background
• previous medical training
• affinity for technology
• experience with COVID-19 related medical questions
• perceived threat from COVID-19
• answers to a COVID-19 knowledge test
• accuracy
• decision certainty (after deciding)
• mental effort
• ratings of
  • the decision support tool's usefulness
  • ease of use
  • trust
  • future intention to use the tool

Context

Within the current response of a pandemic caused by the SARS-CoV-2 coronavirus, which in turn causes the disease, called COVID-19. It is necessary to join forces to minimize the effects of this disease.

Therefore, the intention of this dataset is to save data scientists time:

• Gather the data at the country level, encoding the country with its ISO code to allow easy access to other data
• Perform pre-processing of data, calculations of increments and other indicators that can facilitate modeling.
• Add the response of the governments over time so that it can be taken into account in the modeling.
• Daily update.

This dataset is not intended to be static, so suggestions for expanding it are welcome. If someone considers it important to add information, please let me know.

Content

The data contained in this dataset comes mainly from the following sources:

Source: Center for Systems Science and Engineering (CSSE) at Johns Hopkins University https://github.com/CSSEGISandData/COVID-19 Provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE): https://systems.jhu.edu/

Source: OXFORD COVID-19 GOVERNMENT RESPONSE TRACKER https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker Hale, Thomas and Samuel Webster (2020). Oxford COVID-19 Government Response Tracker. Data use policy: Creative Commons Attribution CC BY standard.

The original data is updated daily.

The features it includes are:

• Country Name

• Country Code ISO 3166 Alpha 3

• Date

• Incidence data:

  • confirmed
  • deaths
  • recoveries

• Daily increments:

  • confirmed_inc
  • deaths_inc
  • recoveries_inc

• Empirical Contagion Rate - ECR

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3508582%2F3e90ecbcdf76dfbbee54a21800f5e0d6%2FECR.jpg?generation=1586861653126435&alt=media" alt="">

• GOVERNMENT RESPONSE TRACKER - GRTStringencyIndex

  OXFORD COVID-19 GOVERNMENT RESPONSE TRACKER - Stringency Index

• Indices from Start Contagion

  • Days since the first case of contagion is overcome
  • Days since 100 cases are exceeded

• Percentages over the country's population:

  • confirmed_PopPct
  • deaths_PopPct
  • recoveries_PopPct

The method of obtaining the data and its transformations can be seen in the notebook:

Notebook COVID-19 Data by country with Government Response

Photo by Markus Spiske on Unsplash

Deprecated as of 4/27/2023On 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. For more information, visit https://imap.maryland.gov/pages/covid-dataSummaryThe daily cumulative total of COVID-19 tests administered in Maryland and the average percent daily positive rate.DescriptionTesting volume data represent the static daily total of PCR COVID-19 tests electronically reported for Maryland residents; this count does not include test results submitted by labs and other clinical facilities through non-electronic means. The percent positive rate is a five-day rolling average of positive results as a percentage of all tests.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

Deprecated as of 12/3/2021. This table will no longer be updated.SummaryThe 7-day average percent positive rate for COVID-19 tests adminstered among Marylanders under 35 years of age and over 35 years of age.DescriptionTesting volume data represent the static daily total of PCR COVID-19 tests electronically reported for Maryland residents; this count does not include test results submitted by labs and other clinical facilities through non-electronic means. The 7-day percent postive rate is a rolling average of each day’s positivity percentage. The percentage is calculated using the total number of tests electronically reported to MDH (by date of report) and the number of positive tests electronically reported to MDH (by date of report).COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

Geostatistics analyzes and predicts the values associated with spatial or spatial-temporal phenomena. It incorporates the spatial (and in some cases temporal) coordinates of the data within the analyses. It is a practical means of describing spatial patterns and interpolating values for locations where samples were not taken (and measures the uncertainty of those values, which is critical to informed decision making). This archive contains results of geostatistical analysis of COVID-19 case counts for all available US counties. Test results were obtained with ArcGIS Pro (ESRI). Sources are state health departments, which are scraped and aggregated by the Johns Hopkins Coronavirus Resource Center and then pre-processed by MappingSupport.com.

