33 datasets found
  1. COVID-19 cases in Thailand as of March 2024

    • statista.com
    Updated Mar 19, 2024
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    Statista (2024). COVID-19 cases in Thailand as of March 2024 [Dataset]. https://www.statista.com/statistics/1099913/thailand-number-of-novel-coronavirus-cases/
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    Dataset updated
    Mar 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Thailand
    Description

    As of March 17, 2024, Thailand had approximately 4.76 million confirmed COVID-19 cases. In that same period, there were 34,576 deaths from COVID-19 in the country.

    Impact on the economy in Thailand The Thai economy was heavily impacted during the peak of the pandemic. Various restrictions were imposed in the country, resulting in businesses being temporarily interrupted or even permanently shut down. This resulted in a marked decrease in the gross domestic product (GDP) in 2020. One of the most impacted industries in Thailand was tourism. For months, Thailand had exercised regulations for visitors, such as quarantining, causing the tourism contribution to GDP to drop significantly.

    Impact on the society in Thailand The COVID-19 pandemic also impacted the ways of life of Thai people. Apart from additional concerns for their health, Thai people had to adapt to changes in their daily lives. Some key changes include the increasing popularity of online shopping, cashless payments, online education, and even working from home. In January 2023, a survey conducted on online shopping behavior in Thailand suggested that the majority of Thais have shopped online more. Working from home also became the norm for many employees during the pandemic. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  2. T

    Thailand Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
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    TRADING ECONOMICS (2020). Thailand Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/thailand/coronavirus-cases
    Explore at:
    csv, json, xml, excelAvailable 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
    Thailand
    Description

    Thailand recorded 4736356 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Thailand reported 33989 Coronavirus Deaths. This dataset includes a chart with historical data for Thailand Coronavirus Cases.

  3. o

    Thailand COVID-19 Cases (as of January 3, 2021)

    • data.opendevelopmentmekong.net
    Updated Aug 21, 2020
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    (2020). Thailand COVID-19 Cases (as of January 3, 2021) [Dataset]. https://data.opendevelopmentmekong.net/dataset/thailand-covid-19-cases
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    Dataset updated
    Aug 21, 2020
    Area covered
    Thailand
    Description

    This dataset shows the cases of Coronavirus (COVID-19) in Thailand. The dataset information is usually updated according to the announcements from the Department of Disease Control (https://covid19.ddc.moph.go.th/th), Thai Ministry of Public Health. As of January 3rd, 2021, Thailand has a total of 7,694 confirmed cases, 64 deaths, and 3,293 patients are now hospitalized. However, this dataset is a collection of provincial level reported cases that are regularly updated and may be different by the reporting time and groups of cases testing actively and being treated. Thus requiring the public to understand and verify the data that ODT has published.

  4. i

    Daily report of COVID-19 Confirmed Cases in Thailand

    • ieee-dataport.org
    Updated Sep 12, 2021
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    KHANITA DUANGCHAEMKARN (2021). Daily report of COVID-19 Confirmed Cases in Thailand [Dataset]. https://ieee-dataport.org/documents/daily-report-covid-19-confirmed-cases-thailand
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    Dataset updated
    Sep 12, 2021
    Authors
    KHANITA DUANGCHAEMKARN
    License

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

    Area covered
    Thailand
    Description

    A dataset contains a total of 578

  5. o

    Coronavirus (COVID-19) Cases in Thailand

    • data.opendevelopmentmekong.net
    Updated Dec 8, 2020
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    (2020). Coronavirus (COVID-19) Cases in Thailand [Dataset]. https://data.opendevelopmentmekong.net/dataset/map-coronavirus-covid-19-cases-in-thailand
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    Dataset updated
    Dec 8, 2020
    Area covered
    Thailand
    Description

    This work and any original materials produced and published by Open Development Mekong herein are licensed under a CC BY-SA 4.0. News article summaries are extracted from their sources, as guided by fair-use principles and are copyrighted by their respective sources. Materials on the Open Development Mekong (ODM) website and its accompanying database are compiled from publicly available documentation and provided without fee for general informational purposes only. This is neither a commercial research service nor a domain managed by any governmental or inter-governmental agency; it is managed as a private non-profit open data/open knowledge media group. Information is publicly posted only after a careful vetting and verification process. However, ODM cannot guarantee accuracy, completeness or reliability from third party sources in every instance. ODM makes no representation or warranty, either expressed or implied, in fact or in law, with respect to the accuracy, completeness or appropriateness of the data, materials or documents contained or referenced herein or provided. Site users are encouraged to do additional research in support of their activities and to share the results of that research with our team, contact us to further improve the site accuracy. By accessing this ODM website or database users agree to take full responsibility for reliance on any site information provided and to hold harmless and waive any and all liability against individuals or entities associated with its development, form and content for any loss, harm or damage suffered as a result of its use.

