mathematics

Statistics of the COVID-19 pandemic in Singapore

Statistics of the COVID-19 pandemic in Singapore is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Statistics of the COVID-19 pandemic in Singapore rather than just read about it. In short: This article presents official statistics gathered during the COVID-19 pandemic in Singapore. The Ministry of Health of Singapore has been publishing official numbers on a daily basis since the first confirmed case of SARS-CoV-2 virus on 23 January 2020.

Key takeaways

Statistics of the COVID-19 pandemic in Singapore belongs to mathematics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Statistics of the COVID-19 pandemic in Singapore to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Statistics of the COVID-19 pandemic in Singapore from memory before moving on to harder problems.

Reference excerpt

This article presents official statistics gathered during the COVID-19 pandemic in Singapore.

The Ministry of Health of Singapore has been publishing official numbers on a daily basis since the first confirmed case of SARS-CoV-2 virus on 23 January 2020. In their situation reports, the cases are broken down into several categories: imported cases, non-imported community cases, non-imported dormitory cases. Prior to 16 April 2020, MOH had released the data only at the end of the day. However upon discovery of a civil servant leaking information before the official release of data, since 17 April 2020, MOH has been providing a preliminary update of summarised figures at around noon of each day with the details released at the end of the day.

Classifying COVID-19 cases Singapore adheres strictly to World Health Organization's case definition for classifying COVID-19 deaths, which does not include non-pneumonia fatalities like those caused by blood or heart issues among COVID-19 patients in its official tally. This was exemplified in three cases which the cause of death was recorded as either ischaemic heart disease or heart attack, and a suicide committed by an Indian migrant worker who was tested positive for the virus.

Charts The linear plot shows the total number of cases as a function of time (by date) since 23 January 2020, the date of the first reported case in Singapore, while the graph plotted on a logarithmic scale, or a semi-log plot, shows an exponential growth in the number of cases as a straight line on the graph. In the logarithmic scale plot, the slope of the straight line determines the rate of growth of the number of cases, with a steeper slope representing a higher growth rate. The third and fourth plot shows the number of daily new cases and total active cases respectively as reported.

Overview

Cases per day

Active cases per day

Recoveries per day

Deaths per day

Total tests performed The linear plot shows the total number of tests performed as a function of time (by date) from 7 April 2020, the date of the first testing data given in Singapore.

Cumulative number of cases, hospitalizations, ICU admissions, recoveries and deaths

Notes

References

Illustrations

Worked examples

Example 1 — a first encounter with Statistics of the COVID-19 pandemic in Singapore

Start with the simplest possible case. Write down what Statistics of the COVID-19 pandemic in Singapore claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Statistics of the COVID-19 pandemic in Singapore before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Statistics of the COVID-19 pandemic in Singapore ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Statistics of the COVID-19 pandemic in Singapore

In research: Statistics of the COVID-19 pandemic in Singapore appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Statistics of the COVID-19 pandemic in Singapore in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Statistics of the COVID-19 pandemic in Singapore is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2020 in Singapore, 2021 in Singapore, COVID-19 pandemic in Singapore, so understanding it makes those chapters shorter.
In everyday life: Look for Statistics of the COVID-19 pandemic in Singapore outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Statistics of the COVID-19 pandemic in Singapore in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Statistics of the COVID-19 pandemic in Singapore means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Statistics of the COVID-19 pandemic in Singapore out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Statistics of the COVID-19 pandemic in Singapore in simple terms?

This article presents official statistics gathered during the COVID-19 pandemic in Singapore. The Ministry of Health of Singapore has been publishing official numbers on a daily basis since the first confirmed case of SARS-CoV-2 virus on 23 January 2020.

Why does Statistics of the COVID-19 pandemic in Singapore matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Statistics of the COVID-19 pandemic in Singapore?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Statistics of the COVID-19 pandemic in Singapore.