This update of the Zenodo dataset (version 6) consists of three compressed archives containing geostatistical analyses of SARS-CoV-2 testing data. This dataset utilizes many of the geostatistical techniques used in previous versions of this Zenodo archive, but has been significantly expanded to include analyses of up-to-date U.S. COVID-19 case data (from March 24th to September 8^th, 2020):

Archive #1: “1.Geostat. Space-Time analysis of SARS-CoV-2 in the US (Mar24-Sept6).zip” – results of a geostatistical analysis of COVID-19 cases incorporating spatially-weighted hotspots that are conserved over one-week timespans. Results are reported starting from when U.S. COVID-19 case data first became available (March 24^th, 2020) for 25 consecutive 1-week intervals (March 24th through to September 6th, 2020). Hotspots, where found, are reported in each individual state, rather than the entire continental United States.

Archive #2: "2.Geostat. Spatial analysis of SARS-CoV-2 in the US (Mar24-Sept8).zip" – the results from geostatistical spatial analyses only of corrected COVID-19 case data for the continental United States, spanning the period from March 24^th through September 8th, 2020. The geostatistical techniques utilized in this archive includes ‘Hot Spot’ analysis and ‘Cluster and Outlier’ analysis.

Archive #3: "3.Kriging and Densification of SARS-CoV-2 in LA and MA.zip" – this dataset provides preliminary kriging and densification analysis of COVID-19 case data for certain dates within the U.S. states of Louisiana and Massachusetts.

These archives consist of map files (as both static images and as animations) and data files (including text files which contain the underlying data of said map files [where applicable]) which were generated when performing the following Geostatistical analyses: Hot Spot analysis (Getis-Ord Gi*) [‘Archive #1’: consecutive weeklong Space-Time Hot Spot analysis; ‘Archive #2’: daily Hot Spot Analysis], Cluster and Outlier analysis (Anselin Local Moran's I) [‘Archive #2’], Spatial Autocorrelation (Global Moran's I) [‘Archive #2’], and point-to-point comparisons with Kriging and Densification analysis [‘Archive #3’].

The Word document provided ("Description-of-Archive.Updated-Geostatistical-Analysis-of-SARS-CoV-2 (version 6).docx") details the contents of each file and folder within these three archives and gives general interpretations of these results.

SummaryThe daily cumulative total of COVID-19 tests administered in Maryland and the average percent daily positive rate.DescriptionTesting volume data represent the static daily total of PCR COVID-19 tests electronically reported for Maryland residents; this count does not include test results submitted by labs and other clinical facilities through non-electronic means. The percent positive rate is a five-day rolling average of positive results as a percentage of all tests.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

According to a January 2021 study, more than 90 percent of surveyed Spanish wineries claimed to have experienced a decline in the number of visitors during the coronavirus (COVID-19) pandemic compared to 2019. By contrast, less than half of the German wineries involved in the study said the same.

