Corona Trackeris a mere internet site that helps you find out the distance between you and the nearest COVID-19 substantiate patient . Build by a group of students from an engineering college in Goa , the internet site source data from 3 dissimilar places – Johns Hopkins University , MOHFW&Crowdsourced with verification .
You just have to visit the website either from your smartphone or computer and select the small“Click here”blue clit on the top of the varlet . The site will postulate you for location permit . Once you grant your location permission , within second , the site reckon the distance between you and the nearest confirmed COVID-19 case .
The distance feature , as of now , is only available for India .
We reach the developers of the site and as per them . The website utilizes a gang - source dataset that contains an updated list of confirmed COVID-19 affected role in India . In simple-minded words , the algorithm of the web site cull up your location datum and then compare it with the emplacement information of confirmed font around you . Upon calculation , it shows you the aloofness between you and the nearest COVID-19 causa .
Now , the bunch - sourced dataset contains the territory name of the grammatical case rather than the precise location . Hence , the algorithm equate the positioning atomic number 27 - ordinates of you and the patient ’s district . Therefore , the data is a jolty appraisal . As per the internet site , there could be an error of 5 Kms .
Apart from this , the website also provide a live global map of the COVID-19 cases and a bouncy comeback . Moreover , there a couple of graph to intuitively present to you the age demographic and casual reckoning of the cases . There is also a difference of opinion in the numbers , compared to theMoHFW web site . But , this is more due to the Ministry not update data at regular intervals .
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All in all , the tool is nifty and I really commend the efforts of the developers . There are few flaws with the padding of the text and recording label placement but that could be easily eliminated in the front - end code . I would also love to see the website catering globally , but , the lack of a world-wide central repository could be the bottleneck .
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