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".

Q: Paragraph: The avian influenza virus H5N1 and the 2009 swine flu H1N1 are potentially serious pandemic threats to human health, and air travel readily facilitates the spread of infectious diseases. However, past studies have not yet incorporated the effects of air travel on the transmission of influenza in the construction of mathematical epidemic models. Therefore, this paper focused on the human-to-human transmission of influenza, and investigated the effects of air travel activities on an influenza pandemic in a small-world network. These activities of air travel include passengers' consolidation, conveyance and distribution in airports and flights. Dynamic transmission models were developed to assess the expected burdens of the pandemic, with and without control measures. This study also investigated how the small-world properties of an air transportation network facilitate the spread of influenza around the globe. The results show that, as soon as the influenza is spread to the top 50 global airports, the transmission is greatly accelerated. Under the constraint of limited resources, a strategy that first applies control measures to the top 50 airports after day 13 and then soon afterwards to all other airports may result in remarkable containment effectiveness. As the infectiousness of the disease increases, it will expand the scale of the pandemic, and move the start time of the pandemic ahead. 
 Title: Transmission and control of an emerging influenza pandemic in a small-world airline network

A: False
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Q: Paragraph: The Republic of Korea has not only monumentally progressed socially, economically, and politically since 1948, but has taken the arduous undertaking of reforming the way it reduces disaster risk, mitigates the impact, and prepares for and responds to disasters for a resilient future. The administrative and organizational reforms have not been without its setbacks or obstacles; however, they were not so insurmountable that they could not be overcome by one of Korea's greatest assets: persisting endeavors to build back better and to enhance resilience. Starting with an independent national agency in 2004 to manage natural and human-caused disasters and preparedness, the government quickly realized, through focusing events, it was insufficient to handle the increasing complexity and intensifying of disasters striking the nation. Therefore, through political will and hindsight, it continuously coalesced pertinent disaster management responsibilities into newer and newer agencies until 2016, when it enacted a progressively more ubiquitous and self-propelling agency. However, although the agency is apt for current disasters, it will not be for future disaster, which needs the integration of resilience into Disaster Risk Management (DRM). Therefore, we suggest five tenets on how to make Korea's resilient future as well as for other nations that are and will follow in Korea's footsteps, especially for those nations in Asia and Africa. A future that is resilient against all types of disaster risks, especially being prepared well for "low probability and high impact" focusing events that are located in the long-tail of the Power-law Distribution. 
 Title: Disaster Resilient Future in Korea Resilience • Sustainable Development Goals (SDGs) • Climate Change • Ministry of Public Safety and Security (MPSS) • Sendai Framework for Disaster Risk Reduction • Conference of Parties (COP)

A: True
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Q: Paragraph: Q.-W. Jiang). 95% confidence interval (CI): 0.42, 0.66), DARH (OR ¼ 0.73, 95% CI: 0.53, 1.00), and daily average wind velocity (DAWV; OR ¼ 0.81, 95% CI: 0.68, 0.96). Adjustment for the onset time of a primary case led to little change in the results. In addition, in Hebei Province, a major affected area in China, only DAWV (OR ¼ 0.38, 95% CI: 0.20, 0.72) was a significant predictor of secondary attack rate with adjustment for the onset time of primary case. In Inner Mongolia, another major affected area in China, DAWV (OR ¼ 0.50, 95% CI: 0.26, 0.94) and DHS (OR ¼ 0.27, 95% CI: 0.09, 0.81) were significant predictors of secondary attack rate with adjustment for the onset time of primary case. Conclusions: Our results suggest that the SARS outbreak was significantly associated with DAWV, and that DAAP, DARH and DHS may also have influenced the SARS outbreak to some extent. However, because of ecological fallacy and uncontrolled confounding effects that may have biased the results, the association between the SARS outbreak and these meteorological factors and air pollution deserve further investigation. 
 Title: Influence of meteorological factors and air pollution on the outbreak of severe acute respiratory syndrome

A:
True
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