This fileset contains two data files:These are: 22927448_new macro-model.wf1 in .wf1 file format, and the openly accessible versioin of the dataset, Time series and scenarios.xlsx in .xlsx file format.The dataset Time series and scenarios.xlsx contains observations on what happens to GDP, capital stock, human capital, and employment, in three economic scenarios – shocks – of how the pandemic disease might impact the economy of Montenegro in the dawn of entering the European Union. The authors forecast a sustainable GDP growth model from January 2006 until December 2017. Deterministic-static simulation solution model – the baseline – was employed, adding sensitivity scenarios – shocks – from January 2018 until Jun 2018, respectively, from -10% until -60%. The following time series data are included: GDP_GAP (The GDP GAP is defined as the difference between potential GDP and real GDP), EMP_SA (denotes seasonally adjusted employment time series), CAPITAL_STOCK_SA (denotes seasonally adjusted capital stock time series), LOGHUMCAP_SA (denotes the natural logarithm of human capital seasonally adjusted time series).In each spreadsheet, S1, S2 and S3 represent the three different scenarios.Scenario 1 represents the employment decrease, scenario 2 represents the capital decrease, and scenario 3 represents the human capital decrease.Study aims and methodology: A limited number of studies have examined the potential consequences of a pandemic such as COVID-19, on the economy of Montenegro. The objective of this paper is to fill this space by examining the macroeconomic effects of COVID-19, employing monthly data from January 2006 until 2017, and out-of-sample data from January 2018 until December 2018, predicting the movement of macro-model variables.In this study, the authors measured the COVID-19 impact for the first time in the Montenegrin economy using a Bayesian vector autoregressive (VAR) and forecasting sensitivity deterministic-static scenario model. They applied alternative forecasting scenarios to all the macroeconomic variables. For more details on the methodology, please read the related article.Software needed to access data: The WF1 file type is primarily associated with EViews Workfile. (Econometric software). A suitable software like EViews Workfile, is needed to open a WF1 file.

In 2021, the expenditure on digital static display advertising in the information technology category in South Korea increased by 4.4 million U.S. dollars (13.9 percent) compared to 2020. Despite the growth, the advertising spending remained below that recorded previous to the COVID-19 pandemic.For more insights about advertising in South Korea: In 2021, in comparison to ad spend in the information technology category on digital static display, the ad expenditure in the information technology category on television as well as on newspaper was considerably higher.

According to Cognitive Market Research, the global Antistatic Brush market size is USD 218.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.20% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 84.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.4% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 65.58 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 50.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.2% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 10.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.6% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 4.37 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
The Nylon held the highest Antistatic Brush market revenue share in 2024.

Market Dynamics of Antistatic Brush Market

Key Drivers for Antistatic Brush Market

Rise in Demand Across Industries to Increase the Demand Globally

Antistatic brushes are increasingly essential across a couple of industries. In electronics production, they prevent electrostatic discharge (ESD), safeguarding sensitive components. Cleanrooms rely on those brushes to preserve static-free environments critical for pharmaceutical and semiconductor manufacturing. Automotive programs consist of cleaning interiors and enhancing paint techniques by minimizing dirt attraction. Even in families, antistatic brushes are valued for cleaning electronics, furniture, and other surfaces prone to static construction. Their versatility and effectiveness make them important equipment throughout electronics, cleanrooms, automobiles, and home settings, ensuring both product first-rate and operational protection.

Growing Focus on ESD Protection: to Propel Market Growth

The miniaturization and complexity of digital devices have heightened awareness approximately the risks of electrostatic discharge (ESD) harm. As additives reduce, they grow to be extra vulnerable to ESD, which could cause malfunctions or whole failure. This fashion underscores the growing demand for antistatic brushes across production and coping with procedures. These brushes play a vital role in mitigating ESD risks via competently discharging static power from surfaces and components. They are vital tools in electronics manufacturing facilities, wherein shielding touchy circuitry from static-related damage is paramount. The developing attention on ESD protection underscores the significance of antistatic brushes in making sure the reliability and longevity of current digital devices, using their adoption throughout the enterprise.

Restraint Factor for the Antistatic Brush Market

Cost Considerations to Limit the Sales

Antistatic brushes, notwithstanding their lengthy-term advantages in preventing harm from electrostatic discharge (ESD) and keeping the product nice, regularly include a higher initial fee than traditional brushes. This cost disparity can be a good sized consideration for finances-conscious purchasers and industries. While antistatic brushes offer advanced performance and durability, their better upfront expense may require cautious budget-making plans or justification within shopping selections. However, their effectiveness in stopping high-priced ESD-associated disasters and maintaining operational performance frequently justifies the initial funding through the years. Companies weighing these factors ought to stabilize instantaneous cost issues with the ability to long-term savings and reliability blessings that antistatic brushes provide, making sure they make informed choices primarily based on both short-term price range constraints and long-term period operational needs.

