Pakistan COVID-19 Interactive Dashboard: 2020–2023 Analysis

This project presents a fully interactive, open-source web dashboard that visualizes the complete COVID-19 epidemic timeline for Pakistan from January 2020 to March 2023 using official data from the Johns Hopkins University Center for Systems Science and Engineering (CSSE). Key Features Real-time interactive line charts built with Plotly (zoom, pan, hover tooltips) Switchable metrics: Total Cases, New Cases, Total Deaths, New Deaths Automatic daily difference calculation from cumulative totals Clean, responsive user interface powered by Streamlit One-click local execution and free public deployment Data SourcesJohns Hopkins CSSE Global Time Series (Confirmed Cases): https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv Johns Hopkins CSSE Global Time Series (Deaths): https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv (Data collection ended March 2023 after WHO declared the end of the global public health emergency.) Live Applicationhttps://pakistan-covid-dashboard.streamlit.app Source Codehttps://github.com/muneebtalks/pakistan-covid-dashboard

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-25
DOI
https://doi.org/10.5281/zenodo.17707630
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Pakistan COVID-19 Interactive Dashboard: 2020–2023 Analysis

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 epidemiological studies
article

Pakistan COVID-19 Interactive Dashboard: 2020–2023 Analysis

article en

Abstract

This project presents a fully interactive, open-source web dashboard that visualizes the complete COVID-19 epidemic timeline for Pakistan from January 2020 to March 2023 using official data from the Johns Hopkins University Center for Systems Science and Engineering (CSSE). Key Features Real-time interactive line charts built with Plotly (zoom, pan, hover tooltips) Switchable metrics: Total Cases, New Cases, Total Deaths, New Deaths Automatic daily difference calculation from cumulative totals Clean, responsive user interface powered by Streamlit One-click local execution and free public deployment Data SourcesJohns Hopkins CSSE Global Time Series (Confirmed Cases): https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv Johns Hopkins CSSE Global Time Series (Deaths): https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv (Data collection ended March 2023 after WHO declared the end of the global public health emergency.) Live Applicationhttps://pakistan-covid-dashboard.streamlit.app Source Codehttps://github.com/muneebtalks/pakistan-covid-dashboard

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 39%
COVID-19 epidemiological studies
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Pakistan COVID-19 Interactive Dashboard: 2020–2023 Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS