31 datasets found
  1. Total cases of COVID-19 infections Singapore 2020-2022

    • statista.com
    Updated May 29, 2024
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    Statista (2024). Total cases of COVID-19 infections Singapore 2020-2022 [Dataset]. https://www.statista.com/statistics/1098985/singapore-covid-19-total-cases/
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 23, 2020 - Apr 7, 2022
    Area covered
    Singapore
    Description

    As of April 7, 2022, the total number of COVID-19 cases in Singapore amounted to around 1.1 million. There has been a decrease in daily cases in Singapore this week, though the number is still expected to rise largely due to the highly-contagious Omicron variant.

    Overcoming the COVID-19 pandemic Singapore was one of the few countries worldwide that had managed to successfully control the spread of COVID-19. This was done through imposing a strict lockdown period during the beginning of the pandemic in 2020, introducing and enforcing hygiene and social-distancing rules, and effective contact tracing, among others. The measures in place had the intended impact, as the number of daily recorded cases have decreased to manageable levels. Furthermore, community transmission has been reduced to just several cases a week; the majority of the daily new cases of COVID-19 recorded were from overseas arrivals.

    Recovering from the economic impact of COVID-19 The closure of businesses, compounded by the global restrictions on movement, had had an adverse effect on its economy. Singapore went through its worse recession on record, while the resident unemployment rate increased. However, with restrictions in the country easing, economists have raised their forecasts for economic growth in Singapore for 2021.

    Singapore is currently one out of more than 200 countries and territories battling the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  2. T

    Singapore Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
    + more versions
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    TRADING ECONOMICS (2020). Singapore Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/singapore/coronavirus-cases
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Mar 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    Singapore
    Description

    Singapore recorded 2414394 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Singapore reported 1722 Coronavirus Deaths. This dataset includes a chart with historical data for Singapore Coronavirus Cases.

  3. New cases per day of COVID-19 Singapore 2021-2022

    • statista.com
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    Statista, New cases per day of COVID-19 Singapore 2021-2022 [Dataset]. https://www.statista.com/statistics/1098959/singapore-new-cases-of-covid-19/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 4, 2021 - Nov 4, 2022
    Area covered
    Singapore
    Description

    On November 4, 2022, Singapore recorded 3,128 new confirmed cases of COVID-19. Although the number of daily cases is started to decline, Singapore is still expecting a rise in cases caused by the highly-contagious Omicron variant.

    Singapore is currently one out of more than 200 countries and territories battling the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  4. Breakdown of COVID-19 hospitalization cases Singapore 2022

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Breakdown of COVID-19 hospitalization cases Singapore 2022 [Dataset]. https://www.statista.com/statistics/1103601/singapore-coronavirus-active-cases-breakdown/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 7, 2022
    Area covered
    Singapore
    Description

    As of April 7, 2022, 416 people in Singapore were hospitalized due to COVID-19. Out of these, 44 cases required oxygen supplementation, while 15 in the ICU. To date, 1,290 deaths have so far been attributed to COVID-19.

    State of the coronavirus (COVID-19) pandemic in Singapore As of February 2, 2022, Singapore had registered more than 362 thousand confirmed cases of COVID-19. Despite having an 88 percent COVID-19 vaccination rate, the country has been going through a surge in COVID-19 infections now caused by the highly-contagious Omicron variant. This has led to delays in its plans to reopen the country for a 'return to normal'.

    Gradual return to normalcy? Due to the current increase in COVID-19 infections, Singapore has pushed back plans to remove the restrictions imposed to control the pandemic, with the Prime Minister estimating that it would be another three to six months before the 'new normal' could begin. This was to prevent the healthcare system from being overstressed. While vaccination rates remain high, hospitalization rates have increased, with the majority of those hospitalized being unvaccinated.

    Singapore is currently one out of more than 200 countries and territories battling the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  5. y

    Singapore Coronavirus Cases Per Day

    • ycharts.com
    html
    Updated Nov 10, 2025
    + more versions
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    Johns Hopkins Center for Systems Science and Engineering (2025). Singapore Coronavirus Cases Per Day [Dataset]. https://ycharts.com/indicators/singapore_coronavirus_cases_per_day
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    htmlAvailable download formats
    Dataset updated
    Nov 10, 2025
    Dataset provided by
    YCharts
    Authors
    Johns Hopkins Center for Systems Science and Engineering
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 23, 2020 - Mar 9, 2023
    Area covered
    Singapore
    Variables measured
    Singapore Coronavirus Cases Per Day
    Description

    View daily updates and historical trends for Singapore Coronavirus Cases Per Day. Source: Johns Hopkins Center for Systems Science and Engineering. Track …

  6. S

    Singapore New Covid cases per million people, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 15, 2023
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    Globalen LLC (2023). Singapore New Covid cases per million people, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Singapore/covid_new_cases_per_million/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Feb 29, 2020 - Mar 31, 2023
    Area covered
    Singapore
    Description

    New Covid cases per million people in Singapore, March, 2023 The most recent value is 7044 new Covid cases per million people as of March 2023, an increase compared to the previous value of 2388 new Covid cases per million people. Historically, the average for Singapore from February 2020 to March 2023 is 10598 new Covid cases per million people. The minimum of 15 new Covid cases per million people was recorded in February 2020, while the maximum of 67401 new Covid cases per million people was reached in March 2022. | TheGlobalEconomy.com

  7. d

    Covid-19 Daily Figures

    • data.gov.sg
    Updated Jun 6, 2024
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    Ministry of Health (2024). Covid-19 Daily Figures [Dataset]. https://data.gov.sg/datasets/d_37c77bafba57a15da0da74326d6cc077/view
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    Dataset updated
    Jun 6, 2024
    Dataset authored and provided by
    Ministry of Health
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 2020 - Feb 2020
    Description

    Dataset from Ministry of Health. For more information, visit https://data.gov.sg/datasets/d_37c77bafba57a15da0da74326d6cc077/view

  8. Singapore's COVID-19 cases

    • kaggle.com
    zip
    Updated Apr 15, 2020
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    Hoon Beng (2020). Singapore's COVID-19 cases [Dataset]. https://www.kaggle.com/rhodiumbeng/singapores-covid19-cases
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    zip(27864 bytes)Available download formats
    Dataset updated
    Apr 15, 2020
    Authors
    Hoon Beng
    Area covered
    Singapore
    Description

    Context

    Since the beginning of the Covid-19 outbreak, Singapore's MOH has been providing daily press releases to update citizens on the confirmed cases, their background and so on.

    Content

    Each row represents a confirmed case, with attributes like gender, age, case-related information which I extracted from the MOH's daily press releases.

    Acknowledgements

    MOH's Press Releases. https://www.moh.gov.sg/news-highlights

    Inspiration

    To see the trends in Covid-19 spread in Singapore.

  9. r

    covid19_jhu_csse_summary

    • redivis.com
    Updated Oct 8, 2025
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    Stanford Center for Population Health Sciences (2025). covid19_jhu_csse_summary [Dataset]. https://redivis.com/datasets/rxta-4v35cgyzf
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    Dataset updated
    Oct 8, 2025
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 22, 2020 - Jul 12, 2020
    Description

    The table covid19_jhu_csse_summary is part of the dataset Coronavirus COVID-19 Global Cases, available at https://stanford.redivis.com/datasets/rxta-4v35cgyzf. It contains 390476 rows across 13 variables.

  10. COVID_19_CSSEGISandData

    • kaggle.com
    zip
    Updated Mar 15, 2022
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    Nuzul Muhammad Ramadhan (2022). COVID_19_CSSEGISandData [Dataset]. https://www.kaggle.com/datasets/newzoel/covid-19-cssegisanddata
    Explore at:
    zip(301140837 bytes)Available download formats
    Dataset updated
    Mar 15, 2022
    Authors
    Nuzul Muhammad Ramadhan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).

    Data Source

    Terms of Use

    This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

  11. Projected time to peak infection, duration of infection, cumulative...

    • figshare.com
    xls
    Updated Jun 11, 2023
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    John P. Ansah; David Bruce Matchar; Sean Lam Shao Wei; Jenny G. Low; Ahmad Reza Pourghaderi; Fahad Javaid Siddiqui; Tessa Lui Shi Min; Aloysius Chia Wei-Yan; Marcus Eng Hock Ong (2023). Projected time to peak infection, duration of infection, cumulative infection, proportion infected and total deaths. [Dataset]. http://doi.org/10.1371/journal.pone.0248742.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    John P. Ansah; David Bruce Matchar; Sean Lam Shao Wei; Jenny G. Low; Ahmad Reza Pourghaderi; Fahad Javaid Siddiqui; Tessa Lui Shi Min; Aloysius Chia Wei-Yan; Marcus Eng Hock Ong
    License

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

    Description

    Projected time to peak infection, duration of infection, cumulative infection, proportion infected and total deaths.