Impact of Covid-19 on the Antistatic Brush Market

The COVID-19 pandemic had an amazing impact on the antistatic brush market throughout diverse sectors. Initially, disruptions in manufacturing and delivery chains affected the supply of those specialized brushes. However, as industries adapted to new hygiene and protection protocols, especial...

According to Cognitive Market Research, the global Anti Static Fibres market size will be USD 716.9 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 286.76 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 215.07 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 164.89 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 35.85 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 14.34 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.7% from 2024 to 2031.
The polyester category is the fastest growing segment of the Anti Static Fibres industry

Market Dynamics of Anti Static Fibres Market

Key Drivers for Anti Static Fibres Market

Growing Demand from the Electronics Sector to Boost Market Growth

The growing demand from the electronics industry is one of the main factors propelling the anti-static fibre market industry's expansion. The manufacturing of electronic components is getting more complicated as technology advances, necessitating the use of materials that can fend against static electricity, which could otherwise cause delicate electronics to break or fail. Anti-static fibres are essential for a number of uses, such as clothing, packaging, and specialised machinery used in the production of electronics.This need is exacerbated by the growing tendency of electronic device miniaturisation since smaller components are more vulnerable to static discharge. It is anticipated that the electronics industry's significant reliance on anti-static fibres will support market growth. For instance, India, considered a popular manufacturing hub, has grown its domestic electronics production from US$ 29 billion in 2014-15 to US$ 101 billion in 2022-23. Electronics Manufacturing in India, which stated that the electronics manufacturing industry will grow from the current US$ 75 billion in 2020-21 to US$ 300 billion by 2025-26.

Development in the Automobile Industry to Drive Market Growth

The anti-static fibre market industry is greatly influenced by the rapid evolution of the automobile sector. The demand for materials that can counteract static electricity is rising due to factors like advancements in automobile technologies, such as electric and hybrid cars. Anti-static fibres are crucial for avoiding the accumulation of static charges that may harm automobile electronics. The requirement for anti-static technologies increases as automobiles become more electrified with sophisticated safety features, automated driving, and infotainment systems.Manufacturers are using anti-static fibres to increase component dependability and adhere to safety regulations, which is supporting market expansion.

Restraint Factor for the Anti-Static Fibres Market

High Cost of Anti-Static Fibers Will Limit Market Growth

One of the biggest obstacles facing the business is the high price of anti-static fibres. This is because producing these fibres requires certain raw materials and production techniques. The type of fibre, the degree of anti-static performance, and the amount requested can all affect the price of anti-static fibres. As was previously said, some manufacturers and customers may find it difficult to enter the market due to the high cost of anti-static fibres. The limited availability of anti-static fibres compared to normal fibres may restrict their use in specific applications. Even if anti-static fibres work well to reduce static electricity, other techniques like grounding or using anti-static sprays might work better.

Impact of Covid-19 on the Anti Static Fibres Market

The market for anti-static fibres was first impacted by the COVID-19 pandemic because of labour constraints, supply chain interruptions, and a decline in demand from specific end-use sectors. However, the market has exhibited indi...

According to Cognitive Market Research, the global antistatic bag market size will be USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 11.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD XX million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.7% from 2024 to 2031.
The speciality stores category is the fastest growing segment of the antistatic bag industry

Market Dynamics of Antistatic Bag Market

Key Drivers for Antistatic Bag Market

Greater Demand for Electronics Devices to Boost Market Growth

The rising need for electronic devices is one factor propelling the antistatic bags industry. Protective packaging is becoming more important to prevent static electricity damage to delicate components in the ever-increasing market for electronic devices like smartphones, laptops, wearables, and more. These devices rely on antistatic bags to keep them safe and intact throughout production, storage, and shipping. Additionally, these are becoming more and more dependent on electronics, which is driving the need for high-quality antistatic packaging solutions. The consumer electronics market is also predicted to boom, adding to this demand, which increases the market demand. For instance, FOODTECH TAIPEI, BIO/PHARMATECH TAIWAN, TAIPEI PACK, and TAIWAN HORECA are excited to present the first Green Vision Award. This award honors vendors who go above and beyond to protect the environment, be socially responsible, and run their businesses well. All companies that compete for this award are encouraged to use ESG principles in their work. This helps the food industry become more environmentally friendly and grow in a way that doesn’t harm the environment.

