7 datasets found
  1. m

    COVID-19 reporting

    • mass.gov
    Updated Mar 4, 2020
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    Executive Office of Health and Human Services (2020). COVID-19 reporting [Dataset]. https://www.mass.gov/info-details/covid-19-reporting
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    Dataset updated
    Mar 4, 2020
    Dataset provided by
    Executive Office of Health and Human Services
    Department of Public Health
    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. H

    Impacts of Testing, Vaccination, and Immunity on COVID-19 Cases in...

    • dataverse.harvard.edu
    Updated Jul 22, 2024
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    Zeynep Ertem (2024). Impacts of Testing, Vaccination, and Immunity on COVID-19 Cases in Massachusetts Elementary and Secondary Students: A Retrospective, State-Wide Cohort Study [Dataset]. http://doi.org/10.7910/DVN/HBK8Q8
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 22, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Zeynep Ertem
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Massachusetts
    Description

    Test-to-stay modified quarantine programs implemented in elementary and secondary schools increased participation in in-person learning during the Covid-19 pandemic . Little is known about the impact of other types of testing programs, such as surveillance testing, or immunity and vaccination, on cases of COVID-19 in elementary and secondary school settings. This retrospective cohort study, which was conducted in the state of Massachusetts during the 2021- 22 academic year, found that high vaccination uptake and community immunity acquired via prior infection mitigated COVID-19 cases in elementary and secondary schools. Testing strategies, including surveillance testing programs and test-to-stay modified quarantine programs, for supporting in-person learning were safe and effective but feasibility challenges are important considerations. These data can be used to inform policy about in-school mitigation measures during future respiratory virus pandemics.

  3. m

    Viral respiratory illness reporting

    • mass.gov
    Updated Dec 3, 2025
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    Executive Office of Health and Human Services (2025). Viral respiratory illness reporting [Dataset]. https://www.mass.gov/info-details/viral-respiratory-illness-reporting
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    Dataset updated
    Dec 3, 2025
    Dataset provided by
    Executive Office of Health and Human Services
    Department of Public Health
    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.

  4. Table_1_Mass Media Use to Learn About COVID-19 and the Non-intention to Be...

    • frontiersin.figshare.com
    docx
    Updated Jun 13, 2023
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    Guido Bendezu-Quispe; Jerry K. Benites-Meza; Diego Urrunaga-Pastor; Percy Herrera-Añazco; Angela Uyen-Cateriano; Alfonso J. Rodriguez-Morales; Carlos J. Toro-Huamanchumo; Adrian V. Hernandez; Vicente A. Benites-Zapata (2023). Table_1_Mass Media Use to Learn About COVID-19 and the Non-intention to Be Vaccinated Against COVID-19 in Latin America and Caribbean Countries.DOCX [Dataset]. http://doi.org/10.3389/fmed.2022.877764.s001
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    docxAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Guido Bendezu-Quispe; Jerry K. Benites-Meza; Diego Urrunaga-Pastor; Percy Herrera-Añazco; Angela Uyen-Cateriano; Alfonso J. Rodriguez-Morales; Carlos J. Toro-Huamanchumo; Adrian V. Hernandez; Vicente A. Benites-Zapata
    License

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

    Area covered
    Latin America
    Description

    BackgroundThe Latin American and Caribbean (LAC) region has been one of the regions most affected by the COVID-19 pandemic, with countries presenting some of the highest numbers of cases and deaths from this disease in the world. Despite this, vaccination intention is not homogeneous in the region, and no study has evaluated the influence of the mass media on vaccination intention. The objective of this study was to evaluate the association between the use of mass media to learn about COVID-19 and the non-intention of vaccination against COVID-19 in LAC countries.MethodsAn analysis of secondary data from a Massachusetts Institute of Technology (MIT) survey was conducted in collaboration with Facebook on people's beliefs, behaviors, and norms regarding COVID-19. Crude and adjusted prevalence ratios (aPR) with their respective 95% confidence intervals (95%CI) were calculated to evaluate the association between the use of mass media and non-vaccination intention using generalized linear models of the Poisson family with logarithmic link.ResultsA total of 350,322 Facebook users over the age of 18 from LAC countries were included. 50.0% were men, 28.4% were between 18 and 30 years old, 41.4% had a high school education level, 86.1% lived in the city and 34.4% reported good health condition. The prevalence of using the mass media to learn about COVID-19 was mostly through mixed media (65.8%). The non-intention of vaccination was 10.8%. A higher prevalence of not intending to be vaccinated against COVID-19 was found in those who used traditional media (aPR = 1.36; 95%CI: 1.29–1.44; p < 0.001) and digital media (aPR = 1.70; 95%CI: 1.24–2.33; p = 0.003) compared to those using mixed media.ConclusionWe found an association between the type of mass media used to learn about COVID-19 and the non-intention of vaccination. The use of only traditional or digital information sources were associated with a higher probability of non-intention to vaccinate compared to the use of both sources.

