mathematics

Statistics of the COVID-19 pandemic in Pakistan

Statistics of the COVID-19 pandemic in Pakistan 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 Pakistan rather than just read about it. In short: Below are detailed tables and graphs that show the historical spread and trends of COVID-19 in Pakistan. Data (for both the national and provincial levels) from 26 February 2020 (the day the first confirmed cases were recorded) to 9 March 2020 was taken by compiling news reports about the pandemic in Pakistan that minutely covered the pandemic.

Key takeaways

Statistics of the COVID-19 pandemic in Pakistan 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 Pakistan 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 Pakistan from memory before moving on to harder problems.

Reference excerpt

Below are detailed tables and graphs that show the historical spread and trends of COVID-19 in Pakistan. Data (for both the national and provincial levels) from 26 February 2020 (the day the first confirmed cases were recorded) to 9 March 2020 was taken by compiling news reports about the pandemic in Pakistan that minutely covered the pandemic. From 10 March 2020 – 2 April 2020, data was taken from the NIH's daily reports on COVID-19 that were published from 11 March to 3 April (these reports were published early in the day and thus reflected the previous day's cases). Since 3 April 2020, data has been taken from the federal government's live tracker. A more detailed list of sources and data covering the national and provincial levels can be found here. Sources regarding the district level can be found in their subsection.

National

Daily new confirmed cases

Daily new deaths

Case statistics The three line graphs below give a detailed overview of the current and historical case, recovery, and death counts throughout the Pakistan. The first two show the exponential growth of the pandemic in the country by using a linear scale for their Y-Axes. The third plot uses a Logarithmic scale for its Y-Axis to show relationships between the trends. On a Logarithmic Scale, data that shows exponential growth will plot as a straight line. Each major division is a factor of ten. This makes the slope of the plot the relative rate of change anywhere in the timeline, which allows comparison of one plot with the others throughout the pandemic.

Fatality rates The chart below displays the Case Fatality Rate (CFR) of COVID-19 within Pakistan. The two different trendlines represent different methods of measuring CFR during a pandemic. The first line shows the CFR when calculated using the most common method (Dividing the total number of deaths by the number of confirmed cases) and the second line shows the CFR when deaths are divided by the number of closed cases (the number you get when you add the number of recoveries and the number of deaths). By the end of the pandemic, barring any major demographic shifts, the Case Fatality Rate should end up somewhere between the two values (as they stand currently). The latest data on the graph below pertains to 22 May 2021

Testing statistics The two charts below display historical COVID-19 testing data since 3 April 2020, when reliable testing data became available in Pakistan. The first chart covers raw data of numbers of cumulative tests, new tests, and cumulative confirmed cases and new confirmed case counts for comparison with testing numbers. It can be viewed on a linear or logarithmic scale. The second chart shows different types of test positivity rates in Pakistan since the same date. In the second chart, the total positivity rate (Cumulative Confirmed Cases ÷ Cumulative Tests Performed), the daily positivity rate (Daily New Confirmed Cases ÷ Daily New Performed Tests), and a Seven-Day Positivity Rates (Confirmed Cases over the last seven days ÷ Performed Tests over the last seven days) are all compared. The latest data on the graph below pertains to 22 May 2021

Positivity rates The latest data on the graph below pertains to 22 May 2021

Regional The chart below shows the total number of cumulative confirmed cases in each one of Pakistan's seven administrative units. It can be viewed on either a linear scale, or a logarithmic scale, to better differentiate between each administrative unit and their trajectory.The latest data on both the graph and the chart below pertains to 22 May 2020

District-wise The data in this section has been taken from many different sources and is released for many provinces on an irregular basis. The data for the districts of Punjab can be found on an official Twitter page run by the provincial government where data is released daily. The data for Sindh's districts can be found on the website of Sindh's health department, where a "Daily Situation Report" is typically released daily. The most recent data for the districts of Khyber Pakhtunkhwa and the Districts of Balochistan, Pakistan is usually available on the website of National Humanitarian Network Pakistan, which is a collection of NGOs. Data for these two provinces is released sporadically. The districts of Azad Jammu & Kashmir all have data released on a live dashboard, similar to the federal government's, which is usually updated daily. Data for Gilgit-Baltistan's districts is currently not available. The latest data on the two tables below pertains to: 14 May 2021 – Punjab and Islamabad Capital Territory 12 May 2021 – Azad Jammu & Kashmir 7 May 2021 – Sindh and Khyber Pakhtunkhwa 6 May 2021 – Balochistan

References

Worked examples

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

Start with the simplest possible case. Write down what Statistics of the COVID-19 pandemic in Pakistan 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 Pakistan 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 Pakistan 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 Pakistan

In research: Statistics of the COVID-19 pandemic in Pakistan 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 Pakistan 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 Pakistan is common in secondary-school and first-year university syllabi. It links to neighbouring topics COVID-19 pandemic in Pakistan, Health in Pakistan, Statistics of the COVID-19 pandemic, so understanding it makes those chapters shorter.
In everyday life: Look for Statistics of the COVID-19 pandemic in Pakistan 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.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Statistics of the COVID-19 pandemic in Pakistan” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Statistics of the COVID-19 pandemic in Pakistan 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 Pakistan 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 Pakistan 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 Pakistan in simple terms?

Why does Statistics of the COVID-19 pandemic in Pakistan 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 Pakistan?

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 Pakistan.