Advancements in Technology to Drive Market Growth

The market for antistatic bags is expanding due to technological advancements. There is a rising demand for innovative packaging methods to safeguard increasingly complex electronics. Additionally, new advancements in materials, like better conductive and dissipative films, improve antistatic bag effectiveness. Better manufacturing procedures also allow for more cost-effective production, which means these bags are more accessible. Moreover, the need for safe packaging is on the rise due to developments such as the Internet of Things, 5G technology, and smart devices, which are driving the antistatic bags market.

Restraint Factor for the Antistatic Bag Market

High Cost of Manufacturing and Limited Awareness Will Limit Market Growth

One major obstacle to the expansion of the antistatic bag industry is the high production cost of these bags. The use of specialist materials and complex technologies in their creation makes these bags more expensive, particularly for small enterprises. Furthermore, not everyone is aware that antistatic bags are necessary to safeguard delicate electronic components. Additionally, some sectors are hesitant to use these protective solutions due to a lack of education, which limits their ability to reach a wider population. The high production costs and lack of awareness constraints limit the potential for growth in the antistatic bags industry.

Impact of Covid-19 on the Antistatic Bags Market

The COVID-19 pandemic had a big effect on the market for antistatic bags. This was mostly because it tampered up global supply lines and made manufacturers change their priorities. When electronics and automakers had to stop making things, the demand for antistatic bags, which are needed to protect sensitive parts, went up and down. Additionally, more safe packaging was needed because more people work from home and...

According to Cognitive Market Research, The Global Static Seating System market size is USD XX billion in 2023 and will expand at a compound annual growth rate (CAGR) of 4.80% from 2023 to 2030.

The demand for Static Seating Systems is rising due to the rising demand for modern entertainment venues and urbanization and infrastructure development.
Demand for Leather Seat remains higher in the Static Seating System market.
The Commercial Aircraft Seating category held the highest Static Seating System market revenue share in 2023.
North American Static Seating System will continue to lead, whereas the Asia-Pacific Static Seating System market will experience the most substantial growth until 2030.

Growing Demand for Modern Entertainment Venues to Provide Viable Market Output

The Static Seating System market is driven by the increasing demand for modern entertainment venues globally. The proliferation of theatres, cinemas, and stadiums, coupled with the rising emphasis on providing a superior audience experience, fuels the demand for state-of-the-art static seating solutions. Venue owners and operators are increasingly investing in comfortable, ergonomic, and aesthetically pleasing seating arrangements to enhance the overall viewing experience, driving the market's growth.

October 2020- Collins Aerospace Systems, a unit of Raytheon Technologies Corp., announced that the company has been awarded a sole-source USD 700 million firm-fixed-price, indefinite-delivery/indefinite-quantity contract for the delta qualification, production, and fielding of a next-generation ejection seat for various Air Force aircraft.

Source-www.collinsaerospace.com/what-we-do/industries/military-and-defense/interiors/aces-5-next-generation-ejection-seat/aces-5-updates/articles

Impact of COVID-19 Disruptions to Restrict Market Growth

The Static Seating System market faced a significant setback due to the impact of COVID-19 disruptions. The pandemic led to closures of entertainment venues, educational institutions, and sports facilities, resulting in project delays and cancellations. The temporary halt in events and the reduced capacity requirements in public spaces, coupled with supply chain disruptions and manufacturing challenges, posed a major restraint. The market had to navigate through uncertainties, adapt to changing demands such as social distancing, and find innovative solutions to revive growth in the post-pandemic landscape. What is the Static Seating System?

