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 …
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 …
affecting animals and humans worldwide. The risk of host infection following interaction with …
ARIMA modelling & forecasting of COVID-19 in top five affected countries
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 …
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
The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing
governments to introduce extreme measures to reduce its spread. Being able to accurately …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
human life. In recent decades, intelligent techniques have shown to be highly capable of …