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: Interferon-induced transmembrane proteins (IFITMs) have been recognized as important antiviral effectors of the innate immune system, both in cell culture and in infected humans. In particular, polymorphisms of the human IFITM3 gene have been shown to affect disease severity and progression in influenza A virus (FLUAV) and human immunodeficiency virus (HIV) infection, respectively. Rhesus macaques (Macaca mulatta) are commonly used to model human infections and the experimental inoculation of these animals with simian immunodeficiency virus (SIV) is one of the best models for HIV/AIDS in humans. However, information on the role of IFITM3 in SIV infection of rhesus macaques is currently lacking. We show that rhesus macaque (rh) IFITM3 inhibits SIV and FLUAV entry in cell culture, although with moderately reduced efficiency as compared to its human counterpart. We further report the identification of 16 polymorphisms in the rhIFITM3 gene, three of which were exonic and synonymous while the remainder was located in non-coding regions. Employing previously characterized samples from two cohorts of SIV-infected rhesus macaques, we investigated the relationship between these rhIFITM3 polymorphisms and both AIDS-free survival time and virus load. In cohort 1, several intronic polymorphisms were significantly associated with virus load or survival. However, an association with both parameters was not observed and significance was lost in most cases when animals were stratified for the presence of MHC allele Mamu-A1*001. Moreover, no significant genotype-phenotype associations were detected in cohort 2. These results suggest that, although IFITM3 can inhibit SIV infection in cell culture, genetic variation in rhIFITM3 might have only a minor impact on the course of SIV infection in experimentally infected animals.
Title: Rhesus macaque IFITM3 gene polymorphisms and SIV infection
False

Paragraph: To assess the viability of isolation and contact tracing to control onwards transmission from imported cases of 2019-nCoV. We developed a stochastic transmission model, parameterised to the 2019-nCoV outbreak. We used the model to quantify the potential effectiveness of contact tracing and isolation of cases at controlling a 2019 nCoV-like pathogen. We considered scenarios that varied in: the number of initial cases; the basic reproduction number R0; the delay from symptom onset to isolation; the probability contacts were traced; the proportion of transmission that occurred before symptom onset, and the proportion of subclinical infections. We assumed isolation prevented all further transmission in the model. Outbreaks were deemed controlled if transmission ended within 12 weeks or before 5000 cases in total. We measured the success of controlling outbreaks using isolation and contact tracing, and quantified the weekly maximum number of cases traced to measure feasibility of public health effort. Findings: While simulated outbreaks starting with only 5 initial cases, R0 of 1.5 and little transmission before symptom onset could be controlled even with low contact tracing probability, the prospects of controlling an outbreak dramatically dropped with the number of initial cases, with higher R0, and with more transmission before symptom onset. Across different initial numbers of cases, the majority of scenarios with an R0 of 1.5 were controllable with under 50% of contacts successfully traced. For R0 of 2.5 and 3.5, more than 70% and 90% of contacts respectively had to be traced to control the majority of outbreaks. The delay between symptom onset and isolation played the largest role in determining whether an outbreak was controllable for lower values of R0. For higher values of R0 and a large initial number of cases, contact tracing and isolation was only potentially feasible when less than 1% of transmission occurred before symptom onset. Interpretation: We found that in most scenarios contact tracing and case isolation alone is unlikely to control a new outbreak of 2019-nCov within three months. The probability of control decreases with longer delays from symptom onset to isolation, fewer cases ascertained by contact tracing, and increasing transmission before symptoms. This model can be modified to reflect updated transmission characteristics and more specific definitions of outbreak control to assess the potential success of local response efforts.
Title: Title: Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts
True

Paragraph: To determine the factors that predict in-hospital mortality among patients who require hospitalization for the treatment of community-acquired pneumonia (CAP). Study design: Prospective observational study of all patients who were admitted to six hospitals in Edmonton, AL, Canada, with a diagnosis of CAP from November 15, 2000, to November 14, 2002. Pneumonia was defined as two or more respiratory symptoms and signs and an opacity on a chest radiograph as interpreted by the attending physician. Results: A total of 3,043 patients were enrolled in the study, 246 of whom died (8.1%). On multivariate analysis, increasing pneumonia severity score, increasing age, site of care, consultation with a respirologist or infectious diseases physician, and functional status at the time of admission were all independently predictive of mortality. Increasing pneumonia severity risk score, increasing age, site of hospitalization, functional status, and consultation with an infectious diseases physician or a respirologist were independently associated with both early (< 5 days) and late (> 5 days) mortality. In contrast, partial or complete use of the pneumonia pathway was associated with decreased early mortality, but had no effect on late mortality. A low lymphocyte count and a high serum potassium level were associated with early but not with late mortality. The type of antibiotic therapy had an effect on late but not on early mortality. Conclusions: Functional status at the time of hospital admission is a powerful predictor of mortality and should be incorporated into any scores or models that are used to predict mortality. While there are some common predictors of early and late in-hospital mortality, early mortality is not affected by the timing or type of antibiotic therapy, whereas late mortality is influenced by the type of antibiotic therapy. Hyperkalemia and lymphopenia are associated with early mortality. Abbreviations: CAP community-acquired pneumonia; CI confidence interval; FSA forward sortation area; HRCT high-resolution CT; OR odds ratio C ommunity-acquired pneumonia (CAP) is a common illness with an incidence rate of approximately 11.6/1,000 adults per year, 1 of which approx-
Title: Factors Influencing In-hospital Mortality in Community-Acquired Pneumonia* A Prospective Study of Patients Not Initially Admitted to the ICU
True