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.

[Q]: Influenza viruses are a major public health problem worldwide. Although influenza has been extensively researched, there are still many aspects that are not fully understood such as the effects of within and between-hosts dynamics and their impact on behavior change. Here, we develop mathematical models with multiple infection stages and estimate parameters based on within-host data to investigate the impact of behavior change on influenza dynamics. We divide the infected population into three and four groups based on the age of the infection, which corresponds to viral load shedding. We consider within-host data on viral shedding to estimate the length and force of infection of the different infectivity stages. Our results show that behavior changes, due to exogenous events (e.g., media coverage) and disease symptoms, are effective in delaying and lowering an epidemic peak. We show that the dynamics of viral shedding and symptoms, during the infection, are key features when considering epidemic prevention strategies. This study improves our understanding of the spread of influenza virus infection in the population and provides information about the impact of emergent behavior and its connection to the within and between-hosts dynamics.
[A]: Connecting within and between-hosts dynamics in the influenza infection-staged epidemiological models with behavior change


[Q]: Protein microarrays are powerful tools that are widely used in systems biology research. For infectious diseases, proteome microarrays assembled from proteins of pathogens will play an increasingly important role in discovery of diagnostic markers, vaccines, and therapeutics. Distinct formats of protein microarrays have been developed for different applications, including abundance-based and function-based methods. Depending on the application, design issues should be considered, such as the need for multiplexing and label or label free detection methods. New developments, challenges, and future demands in infectious disease research will impact the application of protein microarrays for discovery and validation of biomarkers.
[A]: Protein Microarrays and Biomarkers of Infectious Disease


[Q]: In this study, a pathogenic avian infectious bronchitis virus (IBV) QX-type strain YN was successfully rescued by vaccinia virus based reverse genetic technology. Ten fragments contiguously spanning the complete IBV genome were amplified and cloned into the vaccinia virus genome by homologous recombination. The full-length genomic cDNA was transcribed in vitro, and its transcript was transfected into BHK-21/N cells that could stably express IBV N protein. At 48 h post transfection, the culture medium was harvested and inoculated into 10-dayold specific-pathogen-free embryonated chicken eggs to replicate the rescued virus. This strategy was chosen to facilitate the rescue procedure and to ensure that the recombinant rYN virus will not require any cell culture adaptations. After only one in ovo passage, the recombinant YN virus (rYN) was successfully recovered and confirmed to possess the introduced silent marker mutation in its genome. Biological characteristics of rYN such as the EID 50 , TCID 50 , replication in ovo, and replication kinetcs in vitro were tested and all were similar to its parental strain YN. Our findings demonstrate the successful construction of highly-pathogenic QX-type IBV using a modified rescue procedure, allowing for future studies of the molecular biology and pathogenicity of IBV field strains.
[A]:
Successful establishment of a reverse genetic system for QX-type infectious bronchitis virus and technical improvement of the rescue procedure