
CovidAPI
Blazingly fast, heavily cached REST endpoints using JHU data
CovidAPI launched on March 25, 2020 with 5 votes, #1,643 of 4,417 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 6 years on.
What it does
This project builds upon the dataset of John Hopkins University of the global data of Corona Virus / Covid19. The endpoints are heavily cached, updated thrice a day with a response time of sub 100 milliseconds
Access accurate, up-to-date COVID-19 statistics and data through our comprehensive API. Track global cases, recoveries, deaths, and vaccination rates with ease. Ideal for developers, researchers, and public health professionals seeking reliable information for analysis and reporting.
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- LSLog-Scale Covid-19 Plots2020 · bitbucket.org · ▲110
Bitbucket Cloud is a Git-based code and CI/CD tool optimized for teams using Jira.
- C1Covid-19 Projections, Simple Logistic and Exponential Models2020 · ▲9
Hello, HN! There have been a lot of COVID-19 from various sites, but a common complaint is that simple things like log-scaling population counts are are infrequently done. So I decided to do it: https://covid19.fernandes.org/ I've aggregated the JHU (per Country) and NYT (select US states) data and plotted them under two models: simple exponential growth and simple logistic growth. The plots are updated as the JHU and NYT data is updated (thanks, GitHub actions!). A big challenge has been the writeup because the exponential model implies horrific things, but the logistic model…

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