  12. M

    Project Tycho Dataset; Counts of COVID-19 Reported In SINGAPORE: 2019-2021

    • catalog.midasnetwork.us
    • data.niaid.nih.gov
    • +1more
    + more versions
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    MIDAS Coordination Center, Project Tycho Dataset; Counts of COVID-19 Reported In SINGAPORE: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/SG.840539006
    Explore at:
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, viral respiratory tract infection, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in SINGAPORE: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

  13. Daily number of patients recovered from novel coronavirus infection...

    • statista.com
    Updated Mar 31, 2021
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    Statista (2021). Daily number of patients recovered from novel coronavirus infection Singapore 2020 [Dataset]. https://www.statista.com/statistics/1101490/singapore-number-of-patients-recovered-from-covid-19/
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    Dataset updated
    Mar 31, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 4, 2020 - Jun 25, 2020
    Area covered
    Singapore
    Description

    On June 25, 2020, 305 patients with COVID-19 were discharged from Singapore hospitals and self-isolation facilities. As of that date, around 42.7 thousand people had been infected with the novel coronavirus in Singapore, and around 36.6 thousand people have recovered. The country has since introduced a stimulus package worth 48 billion Singapore dollars to help the Singapore economy, which had been badly hit by the pandemic.

    Singapore is currently one out of more than 200 countries and territories battling the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  14. o

    COVID-19 Pandemic - Worldwide

    • australiademo.opendatasoft.com
    • opendata.bruxelles.be
    • +1more
    csv, excel, geojson +1
    Updated Mar 27, 2020
    + more versions
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    (2020). COVID-19 Pandemic - Worldwide [Dataset]. https://australiademo.opendatasoft.com/explore/dataset/coronavirus-covid-19-pandemic-worldwide-data/api/
    Explore at:
    geojson, json, csv, excelAvailable download formats
    Dataset updated
    Mar 27, 2020
    License

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

    Description

    This is the data for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).Data SourcesWorld Health Organization (WHO): https://www.who.int/ DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia. BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/ National Health Commission of the People’s Republic of China (NHC): http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html Macau Government: https://www.ssm.gov.mo/portal/ Taiwan CDC: https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0 US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html Government of Canada: https://www.canada.ca/en/public-health/services/diseases/coronavirus.html Australia Government Department of Health: https://www.health.gov.au/news/coronavirus-update-at-a-glance European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-casesMinistry of Health Singapore (MOH): https://www.moh.gov.sg/covid-19Italy Ministry of Health: http://www.salute.gov.it/nuovocoronavirus

  15. f

    Data_Sheet_3_Cost benefit analysis of alternative testing and quarantine...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Feb 23, 2023
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    Huynh, Vinh Anh; Lou, Jing; Lim, Nigel Wei-Han; Wee, Hwee-Lin; Cai, Celestine Grace XueTing; Dickens, Borame Sue Lee (2023). Data_Sheet_3_Cost benefit analysis of alternative testing and quarantine policies for travelers for infection control: A case study of Singapore during the COVID-19 pandemic.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000959806
    Explore at:
    Dataset updated
    Feb 23, 2023
    Authors
    Huynh, Vinh Anh; Lou, Jing; Lim, Nigel Wei-Han; Wee, Hwee-Lin; Cai, Celestine Grace XueTing; Dickens, Borame Sue Lee
    Description

    BackgroundBorder control mitigates local infections but bears a heavy economic cost, especially for tourism-reliant countries. While studies have supported the efficacy of border control in suppressing cross-border transmission, the trade-off between costs from imported and secondary cases and from lost economic activities has not been studied. This case study of Singapore during the COVID-19 pandemic aims to understand the impacts of varying quarantine length and testing strategies on the economy and health system. Additionally, we explored the impact of permitting unvaccinated travelers to address emerging equity concerns. We assumed that community transmission is stable and vaccination rates are high enough that inbound travelers are not dissuaded from traveling.MethodsThe number of travelers was predicted considering that longer quarantine reduces willingness to travel. A micro-simulation model predicted the number of COVID-19 cases among travelers, the resultant secondary cases, and the probability of being symptomatic in each group. The incremental net monetary benefit (INB) of Singapore was quantified under each border-opening policy compared to pre-opening status, based on tourism receipts, cost/profit from testing and quarantine, and cost and health loss due to COVID-19 cases.ResultsCompared to polymerase chain reaction (PCR), rapid antigen test (ART) detects fewer imported cases but results in fewer secondary cases. Longer quarantine results in fewer cases but lower INB due to reduced tourism receipts. Assuming the proportion of unvaccinated travelers is small (8% locally and 24% globally), allowing unvaccinated travelers will accrue higher INB without exceeding the intensive care unit (ICU) capacity. The highest monthly INB from all travelers is $2,236.24 m, with 46.69 ICU cases per month, achieved with ARTs at pre-departure and on arrival without quarantine. The optimal policy in terms of highest INB is robust under changes to various model assumptions. Among all cost-benefit components, the top driver for INB is tourism receipts.ConclusionsWith high vaccination rates locally and globally alongside stable community transmission, opening borders to travelers regardless of vaccination status will increase economic growth in the destination country. The caseloads remain manageable without exceeding ICU capacity, and costs of cases are offset by the economic value generated from travelers.