The static seating system market refers to the industry that produces and supplies seating systems designed for fixed or stationary installations in various settings. These seating systems are characterized by their immobility and are commonly used in spaces where the seating arrangement is intended to remain in a fixed position. Growth fuelled by the rising demand for modern entertainment venues and urbanization and infrastructure development.

For instance, November 2021- Expliseat was selected for the Airbus Innovation Award's top three finalists. Expliseat revolutionary seating technology was recognized by Airbus during the 2021 Global Supplier Conference, helping for a more efficient and sustainable flight.

Source-www.expliseat.com/wp-content/uploads/2022/02/211118-Innovation-Award-v0.4.pdf

Additional file 5: Table S4. Results from the static models.

In order to facilitate public review and access, enrollment data published on the Open Data Portal is provided as promptly as possible after the end of each month or year, as applicable to the data set. Due to eligibility policies and operational processes, enrollment can vary slightly after publication. Please be aware of the point-in-time nature of the published data when comparing to other data published or shared by the Department of Social Services, as this data may vary slightly.

As a general practice, for monthly data sets published on the Open Data Portal, DSS will continue to refresh the monthly enrollment data for three months, after which time it will remain static. For example, when March data is published the data in January and February will be refreshed. When April data is published, February and March data will be refreshed, but January will not change. This allows the Department to account for the most common enrollment variations in published data while also ensuring that data remains as stable as possible over time. In the event of a significant change in enrollment data, the Department may republish reports and will notate such republication dates and reasons accordingly. In March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021. Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. Effective January 1, 2021, this coverage group have been separated: (1) the COVID-19 Testing Coverage for the Uninsured is now G06-I and is now listed as a limited benefit plan that rolls up into “Program Name” of Medicaid and “Medical Benefit Plan” of HUSKY Limited Benefit; (2) the emergency medical coverage has been separated into G06-II as a limited benefit plan that rolls up into “Program Name” of Emergency Medical and “Medical Benefit Plan” of Other Medical. An historical accounting of enrollment of the specific coverage group starting in calendar year 2020 will also be published separately. The data represents number of active recipients who received benefits from a type of assistance (TOA) in that calendar year and month. A recipient may have received benefits from multiple TOAs in the same month; if so that recipient will be included in multiple categories in this dataset (counted more than once.) For privacy considerations, a count of zero is used for counts less than five.

The methodology for determining the address of the recipients changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016. 2. If, in a given month, a recipient has benefit records in both the HIX system and in the ImpaCT system, the address of the recipient is now calculated as follows to resolve conflicts: Use the residential address in ImpaCT if it exists, else use the mailing address in ImpaCT if it exists, else use the address in HIX. This resulted in a reduction in counts for most townships starting in March 2017 because a single address is now used instead of two when the systems do not agree.