  6. Latest Coronavirus COVID-19 figures for Thailand

    • covid19-today.pages.dev
    json
    Updated Jul 8, 2023
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    Worldometers (2023). Latest Coronavirus COVID-19 figures for Thailand [Dataset]. https://covid19-today.pages.dev/countries/thailand/
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    jsonAvailable download formats
    Dataset updated
    Jul 8, 2023
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Thailand
    Description

    In past 24 hours, Thailand, Asia had N/A new cases, N/A deaths and N/A recoveries.

  7. T

    Thailand 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). Thailand New Covid cases per million people, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Thailand/covid_new_cases_per_million/
    Explore at:
    csv, xml, excelAvailable 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
    Thailand
    Description

    New Covid cases per million people in Thailand, March, 2023 The most recent value is 8 new Covid cases per million people as of March 2023, a decline compared to the previous value of 15 new Covid cases per million people. Historically, the average for Thailand from February 2020 to March 2023 is 1736 new Covid cases per million people. The minimum of 1 new Covid cases per million people was recorded in February 2020, while the maximum of 10271 new Covid cases per million people was reached in March 2022. | TheGlobalEconomy.com

  8. T

    Thailand Total Covid cases, end of month, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
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    Globalen LLC, Thailand Total Covid cases, end of month, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Thailand/covid_total_cases/
    Explore at:
    csv, excel, xmlAvailable download formats
    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
    Thailand
    Description

    Total Covid cases, end of month in Thailand, March, 2023 The most recent value is 4728632 total Covid cases as of March 2023, an increase compared to the previous value of 4728035 total Covid cases. Historically, the average for Thailand from February 2020 to March 2023 is 1964877 total Covid cases. The minimum of 44 total Covid cases was recorded in February 2020, while the maximum of 4728632 total Covid cases was reached in March 2023. | TheGlobalEconomy.com

  9. b

    Thailand COVID-19 Infection Situation Cases (Weekly, 2020–2023)

    • aida.informatics.buu.ac.th
    Updated Jul 27, 2024
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    (2024). Thailand COVID-19 Infection Situation Cases (Weekly, 2020–2023) [Dataset]. https://aida.informatics.buu.ac.th/dataset/the-weekly-covid-19-infection-situation
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    Dataset updated
    Jul 27, 2024
    Area covered
    Thailand
    Description

    COVID-19 has had a significant impact on Thailand, with widespread transmission and periodic outbreaks. The Ministry of Public Health in Thailand has implemented various measures to control the spread of the virus, including testing, contact tracing, and quarantine protocols. Vaccination campaigns have been initiated to enhance immunity and curb the transmission. Public awareness campaigns and compliance with preventive measures, such as wearing masks and practicing physical distancing, have been emphasized. Continued monitoring and collaborative efforts are crucial to mitigate the impact of COVID-19 in Thailand.

  10. g

    Coronavirus COVID-19 Global Cases by the Center for Systems Science and...

    • github.com
    • systems.jhu.edu
    • +1more
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    Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE), Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) [Dataset]. https://github.com/CSSEGISandData/COVID-19
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    Dataset provided by
    Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
    Area covered
    Global
    Description

    2019 Novel Coronavirus COVID-19 (2019-nCoV) Visual Dashboard and Map:
    https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

    • Confirmed Cases by Country/Region/Sovereignty
    • Confirmed Cases by Province/State/Dependency
    • Deaths
    • Recovered

    Downloadable data:
    https://github.com/CSSEGISandData/COVID-19

    Additional Information about the Visual Dashboard:
    https://systems.jhu.edu/research/public-health/ncov