  16. Age breakdown of COVID-19 patients Singapore 2020

    • statista.com
    Updated Mar 25, 2020
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    Statista (2020). Age breakdown of COVID-19 patients Singapore 2020 [Dataset]. https://www.statista.com/statistics/1103549/singapore-age-breakdown-of-covid-19-patients/
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    Dataset updated
    Mar 25, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 25, 2020
    Area covered
    Singapore
    Description

    As of March 25, 2020, the largest age group among Singaporeans confirmed to have COVID-19 were those between 20 to 29 years old, with 141 such cases. These were mostly Singaporeans who had returned from their studies or travels overseas, especially Europe and North America. At the time of writing, Singapore is experiencing a second wave of novel coronavirus infections. This was mostly brought into the country from returning Singapore citizens and residents.

  17. D

    Data from: SuPreMeChiF – a New Approach to Detect Subtle Changes in...

    • researchdata.ntu.edu.sg
    zip
    Updated Jan 6, 2023
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    Yizhou Luo; Yizhou Luo (2023). SuPreMeChiF – a New Approach to Detect Subtle Changes in Continuous Monitoring Data, with a case study of COVID-19 impact in Singapore through seismic and infrasound recordings [Dataset]. http://doi.org/10.21979/N9/1ZRELD
    Explore at:
    zip(994828291)Available download formats
    Dataset updated
    Jan 6, 2023
    Dataset provided by
    DR-NTU (Data)
    Authors
    Yizhou Luo; Yizhou Luo
    License

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

    Area covered
    Singapore
    Dataset funded by
    Ministry of Education (MOE)
    Earth Observatory of Singapore
    National Research Foundation (NRF)
    Description

    This dataset contains infrasound recordings used for analysis for the paper "SuPreMeChiF – a New Approach to Detect Subtle Changes in Continuous Monitoring Data, with a case study of COVID-19 impact in Singapore through seismic and infrasound recordings"

  18. Model inputs (parameters with * were included in the sensitivity analysis...

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
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    John P. Ansah; David Bruce Matchar; Sean Lam Shao Wei; Jenny G. Low; Ahmad Reza Pourghaderi; Fahad Javaid Siddiqui; Tessa Lui Shi Min; Aloysius Chia Wei-Yan; Marcus Eng Hock Ong (2023). Model inputs (parameters with * were included in the sensitivity analysis and varied ±25%). [Dataset]. http://doi.org/10.1371/journal.pone.0248742.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    John P. Ansah; David Bruce Matchar; Sean Lam Shao Wei; Jenny G. Low; Ahmad Reza Pourghaderi; Fahad Javaid Siddiqui; Tessa Lui Shi Min; Aloysius Chia Wei-Yan; Marcus Eng Hock Ong
    License

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

    Description

    Model inputs (parameters with * were included in the sensitivity analysis and varied ±25%).

