In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Foot-and-mouth disease GIS OpenFOAM Livestock infectious diseases, such as foot-and-mouth disease (FMD), cause substantial economic damage to livestock farms and their related industries. Among various causes of disease spread, airborne dispersion has previously been considered to be an important factor that could not be controlled by preventive measures to stop the spread of disease that focus on direct and indirect contact. Forecasting and predicting airborne virus spread are important to make time for developing strategies and to minimise the damage of the disease. To predict the airborne spread of the disease a modelling approach is important since field experiments using sensors are ineffective because of the rarefied concentrations of virus in the air. The simulation of airborne spread during past outbreaks required improvement both for farmers and for policy decision makers. In this study a free license computational fluid dynamics (CFD) code was used to simulate airborne virus spread. Forecasting data from the Korea Meteorological Administration (KMA) was directly connected in the developed model for real-time forecasting for 48 h in three-hourly intervals. To reduce computation time, scalar transport for airborne virus spread was simulated based on a database for the CFD computed airflow in the investigated area using representative wind conditions. The simulation results, and the weather data were then used to make a database for a web-based forecasting system that could be accessible to users. ScienceDirect jo urnal homepage: www .e lsev ie r.com/ locate/issn/153 75110 b i o s y s t e m s e n g i n e e r i n g 1 2 9 ( 2 0 1 5 ) 1 6 9 e1 8 4 http://dx.
Web-based forecasting system for the airborne spread of livestock infectious disease using computational fluid dynamics

Compared to classical epidemiologic methods, genomics can be used to precisely monitor virus evolution and transmission in real time across large, diverse populations. Integration of pathogen genomics with data about host genetics and global transcriptional responses to infection allows for comprehensive studies of population-level responses to infection and provides novel methods for predicting clinical outcomes. As genomic technologies become more accessible, these methods will redefine how emerging viruses are studied and outbreaks are contained. Here we review the existing and emerging genomic technologies that are enabling systems epidemiology and systems virology and making it possible to respond rapidly to emerging viruses such as Zika.
Genomic Signatures of Emerging Viruses: A New Era of Systems Epidemiology

Two species of membrane-associated glycoproteins have been identified in the coronavirus virion. They are readily distinguished on the basis of size, radiolabeling characteristics, and location in relation to the lipid bilayer. The larger glycoprotein is highly labeled by both radiolabeled fucose and glucosamine. This species is found in two forms, GP180 and GP90, with apparent molecular weights of 180,000 and 90,000. GP180 can be converted to GP90 in vitro by treatment of virions with trypsin. Analysis of tryptic digests of GP90 and GPl80 give identical peptide patterns. Based on pronase and bromelain sensitiyities, GP180/90 is the only protein which is located entirely external to the viral envelope. It appears to comprise the characteristic long, petal-shaped peplomers of the virion. The smaller glycoprotein, GP23, has an apparent molecular weight of 23,000 and is labeled by radiolabeled glucosamine but not by fucose. The level of glucosamine-labeling of GP23 is about l/10 that of GP180/90. GP23 appears to possess two distinct domains: a smaller, carbohydrate containing region which is found outside the viral envelope, and a larger portion, highly labeled by methionine, which is integrally associated with the viral membrane. A new nomenclature is proposed for the three major coronavirus structural proteins. The two envelope glycoproteins, GP23 and GP180/90 are designated El and E2, respectively; the inner core protein, ~~50, is designated N.

Characterization of a Coronavirus' II. Glycoproteins of the Viral Envelope: Tryptic Peptide Analysis