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".

Example Input: Paragraph: The coronavirus disease 2019 pandemic poses an enormous challenge to healthcare systems in affected communities. Older patients and those with pre-existing medical conditions have been identified as populations at risk of a severe disease course. It remains unclear at this point to what extent chronic liver diseases should be considered as risk factors, due to a shortage of appropriate studies. However, patients with advanced liver disease and those after liver transplantation represent vulnerable patient cohorts with an increased risk of infection and/or a severe course of COVID-19. In addition, the current pandemic requires unusual allocation of healthcare resources which may negatively impact the care of patients with chronic liver disease that continue to require medical attention. Thus, the challenge hepatologists are facing is to promote telemedicine in the outpatient setting, prioritise outpatient contacts, avoid nosocomial dissemination of the virus to patients and healthcare providers, and at the same time maintain standard care for patients who require immediate medical attention. 
 Title: Care of patients with liver disease during the COVID-19 pandemic: EASL-ESCMID position paper
Example Output: False

Example Input: Paragraph: The observations that Lymphopenia is common in severe acute respiratory syndrome (SARS) patients and that peripheral blood mononuclear cell (PBMC) could be infected by SARS-CoV indicate that PBMC could be useful in identifying the gene expression profile in convalescent patients and tracing the host response to SARS-CoV infection. In this study, the altered genes expressions in the PBMC of convalescent SARS patients were investigated with suppression subtractive hybridization (SSH). We found that genes encoded by mitochondrial DNA (mtDNA) were obviously upregulated, while mitochondria were now found to be closely connected with antiviral immunity. The identification of a viral gene, M, in SSH cDNA library shows the long-term existence of SARS-CoV in vivo. In addition, some oxidative stress sensitive genes, heat shock proteins, transcription factors, and cytokines showed remarkable elevation. Thin-section electron microscope shows increased lysosome-like granule and mitochondria in PBMC of patients. These results provide important intracellular clue for tracing host response to SARS-CoV infection and suggest a role of mitochondria in that process. 
 Title: Upregulation of Mitochondrial Gene Expression in PBMC from Convalescent SARS Patients
Example Output: True

Example Input: Paragraph: Few comprehensive data exist regarding the epidemiology of severe acute respiratory infections (SARI) in low income countries. This study aimed at identifying etiologies and describing clinical features of SARI-associated hospitalization in Madagascar. It is a prospective surveillance of SARI in 2 hospitals for 3 years. Nasopharyngeal swabs, sputum, and blood were collected from SARI patients enrolled and tested for viruses and bacteria. Epidemiological and clinical information were obtained from case report forms. Overall, 876 patients were enrolled in the study, of which 83.1% (728/876) were tested positive for at least one pathogen. Viral and bacterial infections occurred in 76.1% (667/876) and 35.8% (314/876) of tested samples, respectively. Among all detected viruses, respiratory syncytial virus (RSV) was the most common (37.7%; 348/924) followed by influenza virus A (FLUA, 18.4%; 170/924), rhinovirus (RV, 13.5%; 125/924), and adenovirus (ADV, 8.3%; 77/ 924). Among bacteria, Streptococcus pneumoniae (S. pneumoniae, 50.3%, 189/370) was the most detected followed by Haemophilus influenzae type b (Hib, 21.4%; 79/370), and Klebsiella (4.6%; 17/370). Other Streptococcus species were found in 8.1% (30/370) of 
 Title: Epidemiology of severe acute respiratory infections from hospital-based surveillance in Madagascar
Example Output:
False