In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Example Input: The spread of infectious disease epidemics is mediated by human travel. Yet human mobility patterns vary substantially between countries and regions. Quantifying the frequency of travel and length of journeys in well-defined population is therefore critical for predicting the likely speed and pattern of spread of emerging infectious diseases, such as a new influenza pandemic. Here we present the results of a large population survey undertaken in 2007 in two areas of China: Shenzhen city in Guangdong province, and Huangshan city in Anhui province. In each area, 10,000 randomly selected individuals were interviewed, and data on regular and occasional journeys collected. Travel behaviour was examined as a function of age, sex, economic status and home location. Women and children were generally found to travel shorter distances than men. Travel patterns in the economically developed Shenzhen region are shown to resemble those in developed and economically advanced middle income countries with a significant fraction of the population commuting over distances in excess of 50 km. Conversely, in the less developed rural region of Anhui, travel was much more local, with very few journeys over 30 km. Travel patterns in both populations were well-fitted by a gravity model with a lognormal kernel function. The results provide the first quantitative information on human travel patterns in modern China, and suggest that a pandemic emerging in a less developed area of rural China might spread geographically sufficiently slowly for containment to be feasible, while spatial spread in the more economically developed areas might be expected to be much more rapid, making containment more difficult.
Example Output: Travel Patterns in China

Example Input: Objective: Healthcare providers in emergency departments should wear respirators for infection protection. However, the wearer's vigorous movements during cardiopulmonary resuscitation may affect the protective performance of the respirator. Herein, we aimed to assess the effects of chest compressions (CCs) on the protective performance of respirators. Methods: This crossover study evaluated 30 healthcare providers from 1 emergency department who performed CC with real-time feedback. The first, second, and third groups started with a cup-type, fold-type, and valve-type respirator, respectively, after which the respirators were randomized for each group. The fit factors were measured using a quantitative fit testing device before and during the CC in each experiment. The protection rate was defined as the proportion of respirators achieving a fit factor ≥100. Results: The fold-type respirator had a significantly greater protection rate at baseline (100.0% ± 0.0%) compared to the cup-type (73.6% ± 39.6%, P = .003) and valve-type respirators (87.5% ± 30.3%, P = .012). During the CC, the fit factor values significantly decreased for the cup-type (44.9% ± 42.8%, P < .001) and valve-type respirators (59.5% ± 41.7%, P = .002), but not for the fold-type respirator (93.2% ± 21.7%, P = .095). Conclusions: The protective performances of respirators may be influenced by CC. Healthcare providers should identify the respirator that provides the best fit for their intended tasks. Abbreviations: CC = Chest compression, CPR = Cardiopulmonary resuscitation, MERS = Middle East Respiratory Syndrome, NIOSH = National Institute for Occupational Safety and Health.
Example Output: Comparing the protective performances of 3 types of N95 filtering facepiece respirators during chest compressions A randomized simulation study

Example Input: Background: Infection control professionals (ICP) who have experienced disaster response have not been assessed in terms of the lessons they have learned, gaps they perceive in disaster preparedness, and their perceived priorities for future emergency response training. Methods: Focus groups were conducted at the APIC 2006 Conference to evaluate ICPs' perceived needs related to disaster planning topics, products they feel are needed for education and reference materials, and lessons learned from past disasters. Results: ICPs' role in disaster preparedness and response is essential, even in noninfectious disease emergencies. Infection control issues in shelters, such as overcrowding, foodborne illness, lack of restroom facilities, inadequate environmental cleaning procedures and products, difficulty assessing disease outbreaks in shelters, inability to isolate potentially contagious patients, and too few hand hygiene supplies can contribute to secondary disease transmission. Other important topics on which ICPs need to be trained include surge capacity, employee health and safety, incident command system, educating responders and the public on disaster preparedness, addressing changing standards/recommendations, and partnering with public health. ICPs need quick reference materials, such as checklists, templates, tool kits, and algorithms to better equip them for disaster response. Conclusion: Infection control must continue to partner with public health and other responding agencies to address gaps in disaster planning. (Am J Infect Control 2007;35:374-81.) 
Example Output:
Disaster preparedness lessons learned and future directions for education: Results from focus groups conducted at the 2006 APIC Conference