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: Objective: The aim of this study was to further clarify clinical characteristics and predict mortality risk among patients with viral pneumonia. Methods: A total of 528 patients with viral pneumonia at RuiJin hospital in Shanghai from May 2015 to May 2019 were recruited. Multiplex real-time RT-PCR was used to detect respiratory viruses. Demographic information, comorbidities, routine laboratory examinations, immunological indexes, etiological detections, radiological images and treatment were collected on admission. Results: 76 (14.4%) patients died within 90 days in hospital. A predictive MuLBSTA score was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included multilobular infiltrates (OR = 5.20, 95% CI 1.41-12.52, p = 0.010; 5 points), lymphocyte 0.8 * 10 9 /L (OR = 4.53, 95% CI 2.55-8.05, p < 0.001; 4 points), bacterial coinfection (OR = 3.71, 95% CI 2.11-6.51, p < 0.001; 4 points), acute-smoker (OR = 3.19, 95% CI 1.34-6.26, p = 0.001; 3 points), quit-smoker (OR = 2.18, 95% CI 0.99-4.82, p = 0.054; 2 points), hypertension (OR = 2.39, 95% CI 1.55-4.26, p = 0.003; 2 points) and age 60 years (OR = 2.14, 95% CI 1.04-4.39, p = 0.038; 2 points). 12 points was used as a cut-off value for mortality risk stratification. This model showed sensitivity of 0.776, specificity of 0.778 and a better predictive ability than CURB-65 (AUROC = 0.773 vs. 0.717, p < 0.001). Conclusion: Here, we designed an easy-to-use clinically predictive tool for assessing 90-day mortality risk of viral pneumonia. It can accurately stratify hospitalized patients with viral pneumonia into relevant risk categories and could provide guidance to make further clinical decisions.
Title: Citation: Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score
False

Paragraph: Dengue virus (DENV) of the Flaviviridae family is a single positive-stranded RNA virus that is transmitted by Aedes aegypti and Aedes albopictus mosquitoes. The objective of this study was to investigate the use of chloroquine (CLQ) as an antiviral drug against dengue virus in monkeys. To analyze the action of the drug in vivo, nonhuman primates groups (Aotus azarai infulatus) were inoculated with a subcutaneous injection of a virulent strain of DENV-2, treated and untreated CLQ. Blood hematological, viremia, and serum biochemical values were obtained from 16 DENV-2-inoculated, treated and untreated; four received only CLQ and one mock-infected Aotus monkeys. Monkey serum samples (day 0-10 post-inoculation) were assayed by reverse transcription polymerase chain reaction and Cytometric Bead Array for determination of viremia and inflammatory cytokines, respectively. Additionally, body temperature and activity levels were determined. In the present work, CLQ was effective on replication of DENV-2 in Aotus monkeys; a time viremia reduction was observed compared with the controls. The concentration of tumor necrosis factor alpha and interferon gamma in the serum of the animals had a statistically significant reduction in the groups treated with CLQ after infection compared with the controls. A significant decrease in systemic levels of the liver enzyme aspartate aminotransferase (AST) was also observed in the animals treated with CLQ after infection compared with the controls. These results suggest that CLQ interferes in DENV-2 replication in Aotus monkeys.
Title: Antiviral Activity of Chloroquine Against Dengue Virus Type 2 Replication in Aotus Monkeys
False

Paragraph: Background: Middle East Respiratory Syndrome (MERS) is a viral respiratory illness that was recently recognized in humans. Recently, the Ministry of Health in Saudi Arabia reported a substantial increase in MERS cases, primarily from the Riyadh region. The objective of the present study was to evaluate knowledge, attitude and practices towards MERS among physicians, nurses, pharmacist and technicians individually. Methods: A cross sectional study conducted at King Khalid University Hospital, Riyadh, Saudi Arabia among individual healthcare workers. The survey questionnaire was self-administrated and consisted of five sections: Demographic; Source of MERS information; Knowledge; Attitude; and Practice of healthcare workers towards MERS. Results: A total of 391 participants of which physicians (162; 41.4%), pharmacists (18; 4.6%), nurses (130; 33.3%) and technicians (81; 20.7%) were included with a response rate of 95.71%. The majority of the participants were female (53.70%) and mostly in the nurse's category (40.5%). The participants reported the highest main source of information was seminars and workshops (n = 191; 48%) followed by social media (n = 179; 45%). The overall score indicates good knowledge among physicians (95.7%), pharmacists (88.9%), nurses (86.2%) and technicians (91.4%) and showed statistically significant (p = 0.039). The study showed a positive attitude among physicians (96.3%), pharmacist (94.4%), nurses (94.6%) and technicians (90.1%) with no statistically significant (p = 0.273). However, the majority of the participants showed average practices towards MERS. However, the least practice among participants was the use of facemask in the crowds (24.2%). The demographic characteristic's age, gender and professions showed significantly associated with mean knowledge score. Similarly, statistical significance observed in gender and experience demographic variables with a mean attitude score. Conclusions: The study concludes that different health workers showed good knowledge and positive attitudes, but low to average practices towards MERS with low adherence to facemask practice. When comparing workers, physicians have a high degree of knowledge and attitude when compared to nurses, pharmacist and technicians.
Title: JIPH-1134; No. of Pages 8
True