In order to facilitate public review and access, enrollment data published on the Open Data Portal is provided as promptly as possible after the end of each month or year, as applicable to the data set. Due to eligibility policies and operational processes, enrollment can vary slightly after publication. Please be aware of the point-in-time nature of the published data when comparing to other data published or shared by the Department of Social Services, as this data may vary slightly. As a general practice, for monthly data sets published on the Open Data Portal, DSS will continue to refresh the monthly enrollment data for three months, after which time it will remain static. For example, when March data is published the data in January and February will be refreshed. When April data is published, February and March data will be refreshed, but January will not change. This allows the Department to account for the most common enrollment variations in published data while also ensuring that data remains as stable as possible over time. In the event of a significant change in enrollment data, the Department may republish reports and will notate such republication dates and reasons accordingly. In March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021. Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. Effective January 1, 2021, this coverage group have been separated: (1) the COVID-19 Testing Coverage for the Uninsured is now G06-I and is now listed as a limited benefit plan that rolls up into “Program Name” of Medicaid and “Medical Benefit Plan” of HUSKY Limited Benefit; (2) the emergency medical coverage has been separated into G06-II as a limited benefit plan that rolls up into “Program Name” of Emergency Medical and “Medical Benefit Plan” of Other Medical. An historical accounting of enrollment of the specific coverage group starting in calendar year 2020 will also be published separately. This data represents number of active recipients who received benefits under a medical benefit plan in that calendar year and month. A recipient may have received benefits from multiple plans in the same month; if so that recipient will be included in multiple categories in this dataset (counted more than once.) 2021 is a partial year. For privacy considerations, a count of zero is used for counts less than five. NOTE: On April 22, 2019 the methodology for determining HUSKY A Newborn recipients changed, which caused an increase of recipients for that benefit starting in October 2016. We now count recipients recorded in the ImpaCT system as well as in the HIX system for that assistance type, instead using HIX exclusively. Also, corrections in the ImpaCT system for January and February 2019 caused the addition of around 2000 and 3000 recipients respectively, and the counts for many types of assistance (e.g. SNAP) were adjusted upward for those 2 months. Also, the methodology for determining the address of the recipients changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016. 2. If, in a given month, a recipient has benefit records in both the HIX system and in the ImpaCT system, the address of the recipient is now calculated as follows to resolve conflicts: Use the residential address in ImpaCT if it exists, else use the mailing address in ImpaCT if it exists, else use the address in HIX. This resulted in a reduction in counts for most townships starting in March 2017 because a single address is now used instead of two when the systems do not agree.\ NOTE: On February 14 2019, the enrollment

According to Cognitive Market Research, the global Static Voltage Stabilizer market size will be USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 7.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD XX million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Static is the most rapidly growing segment

Market Dynamics of Static Voltage Stabilizer Market

Key Drivers for Static Voltage Stabilizer Market

Increasing Demand for Electronic Products across Tier-II, III, and IV Cities

Consumer equipment such as air conditioners, televisions, and freezers have become increasingly popular in recent years, particularly in the aftermath of the COVID-19 epidemic, as people continue to work remotely. As a result, the average ticket size of sales for comfort home items has risen dramatically. For instance, tier-ll towns and towns have a 12% higher demand for split air conditioners than tier-l cities. Furthermore, there is a considerable demand for premium goods in the smaller Tier-ll cities, such as larger-screen TVs, nicer refrigerators, washing machines, and LOT and Al-enabled devices. People in tier-ll, -Ill, and -IV cities rely extensively on e-commerce platforms to purchase these items; major e-commerce companies like Amazon, Flipkart, and Snapdeal receive 60% of their online orders from tier-ll towns. Because of the strong relationship between stabilizers and consumer appliance sales, increased sales of consumer appliances would eventually result in a high demand for stabilizers throughout these cities

Rising Expenditure on Consumer Electronics to Propel Market Growth

The rise in demand for voltage stabilizer systems can be attributed to the increased usage of building automation, particularly in developing countries with acute power shortages. The need for voltage stabilizer systems has risen due to increased spending on consumer electronics. According to the study, the ongoing upgrading of transmission and power distribution networks in industrialized nations will have a significant impact on the global market's increasing profitability. The market does, however, face significant challenges, such as the new developments of the green revolution. Customers and governments alike should restrict their spending on electronics as they compete to reduce carbon emissions. This will reduce the necessity for voltage stabilization equipment

Restraint Factor for the Static Voltage Stabilizer Market

High initial costs associated with the installation of static voltage stabilizers

One of the major growth barriers to the Static Voltage Stabilizer Market is that their high initial installation cost. It becomes a significant inhibitor for many businesses, especially small and medium-sized enterprises, due to the high cost in purchasing and installing these stabilizers, as the cost does not only consist of the equipment themselves but also includes installation costs, maintaining, and integrating them with existing electrical systems. This may imply that firms may delay or avoid the investment in the static voltage stabilizers and instead adopt cost-friendly alternatives or forego the updates. This reluctance to invest reduces the expansion of the market altogether, though it is growing in demand for stable power supply in most sectors.

