Leptospirosis: risk factors and management challenges in developing countries

C Goarant - Research and reports in tropical medicine, 2016 - Taylor & Francis
Leptospirosis is a widespread bacterial zoonosis with highest burden in low-income
populations living in tropical and subtropical regions, both in urban and in rural …

Leptospirosis and coinfection: should we be concerned?

A Md-Lasim, FS Mohd-Taib, M Abdul-Halim… - International journal of …, 2021 - mdpi.com
Pathogenic Leptospira is the causative agent of leptospirosis, an emerging zoonotic disease
affecting animals and humans worldwide. The risk of host infection following interaction with …

ARIMA modelling & forecasting of COVID-19 in top five affected countries

AK Sahai, N Rath, V Sood, MP Singh - Diabetes & metabolic syndrome …, 2020 - Elsevier
Background and aims In a little over six months, the Corona virus epidemic has affected over
ten million and killed over half a million people worldwide as on June 30, 2020. With no …

COVID-19: a comparison of time series methods to forecast percentage of active cases per population

V Papastefanopoulos, P Linardatos, S Kotsiantis - Applied sciences, 2020 - mdpi.com
The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing
governments to introduce extreme measures to reduce its spread. Being able to accurately …

[PDF][PDF] Mathematical modeling and epidemic prediction of COVID-19 and its significance to epidemic prevention and control measures

J Cao, X Jiang, B Zhao - Journal of Biomedical Research & …, 2020 - yumedtext.com
Background: Since receiving unexplained pneumonia patients at the Jinyintan Hospital in
Wuhan, China in December 2019, the new coronavirus (COVID-19) has rapidly spread in …

Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks

MJ Kane, N Price, M Scotch, P Rabinowitz - BMC bioinformatics, 2014 - Springer
Background Time series models can play an important role in disease prediction. Incidence
data can be used to predict the future occurrence of disease events. Developments in …

Impact of the COVID-19 pandemic on electricity demand and load forecasting

F Alasali, K Nusair, L Alhmoud, E Zarour - Sustainability, 2021 - mdpi.com
The current COVID-19 pandemic and the preventive measures taken to contain the spread
of the disease have drastically changed the patterns of our behavior. The pandemic and …

Climate change and respiratory infections

M Mirsaeidi, H Motahari… - Annals of the …, 2016 - atsjournals.org
The rate of global warming has accelerated over the past 50 years. Increasing surface
temperature is melting glaciers and raising the sea level. More flooding, droughts …

Application of SARIMAX model to forecast daily sales in food retail industry

NS Arunraj, D Ahrens, M Fernandes - International Journal of …, 2016 - igi-global.com
During retail stage of food supply chain (FSC), food waste and stock-outs occur mainly due
to inaccurate sales forecasting which leads to inappropriate ordering of products. The daily …

Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index

A Jalalkamali, M Moradi, N Moradi - International journal of environmental …, 2015 - Springer
Drought is among the most important natural disasters influencing different aspects of
human life. In recent decades, intelligent techniques have shown to be highly capable of …