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.

Input: Consider Input: Background: Surveillance is essential to estimating the global burden of pneumonia, yet differences in surveillance methodology and health care-seeking behaviors limit inter-country comparisons. Methods: Results were compared from community surveys measuring health care-seeking for pneumonia defined as: (1) cough and difficulty breathing for P2 days; or, (2) provider-diagnosed pneumonia. Surveys were conducted in six sites in Guatemala, Kenya and Thailand; these sites also conduct, active, hospital-and population-based disease surveillance for pneumonia. Results: Frequency of self-reported pneumonia during the preceding year ranged from 1.1% (Thailand) to 6.3% (Guatemala) and was highest in children aged <5 years and in urban sites. The proportion of persons with pneumonia who sought hospitalbased medical services ranged from 12% (Guatemala, Kenya) to 80% (Thailand) and was highest in children <5 years of age. Hospitals and private provider offices were the most common places where persons with pneumonia sought health care. The most commonly cited reasons for not seeking health care were: (a) mild illness; (b) already recovering; and (3) cost of treatment. Conclusions: Health care-seeking patterns varied widely across countries. Using results from standardized health care utilization surveys to adjust facility-based surveillance estimates of pneumonia allows for more accurate and comparable estimates.

Output: Putting surveillance data into context: The role of health care utilization surveys in understanding population burden of pneumonia in developing countries

Input: Consider Input: One word can be used to best describe the theme of each day that has transpired since the onset of the COVID-19 pandemic: uncertainty. Urologic surgical residents around the nation are faced with the unknown when they walk through the doors of the hospital each day. While experience has taught us navigational strategies to handle these circumstances, the COVID-19 pandemic has undoubtedly brought new meaning to this concept. Priorities have quickly transitioned from closely following our previously developed academic curriculum and enhancing our surgical skills, to limiting physician-patient encounters and ensuring the safety and health of our team. Normalcy within our professional and personal lives is completely lost. Yet, as health care providers, we must and will forge on. We review the techniques and guidelines that our institution has implemented in order to allow us to do just that. We believe that our leadership, both at an enterprise and program level, has taken the necessary and early measures to prepare our residency cohort for the uncertain future and challenges posed by COVID-19. This plan emphasizes social and professional distancing, allows residents and faculty to stay current on academic topics, and provides reasonable opportunities for personal wellness, all while emphasizing safety and rationalization. Most importantly, however, we have continued to provide our patients with exceptional urologic care at 2 adult hospitals and 1 children's hospital in the Greater Akron, Ohio area. While we understand each residency program has a unique curriculum with a different number of residents that cover a range of different hospitals, we hope to provide insight into our personal experience. We believe that this method of organization allows a residency program to continue to grow professionally, socially, academically, and personally during the uncertainty that is COVID-19. This framework could serve as an immediate action plan for future pandemics and natural disasters, especially for residency programs that cover multiple hospitals and health care settings.

Output: Editorial Cleveland Clinic Akron General Urology Residency Program's COVID-19 Experience

Input: Consider Input: The generation interval is the time between the infection time of an infected person and the infection time of his or her infector. Probability density functions for generation intervals have been an important input for epidemic models and epidemic data analysis. In this paper, we specify a general stochastic SIR epidemic model and prove that the mean generation interval decreases when susceptible persons are at risk of infectious contact from multiple sources. The intuition behind this is that when a susceptible person has multiple potential infectors, there is a "race" to infect him or her in which only the first infectious contact leads to infection. In an epidemic, the mean generation interval contracts as the prevalence of infection increases. We call this global competition among potential infectors. When there is rapid transmission within clusters of contacts, generation interval contraction can be caused by a high local prevalence of infection even when the global prevalence is low. We call this local competition among potential infectors. Using simulations, we illustrate both types of competition. Finally, we show that hazards of infectious contact can be used instead of generation intervals to estimate the time course of the effective reproductive number in an epidemic. This approach leads naturally to partial likelihoods for epidemic data that are very similar to those that arise in survival analysis, opening a promising avenue of methodological research in infectious disease epidemiology.
Output: Generation interval contraction and epidemic data analysis