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: lord mayor and aldermen of the city of London put into place a set of orders "concerning the infection of the plague," which was then sweeping through the population. He intended that these actions would be "very expedient for preventing and avoiding of infection of sickness" (1). At that time, London faced a public health crisis, with an inadequate scientific base in that the role of rats and their fleas in disease transmission was unknown. Nonetheless, this crisis was faced with good intentions by the top medical and political figures of the community. Daniel Defoe made an observation that could apply to many public health interventions then and today, "This shutting up of houses was at first counted a very cruel and unchristian method but it was a public good that justified a private mischief" (1). Then, just as today, a complex relationship existed between the science of public health and the practice of public health and politics. We address the relationship between science, public health, and politics, with a particular emphasis on infectious diseases. Science, public health, and politics are not only compatible, but all three are necessary to improve the public's health. The progress of each area of public health is related to the strength of the other areas. The effect of politics in public health becomes dangerous when policy is dictated by ideology. Policy is also threatened when it is solely determined by science, devoid of considerations of social condition, culture, economics, and public will. When using the word "politics," we refer not simply to partisan politics but to the broader set of policies and sys-tems. Although ideology is used in many different ways, in this case, it refers to individual systems of belief that may color a person's attitudes and actions and that are not necessarily based on scientific evidence (2).
Title: Plagues, Public Health, and Politics 1
Example Output: True

Example Input: Paragraph: Contact patterns among hosts are considered as one of the most critical factors contributing to unequal pathogen transmission. Consequently, networks have been widely applied in infectious disease modeling. However most studies assume static network structure due to lack of accurate observation and appropriate analytic tools. In this study we used high temporal and spatial resolution animal position data to construct a high-resolution contact network relevant to infectious disease transmission. The animal contact network aggregated at hourly level was highly variable and dynamic within and between days, for both network structure (network degree distribution) and individual rank of degree distribution in the network (degree order). We integrated network degree distribution and degree order heterogeneities with a commonly used contact-based, directly transmitted disease model to quantify the effect of these two sources of heterogeneity on the infectious disease dynamics. Four conditions were simulated based on the combination of these two heterogeneities. Simulation results indicated that disease dynamics and individual contribution to new infections varied substantially among these four conditions under both parameter settings. Changes in the contact network had a greater effect on disease dynamics for pathogens with smaller basic reproduction number (i.e. R 0 , 2).
Title: Highly dynamic animal contact network and implications on disease transmission
Example Output: True

Example Input: Paragraph: Background: During the 2014 West African Ebola Virus Disease (EVD) outbreak, the U.S. Centers for Disease Control and Prevention recommended that all emergency department (ED) patients undergo travel screening for risk factors of importing EVD. Objectives: We sought to determine the overall adherence rate to the recommended travel screening protocol and to identify factors associated with nonadherence to the protocol. Methods: We conducted a multicenter, retrospective analysis of adherence to the travel screening program in an academic hospital and three affiliated community hospitals. A regression model identified patient and hospital factors associated with nonadherence. Results: Of the 147,062 patients included for analysis, 93.7% (n = 137,834) had travel screenings completed. We identified several characteristics of patients that were most likely to be missed by the screening protocol-patients with low English proficiency, patients who arrive via ambulance or helicopter, and patients with more severe illness or injury based on initial triage acuity. Conclusions: These findings should be used to improve adherence to the travel screening protocol for future emerging infectious disease threats. O
Title: Original Contributions ADHERENCE TO UNIVERSAL TRAVEL SCREENING IN THE EMERGENCY DEPARTMENT DURING EPIDEMIC EBOLA VIRUS DISEASE
Example Output:
False