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".

Paragraph: Viral pathogens often generate strong CD4 + T cell responses that are best known for their ability to help B cell and CD8 + T cell responses. However, recent studies reveal additional roles for CD4 + T cells, some of which are independent of other lymphocytes, and indicate that memory cells are more effective in most functions than naïve CD4 T cells. Here, we review the full spectrum of antiviral functions of CD4 + T cells, including their helper activities, innate immune induction, and direct anti-viral roles, and suggest how these functions are integrated to provide highly protective responses against viral pathogens. 
 Title: Expanding roles for CD4 + T cells in immunity to viruses NIH Public Access
False

Paragraph: Estimating the case-fatality risk (CFR)-the probability that a person dies from an infection given that they are a case-is a high priority in epidemiologic investigation of newly emerging infectious diseases and sometimes in new outbreaks of known infectious diseases. The data available to estimate the overall CFR are often gathered for other purposes (e.g., surveillance) in challenging circumstances. We describe two forms of bias that may affect the estimation of the overall CFR-preferential ascertainment of severe cases and bias from reporting delays-and review solutions that have been proposed and implemented in past epidemics. Also of interest is the estimation of the causal impact of specific interventions (e.g., hospitalization, or hospitalization at a particular hospital) on survival, which can be estimated as a relative CFR for two or more groups. When observational data are used for this purpose, three more sources of bias may arise: confounding, survivorship bias, and selection due to preferential inclusion in surveillance datasets of those who are hospitalized and/or die. We illustrate these biases and caution against causal interpretation of differential CFR among those receiving different interventions in observational datasets. Again, we discuss ways to reduce these biases, particularly by estimating outcomes in smaller but more systematically defined cohorts ascertained before the onset of symptoms, such as those identified by forward contact tracing. Finally, we discuss the circumstances in which these biases may affect non-causal interpretation of risk factors for death among cases. PLOS Neglected Tropical Diseases | 
 Title: Potential Biases in Estimating Absolute and Relative Case-Fatality Risks during Outbreaks
False

Paragraph: Human respiratory syncytial virus (HRSV) is a major cause of pediatric infection and also causes disease in the elderly and those with underlying respiratory problems. There is no vaccine for HRSV and anti-viral therapeutics are not broadly applicable. To investigate the effect of HRSV biology in children, nasopharyngeal aspirates were taken from children with different viral loads and a combined high throughput RNAseq and label free quantitative proteomics approach was used to characterize the nucleic acid and proteins in these samples. HRSV proteins were identified in the nasopharyngeal aspirates from infected children, and their abundance correlated with viral load (Ct value), confirming HRSV infection. Analysis of the HRSV genome indicated that the children were infected with sub-group A virus and that minor variants in nucleotide frequency occurred in discrete clusters along the HRSV genome, and within a patient clustered distinctly within the glycoprotein gene. Data from the samples were binned into four groups; no-HRSV infection (control), high viral load (Ct < 20), medium viral load (Ct = 20-25), and low viral load (Ct > 25). Cellular proteins associated with the anti-viral response (e.g., ISG15) were identified in the nasopharyngeal aspirates and their abundance was correlated with viral load. These combined approaches have not been used before to study HRSV biology in vivo and can be readily applied to the study the variation of virus host interactions. Table S1 : ANOVA Comparison of abundance. Author Contributions: Conceptualization, W.A. and J.A.H.; methodology, W.A., D.A.M., N.Y.R., and S.A.; software, W.A. and D.A.M.; formal analysis, W.A., G.P., N.Y.R., and S.A.; resources, E.C.-G.; data curation, S.A.; writing-original draft preparation, W.A. and J.A.H.; writing-review and editing, all authors.; supervision, J.A.H. and O.T.; project administration, W.A. and J.A.H.; funding acquisition, W.A. and J.A.H. 
 Title: High Resolution Analysis of Respiratory Syncytial Virus Infection In Vivo

True