  11. Mistrust factors of local travel during COVID-19 Thailand 2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Mistrust factors of local travel during COVID-19 Thailand 2021 [Dataset]. https://www.statista.com/statistics/1262175/thailand-reasons-for-domestic-tourism-insecurity-during-covid-19-pandemic/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2, 2021 - Jun 6, 2021
    Area covered
    Thailand
    Description

    According to a survey by Tourism Authority of Thailand about travel behaviors during the coronavirus (COVID-19) pandemic in *********, approximately ** percent of Thai respondents stated that they felt insecured in the domestic tourism because there were a large number of COVID-19 cases and the virus could not be properly controlled in Thailand. Meanwhile, around *** percent of the respondents stated that the COVID-19 measures in the country were not strict enough.

  12. f

    Additional file 1 of Rapid SARS-CoV-2 antigen detection assay in comparison...

    • figshare.com
    xlsx
    Updated Jun 1, 2023
    + more versions
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    Chutikarn Chaimayo; Bualan Kaewnaphan; Nattaya Tanlieng; Niracha Athipanyasilp; Rujipas Sirijatuphat; Methee Chayakulkeeree; Nasikarn Angkasekwinai; Ruengpung Sutthent; Nattawut Puangpunngam; Theerawoot Tharmviboonsri; Orawan Pongraweewan; Suebwong Chuthapisith; Yongyut Sirivatanauksorn; Wannee Kantakamalakul; Navin Horthongkham (2023). Additional file 1 of Rapid SARS-CoV-2 antigen detection assay in comparison with real-time RT-PCR assay for laboratory diagnosis of COVID-19 in Thailand [Dataset]. http://doi.org/10.6084/m9.figshare.13237441.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    Chutikarn Chaimayo; Bualan Kaewnaphan; Nattaya Tanlieng; Niracha Athipanyasilp; Rujipas Sirijatuphat; Methee Chayakulkeeree; Nasikarn Angkasekwinai; Ruengpung Sutthent; Nattawut Puangpunngam; Theerawoot Tharmviboonsri; Orawan Pongraweewan; Suebwong Chuthapisith; Yongyut Sirivatanauksorn; Wannee Kantakamalakul; Navin Horthongkham
    License

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

    Area covered
    Thailand
    Description

    Additional file 1. Table S1: Rapid antigen test in 60 SARS-CoV-2 RT-PCR-positive cases. Characteristics of each COVID-19 Thai case (n=60) including gender, age, initial diagnosis, specimen type, Ct-value of RT-PCR (E, RdRp, N), RT-PCR result, Standard Q COVID-19 Ag test result, and time from symptom onset to laboratory test are demonstrated. Continuous data were presented in mean, standard deviation (SD), median, and range (min, max).

  13. M

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

    • catalog.midasnetwork.us
    • tycho.pitt.edu
    csv, zip
    Updated Jul 12, 2023
    + more versions
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    MIDAS Coordination Center (2023). Project Tycho Dataset; Counts of COVID-19 Reported In THAILAND: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/TH.840539006
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jul 12, 2023
    Dataset authored and provided by
    MIDAS Coordination Center
    License

    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
    Variables measured
    disease, COVID-19, pathogen, case counts, mortality data, infectious disease, Severe acute respiratory syndrome coronavirus 2
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in THAILAND: 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.

  14. g

    Coronavirus (COVID-19) Cases in Thailand | gimi9.com

    • gimi9.com
    Updated Mar 23, 2025
    + more versions
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    (2025). Coronavirus (COVID-19) Cases in Thailand | gimi9.com [Dataset]. https://gimi9.com/dataset/mekong_map-coronavirus-covid-19-cases-in-thailand
    Explore at:
    Dataset updated
    Mar 23, 2025
    License

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

    Area covered
    태국
    Description

    🇹🇭 태국

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

    • cameroon.africageoportal.com
    • 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
    Explore at:
    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.

  16. f

    Demographic and clinical characteristics of Ranong hospital staff.

    • figshare.com
    xls
    Updated Jun 6, 2023
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    Tanawin Nopsopon; Krit Pongpirul; Korn Chotirosniramit; Wutichai Jakaew; Chuenkhwan Kaewwijit; Sawan Kanchana; Narin Hiransuthikul (2023). Demographic and clinical characteristics of Ranong hospital staff. [Dataset]. http://doi.org/10.1371/journal.pone.0238088.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tanawin Nopsopon; Krit Pongpirul; Korn Chotirosniramit; Wutichai Jakaew; Chuenkhwan Kaewwijit; Sawan Kanchana; Narin Hiransuthikul
    License

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

    Area covered
    Ranong
    Description

    Demographic and clinical characteristics of Ranong hospital staff.

