Abstract
Infectious disease outbreak has a significant impact on morbidity, mortality and can cause economic instability of many countries. As global trade is growing, goods and individuals are expected to travel across the border, an infected epidemic area carrier can pose a great danger to his hostile. If a disease outbreak is recognized promptly, then commercial products and travelers (traders/visitors) will be effectively vaccinated, and therefore the disease stopped. Early detection of outbreaks plays an important role here, and beware of the rapid implementation of control measures by citizens, public health organizations, and government. Many indicators have valuable information, such as online news sources (RSS) and social media sources (Twitter, Facebook) that can be used, but are unstructured and bulky, to extract information about disease outbreaks. Few early warning outbreak systems exist with some limitation of linguistic (Urdu) and covering areas (Pakistan). In Pakistan, few channels are published the outbreak news in Urdu or English. The aim is to procure information from Pakistan’s English and Urdu news channels and then investigate process, integrate, and visualize the disease epidemic. Urdu ontology is not existed before to match extracted diseases, so we also build that ontology of disease.
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References
Zhao, Y., et al.: National survey of drug-resistant tuberculosis in China. New Engl. J. Med. 366(23), 2161–2170 (2012)
Szomszor, M., Kostkova, P., St Louis, C.: Twitter informatics: tracking and understanding public reaction during the 2009 swine flu pandemic. In: 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, vol. 1, pp. 320–323. IEEE (2011)
BerrĂos-Torres, S.I., et al.: Centers for disease control and prevention guideline for the prevention of surgical site infection. JAMA Surg. 152(8), 784–791 (2017)
Morse, S.S., Rosenberg, B.H., Woodall, J., Subgroup, P.S.C.D.: ProMED global monitoring of emerging diseases: design for a demonstration program. Health Policy 38(3), 135–153 (1996)
Schriml, L.M., et al.: Disease ontology: a backbone for disease semantic integration. Nucleic Acids Res. 40(D1), D940–D946 (2012)
Johnson, S.M., Osmond, A., Holz, R.J.: Developing a current awareness service using really simple syndication (RSS). J. Med. Libr. Assoc. JMLA 97(1), 52 (2009)
Newman, M.E.: Spread of epidemic disease on networks. Phys. Rev. E 66(1), 016128 (2002)
Mullen, L.A., Benoit, K., Keyes, O., Selivanov, D., Arnold, J.: Fast, consistent tokenization of natural language text. J. Open Sour. Softw. 3(23), 655 (2018)
Netek, R., Brus, J., Tomecka, O.: Performance testing on marker clustering and heatmap visualization techniques: a comparative study on javascript mapping libraries. ISPRS Int. J. Geo Inf. 8(8), 348 (2019)
Jabbar, A., Iqbal, S., Khan, M.U.G.: Analysis and development of resources for Urdu text stemming. Lang. Technol. 1 (2016)
Lazcka, O., Del Campo, F.J., Munoz, F.X.: Pathogen detection: a perspective of traditional methods and biosensors. Biosens. Bioelectron. 22(7), 1205–1217 (2007)
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Nasir, M., Bakhtyar, M., Babar, J., Lakho, S., Ahmed, B., Noor, W. (2023). BIOPAK FLASHER: Epidemic Disease Monitoring and Detection in Pakistan Using Text Mining. In: Balas, V.E., Jain, L.C., Balas, M.M., Baleanu, D. (eds) Soft Computing Applications. SOFA 2020. Advances in Intelligent Systems and Computing, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-031-23636-5_40
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DOI: https://doi.org/10.1007/978-3-031-23636-5_40
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