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10.3390/ijerph17114076 http://scihub22266oqcxt.onion/10.3390/ijerph17114076 32521641!7312594!32521641     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Environ+Res+Public+Health 2020 ; 17 (11): ä Nephropedia Template TP {{tp|p=32521641|t=2020. Prediction of Epidemic Peak and Infected Cases for COVID-19 Disease in Malaysia, 2020 |pdf=|usr=}}{{32521641}} gab.com Text Prediction of Epidemic Peak and Infected Cases for COVID-19 Disease in Malaysia, 2020 JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32521641 #FOAvip The coronavirus COVID-19 has recently started to spread rapidly in Malaysia. The number of total infected cases has increased to 3662 on 05 April 2020, leading to the country being placed under lockdown. As the main public concern is whether the current situation will continue for the next few months, this study aims to predict the epidemic peak using the Susceptible-Exposed-Infectious-Recovered (SEIR) model, with incorporation of the mortality cases. The infection rate was estimated using the Genetic Algorithm (GA), while the Adaptive Neuro-Fuzzy Inference System (ANFIS) model was used to provide short-time forecasting of the number of infected cases. The results show that the estimated infection rate is 0.228 +/- 0.013, while the basic reproductive number is 2.28 +/- 0.13. The epidemic peak of COVID-19 in Malaysia could be reached on 26 July 2020, with an uncertain period of 30 days (12 July-11 August). Possible interventions by the government to reduce the infection rate by 25% over two or three months would delay the epidemic peak by 30 and 46 days, respectively. The forecasting results using the ANFIS model show a low Normalized Root Mean Square Error (NRMSE) of 0.041; a low Mean Absolute Percentage Error (MAPE) of 2.45%; and a high coefficient of determination (R(2)) of 0.9964. The results also show that an intervention has a great effect on delaying the epidemic peak and a longer intervention period would reduce the epidemic size at the peak. The study provides important information for public health providers and the government to control the COVID-19 epidemic. Twit Text FOAVip Prediction of Epidemic Peak and Infected Cases for COVID-19 Disease in Malaysia, 2020 ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32521641 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32521641 #FOAvip English Wikipedia <ref>{{Cite pmid|32521641}}</ref> Prediction of Epidemic Peak and Infected Cases for COVID-19 Disease in Malaysia, 2020 #MMPMID32521641 Alsayed A; Sadir H; Kamil R; Sari H Int J Environ Res Public Health 2020[Jun]; 17 (11): ä PMID32521641show ga The coronavirus COVID-19 has recently started to spread rapidly in Malaysia. The number of total infected cases has increased to 3662 on 05 April 2020, leading to the country being placed under lockdown. As the main public concern is whether the current situation will continue for the next few months, this study aims to predict the epidemic peak using the Susceptible-Exposed-Infectious-Recovered (SEIR) model, with incorporation of the mortality cases. The infection rate was estimated using the Genetic Algorithm (GA), while the Adaptive Neuro-Fuzzy Inference System (ANFIS) model was used to provide short-time forecasting of the number of infected cases. The results show that the estimated infection rate is 0.228 +/- 0.013, while the basic reproductive number is 2.28 +/- 0.13. The epidemic peak of COVID-19 in Malaysia could be reached on 26 July 2020, with an uncertain period of 30 days (12 July-11 August). Possible interventions by the government to reduce the infection rate by 25% over two or three months would delay the epidemic peak by 30 and 46 days, respectively. The forecasting results using the ANFIS model show a low Normalized Root Mean Square Error (NRMSE) of 0.041; a low Mean Absolute Percentage Error (MAPE) of 2.45%; and a high coefficient of determination (R(2)) of 0.9964. The results also show that an intervention has a great effect on delaying the epidemic peak and a longer intervention period would reduce the epidemic size at the peak. The study provides important information for public health providers and the government to control the COVID-19 epidemic. |*Pandemics[MESH] |*Public Health Administration[MESH] |Betacoronavirus/*pathogenicity[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Forecasting[MESH] |Health Surveys[MESH] |Humans[MESH] |Malaysia/epidemiology[MESH] |Pneumonia, Viral/*epidemiology[MESH] |Quarantine[MESH]Prediction of Epidemic Peak and Infected Cases for COVID-19 Disease in(epmc).pdf DeepDyve Pubget Overpricing