  5. Prices and sales forecasts for major COVID-19 vaccines 2021-2023

    • statista.com
    Updated Mar 16, 2021
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    Statista (2021). Prices and sales forecasts for major COVID-19 vaccines 2021-2023 [Dataset]. https://www.statista.com/statistics/1221576/covid-vaccines-sales-forecast-mean-price-share-growth/
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    Dataset updated
    Mar 16, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    According to a forecast as of March, BioNTech's and Pfizer's vaccine against COVID-19 could generate sales revenues of nearly 22 billion U.S. dollars during 2021. The BioNTech/Pfizer vaccine was the first COVID-19 vaccine to be widely approved and used. German biotech company BioNTech saw a 156 percent growth in its shares in the last 12 months as of March 2021.

    Will Moderna be the big winner? Moderna is expected to be the company with the largest sales revenues from a COVID-19 vaccine. Forecasts predict that the company will make around 43 billion U.S. dollars in sales through its vaccine. Interestingly, Moderna was established in 2010 and had never made profit before the pandemic. Thus, the development of the covid vaccine based on the latest mRNA technology will mark a definitive breakthrough for the Massachusetts-based biotech company. Moderna received significant funding through taxpayer money as well as help in research and development from the National Institutes of Health.

    Vaccine pricing in a pandemic Drug pricing is always a big issue and this was also the case with COVID-19 vaccines. While some companies, like AstraZeneca, stated early on that prices for the vaccine will be on a non-profit base at least as long as the pandemic is ongoing, others took a more profit-oriented approach. However, even these companies state that their current prices are low special prices, taking into account urgent public health interests, which normally would be much higher. According to several projections, COVID-19 drugs and vaccines could establish a market worth some 40 billion U.S. dollars annually.

  6. Preliminary 2024-2025 U.S. COVID-19 Burden Estimates

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    csv, xlsx, xml
    Updated Sep 26, 2025
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    Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD). (2025). Preliminary 2024-2025 U.S. COVID-19 Burden Estimates [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Preliminary-2024-2025-U-S-COVID-19-Burden-Estimate/ahrf-yqdt
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset provided by
    National Center for Immunization and Respiratory Diseases
    Authors
    Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD).
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    This dataset represents preliminary estimates of cumulative U.S. COVID-19 disease burden for the 2024-2025 period, including illnesses, outpatient visits, hospitalizations, and deaths. The weekly COVID-19-associated burden estimates are preliminary and based on continuously collected surveillance data from patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The data come from the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET), a surveillance platform that captures data from hospitals that serve about 10% of the U.S. population. Each week CDC estimates a range (i.e., lower estimate and an upper estimate) of COVID-19 -associated burden that have occurred since October 1, 2024.

    Note: Data are preliminary and subject to change as more data become available. Rates for recent COVID-19-associated hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.

    References

    1. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. https://doi.org/10.1371/journal.pone.0118369 
    2. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. https://doi.org/10.1111/irv.12486
    3. Tokars JI, Rolfes MA, Foppa IM, Reed C. An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 
    4. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540.
    5. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm 
    6. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007. https://dx.doi.org/10.3201/eid1512.091413
    7. Devine O, Pham H, Gunnels B, et al. Extrapolating Sentinel Surveillance Information to Estimate National COVID-19 Hospital Admission Rates: A Bayesian Modeling Approach. Influenza and Other Respiratory Viruses. https://onlinelibrary.wiley.com/doi/10.1111/irv.70026. Volume18, Issue10. October 2024.
    8. https://www.cdc.gov/covid/php/covid-net/index.html">COVID-NET | COVID-19 | CDC 
    9. https://www.cdc.gov/covid/hcp/clinical-care/systematic-review-process.html 
    10. https://academic.oup.com/pnasnexus/article/1/3/pgac079/6604394?login=false">Excess natural-cause deaths in California by cause and setting: March 2020 through February 2021 | PNAS Nexus | Oxford Academic (oup.com)
    11. Kruschke, J. K. 2011. Doing Bayesian data analysis: a tutorial with R and BUGS. Elsevier, Amsterdam, Section 3.3.5.

  7. COVID-19, pneumonia, and influenza deaths reported in the U.S. August 21,...

    • statista.com
    Updated Aug 21, 2023
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    Statista (2023). COVID-19, pneumonia, and influenza deaths reported in the U.S. August 21, 2023 [Dataset]. https://www.statista.com/statistics/1113051/number-reported-deaths-from-covid-pneumonia-and-flu-us/
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    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Over 12 million people in the United States died from all causes between the beginning of January 2020 and August 21, 2023. Over 1.1 million of those deaths were with confirmed or presumed COVID-19.

    Vaccine rollout in the United States Finding a safe and effective COVID-19 vaccine was an urgent health priority since the very start of the pandemic. In the United States, the first two vaccines were authorized and recommended for use in December 2020. One has been developed by Massachusetts-based biotech company Moderna, and the number of Moderna COVID-19 vaccines administered in the U.S. was over 250 million. Moderna has also said that its vaccine is effective against the coronavirus variants first identified in the UK and South Africa.

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Executive Office of Health and Human Services (2020). COVID-19 reporting [Dataset]. https://www.mass.gov/info-details/covid-19-reporting

COVID-19 reporting

Explore at:
Dataset updated
Mar 4, 2020
Dataset provided by
Executive Office of Health and Human Services
Department of Public Health
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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