11 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. o

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

    • data.opendevelopmentmekong.net
    Updated Aug 21, 2020
    + more versions
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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.

  3. T

    Thailand Coronavirus COVID-19 Cases

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

  4. Confirmed Covid Cases in Thailand as of 2021-07-21

    • kaggle.com
    zip
    Updated Aug 5, 2021
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    puttarathamrongkul (2021). Confirmed Covid Cases in Thailand as of 2021-07-21 [Dataset]. https://www.kaggle.com/wilaneeputtara/confirmed-covid-cases-in-thailand-as-of-20210721
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    zip(4353502 bytes)Available download formats
    Dataset updated
    Aug 5, 2021
    Authors
    puttarathamrongkul
    Area covered
    Thailand
    Description

    Dataset

    This dataset was created by puttarathamrongkul

    Contents

  5. COVID-19 cases worldwide as of May 2, 2023, by country or territory

    • statista.com
    • flwrdeptvarieties.store
    Updated Aug 29, 2023
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    Statista (2023). COVID-19 cases worldwide as of May 2, 2023, by country or territory [Dataset]. https://www.statista.com/statistics/1043366/novel-coronavirus-2019ncov-cases-worldwide-by-country/
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    Dataset updated
    Aug 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

    COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

    Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

  6. Characteristics of daily new confirmed COVID-19 cases across the five...

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Sipat Triukose; Sirin Nitinawarat; Ponlapat Satian; Anupap Somboonsavatdee; Ponlachart Chotikarn; Thunchanok Thammasanya; Nasamon Wanlapakorn; Natthinee Sudhinaraset; Pitakpol Boonyamalik; Bancha Kakhong; Yong Poovorawan (2023). Characteristics of daily new confirmed COVID-19 cases across the five epidemic stages in Thailand. [Dataset]. http://doi.org/10.1371/journal.pone.0246274.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sipat Triukose; Sirin Nitinawarat; Ponlapat Satian; Anupap Somboonsavatdee; Ponlachart Chotikarn; Thunchanok Thammasanya; Nasamon Wanlapakorn; Natthinee Sudhinaraset; Pitakpol Boonyamalik; Bancha Kakhong; Yong Poovorawan
    License

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

    Area covered
    Thailand
    Description

    Characteristics of daily new confirmed COVID-19 cases across the five epidemic stages in Thailand.

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

    • catalog.ihsn.org
    Updated Jun 1, 2022
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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.

  8. Foreign tourist arrivals Thailand 2015-2024

    • statista.com
    Updated Feb 20, 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
    Feb 20, 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-19The 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.

  9. f

    The value of each parameter in the model.

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
    + more versions
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    Tanatorn Intarapanya; Apichat Suratanee; Sittiporn Pattaradilokrat; Kitiporn Plaimas (2023). The value of each parameter in the model. [Dataset]. http://doi.org/10.1371/journal.pone.0273558.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tanatorn Intarapanya; Apichat Suratanee; Sittiporn Pattaradilokrat; Kitiporn Plaimas
    License

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

    Description

    The value of each parameter in the model.

  10. f

    Implications for policymakers on COVID-19 prevention in healthcare settings....

    • plos.figshare.com
    xls
    Updated Dec 19, 2023
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    Monnaphat Jongdeepaisal; Puri Chunekamrai; Rapeephan Rattanawongnara Maude; Richard James Maude (2023). Implications for policymakers on COVID-19 prevention in healthcare settings. [Dataset]. http://doi.org/10.1371/journal.pone.0267996.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 19, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Monnaphat Jongdeepaisal; Puri Chunekamrai; Rapeephan Rattanawongnara Maude; Richard James Maude
    License

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

    Description

    Implications for policymakers on COVID-19 prevention in healthcare settings.

  11. Number of road accidents Thailand 2023, by region

    • statista.com
    Updated Oct 16, 2024
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    Statista (2024). Number of road accidents Thailand 2023, by region [Dataset]. https://www.statista.com/statistics/1013330/thailand-number-of-local-road-accidents-by-region/
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023
    Area covered
    Thailand
    Description

    As of October 2023, there were over 87,000 road accidents in Bangkok, followed by nearly 82,000 accidents in the Northeastern region. In that same period, almost 5,000 deaths were caused by local road accidents in the country. Thailand is the leading country in Southeast Asia with the highest number of traffic accident casualties and injuries. Land of motorcycle accidents Thailand is best known for having the highest motorcycle ownership rate across Asia. It is not surprising that motorbikes have become the preferred mode of transportation for Thai people since they are affordable and efficient. Since 2013, domestic motorcycle sales in the country have reached over 1.5 million units every year. Thailand is also known for its high rate of motorbike accidents. As of August 2024, over 80 percent of road traffic fatalities in the country involved motorcycles. Songkran festival: seven dangerous days The week around Songkran, the traditional Thai New Year celebration in April, is known as the “Seven Dangerous Days”. During this period, thousands of Thais travel upcountry, and heavy traffic, speeding, and inebriation often lead to a spike in road accidents. Although the death rate during the COVID-19 pandemic was relatively low due to the cancellation of festivities throughout the country, the number of deaths caused by road accidents during Songkran in Thailand has increased again in recent years.

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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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COVID-19 cases in Thailand as of March 2024

Explore at:
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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