15 datasets found
  1. m

    COVID-19 reporting

    • mass.gov
    Updated Dec 4, 2023
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    Executive Office of Health and Human Services (2023). COVID-19 reporting [Dataset]. https://www.mass.gov/info-details/covid-19-reporting
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    Dataset updated
    Dec 4, 2023
    Dataset provided by
    Department of Public Health
    Executive Office of Health and Human Services
    Area covered
    Massachusetts
    Description

    The COVID-19 dashboard includes data on city/town COVID-19 activity, confirmed and probable cases of COVID-19, confirmed and probable deaths related to COVID-19, and the demographic characteristics of cases and deaths.

  2. Uptick in streaming services consumption due to the coronavirus U.S. 2020

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Uptick in streaming services consumption due to the coronavirus U.S. 2020 [Dataset]. https://www.statista.com/statistics/1107238/svod-consumption-increase-coronavirus-us/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 18, 2020 - Mar 19, 2020
    Area covered
    United States
    Description

    A study conducted in the United States in March 2020 revealed that ** percent of Disney Plus users who were practising social distancing had increased their usage of the service in the last month as a result of the coronavirus, as well as ** percent of Netflix and Hulu users who said that their consumption had also gone up in that time period. Many sources predicted that video streaming consumption would grow during the coronavirus outbreak as consumers turned to entertainment they could enjoy whilst at home, and thus far it seems that these predictions were correct. TV viewing has also increased, with local newscasts and daytime children's TV seeing an uptick in audience numbers between February and March 2020.

  3. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +2more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  4. m

    Viral respiratory illness reporting

    • mass.gov
    Updated Oct 21, 2022
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    Executive Office of Health and Human Services (2022). Viral respiratory illness reporting [Dataset]. https://www.mass.gov/info-details/viral-respiratory-illness-reporting
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    Dataset updated
    Oct 21, 2022
    Dataset provided by
    Department of Public Health
    Executive Office of Health and Human Services
    Area covered
    Massachusetts
    Description

    The following dashboards provide data on contagious respiratory viruses, including acute respiratory diseases, COVID-19, influenza (flu), and respiratory syncytial virus (RSV) in Massachusetts. The data presented here can help track trends in respiratory disease and vaccination activity across Massachusetts.

  5. D

    Coronavirus Deep Clean Service Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Coronavirus Deep Clean Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/coronavirus-deep-clean-service-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Coronavirus Deep Clean Service Market Outlook



    The global coronavirus deep clean service market size was valued at approximately USD 6.5 billion in 2023 and is forecasted to reach USD 12.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.1% during the forecast period. The market size is driven by increasing awareness about hygiene and the necessity of maintaining sanitized environments to prevent further outbreaks of COVID-19 and other contagious diseases. The heightened focus on cleanliness has spurred demand across various sectors, including residential, commercial, and industrial spaces.



    One of the key growth factors for this market is the ongoing concern about public health and safety. The COVID-19 pandemic has fundamentally altered the perception of cleanliness, making deep cleaning services a necessity rather than a luxury. Organizations and individuals are increasingly willing to invest in professional deep cleaning services to ensure environments are free from pathogens. Furthermore, with the rise of hybrid work models, companies are prioritizing the sanitization of their premises to protect both in-office and remote-working employees, thereby boosting market demand.



    Another significant driver is the stringent regulations imposed by health authorities globally. Governments and public health organizations have set rigorous standards for sanitization to curb the spread of the virus. Compliance with these regulations has become mandatory for various sectors, including healthcare, corporate offices, and educational institutions. This regulatory pressure has led to an uptick in demand for specialized deep cleaning services that meet these high standards, further propelling market growth.



    Technological advancements in cleaning methods and materials are also contributing to market expansion. Innovations such as electrostatic spraying, UV-C light disinfection, and the use of EPA-approved disinfectants are making deep cleaning more effective and efficient. These technologies are particularly beneficial in healthcare facilities and other high-risk environments where traditional cleaning methods may not be sufficient. These advancements not only enhance the efficacy of cleaning services but also appeal to clients seeking the highest levels of sanitation.



    From a regional perspective, North America continues to lead the market, driven by a high level of awareness and stringent health regulations. However, the Asia Pacific region is expected to witness the fastest growth, attributed to increasing urbanization and rising public health awareness. Europe and Latin America are also significant markets, with steady growth projected over the forecast period. The Middle East & Africa, although smaller in market size, are showing promising potential due to increasing investments in healthcare infrastructure.



    Service Type Analysis



    The coronavirus deep clean service market is segmented into residential, commercial, and industrial services. The residential segment has seen a substantial uptick as homeowners strive to maintain a safe living environment. This sector benefits from growing consumer awareness about the importance of regular disinfection, especially in households with elderly or immunocompromised members. The demand for residential deep cleaning services is expected to continue its upward trajectory as people prioritize health and well-being in their personal spaces.



