An empirical model to forecast West Nile virus mosquito vector populations is developed using time series analysis techniques. Specifically, multivariate seasonal autoregressive integrated moving average (SARIMA) models were developed for Aedes vexans and the combined group of Culex pipiens and Culex restuans in Erie County, New York. Weekly mosquito collections data were obtained for the four ...

OBJECTIVES The aims of this study were to highlight some epidemiological aspects of scorpion envenomations, to analyse and interpret the available data for Biskra province, Algeria, and to develop a forecasting model for scorpion sting cases in Biskra province, which records the highest number of scorpion stings in Algeria. METHODS In addition to analysing the epidemiological profile of scorp...

Background Road traffic accidents are commonly encountered incidents that can cause high-intensity injuries to the victims and have direct impacts on the members of the society. Iran has one of the highest incident rates of road traffic accidents. The objective of this study was to model the patterns of road traffic accidents leading to injury in Kurdistan province, Iran. Methods A time-serie...

Nha Trang Coast is located in the South Central Vietnam and coastal erosion has occurred rapidly recent years. Hence it crucial to accurately monitor shoreline changes for better management reduction of risks communities. In this paper, we explored a statistical forecasting model, Seasonal Auto-regressive Integrated Moving Average (SARIMA), two Machine Learning (ML) models, Neural Network Auto-...

Kenya’s horticulture sector is one of the key contributors to country’s national income. In this paper, we apply Box-Jenkins SARIMA time series modeling approach develop a model that best describes income economy from export produce. process analysis, considered monthly data August 1998 March 2023. It was found that, SARIMA(3; 1; 4)(0; 0)12 suitable