  17. f

    Socio-demographic characteristic of COVID-19 patients classifies by status...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 13, 2025
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    Pimpinan Khammawan; Aksara Thongprachum; Kannikar Intawong; Suwat Chariyalertsak (2025). Socio-demographic characteristic of COVID-19 patients classifies by status on July 2021 to December 2021(n = 604). [Dataset]. http://doi.org/10.1371/journal.pone.0324061.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Pimpinan Khammawan; Aksara Thongprachum; Kannikar Intawong; Suwat Chariyalertsak
    License

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

    Description

    Socio-demographic characteristic of COVID-19 patients classifies by status on July 2021 to December 2021(n = 604).

  18. Multi-sector Rapid Needs Assessment and Post-Distribution Monitoring of...

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Jun 1, 2022
    + more versions
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    UN Refugee Agency (UNHCR) (2022). Multi-sector Rapid Needs Assessment and Post-Distribution Monitoring of Cash-Based Intervention October 2020, Round 2 - Thailand [Dataset]. https://catalog.ihsn.org/catalog/10323
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    Dataset updated
    Jun 1, 2022
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UN Refugee Agency (UNHCR)
    Time period covered
    2020
    Area covered
    Thailand
    Description

    Abstract

    The second round in 2020 of the Rapid Needs Assessment (RNA)/Cash-Based Intervention Post-Distribution (CBI PDM) Monitoring Household Survey was conducted in Thailand from October to November 2020. The RNA and PDM were designed as a phone-based survey targeting urban refugees and asylum seekers in Thailand to assess their needs and evaluate the effectiveness of the CBI program in light of COVID-19.

    UNHCR Thailand and its partners work to ensure that the protection needs of urban refugees and asylum seekers are met during the COVID-19 pandemic. Having observed increased levels of vulnerability relating to restrictions on movement, loss of livelihood opportunities and access to healthcare, the RNA aims to strengthen the understanding of the situation, need and vulnerabilities of the forced displaced population. This survey focuses on COVID-19 knowledge, experience, behavior and norms, health, education, employment, and access to basic necessities. The findings aim to provide evidence to evaluate and design protection and programme interventions.

    Since May 2016, UNHCR Thailand has been using multi-purpose CBI PDM to provide protection, assistance, and services to the most vulnerable refugees in the urban areas. The number of urban refugees approaching UNHCR for financial support has more than doubled since the onset of the COVID-19 pandemic. To ensure that UNHCR's multi-purpose CBI framework for urban refugees in Thailand is effective, the monitoring was conducted simultaneously with the RNA. PDM is a mechanism to collect and understand refugees' feedback on the quality, sufficiency, utilization, and effectiveness of the cash assistance. The findings of the PDM support the assessment of the impact of CBI for urban refugees in Thailand affected by the COVID-19 pandemic and the appropriateness of funding levels, distribution modalities and the use of cash to support refugees.

    Geographic coverage

    The survey covers all urban refugees and asylum seekers.

    Analysis unit

    Households

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The two parts of the survey were sampled differently as their sampling universe differs. Both samples were drawn from UNHCR's registration database:

    1. Post-Distribution Monitoring: The total number of beneficiaries households of Cash-Based Interventions in April 2020 was 5,124. For this part of the survey (CBI PDM), a random sample of 122 refugee households was drawn from all vulnerable urban refugee households registered to receive cash assistance.
    2. Rapid Needs Assessment: In addition to the 89 sampled households, who were also answering this part of the survey, a random sample of 91 households, who were not receiving cash assistance, was selected from all urban refugees and asylum seekers registered with UNHCR (5,286).

