Abstract The COVID-19 outbreak has changed the world at large since it was announced by World Health Organization (WHO). Many policies in various countries were then implemented to control its spread. Most aspects of human life and environment are affected this pandemic. This paper aims determine prediction model for Indonesia. approach used modelling employs a logistic regression model. data m...

Toxorhynchites guadeloupensis (Dyar Knab), a poorly known mosquito species, was observed preying upon Aedes aegypti (L.) larvae, in an oviposition trap placed for routine dengue entomological surveillance, during 2003-2004 in the urban area of Boa Vista, Roraima, Brazil. This is the first report for Tx. guadeloupensis using Ae. aegypti oviposition traps as breeding places. This finding may have...

Summary Whole genome sequencing (WGS) is being adopted in public health for improved surveillance and outbreak analysis. In public health, subtyping has been used to infer phenotypes and distinguish bacterial strain groups. In silico tools that predict subtypes from sequences data are needed to transition historical data to WGS-based protocols. Phylotyper is a novel solution for in silico subty...

Diseases in plants cause major production and economic losses in agricultural industry worldwide. Monitoring of health and detection of diseases in plants and trees is critical for sustainable agriculture. In this paper an approach for building software systems for plant disease control that perform real time prediction of the outbreak and the development of the disease is proposed. Mathematica...

Indonesia is a country that has natural beauty and cultural diversity, making tourists from abroad visit Indonesia. The purpose of coming to travel with their families. Over time, or foreign travellers have decreased, due the COVID-19 outbreak in not ended. As result outbreak, several airports ports were temporarily closed avoid development an increasingly virulent COVID-19. study was determine...

Recently, we developed a seasonal influenza prediction system that uses an advanced data assimilation technique and real-time estimates of influenza incidence to optimize and initialize a population-based mathematical model of influenza transmission dynamics. This system was used to generate and evaluate retrospective forecasts of influenza peak timing in New York City. Here we present weekly f...