    Commercial services encompass cleaning for a variety of business premises, including office buildings, retail stores, and hospitality establishments. The commercial segment is experiencing robust growth due to the need for businesses to comply with stringent hygiene standards. Office buildings, in particular, require regular deep cleaning to ensure a safe working environment, thereby reducing the risk of disease transmission among employees. Retail spaces and hospitality sectors are also major contributors to this segment, driven by the need to reassure customers about safety and cleanliness.



    Industrial deep cleaning services cater to manufacturing units, warehouses, and other industrial facilities. This segment is characterized by the need for specialized cleaning techniques to handle large spaces and machinery. Industrial facilities often have high foot traffic and shared equipment, necessitating regular deep cleaning to prevent outbreaks. The industrial segment is gaining traction as businesses recognize the importance of maintaining a sanitized environment to ensure uninterrupted operations and worker safety.


    <br /

  6. f

    Data_Sheet_1_Food insecurity and the role of food assistance programs in...

    • figshare.com
    docx
    Updated Jun 4, 2023
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    Matthew M. Lee; Mary Kathryn Poole; Rachel M. Zack; Lauren Fiechtner; Eric B. Rimm; Erica L. Kenney (2023). Data_Sheet_1_Food insecurity and the role of food assistance programs in supporting diet quality during the COVID-19 pandemic in Massachusetts.docx [Dataset]. http://doi.org/10.3389/fnut.2022.1007177.s001
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Matthew M. Lee; Mary Kathryn Poole; Rachel M. Zack; Lauren Fiechtner; Eric B. Rimm; Erica L. Kenney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Massachusetts
    Description

    BackgroundEconomic and supply chain shocks resulting from the COVID-19 pandemic in 2020 led to substantial increases in the numbers of individuals experiencing food-related hardship in the US, with programs aimed at addressing food insecurity like the Supplemental Nutrition Assistance Program (SNAP) and food pantries seeing significant upticks in utilization. While these programs have improved food access overall, the extent to which diet quality changed, and whether they helped mitigate diet quality disruptions, is not well understood.ObjectiveTo evaluate food insecurity, food pantry and/or SNAP participation associations with both diet quality as well as perceived disruptions in diet during the COVID-19 pandemic among Massachusetts adults with lower incomes.MethodsWe analyzed complete-case data from 1,256 individuals with complete data from a cross-sectional online survey of adults (ages 18 years and above) living in Massachusetts who responded to “The MA Statewide Food Access Survey” between October 2020 through January 2021. Study recruitment and survey administration were performed by The Greater Boston Food Bank. We excluded respondents who reported participation in assistance programs but were ineligible (n = 168), those who provided straightlined responses to the food frequency questionnaire component of the survey (n = 34), those with incomes above 300% of the federal poverty level (n = 1,427), those who completed the survey in 2021 (n = 8), and those who reported improved food insecurity (n = 55). Current dietary intake was assessed via food frequency questionnaire. Using Bayesian regression models, we examined associations between pandemic food insecurity, perceived disruption in diet, diet quality, and intakes of individual foods among those who completed a survey in 2020. We assessed interactions by pantry and SNAP participation to determine whether participation moderated these relationships.ResultsIndividuals experiencing food insecurity reported greater disruption in diet during the pandemic and reduced consumption of healthy/unhealthy foods. Pantry participation attenuated significant associations between food insecurity and lower consumption of unhealthy (b = −1.13 [95% CI −1.97 to −0.31]) and healthy foods (b = −1.07 [−1.82 to −0.34]) to null (unhealthy foods: −0.70 [−2.24 to 0.84]; healthy foods: 0.30 [−1.17 to 1.74]), whereas SNAP participation attenuated associations for healthy foods alone (from −1.07 [−1.82 to −0.34] to −0.75 [−1.83 to 0.32]). Results were robust to choice of prior as well as to alternative modeling specifications.ConclusionAmong adults with lower incomes, those experiencing food insecurity consumed less food, regardless of healthfulness, compared to individuals not experiencing food insecurity. Participation in safety-net programs, including SNAP and pantry participation, buffered this phenomenon. Continued support of SNAP and the food bank network and a focus on access to affordable healthy foods may simultaneously alleviate hunger while improving nutrition security.

  7. f

    Data_Sheet_1_Risk Diagrams Based on Primary Care Electronic Medical Records...