    Sampling deviation

    There were some language barriers for some groups that were intended to survey during the RNA/PDM, in particular Vietnamese Montagnard refugees, who could not speak Vietnamese. Also, a Jarai interpreter, who has experience in translating surveys for UNHCR in Thailand was not able to translate the survey. Eventually, these sampled households were dropped and replaced with respondents, who could speak Vietnamese. It is worth noting that there is a large portion of Vietnamese Montagnard, who cannot speak Vietnamese among the urban refugee and asylum seeker population in Thailand (up to 30%). In addition to the described language barriers, few Vietnamese Montagnard refugees also were not able to respond to interview questions due to health issues.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Response rate

    The number of cases that could not be reached was slightly higher (18%) in comparison to what was initially planned (10-15%), which was attributed to the COVID-19 situation. Among the cases which refused to be surveyed, half of them cited that they had already been interviewed during the May 2020 RNA-PDM exercise and could not foresee any benefits of participating in a second survey. Others reported that the interview duration was too long and in a few isolated cases, that they could not participate due to work commitments.

  19. Characteristics of hospital staff who developed immunoglobulin M antibody...

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Tanawin Nopsopon; Krit Pongpirul; Korn Chotirosniramit; Wutichai Jakaew; Chuenkhwan Kaewwijit; Sawan Kanchana; Narin Hiransuthikul (2023). Characteristics of hospital staff who developed immunoglobulin M antibody and subsequent PCR status. [Dataset]. http://doi.org/10.1371/journal.pone.0238088.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tanawin Nopsopon; Krit Pongpirul; Korn Chotirosniramit; Wutichai Jakaew; Chuenkhwan Kaewwijit; Sawan Kanchana; Narin Hiransuthikul
    License

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

    Description

    Characteristics of hospital staff who developed immunoglobulin M antibody and subsequent PCR status.

  20. Foreign tourist arrivals Thailand 2015-2024

    • statista.com
    Updated Apr 25, 2025
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    Statista (2025). Foreign tourist arrivals Thailand 2015-2024 [Dataset]. https://www.statista.com/statistics/994693/thailand-number-international-tourist-arrivals/
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    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Thailand
    Description

    In 2024, the number of tourist arrivals amounted to around 35.6 million, which significantly increased from the previous years, which were approximately 28.2 million. The tourism industry in Thailand was one of the most negatively affected industries by the COVID-19 pandemic. Thai tourism industry rebound post-CIOVID-19 The vibrant culture, mouthwatering dishes, and breathtaking scenery make Thailand a top destination in the region. With the globally wide-spread COVID-19 outbreak, the Thai tourism industry was heavily affected due to global travel restrictions. However, since the pandemic was brought under control and restrictions were lifted, the sector showed signs of rebound and was expected to regain its momentum. In 2022, the Thai government eased COVID-19 restrictions, resulting in a significant increase in the annual volume of airport passengers in Thailand in 2023 and 2024. Thailand's visa waivers program The primary factor that tourists take into account when planning their travel is the travel expense. An increase in the price of travel was the most common concern about traveling among visitors to Thailand. In order to subsidize the expenses and increase the number of international tourists visiting the country, the Thai government has waived visas for citizens of China and India in 2024, and intends to provide visa-free travel to citizens of several additional nations in the future.

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Statista (2024). COVID-19 cases in Thailand as of March 2024 [Dataset]. https://www.statista.com/statistics/1099913/thailand-number-of-novel-coronavirus-cases/
Organization logo

COVID-19 cases in Thailand as of March 2024

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Dataset updated
Mar 19, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Thailand
Description

As of March 17, 2024, Thailand had approximately 4.76 million confirmed COVID-19 cases. In that same period, there were 34,576 deaths from COVID-19 in the country.

Impact on the economy in Thailand The Thai economy was heavily impacted during the peak of the pandemic. Various restrictions were imposed in the country, resulting in businesses being temporarily interrupted or even permanently shut down. This resulted in a marked decrease in the gross domestic product (GDP) in 2020. One of the most impacted industries in Thailand was tourism. For months, Thailand had exercised regulations for visitors, such as quarantining, causing the tourism contribution to GDP to drop significantly.

Impact on the society in Thailand The COVID-19 pandemic also impacted the ways of life of Thai people. Apart from additional concerns for their health, Thai people had to adapt to changes in their daily lives. Some key changes include the increasing popularity of online shopping, cashless payments, online education, and even working from home. In January 2023, a survey conducted on online shopping behavior in Thailand suggested that the majority of Thais have shopped online more. Working from home also became the norm for many employees during the pandemic. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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