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Published in 2017 at "Current Medical Science"
DOI: 10.1007/s11596-017-1815-8
Abstract: SummaryOutbreaks of hand-foot-mouth disease (HFMD) have occurred many times and caused serious health burden in China since 2008. Application of modern information technology to prediction and early response can be helpful for efficient HFMD prevention…
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Keywords:
arima model;
incidence;
hfmd;
disease ... See more keywords
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Published in 2021 at "Journal of Biomedical Informatics"
DOI: 10.1016/j.jbi.2021.103887
Abstract: Background Time-series forecasting has a critical role during pandemics as it provides essential information that can lead to abstaining from the spread of the disease. The novel coronavirus disease, COVID-19, is spreading rapidly all over…
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Keywords:
arima model;
models used;
single arima;
covid ... See more keywords
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Published in 2021 at "Results in Physics"
DOI: 10.1016/j.rinp.2021.104509
Abstract: COVID-19 was declared a global pandemic by the World Health Organization in March 2020, and has infected more than 4 million people worldwide with over 300,000 deaths by early May 2020. Many researchers around the…
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Keywords:
arima model;
accuracy arima;
best fit;
model ... See more keywords
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Published in 2020 at "Regional Studies in Marine Science"
DOI: 10.1016/j.rsma.2020.101477
Abstract: Abstract Seer fish (Scomberomorus sierra) and mullet (Mugil cephalus) are some of the most important marine fishery resources along the Colombian Pacific Ocean. The objective of this study was to forecast the landings of seer…
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Keywords:
pacific ocean;
time series;
model;
colombian pacific ... See more keywords
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Published in 2017 at "Mathematical Problems in Engineering"
DOI: 10.1155/2017/7840569
Abstract: The analysis and prediction of seawall settlement are important for seawall engineering maintenance and disaster prevention. Based on the measured seawall settlement time series data, a combined LS-ARIMA forecasting model that fits the trend item…
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Keywords:
arima model;
model;
prediction;
seawall settlement ... See more keywords
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Published in 2022 at "Infection and Drug Resistance"
DOI: 10.2147/idr.s367528
Abstract: Objective Forecasting the seasonality and trend of pulmonary tuberculosis is important for the rational allocation of health resources. In this study, we predict the incidence of pulmonary tuberculosis by establishing the autoregressive integrated moving average…
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Keywords:
incidence;
incidence tuberculosis;
covid pandemic;
arima model ... See more keywords
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Published in 2021 at "Statistical journal of the IAOS"
DOI: 10.3233/sji-200758
Abstract: Coronavirus disease 2019 (COVID-19) has been considered a global threat spreading to Nigeria and posing major public health threats and concerns This led to the introduction of internationally acceptable non-pharmaceutical interventions (NPI) such as lockdowns,…
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Keywords:
total size;
spread total;
discharged cases;
model ... See more keywords
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Published in 2022 at "Future Internet"
DOI: 10.3390/fi14110307
Abstract: In order to improve the downlink communication performance of the traditional LoRa wide area network (LoRaWAN), a LoRaWAN downlink routing control strategy based on the software defined networks (SDN) framework and the improved auto-regressive integrated…
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Keywords:
network;
routing control;
arima model;
control strategy ... See more keywords
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Published in 2018 at "Sustainability"
DOI: 10.3390/su10072225
Abstract: Better prediction of energy demand is of vital importance for developing countries to develop effective energy strategies to improve energy security, partly because those countries’ energy demands are increasing rapidly. In this work, metabolic grey…
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Keywords:
arima model;
energy demand;
energy;
model ... See more keywords