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.

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

This dataset shows the cases of Coronavirus (COVID-19) in Thailand. The dataset information is usually updated according to the announcements from Wikipedia page and the Department of Disease Control (https://covid19.ddc.moph.go.th/th) Thai Ministry of Public Health. 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.

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

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

Thailand recorded 207479 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, Thailand reported 21260 Coronavirus Deaths. This dataset includes a chart with historical data for Thailand Coronavirus Recovered.

The number of COVID-19 vaccination doses administered in Thailand rose to 142635014 as of Jul 15 2023. This dataset includes a chart with historical data for Thailand Coronavirus COVID-19 Vaccination Total.

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.

IntroductionData on the characteristics and outcomes of patients hospitalized for Coronavirus Disease 2019 (COVID-19) in Thailand are limited.ObjectiveTo determine characteristics and outcomes and identify risk factors for hospital mortality for hospitalized patients with COVID-19.MethodsWe retrospectively reviewed the medical records of patients who had COVID-19 infection and were admitted to the cohort ward or ICUs at Siriraj Hospital between January 2020 and December 2021.ResultsOf the 2,430 patients included in this study, 229 (9.4%) died; the mean age was 54 years, 40% were men, 81% had at least one comorbidity, and 13% required intensive care unit (ICU). Favipiravir (86%) was the main antiviral treatment. Corticosteroids and rescue anti-inflammatory therapy were used in 74 and 6%, respectively. Admission to the ICU was the only factor associated with reduced mortality [odds ratio (OR) 0.01, 95% confidence interval (CI) 0.01–0.05, P < 0.001], whereas older age (OR 14.3, 95%CI 5.76–35.54, P < 0.001), high flow nasal cannula (HFNC; OR 9.2, 95% CI 3.9–21.6, P < 0.001), mechanical ventilation (OR 269.39, 95%CI 3.6–2173.63, P < 0.001), septic shock (OR 7.79, 95%CI, 2.01–30.18, P = 0.003), and hydrocortisone treatment (OR 27.01, 95%CI 5.29–138.31, P < 0.001) were factors associated with in-hospital mortality.ConclusionThe overall mortality of hospitalized patients with COVID-19 was 9%. The only factor associated with reduced mortality was admission to the ICU. Therefore, appropriate selection of patients for admission to the ICU, strategies to limit disease progression and prevent intubation, and early detection and prompt treatment of nosocomial infection can improve survival in these patients.

The COVID-19 pandemic has had a significant impact on the tourism industry, especially in Thailand. Starting in April 2020, the Thai government banned international travel and all elephant tourist camps closed. A wide variety of management changes were implemented because of the lack of income from tourists. This study surveyed 30 camps that cared for >400 elephants in northern Thailand to obtain information on camp, elephant, and mahout management during the COVID-19 pandemic from April 2020 to 2022 compared to the year before. The survey consisted of questionnaires that interviewed elephant camp owners, managers, veterinarians, and mahouts, and captured information on changes in camp operations, including numbers of tourists, elephants and mahouts, elephant and mahout activities, and veterinary care. Results revealed significant changes in camp structure, elephant work activities and general care. Staff layoffs led to a decrease in the ratio of mahouts to elephants from 1:1 to 1:2. Elephant activities, distance walked, and amounts of food were reduced when compared to pre-COVID-19, while chain hours were increased due to reduced activity. Overall, the COVID-19 crisis altered elephant management significantly, potentially affecting animal welfare resulting from changes in nutrition, health, exercise, and numbers of mahouts. We hope to use these data to develop better management plans and guidelines for elephant camps in Thailand so they can cope with the current and potential imminent pandemics that result in decreased tourism income. A follow-up study will measure health and welfare markers in relation to COVID-19 induced changes to determine if any camps adapted management to still meet elephant health and welfare needs, and could serve as models for responding to future pandemics.

WHO: COVID-2019: Number of Patients: Confirmed: To-Date: Thailand data was reported at 4,761,781.000 Person in 24 Dec 2023. This stayed constant from the previous number of 4,761,781.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Confirmed: To-Date: Thailand data is updated daily, averaging 2,231,021.500 Person from Jan 2020 (Median) to 24 Dec 2023, with 1442 observations. The data reached an all-time high of 4,761,781.000 Person in 24 Dec 2023 and a record low of 1.000 Person in 13 Jan 2020. WHO: COVID-2019: Number of Patients: Confirmed: To-Date: Thailand data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued).

Objective: To investigate prevalence of life satisfaction in the Thai population before and during the COVID-19 epidemic, and factors associated with life satisfaction during the epidemic.Methods: Multistage sampling was used to draw a sample from the Thai population. A total of 3,115 Thai participants age 15 years or older from a nationally-representative longitudinal survey in 2019 and in 2021 were included in this study. The study applied the Scale with Life Satisfaction (SWLS) instrument to measure life satisfaction among the Thai population before and during the COVID-19 epidemic. Multiple regression analysis was used to investigate the association between life satisfaction and other variables. The follow-up survey response rate for individuals was 44.8%.Results: An average life satisfaction score during the COVID-19 epidemic (in 2021) was 22.4 which decreased from 25.5 before the COVID-19 epidemic (in 2019). More than one-third of the participants (36.5%) reported having less life satisfaction during the epidemic, which was nearly 20 percentage points higher than before the epidemic (17.7%). Controlling for life satisfaction in 2019, the analysis found statistical associations between demographic and economic characteristics and health-related behaviours, and life satisfaction during 2021. People in the older age cohorts (p ≤ 0.001), in a rural area (p ≤ 0.05), having higher education (p ≤ 0.001), still being employed (p ≤ 0.01) and becoming unemployed (p ≤ 0.01) had higher life satisfaction. The possibility of higher life satisfaction was also found in people who maintained good health (p ≤ 0.01), sufficient physical activity (p ≤ 0.001), and fruit and vegetable intake (p ≤ 0.01). People with income loss during the epidemic had lower life satisfaction (p ≤ 0.05).Conclusion: The findings suggest that policies and systems for resilience and social protection are needed for empowering individuals—especially the poor and vulnerable—to cope with crises, and improve health and wellbeing outcomes.