    • frontiersin.figshare.com
    • figshare.com
    pdf
    Updated May 30, 2023
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    Marti Catala; Ermengol Coma; Sergio Alonso; Enrique Álvarez-Lacalle; Silvia Cordomi; Daniel López; Francesc Fina; Manuel Medina-Peralta; Clara Prats; Daniel Prieto-Alhambra (2023). Data_Sheet_1_Risk Diagrams Based on Primary Care Electronic Medical Records and Linked Real-Time PCR Data to Monitor Local COVID-19 Outbreaks During the Summer 2020: A Prospective Study Including 7,671,862 People in Catalonia.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.693956.s001
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Marti Catala; Ermengol Coma; Sergio Alonso; Enrique Álvarez-Lacalle; Silvia Cordomi; Daniel López; Francesc Fina; Manuel Medina-Peralta; Clara Prats; Daniel Prieto-Alhambra
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Catalonia
    Description

    Monitoring transmission is a prerequisite for containing COVID-19. We report on effective potential growth (EPG) as a novel measure for the early identification of local outbreaks based on primary care electronic medical records (EMR) and PCR-confirmed cases. Secondly, we studied whether increasing EPG precedes local hospital and intensive care (ICU) admissions and mortality. Population-based cohort including all Catalan citizens' PCR tests, hospitalization, intensive care (ICU) and mortality between 1/07/2020 and 13/09/2020; linked EMR covering 88.6% of the Catalan population was obtained. Nursing home residents were excluded. COVID-19 counts were ascertained based on EMR and PCRs separately. Weekly empirical propagation (ρ7) and 14-day cumulative incidence (A14) and 95% confidence intervals were estimated at care management area (CMA) level, and combined as EPG = ρ7 × A14. Overall, 7,607,201 and 6,798,994 people in 43 CMAs were included for PCR and EMR measures, respectively. A14, ρ7, and EPG increased in numerous CMAs during summer 2020. EMR identified 2.70-fold more cases than PCRs, with similar trends, a median (interquartile range) 2 (1) days earlier, and better precision. Upticks in EPG preceded increases in local hospital admissions, ICU occupancy, and mortality. Increasing EPG identified localized outbreaks in Catalonia, and preceded local hospital and ICU admissions and subsequent mortality. EMRs provided similar estimates to PCR, but some days earlier and with better precision. EPG is a useful tool for the monitoring of community transmission and for the early identification of COVID-19 local outbreaks.

  8. Heavy radio listeners consumption during coronavirus U.S. 2020

    • statista.com
    Updated Mar 13, 2020
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    Statista (2020). Heavy radio listeners consumption during coronavirus U.S. 2020 [Dataset]. https://www.statista.com/statistics/1105803/radio-listening-coronavirus-us/
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    Dataset updated
    Mar 13, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 13, 2020 - Mar 15, 2020
    Area covered
    United States
    Description

    According to the source, ** percent of heavy radio listeners in the United States will be listening to more radio as a result of the coronavirus outbreak, and ** percent said that they would continue to listen to the same amount. Whilst all industries will be impacted by COVID-19, some will be less affected or even see an uptick in consumption as consumers who are self-isolating at home turn to their favorite media outlets to keep up to date with coronavirus news and to stay entertained. Whilst the sample size for this particular survey was small, the results indicate that radio listenership among those who already listen to the radio on a regular basis will either remain the same or increase during the outbreak.

  9. U.S. broadcast TV: coronavirus viewership impact 2020, by genre

    • statista.com
    Updated Mar 26, 2020
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    Statista (2020). U.S. broadcast TV: coronavirus viewership impact 2020, by genre [Dataset]. https://www.statista.com/statistics/1106875/broadcast-tv-viewership-coronavirus-by-genre-us/
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    Dataset updated
    Mar 26, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 3, 2020 - Mar 9, 2020
    Area covered
    United States
    Description

    Between the weeks of February 3 and March 9, 2020, the share of total gross quarter hours viewed across major broadcast television channels increased from **** to **** percent when it came to local news broadcasts, reflecting the demand for news and updates about the coronavirus outbreak. Most other program genres also saw an uptick in viewership as citizens were advised to stay at home in a bid to prevent the spread of the disease, and with events canceled and entertainment venues closed, watching television is one of the most natural ways to spend that extra time indoors. However, during the given time period adults did not have an appetite for feature films, instead turning to drama, variety, and comedy programming.

  10. Online transaction and traffic rates after Covid-19 outbreak in France in...

    • statista.com
    Updated Jun 15, 2020
    + more versions
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    Statista (2020). Online transaction and traffic rates after Covid-19 outbreak in France in April 2020 [Dataset]. https://www.statista.com/statistics/1104108/online-shopping-change-in-transaction-rate-traffic-corona-virus-france/
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    Dataset updated
    Jun 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 20, 2020 - Apr 26, 2020
    Area covered
    France
    Description

    The statistic shows the activity of online commerce after the outbreak of the coronavirus (Covid-19) in France in April 2020, in terms of transaction and traffic rate development. The tourism industry showed a fall of about ** percent in transactions and around ** percent in website traffic rate between April 20 and **, 2020. Retail healthcare had increased their traffic by ** percent and decreased their transaction rate by around ** percent.

