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Research Paper | Information Technology | India | Volume 11 Issue 6, June 2022 | Rating: 4.8 / 10
Impact of Online Disease Prediction
Minakshi K. Kanekar, Divya M. Sawant
Abstract: The dramatic workplace transformation created by the pandemic caused by the novel Corona virus forced millions of employees to work from home and also Schools are attending from home. It has an enormous impact on Health. The Internet has become a critical medium for clinicians, public health practitioners, and lay - people seeking health information. Data about diseases and outbreaks are disseminated not only through online announcements by government agencies but also through informal channels, ranging from press reports to blogs to chat rooms to analyses of Web searches (see box). Collectively, these sources provide a view of global health that is fundamentally different from that yielded by the disease reporting of the traditional public health infrastructure. Over the past 15 years, Internet technology has become integral to public health surveillance. Systems using informal electronic information have been credited with reducing the time to recognition of an outbreak, preventing governments from suppressing outbreak information, and facilitating public health responses to outbreaks and emerging diseases. Because Web - based sources frequently contain data not captured through traditional government communication channels, they are useful to public health agencies, including the Global Outbreak Alert and Response Network of the World Health Organization (WHO), which relies on such sources for daily surveillance activities. The Internet has revolutionized several aspects of our day to day lives. It affected the manner we have a tendency to do our daily Routine of Our Health. An internet survey was conducted. The form was sent to responders by exploitation email. The form was sent to thirty peoples by sampling technique. The respondents are allowed to respond the questions as per their convenience. Responders are given time of fifteen days to finish the form.
Keywords: Internet, Internet addiction, Online Disease Prediction, Health
Edition: Volume 11 Issue 6, June 2022
Pages: 1381 - 1384