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).

IntroductionThe arrival of COVID-19 vaccines in Thailand has supported the fight against the COVID-19 pandemic. This study examined COVID-19 vaccine acceptance among health care workers (HCWs) in Thailand before and after vaccines' availability and investigated factors (both enablers and barriers) affecting their decisions.MethodsTwo online self-administered questionnaires were distributed to HCWs in two time-periods: (1) the pre-vaccine arrival period (prior to COVID-19 vaccines' arrival in Thailand, January 28 to February 16, 2021); and (2) the post-vaccine arrival period (April 21 to May 9, 2021). Descriptive analyses and multinomial logistic regression were conducted to examine factors associated with vaccine hesitancy.ResultsThere were 55,068 respondents in the pre-vaccine arrival period and 27,319 respondents in the post-vaccine arrival period. In the pre-vaccine arrival period, 55.0% of respondents were willing to accept the vaccines, 35.4% were uncertain, and 9.6% declined. In the post-vaccine arrival period, ~16% already received two doses of either the Sinovac or AstraZeneca vaccine, and 43% were administered one dose. Approximately 12% of those who had received the first dose were uncertain or not willing to accept the second dose. Demographic and socio-demographic factors of participants, including their sex, place of residence, and whether they were frontline COVID-19 workers, were found to be the significant factors explaining vaccination hesitancy. Moreover, when comparing the pre-vaccine arrival and post-vaccine arrival periods, it was found that older HCWs were more likely to decline a COVID-19 vaccine in the pre-vaccine arrival period; on the other hand, older HCWs were less likely to decline or be uncertain to receive a COVID-19 vaccine in the post-vaccine arrival period.ConclusionInformation on HCWs' acceptance of COVID-19 vaccines, including who is more likely to accept the vaccines, could assist in planning vaccine allocation to both HCWs and the general public, who often believe HCWs' recommendations. This study's findings set out how policies can be addressed to reduce vaccine hesitancy. This study also highlights HCWs' characteristics (including gender, work region, occupation, and history of receiving influenza vaccination) and the reasons they cited for their vaccine acceptance or hesitance.

Data set of the article "Stigmatizing attitudes toward COVID-19 among various Thai populations."

Thailand GFN: New Borrowing: COVID-19 Second Decree data was reported at 355,834.000 THB mn in 2022. This records an increase from the previous number of 144,166.000 THB mn for 2021. Thailand GFN: New Borrowing: COVID-19 Second Decree data is updated yearly, averaging 250,000.000 THB mn from Sep 2021 (Median) to 2022, with 2 observations. The data reached an all-time high of 355,834.000 THB mn in 2022 and a record low of 144,166.000 THB mn in 2021. Thailand GFN: New Borrowing: COVID-19 Second Decree data remains active status in CEIC and is reported by Public Debt Management Office. The data is categorized under Global Database’s Thailand – Table TH.F040: Government Funding Needs and Funding Raising.

Estimates of R0 for COVID-19 in Thailand using exponential growth rate (EG) and maximum likelihood (MLE) methods with two different distributional assumptions (Log-Normal and Gamma) of serial interval.

The complexity of crisis management in the context of COVID-19, which ranges from the global to the national, reveals a wide variety of means and ends, particularly at the national level. This triggered scholarly interest and raised questions regarding how central (authoritarian) governments handle the COVID-19 pandemic within state borders. The paper evaluates the Thai government's response to the COVID-19 pandemic from the beginning of 2020 to the middle of 2022, when the pandemic was declared over. We employ critical discourse analysis to explain Thailand's crisis management by engaging discursively with different population groups in the country. The findings indicate that the discursive policies and measures implemented by the government to deviate from and halt public pressure resulting from his mismanagement of vaccine policy are based on narratives related to national traditions as a means of resolving dilemmas rather than on the social needs of vulnerable individual citizens. We witnessed how discursive policies and measures can lead to other problems and ineffective responses, specifically regarding vaccine distribution. The article contributes to a better understanding of how, why, and to what extent discursive policies and measures were instrumentalized by an authoritarian government for COVID-19 crisis management, which can likely be inferred in similar cases in developing nations.

The COVID-19 related impact on the economy in Thailand through both direct (generated by domestic lockdown) and indirect (supply and demand shocks in supply chains, including tourism) channels is likely to be severe. There are already signals of the disruptions in the world of work in the first quarter 2020 in Thailand which are expected to deepen and broaden over the next months.

Results of a cross-sectional survey conducted by the Mental Health Department of the Ministry of Public Health in Thailand during the second wave of the COVID-19 outbreak, from December 17, 2020 to February 23, 2021.

The survey involved public health care providers, locals, and village health volunteers (VHVs) across Thailand, covering various aspects such as socio-demographic profiles, financial status, COVID-19 infection history, burnout, stress, stress resilience, and depression, which was assessed using the 9-Questions Depression Assessment (9Q).

The total of 134,149 data instances, each corresponds to individual VHV, are included in the dataset.