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: Background: The burden of Hepatitis C virus (HCV) has become more and more considerable in China. A macroscopic spatial analysis of HCV infection that can provide scientific information for further intervention and disease control is lacking. Methods: All geo-referenced HCV cases that had been recorded by the China Information System for Disease Control and Prevention (CISDCP) during 2005-2011 were included in the study. In order to learn about the changes of demographic characteristics and geographic distribution, trend test and spatial analysis were conducted to reflect the changing pattern of HCV infection. Results: Over 770,000 identified HCV infection cases had specific geographic information during the study period (2005)(2006)(2007)(2008)(2009)(2010)(2011). Ratios of gender (Male/Female, Z-value = 218.53, P,0.001), age group (#30 years old/$31 years old, Z-value = 2 51.03, P,0.001) and diagnosis type (Clinical diagnosis/Laboratory diagnosis, Z-value = 2130.47, P,0.001) declined. HCV infection was not distributed randomly. Provinces Henan, Guangdong, Guangxi, Xinjiang, and Jilin reported more than 40,000 HCV infections during 2005 to 2011, accounting for 43.91% of all cases. The strength of cluster of disease was increasing in China during the study period. Overall, 11 provinces had once been detected as hotspots during 7 years, most of which were located in the central or border parts of China. Tibet, Qinghai, Jiangxi were the regions that had coldspots. The number of clustering of HCV infection among older adults increased in recent years. Specific interventions and prevention programs targeting at main HCV epidemic areas are urgently in need in mainland China. 
 Title: Spatial Analysis on Hepatitis C Virus Infection in Mainland China: From 2005 to 2011
Example Output: False

Example Input: Paragraph: People in the Middle East have been affected by the Middle East Respiratory Syndrome CoronaVirus (MERS Co-V) since 2012. New cases are continuously reported especially in the Kingdom of Saudi Arabia, and the risk of exposure remains an issue. Data visualization plays a vital role in effective analysis of the data. In this paper, we introduce an interactive visualization application for MERS data collected from the Control and Command Centre, Ministry of Health website of Saudi Arabia. The data corresponding to the period from January 1, 2019 to February 28, 2019 was used in the present work. The attributes considered include gender, age, date of reporting, city, region, camel contact, description and status of the patient. The visualization tool has been developed using Shiny framework of R programming language. The application presents information in the form of interactive plots, maps and tables. The salient feature of the tool is that users can view and download data corresponding to the period of their choice. This tool can help decision makers in the detailed analysis of data and hence devise measures to prevent the spread of the disease. 
 Title: Shiny Framework Based Visualization and Analytics Tool for Middle East Respiratory Syndrome
Example Output: False

Example Input: Paragraph: Viral diseases such as influenza, which are easily transferable from person to person or even country to country, pose one of the biggest threats to health today. Viruses such as avian influenza viruses (N1H5 and H9N1) have been reported to spread in the present decade and, very recently, the novel coronavirus that has caused many life-threatening illnesses and deaths all around the world has received much attention. To prevent these highly contagious viral infections, we have proposed the combination of IMODä and Arbidol to increase their immunomodulatory effects as a novel medicine to prevent and cure influenza and some other infectious diseases such as hepatitis B and C. On the one hand, IMODä within the last few years has been proven to safely and effectively increase the life expectancy for human immunodeficiency virus (HIV)-infected individuals by increasing CD4 lymphocytes. On the other hand, Arbidol, an antiviral agent has been used safely and effectively in the past two decades to prevent and cure all types of influenza and flu. Therefore, the combination of both in a single dosage to further increase CD4 lymphocytes and interferon gamma (IFN-c) could be a better choice for treatment of viral infections. This proposal tries to provide enough support and background for approval of a randomized clinical trial by a relevant team of investigators. ª 2014 Published 
 Title: Combination of IMODä and Arbidol to increase their immunomodulatory effects as a novel medicine to prevent and cure influenza and some other infectious diseases Journal of Medical Hypotheses and Ideas
Example Output:
True