instruction:
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.
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Background. The severe acute respiratory syndrome (SARS) epidemic that occurred in Hong Kong in 2003 caused serious public health consequences. Its impacts on health-seeking behaviors of the general public have not been assessed. Methods. Two cross-sectional, random telephone surveys interviewed 1603 Hong Kong adult residents in the post-SARS epidemic period, June and September 2003 to investigate changes in the post-SARS period. Results. Noteworthy percentages of the respondents self-reported increased frequencies of practicing favorable health-seeking behaviors in June 2003, as compared with the pre-SARS period. Few respondents reported the opposite. This was observed in different dimensions: health services seeking, adoption of healthier lifestyle, spending more resources on health, adoption of good personal hygiene, mask use when ill with influenza, and avoidance of risk behaviors. The frequencies of practicing most of these health-seeking behaviors, as measured in June and September 2003, were comparable. Further increases in healthy diet and weight control, etc., were observed during that period. Those who worried about contracting SARS were more likely to have improved health-seeking behaviors. Conclusions. The community in Hong Kong responded to the SARS epidemic by practicing more favorable health-seeking behaviors. Public health workers should utilize these opportunities to foster favorable changes. D
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Impacts of SARS on health-seeking behaviors in general population in Hong Kong


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Many factors influence the choice of methods used to develop antibody to infectious agents. In this paper, we review the current status of the main technologies used to produce monoclonal antibodies (mAbs) from the B cells of antigen-sensitized animals. While companies are adopting advanced high-throughput methods, the major technologies used by veterinary and medical research laboratories are classical hybridoma fusion and recombinant library selection techniques. These methods have inherent advantages and limitations but have many common aspects when using immunized rodents. Laboratories with expertise in both methods of antibody development have a distinct advantage in their ability to advance mAb technology. New and re-emerging infectious threats in todayÕs world emphasize the need for quality immunoreagents and the need to maintain expertise in mAb development. We provide examples of some common applications for mAb reagents used to identify pathogens such as the SARS-coronavirus (SARS-CoV), Bacillus anthracis, and foot-and-mouth disease (FMD) virus. We also outline a framework for investigators to make rational decisions concerning which method to use to develop mAbs based upon characteristics of the pathogen under study and the intended downstream application. Lastly, we provide parameters for the immunisation of mice and a classification system which describes the expected outcome for mAb development strategies when using classes of immunogens to generate mAbs with desired activities. Crown Abbreviations: mAb; monoclonal antibody; SARS-CoV; severe acute respiratory syndrome coronavirus; FMD virus; foot-and-mouth disease virus; PA; protective antigen of Bacillus anthracis; BSA; bovine serum albumin; FBS; fetal bovine serum; HAT; hypoxanthine-aminopterin-thymidine; scFv; single chain variable fragment; Fab; fragment responsible for antigen binding; PBL; peripheral blood leucocytes; VP-1; viral protein 1 or 1D viral protein of FMD virus; IEM; immuno-electron microscopy; IHC; immunohistochemistry; IFA; immunoflourescence; V-genes; immunoglobulin variable region genes, responsible for encoding the antigen contact domains. *
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Rational monoclonal antibody development to emerging pathogens, biothreat agents and agents of foreign animal disease: The antigen scale


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Ecological niche modeling (ENM) is widely employed in ecology to predict species' potential geographic distributions in relation to their environmental constraints and is rapidly becoming the gold-standard method for disease risk mapping. However, given the biological complexity of disease systems, the traditional ENM framework requires reevaluation. We provide an overview of the application of ENM to disease systems and propose a theoretical framework based on the biological properties of both hosts and parasites to produce reliable outputs resembling disease system distributions. Additionally, we discuss the differences between biological considerations when implementing ENM for distributional ecology and epidemiology. This new framework will help the field of disease ecology and applications of biogeography in the epidemiology of infectious diseases. The recent rise of emerging infectious diseases (EIDs) (see Glossary) [1] has increased the burden of infectious diseases and negatively impacted the global economy [2][3][4] [5] . Approximately 60% of emerging human diseases are caused by pathogenic parasites of animal origin (zoonoses), particularly wildlife [6] . As human activities intensify, contact with wildlife and exposure to novel parasites increase, potentially driving zoonotic disease emergence [1, 7] . Given the threat that EIDs pose to human populations, understanding the underlying drivers of parasite geographic distribution and their spillover to humans is particularly relevant for epidemiologists, public-health practitioners, and policy makers [9] . Ecological niche modeling (ENM) has proven useful to forecast the distribution of a vast number of organisms [10-13] and is increasingly employed to predict parasite distributions locally and globally [14] [15] [16] [17] . Despite great strides made in the implementation of ENM to forecast complex biological phenomena such as disease systems [18], traditional frameworks may render biologically unrealistic predictions and thus must be revised, as we show in this review. We provide an overview of the current state of disease ENM and propose a framework based on the biological properties of both parasites and hosts to produce reliable outputs resembling disease systems distributions. Specifically, our theoretical framework: (i) addresses the selection of an appropriate modeling approach and highlights the importance of including biologically sound predictor variables; (ii) proposes the concept of a microscale parasitic niche defined by host traits to identify relevant parasite-host associations; and (iii) integrates traditional parasite ENM with the proposed microscale niche to better understand geographic distributions and improve fine-scale predictions of disease transmission risk. ENM estimates the distributions of species by linking their geographic occurrence with their environmental constraints, often utilizing correlative approaches (detailed explanations in [18] ). Highlights
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An Ecological Framework for Modeling the Geography of Disease Transmission