  11. COVID-19: impact on weekly unit sales growth of UK gaming VR market 2020

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). COVID-19: impact on weekly unit sales growth of UK gaming VR market 2020 [Dataset]. https://www.statista.com/statistics/1123621/uk-gaming-vr-market-sales-growth-2020/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 16, 2020 - Mar 21, 2020
    Area covered
    United Kingdom
    Description

    In week ** of 2020 (15.03-21.03), the gaming virtual reality (VR) market in the United Kingdom had experienced ** percent year-on-year (YoY) unit growth as compared to the same week in 2019 (17.03-23.03). Week ** of 2020 saw the gaming VR market in the UK grow by *** percent when compared to week **, followed by ** percent unit growth in week **. As the source suggests, significant growth has been observed within the PC head-mounted display (HMD) market.

    More game time from staying at home   

    In line with the increases in VR gaming in the United Kingdom, consumers also reported increases in their consumption of gaming consoles and smart TV/media streaming services as a result of more time at home due to the coronavirus outbreak. On a global scale, total increases in the sales of video games is estimated to have increased by ** percent, suggesting that many people have turned to video gaming to keep them entertained through the crisis.

    Slow growth in global AR/VR shipments  

    Despite the increases in worldwide video gaming consumption, shipments of augmented reality (AR) and VR headsets are forecast to experience a year-over-year decline of **** percent in the first quarter of 2020, followed by a further decline in the second quarter. In line with this, the global wearables market is expected to grow by roughly **** percent in 2020, compared to the almost ** percent growth rate achieved in the previous year.

  12. Change in digital health services usage during the COVID-19 lockdown in...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Change in digital health services usage during the COVID-19 lockdown in Kenya 2020 [Dataset]. https://www.statista.com/statistics/1284666/change-in-digital-health-services-usage-during-covid-19-lockdown-in-kenya/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2020 - Dec 2020
    Area covered
    Kenya
    Description

    According to the survey, ** percent of the surveyed population in Kenya increased their usage of digital health services during the coronavirus (COVID-19) lockdown between March and August 2020. Some **** percent of the respondents started using digital health in the same period. Overall, the use of digital health services in Kenya remained low compared to other digital services.

  13. Vacancy rate of office real estate in Brussels, Belgium 2013-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Vacancy rate of office real estate in Brussels, Belgium 2013-2024 [Dataset]. https://www.statista.com/statistics/529708/office-real-estate-vacany-rate-brussels-belgium-europe/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Belgium
    Description

    The vacancy rate for office real estate in Brussels, Belgium, generally declined since 2013, despite a slight uptick due to the COVID-19 pandemic. In 2024, approximately *** percent of prime offices were vacant, an increase of almost one point compared to 2023, which was the lowest vacancy rate on record.

  14. Death rate in Russia 1950-2023

    • statista.com
    Updated Feb 28, 2025
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    Statista (2025). Death rate in Russia 1950-2023 [Dataset]. https://www.statista.com/statistics/1089615/russia-death-rate/
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    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    In 2023, the mortality rate in Russia amounted to 12.1 deaths per 1,000 population, marking a decrease compared to two years prior when it peaked at 16.7 deaths per 1,000 inhabitants as a result of the coronavirus (COVID-19) pandemic. The death rate in the country was historically higher among the rural population.

  15. Monthly number of downloads of Google Classroom in the UK 2015-2022

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Monthly number of downloads of Google Classroom in the UK 2015-2022 [Dataset]. https://www.statista.com/statistics/1266735/uk-google-classroom-downloads/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Dec 2022
    Area covered
    United Kingdom
    Description

    In January 2021, the Google Classroom application was downloaded more ******* times in the United Kingdom, which was a peak for downloads of this app during the provided time period. The closure of UK schools due to the Coronavirus pandemic at this time resulted in teachers and students having to learn remotely, and explains the sharp upticks in downloads seen in January 2021 and March 2020.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Executive Office of Health and Human Services (2023). COVID-19 reporting [Dataset]. https://www.mass.gov/info-details/covid-19-reporting

COVID-19 reporting

Explore at:
Dataset updated
Dec 4, 2023
Dataset provided by
Department of Public Health
Executive Office of Health and Human Services
Area covered
Massachusetts
Description

The COVID-19 dashboard includes data on city/town COVID-19 activity, confirmed and probable cases of COVID-19, confirmed and probable deaths related to COVID-19, and the demographic characteristics of cases and deaths.

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