TASK DEFINITION: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
PROBLEM: Paragraph: Contact patterns among hosts are considered as one of the most critical factors contributing to unequal pathogen transmission. Consequently, networks have been widely applied in infectious disease modeling. However most studies assume static network structure due to lack of accurate observation and appropriate analytic tools. In this study we used high temporal and spatial resolution animal position data to construct a high-resolution contact network relevant to infectious disease transmission. The animal contact network aggregated at hourly level was highly variable and dynamic within and between days, for both network structure (network degree distribution) and individual rank of degree distribution in the network (degree order). We integrated network degree distribution and degree order heterogeneities with a commonly used contact-based, directly transmitted disease model to quantify the effect of these two sources of heterogeneity on the infectious disease dynamics. Four conditions were simulated based on the combination of these two heterogeneities. Simulation results indicated that disease dynamics and individual contribution to new infections varied substantially among these four conditions under both parameter settings. Changes in the contact network had a greater effect on disease dynamics for pathogens with smaller basic reproduction number (i.e. R 0 , 2). 
 Title: Highly dynamic animal contact network and implications on disease transmission

SOLUTION: True

PROBLEM: Paragraph: COVID-19 threatens to overwhelm hospital facilities throughout the United States. We created an interactive, quantitative model that forecasts demand for COVID-19 related hospitalization based on county-level population characteristics, data from the literature on COVID-19, and data from online repositories. Using this information as well as user inputs, the model estimates a time series of demand for intensive care beds and acute care beds as well as the availability of those beds. The online model is designed to be intuitive and interactive so that local leaders with limited technical or epidemiological expertise may make decisions based on a variety of scenarios. This complements high-level models designed for public consumption and technically sophisticated models designed for use by epidemiologists. The model is actively being used by several academic medical centers and policy makers, and we believe that broader access will continue to aid community and hospital leaders in their response to COVID-19. 
 Title: A model to forecast regional demand for COVID-19 related hospital beds

SOLUTION: True

PROBLEM: Paragraph: Newcastle disease virus (NDV) hemagglutininneuraminidase (HN) is a multifunctional protein, which possesses both the receptor recognition and neuraminidase activities. The fusion (F) protein is a type I membrane glycoprotein that mediates the merger of the viral envelope to the host cell membrane. Although the functions of the HN and F proteins have been well studied, however, the factors shaping synonymous codon usage bias and nucleotide composition in HN and F genes have been few reported. In our study, we analyzed synonymous codon usage using the 69 NDV HN and F genes, respectively. The general correlation between base composition and codon usage bias suggests that mutational pressure rather than natural selection is the main factor that determines the codon usage bias in HN and F genes. In addition, other factors, such as the aromaticity and hydrophobicity, also influence the codon usage variation among HN and F genes. This study represents the most comprehensive analysis to date of NDV HN and F genes codon usage patterns and provides a basic understanding of the mechanisms for codon usage bias. 
 Title: Analysis of synonymous codon usage in Newcastle disease virus hemagglutinin-neuraminidase (HN) gene and fusion protein (F) gene

SOLUTION:
False