  19. COVID-19: The First Global Pandemic of the Information Age

    • cameroon.africageoportal.com
    Updated Apr 8, 2020
    + more versions
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    Urban Observatory by Esri (2020). COVID-19: The First Global Pandemic of the Information Age [Dataset]. https://cameroon.africageoportal.com/datasets/UrbanObservatory::covid-19-the-first-global-pandemic-of-the-information-age
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    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.-- Esri COVID-19 Trend Report for 3-9-2023 --0 Countries have Emergent trend with more than 10 days of cases: (name : # of active cases) 41 Countries have Spreading trend with over 21 days in new cases curve tail: (name : # of active cases)Monaco : 13, Andorra : 25, Marshall Islands : 52, Kyrgyzstan : 79, Cuba : 82, Saint Lucia : 127, Cote d'Ivoire : 148, Albania : 155, Bosnia and Herzegovina : 172, Iceland : 196, Mali : 198, Suriname : 246, Botswana : 247, Barbados : 274, Dominican Republic : 304, Malta : 306, Venezuela : 334, Micronesia : 346, Uzbekistan : 356, Afghanistan : 371, Jamaica : 390, Latvia : 402, Mozambique : 406, Kosovo : 412, Azerbaijan : 427, Tunisia : 528, Armenia : 594, Kuwait : 716, Thailand : 746, Norway : 768, Croatia : 847, Honduras : 1002, Zimbabwe : 1067, Saudi Arabia : 1098, Bulgaria : 1148, Zambia : 1166, Panama : 1300, Uruguay : 1483, Kazakhstan : 1671, Paraguay : 2080, Ecuador : 53320 Countries may have Spreading trend with under 21 days in new cases curve tail: (name : # of active cases)61 Countries have Epidemic trend with over 21 days in new cases curve tail: (name : # of active cases)Liechtenstein : 48, San Marino : 111, Mauritius : 742, Estonia : 761, Trinidad and Tobago : 1296, Montenegro : 1486, Luxembourg : 1540, Qatar : 1541, Philippines : 1915, Ireland : 1946, Brunei : 2010, United Arab Emirates : 2013, Denmark : 2111, Sweden : 2149, Finland : 2154, Hungary : 2169, Lebanon : 2208, Bolivia : 2838, Colombia : 3250, Switzerland : 3321, Peru : 3328, Slovakia : 3556, Malaysia : 3608, Indonesia : 3793, Portugal : 4049, Cyprus : 4279, Argentina : 5050, Iran : 5135, Lithuania : 5323, Guatemala : 5516, Slovenia : 5689, South Africa : 6604, Georgia : 7938, Moldova : 8082, Israel : 8746, Bahrain : 8932, Netherlands : 9710, Romania : 12375, Costa Rica : 12625, Singapore : 13816, Serbia : 14093, Czechia : 14897, Spain : 17399, Ukraine : 19568, Canada : 24913, New Zealand : 25136, Belgium : 30599, Poland : 38894, Chile : 41055, Australia : 50192, Mexico : 65453, United Kingdom : 65697, France : 68318, Italy : 70391, Austria : 90483, Brazil : 134279, Korea - South : 209145, Russia : 214935, Germany : 257248, Japan : 361884, US : 6440500 Countries may have Epidemic trend with under 21 days in new cases curve tail: (name : # of active cases) 54 Countries have Controlled trend: (name : # of active cases)Palau : 3, Saint Kitts and Nevis : 4, Guinea-Bissau : 7, Cabo Verde : 8, Mongolia : 8, Benin : 9, Maldives : 10, Comoros : 10, Gambia : 12, Bhutan : 14, Cambodia : 14, Syria : 14, Seychelles : 15, Senegal : 16, Libya : 16, Laos : 17, Sri Lanka : 19, Congo (Brazzaville) : 19, Tonga : 21, Liberia : 24, Chad : 25, Fiji : 26, Nepal : 27, Togo : 30, Nicaragua : 32, Madagascar : 37, Sudan : 38, Papua New Guinea : 38, Belize : 59, Egypt : 60, Algeria : 64, Burma : 65, Ghana : 72, Haiti : 74, Eswatini : 75, Guyana : 79, Rwanda : 83, Uganda : 88, Kenya : 92, Burundi : 94, Angola : 98, Congo (Kinshasa) : 125, Morocco : 125, Bangladesh : 127, Tanzania : 128, Nigeria : 135, Malawi : 148, Ethiopia : 248, Vietnam : 269, Namibia : 422, Cameroon : 462, Pakistan : 660, India : 4290 41 Countries have End Stage trend: (name : # of active cases)Sao Tome and Principe : 1, Saint Vincent and the Grenadines : 2, Somalia : 2, Timor-Leste : 2, Kiribati : 8, Mauritania : 12, Oman : 14, Equatorial Guinea : 20, Guinea : 28, Burkina Faso : 32, North Macedonia : 351, Nauru : 479, Samoa : 554, China : 2897, Taiwan* : 249634 -- SPIKING OF NEW CASE COUNTS --20 countries are currently experiencing spikes in new confirmed cases:Armenia, Barbados, Belgium, Brunei, Chile, Costa Rica, Georgia, India, Indonesia, Ireland, Israel, Kuwait, Luxembourg, Malaysia, Mauritius, Portugal, Sweden, Ukraine, United Kingdom, Uzbekistan 20 countries experienced a spike in new confirmed cases 3 to 5 days ago: Argentina, Bulgaria, Croatia, Czechia, Denmark, Estonia, France, Korea - South, Lithuania, Mozambique, New Zealand, Panama, Poland, Qatar, Romania, Slovakia, Slovenia, Switzerland, Trinidad and Tobago, United Arab Emirates 47 countries experienced a spike in new confirmed cases 5 to 14 days ago: Australia, Austria, Bahrain, Bolivia, Brazil, Canada, Colombia, Congo (Kinshasa), Cyprus, Dominican Republic, Ecuador, Finland, Germany, Guatemala, Honduras, Hungary, Iran, Italy, Jamaica, Japan, Kazakhstan, Lebanon, Malta, Mexico, Micronesia, Moldova, Montenegro, Netherlands, Nigeria, Pakistan, Paraguay, Peru, Philippines, Russia, Saint Lucia, Saudi Arabia, Serbia, Singapore, South Africa, Spain, Suriname, Thailand, Tunisia, US, Uruguay, Zambia, Zimbabwe 194 countries experienced a spike in new confirmed cases over 14 days ago: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burma, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote d'Ivoire, Croatia, Cuba, Cyprus, Czechia, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Korea - South, Kosovo, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Taiwan*, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, US, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, West Bank and Gaza, Yemen, Zambia, Zimbabwe Strongest spike in past two days was in US at 64,861 new cases.Strongest spike in past five days was in US at 64,861 new cases.Strongest spike in outbreak was 424 days ago in US at 1,354,505 new cases. Global Total Confirmed COVID-19 Case Rate of 8620.91 per 100,000Global Active Confirmed COVID-19 Case Rate of 37.24 per 100,000Global COVID-19 Mortality Rate of 87.69 per 100,000 21 countries with over 200 per 100,000 active cases.5 countries with over 500 per 100,000 active cases.3 countries with over 1,000 per 100,000 active cases.1 country with over 2,000 per 100,000 active cases.Nauru is worst at 4,354.54 per 100,000.

