COVID-19 prevalence estimation: Four most affected African countries
Sign Up to like & getrecommendations! Published in 2020 at "Infectious Disease Modelling"
DOI: 10.1016/j.idm.2020.10.002
Abstract: The world at large has been confronted with several disease outbreak which has posed and still posing a serious menace to public health globally. Recently, COVID-19 a new kind of coronavirus emerge from Wuhan city… read more here.
Keywords: affected african; covid prevalence; prevalence; arima models ... See more keywords
Assessing the future progression of COVID-19 in Iran and its neighbors using Bayesian models
Sign Up to like & getrecommendations! Published in 2021 at "Infectious Disease Modelling"
DOI: 10.1016/j.idm.2021.01.005
Abstract: Background The short term forecasts regarding different parameters of the COVID-19 are very important to make informed decisions. However, majority of the earlier contributions have used classical time series models, such as auto regressive integrated… read more here.
Keywords: bsts models; iran neighbors; assessing future; arima models ... See more keywords
Forecasting number of ISO 14001 certifications in the Americas using ARIMA models
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2017.01.084
Abstract: The ISO 14001 standard has been showing increasing importance for environmental management in organizations worldwide. Predicting the behaviour of the number of certifications in the coming years is an important strategy for planning and organizational… read more here.
Keywords: certifications americas; number certifications; number; iso 14001 ... See more keywords
Comparison of data analysis procedures for real-time nanoparticle sampling data using classical regression and ARIMA models
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2016.1182132
Abstract: ABSTRACT Real-time monitoring is necessary for nanoparticle exposure assessment to characterize the exposure profile, but the data produced are autocorrelated. This study was conducted to compare three statistical methods used to analyze data, which constitute… read more here.
Keywords: real time; time; arima models; regression arima ... See more keywords
Analyzing a Multifactorial Fall Prevention Program Using ARIMA Models
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Nursing Care Quality"
DOI: 10.1097/ncq.0000000000000681
Abstract: Background: Preventing inpatient falls is challenging for hospitals to improve and often leads to patient injury. Purpose: To describe multifactorial patient-tailored interventions and to evaluate whether they were associated with a sustained decline in total… read more here.
Keywords: fall; fall prevention; multifactorial fall; arima models ... See more keywords
Forecasting annual incidence and mortality rate for prostate cancer in Australia until 2022 using autoregressive integrated moving average (ARIMA) models
Sign Up to like & getrecommendations! Published in 2019 at "BMJ Open"
DOI: 10.1136/bmjopen-2019-031331
Abstract: Objectives Prostate cancer is the second most common cause of cancer-related death in males after lung cancer, imposing a significant burden on the healthcare system in Australia. We propose the use of autoregressive integrated moving… read more here.
Keywords: cancer; incidence mortality; prostate cancer; arima models ... See more keywords
Combining DEA and ARIMA Models for Partner Selection in the Supply Chain of Vietnam’s Construction Industry
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DOI: 10.3390/math8060866
Abstract: The competition between enterprises in the construction market is fierce. If enterprises are unable to afford financial and technological capabilities, they could go bankrupt. Therefore, the implementation of alliances between businesses can help increase their… read more here.
Keywords: partner; construction; dea arima; models partner ... See more keywords