Impact of Covid-19 on the Static Voltage Stabilizer Market

The outbreak of Covid-19 disrupted supply chain and manufacturing processes, and its impact on the Static Voltage Stabilizer Market, therefore, had been quite significant. While several industries shuttered partially or fully during th...

The Novel Coronavirus (COVID-19) pandemic is an emerging, rapidly evolving situation. This Impact Planning Report provides demographic statistics and information for Baldwin County relevant to COVID-19 vulnerability. This report was generated as an informatic by the Middle Georgia Regional Commission MGRC) using Esri's Business Analyst Online (BAO) interface. The data represented on this informatic is to be used for general planning purposes only and is a static representation of demographics at the time of report generation by MGRC in March 2020. To stay up-to-date on information, please refer to the U.S. Centers for Disease Control and other official outlets for new and breaking information as it becomes available.

ObjectiveTelerehabilitation and telemedicine have gradually gained popularity. In 2019, the outbreak of COVID-19 started in Wuhan and then spread across the world. To date, most countries have opted to coexist with the virus. However, patients, especially those who have suffered a stroke, should take measures to avoid being infected with any disease as much as possible since any infectious disease can lead to adverse events for them. Telerehabilitation can be beneficial to stroke patients as they are less likely to be infected by the virus. In recent years, several studies on telerehabilitation have been conducted globally. This meta-analysis aimed to investigate the effects of telerehabilitation on the balance ability of stroke patients, compare the efficacy of conventional rehabilitation with telerehabilitation, explore the characteristics of telerehabilitation and conventional rehabilitation, and provide recommendations for rehabilitation programs in the context of the global pandemic.MethodsWe searched Pubmed, Embase, the Web of Science, and The Cochrane Library databases from 1 January 2020 to 31 December 2022 for randomized controlled trials published in English that evaluated the improvement of balance function in stroke patients after telerehabilitation and compared the differences between telerehabilitation (TR) and conventional rehabilitation (CR). The random-effects model was utilized to calculate mean differences (MDs) with 95% confidence intervals (CIs) to estimate intervention effects. Statistical heterogeneity was assessed according to the I2 values. The risk of bias was measured using the Cochrane risk-of-bias assessment tool.ResultsWe included nine studies in the system evaluation, all of which were included in the pooled analysis. All outcomes in the experimental and control groups improved over time. The comparison between groups concluded that people who received the telerehabilitation intervention had a significant improvement in the Berg Balance Scale (MD = 2.80; 95% CI 0.61, 4.98, P < 0.05, I2 = 51.90%) and the Fugl-Meyer Assessment (MD = 8.12; 95% CI 6.35, 9.88, P < 0.05, I2 = 0) compared to controls. The Timed Up and Go test (MD = −4.59; 95% CI −5.93, –.25, P < 0.05, I2 = 0) and Tinetti Performance-Oriented Mobility Assessment—Balance (MD = 2.50; 95% CI 0.39, 4.61, P < 0.05) scored better in the control group than in the experimental group. There were no significant differences in other outcomes between the two groups.ConclusionStudies on changes in medical conditions during the COVID-19 pandemic also demonstrated that, for stroke patients, telerehabilitation achieves similar effects as the conventional rehabilitation model and can act as a continuation of the conventional rehabilitation model. Owing to the different equipment and intervention programs of telerehabilitation, its curative effect on the static balance and reactive balance of stroke patients may be different. Currently, telerehabilitation may be more conducive to the rehabilitation of patients' static balance abilities, while conventional rehabilitation is more effective for the rehabilitation of patients' reactive balance. Therefore, further studies are needed for investigating the difference in efficacy between varied devices and telerehabilitation programs. Further research is needed on static and reactive balance. In addition, such research should have a large body of literature and a large sample size to support more definitive findings based on the context of the COVID-19 pandemic.Systematic review registrationCRD42023389456.