  20. Respondents' level of concern COVID-19 situation Singapore 2020

    • statista.com
    Updated Dec 15, 2020
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    Statista (2020). Respondents' level of concern COVID-19 situation Singapore 2020 [Dataset]. https://www.statista.com/statistics/1119860/singapore-level-of-concern-about-covid-19/
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    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 22, 2020
    Area covered
    Singapore
    Description

    A survey conducted by Milieu Insight on May 2020 found that ** percent of respondents in Singapore were very concerned about the COVID-19 situation in Singapore. In response to the growing number of new cases, Singapore announced on April 3 a set of preventive "circuit breaker" measures, to be applied from April 7 to May 4, with an extension to June 1 announced on April 21.

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Statista (2024). Total cases of COVID-19 infections Singapore 2020-2022 [Dataset]. https://www.statista.com/statistics/1098985/singapore-covid-19-total-cases/
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Total cases of COVID-19 infections Singapore 2020-2022

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 29, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 23, 2020 - Apr 7, 2022
Area covered
Singapore
Description

As of April 7, 2022, the total number of COVID-19 cases in Singapore amounted to around 1.1 million. There has been a decrease in daily cases in Singapore this week, though the number is still expected to rise largely due to the highly-contagious Omicron variant.

Overcoming the COVID-19 pandemic Singapore was one of the few countries worldwide that had managed to successfully control the spread of COVID-19. This was done through imposing a strict lockdown period during the beginning of the pandemic in 2020, introducing and enforcing hygiene and social-distancing rules, and effective contact tracing, among others. The measures in place had the intended impact, as the number of daily recorded cases have decreased to manageable levels. Furthermore, community transmission has been reduced to just several cases a week; the majority of the daily new cases of COVID-19 recorded were from overseas arrivals.

Recovering from the economic impact of COVID-19 The closure of businesses, compounded by the global restrictions on movement, had had an adverse effect on its economy. Singapore went through its worse recession on record, while the resident unemployment rate increased. However, with restrictions in the country easing, economists have raised their forecasts for economic growth in Singapore for 2021.

Singapore is currently one out of more than 200 countries and territories battling the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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