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• W2066077517 abstract "Background . Emergence of infectious diseases like influenza pandemic (H1N1) 2009 has become great concern, which posed new challenges to the health authorities worldwide. To control these diseases various studies have been developed in the field of mathematical modelling, which is useful tool for understanding the epidemiological dynamics and their dependence on social mixing patterns. Method . We have used Bayesian approach to quantify the disease outbreak through key epidemiological parameter basic reproduction number (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M1><mml:mrow><mml:msub><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn fontstyle=italic>0</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>), using effective contacts, defined as sum of the product of incidence cases and probability of generation time distribution. We have estimated<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M2><mml:mrow><mml:msub><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn fontstyle=italic>0</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>from daily case incidence data for pandemic influenza A/H1N1 2009 in India, for the initial phase. Result . The estimated<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M3><mml:mrow><mml:msub><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn fontstyle=italic>0</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>with 95% credible interval is consistent with several other studies on the same strain. Through sensitivity analysis our study indicates that infectiousness affects the estimate of<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M4><mml:mrow><mml:msub><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn fontstyle=italic>0</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>. Conclusion . Basic reproduction number<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M5><mml:mrow><mml:msub><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn fontstyle=italic>0</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>provides the useful information to the public health system to do some effort in controlling the disease by using mitigation strategies like vaccination, quarantine, and so forth." @default.
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• W2066077517 date "2015-01-01" @default.
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• W2066077517 title "A Bayesian Inferential Approach to Quantify the Transmission Intensity of Disease Outbreak" @default.
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• W2066077517 doi "https://doi.org/10.1155/2015/256319" @default.
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