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Infectious Disease Modeling for Public Health Management (IDMP)

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dc.contributor.author Hanan Gohar, Muhammad
dc.contributor.author Muhammad Jamshaid
dc.contributor.author Faheem Khan, Ali Raza
dc.contributor.author Khan, Muhammad Jalal
dc.contributor.author Supervised by Dr. Ihtisham Ul Islam
dc.date.accessioned 2025-02-10T06:02:42Z
dc.date.available 2025-02-10T06:02:42Z
dc.date.issued 2022-06
dc.identifier.other PCS-436
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/49593
dc.description.abstract The modern world is at a very fast pace when it comes to every day developments in research and data science. As it is rightly said that there are hardly any problems left in the world with no solutions at all. Humans are at the peak of their technological achievements. Saying all that, we’ve seen very recently that once Mother Nature decides a change, we are still not ready enough to face it instantly. Nature’s disasters are so abrupt and unexpected that they take all the countermeasures by storm. We have recently faced a global pandemic of COVID-19 which was so unexpected that the world went hopeless for some time. Consistent research and evolution of human advancement started from a point zero and we are well capable to manage it in the span of two years with the help of Allah SWA. Through this project, an effort has been made to timely predict any upcoming diseases (which may particularly lead to a pandemic level outbreak) .The concept of this project is to carry out a national monitoring of the spread of such diseases in a way that it will detect the spread pattern of the virus. Filtered spread patterns of the viruses (in focused areas) will further predict the area wise outbreak of the disease and hence shall assist in curtaining, containing and preventing the spread of the virus.As modern technology has revolutionized almost every facet of our lives and made things unbelievably easy, the medical systems have a lot of merit to adapt to the technology and improve upon the existing systems in such a way that pandemics should be curbed before appearing. All we need are strong, self-intelligent softwares being fed with accurate raw data, so that the clear understanding of outbreak may be predicted and can be accessed by top tier of governments. The timely decision making and efforts as per the technology based data can boost a nation’s resistance against such unexpected outbreaks. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Infectious Disease Modeling for Public Health Management (IDMP) en_US
dc.type Project Report en_US


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