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.

As of March 20, 2023, over 13 billion COVID-19 vaccine doses had been administered worldwide, with the United States accounting for almost 672 million of this total. This statistic shows the number of COVID-19 vaccine doses administered worldwide as of March 20, 2023, by country.

SingaporeCovidAnalysis

View it on Heroku https://singaporecovid19.herokuapp.com/

About Me:

Hi, everyone nice to meet you. I am Zac, a mechanical working in Singapore. My aim is to become a Data Scientist in the future. I am planning to go for a Master in Science in Data Science in the future. I will post my practice projects in github from time to time.

My Email: shin1803@hotmail.com My Linkedin: https://www.linkedin.com/in/zac-tey-005646136/

Summary of Project

This is a Data analysis with visual representation using Streamlit, hosted on Heroku. It's about the statistics of Covid-19 in Singapore, last updated on April 2020. I am aware of the uncompleteness of the data (such as large amounts of NaN). However this is the best that I could find at the moment. If you have a better and larger dataset, please feel free to share around. Thank You.

Useful Links You Can Refer for this Project

Streamlit Documentation: https://docs.streamlit.io/en/stable/ https://github.com/streamlit/streamlit

Deploying to Heroku with Gits: https://devcenter.heroku.com/articles/git

Nice Read that I found useful: https://towardsdatascience.com/streamlit-101-an-in-depth-introduction-fc8aad9492f2

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

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

In a survey conducted in Southeast Asian countries in November and December 2021, more than 93 percent of the respondents from Myanmar evaluated their government's performance during the coronavirus (COVID-19) pandemic poorly or very poorly. In contrast, around 98 percent of the respondents from Brunei rated their government's COVID-19 policies to have been either good or adequate.

IntroductionTo curb transmission of COVID-19, Singapore has experienced multiple, ongoing community restrictions. Gaining the ability to adapt and thrive under pressure will be key to addressing effects of these restrictions on mental health. To inform this, we examine the following research questions, (1) What typifies adversity related to living with on–off COVID-19 restrictions? (2) Who are the resilient? (3) How are negative effects of adversity attenuated?MethodsParticipants were a part of the Strengthening Our Community’s Resilience Against Threats from Emerging Infections (SOCRATES) cohort, invited to participate in this survey either via email or text message. Using the community survey data (N = 1,364), analyses including Wilcoxon rank sum test and logistic regression were conducted.ResultsAdversities are identified as circumstances associated with a significant increase in Hospital Anxiety and Depression Scale (HADS) scores. These are typified by having financial worries; experiencing heightened emotions and frequent crying; having “out of body” experiences; having to move frequently or not being able to settle into accommodation; and regularly feeling mistreated by someone close to you. Being resilient in the face of adversity was determined by HADS scores for depression and anxiety (dichotomized at the median) and characterized by overall better social relationships such as having harmonious living situations and solution-driven coping strategies, especially the ability to harness the belief that difficult situations can lead to growth.DiscussionIn accordance with the Loads-Levers-Lifts model, results indicate that initiatives that increase access to identified protection, while minimizing exposure to known adversities where possible, will promote resilience under COVID-19 restrictions.

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.

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.

Dataset from Ministry of Health. For more information, visit https://data.gov.sg/datasets/d_713e8c4fd88c64a7b7e55e9c2643e936/view

Dataset

This dataset was created by mushroomman

Contents

Singapore recorded 62228 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, Singapore reported 804 Coronavirus Deaths. This dataset includes a chart with historical data for Singapore Coronavirus Recovered.

The number of COVID-19 vaccination doses administered per 100 people in Singapore rose to 261 as of Oct 27 2023. This dataset includes a chart with historical data for Singapore Coronavirus Vaccination Rate.

In the second quarter of 2025, the hotel room revenue in Singapore was at more than one billion Singapore dollars. The hotel room revenues have picked up from the second quarter of 2022, when Singapore eased travel restrictions to the country and opened its borders again to international travelers.

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

Within-host models of COVID-19 infection dynamics enable the merits of different forms of antiviral therapy to be assessed in individual patients. A stochastic agent-based model of COVID-19 intracellular dynamics is introduced here, that incorporates essential steps of the viral life cycle targeted by treatment options. Integration of model predictions with an intercellular ODE model of within-host infection dynamics, fitted to patient data, generates a generic profile of disease progression in patients that have recovered in the absence of treatment. This is contrasted with the profiles obtained after variation of model parameters pertinent to the immune response, such as effector cell and antibody proliferation rates, mimicking disease progression in immunocompromised patients. These profiles are then compared with disease progression in the presence of antiviral and convalescent plasma therapy against COVID-19 infections. The model reveals that using both therapies in combination can be very effective in reducing the length of infection, but these synergistic effects decline with a delayed treatment start. Conversely, early treatment with either therapy alone can actually increase the duration of infection, with infectious virions still present after the decline of other markers of infection. This suggests that usage of these treatments should remain carefully controlled in a clinical environment.

As of November 22, 2022, 81 percent of the population in Singapore had the minimum vaccination protection against COVID-19. Singapore considers one to have up-to-date vaccinations when the person aged five and above has had three mRNA vaccines, with the last booster shot being within the past year.

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.

Additional file 1. Supplementary Table. Details of diagnostic codes. This is the list of diagnostic codes, by SNOMED-Clinical Terms (SNOMED-CT) and International Statistical Classification of Diseases and Related Health Problems (ICD 9 and 10-AM).

Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn. Pneumonia. 2020, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH). JSU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on github.