In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - category of sentence 2, ..., n - category of sentence n; where each number indicates the order of the sentence. The categories can be identified using the following questions: 
 Background: - Why is this problem important? - What relevant works have been done before? - What did the previous works miss? - What are the high-level research questions? - How might this help other researchers?
 Purpose: - What specific things do the researchers want to do? - What specific knowledge do the researchers want to know? - What specific hypothesis do the researchers want to test?
 Method: - How did the researchers do it or find it out? - What are the procedures and steps of this research?
 Finding/Contribution: - What did the researchers find out? Did the proposed methods work? - Did things behave as the researchers expected?
Other: put every text fragment that does not fit into any of the categories above here. Put a sentence here if its not in English, is not part of the article, contains numbers and dates, is a caption of a figure or a table, is a formatting error, or you are not sure about it.

Q: Background: From October 2010 through February 2016, Arizona conducted surveillance for severe acute respiratory infections (SARI) among adults hospitalized in the Arizona-Mexico border region. There are few accurate mortality estimates in SARI patients, particularly in adults ≥ 65 years old. The purpose of this study was to generate mortality estimates among SARI patients that include deaths occurring shortly after hospital discharge and identify risk factors for mortality. Methods: Patients admitted to two sentinel hospitals between 2010 and 2014 who met the SARI case definition were enrolled. Demographic data were used to link SARI patients to Arizona death certificates. Mortality within 30 days after the date of admission was calculated and risk factors were identified using logistic regression models. Results: Among 258 SARI patients, 47% were females, 51% were white, non-Hispanic and 39% were Hispanic. The median age was 63 years (range, 19 to 97 years) and 80% had one or more pre-existing health condition; 9% died in hospital. Mortality increased to 12% (30/258, 30% increase) when electronic vital records and a 30-day posthospitalization time frame were used. Being age ≥ 65 years (OR = 4.0; 95% CI: 1.6-9.9) and having an intensive care unit admission (OR = 7.4; 95% CI: 3.0-17.9) were independently associated with mortality. Conclusion: The use of electronic vital records increased SARI-associated mortality estimates by 30%. These findings may help guide prevention and treatment measures, particularly in high-risk persons in this highly fluid border population.

A: 1 - background, 2 - background, 3 - background, 4 - background, 5 - purpose, 6 - method, 7 - method, 8 - method, 9 - finding, 10 - finding, 11 - finding, 12 - finding, 13 - finding, 14 - finding, 15 - finding, 16 - finding, 17 - finding
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Q: Over the past few decades, global metapopulation epidemic simulations built with worldwide air-transportation data have been the main tool for studying how epidemics spread from the origin to other parts of the world (e.g., for pandemic influenza, SARS, and Ebola). However, it remains unclear how disease epidemiology and the air-transportation network structure determine epidemic arrivals for different populations around the globe. Here, we fill this knowledge gap by developing and validating an analytical framework that requires only basic analytics from stochastic processes. We apply this framework retrospectively to the 2009 influenza pandemic and 2014 Ebola epidemic to show that key epidemic parameters could be robustly estimated in real-time from public data on local and global spread at very low computational cost. Our framework not only elucidates the dynamics underlying global spread of epidemics but also advances our capability in nowcasting and forecasting epidemics.

A: 1 - background, 2 - background, 3 - background, 4 - purpose, 5 - method, 6 - finding
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Q: Background: Hand hygiene is crucial for safe healthcare. Although the use of alcohol hand rubs is encouraged in clinics, there are few studies that focus on the proper use of alcohol hand rubs among nursing students. Objectives: The aim of this study is to evaluate the effectiveness of alcohol-based hand rub application and proper hand washing techniques which influence nursing students' hand hygiene compliance to make recommendations for future practice of hand hygiene training. Design: This cross-sectional study was carried out from May 3/June 3 2016 with the participation of 257 nursing students. Their hand hygiene techniques were analyzed using a UV lamp and an alcohol-based mix marked with fluorescence. Results: Of the participants, 77.0% were first-year students and 55.3% were males. The percentage of skin surface covered by alcohol-based hand rub was 82.0% on both hands. The lowest percentages of skin area covered by fluorescent-labelled hand rub were identified in the metacarpal area near the wrist and thumbs. While there was a difference between points for using proper hand-rub technique on the dorsal and palmar surfaces of the hands (p < 0.01), no difference was determined between the right and left hands (p > 0.05). It was found that the largest fluorescent remains were on fingers after hand-washing, and there was a difference in terms of hand-washing points between right-left hands and dorsal-palmar surfaces (p < 0.01). Conclusions: There is a need to improve nursing students' compliance with hand hygiene. It is suggested that the use of hand-rub among students should be popularized, and new techniques that prevent the frequently omitted areas of the hands should be integrated into the curriculum.

A:
1 - background, 2 - background, 3 - background, 4 - purpose, 5 - method, 6 - method, 7 - finding, 8 - finding, 9 - finding, 10 - finding, 11 - finding, 12 - finding, 13 - finding, 14 - finding, 15 - finding, 16 - finding, 17 - finding
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