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.

Ex Input:
Bacterial and viral infections occur early and recurrently in life and thereby impose a substantial disease burden. Besides causing clinical symptoms, a potential role of infection in the development of the asthma syndrome later in life has also been suggested. However, whether bacterial and viral infections unmask host factors in children at risk of asthma or whether they directly cause asthma remains unclear; both viewpoints could be justifi ed, but the underlying mechanisms are complex and poorly understood. Recently, the role of the bacterial microbiome has been emphasised. But data are still sparse and future studies are needed for defi nitive conclusions to be made. In this Review, we discuss present knowledge of viruses and bacteria that infect and colonise the respiratory tract and mucosal surfaces, including their timepoint of action, host factors related to infection, and their eff ect on childhood asthma. Childhood asthma could be the result of a combination of altered host susceptibility and infectious agents.

Ex Output:
Prenatal and childhood infections: implications for the development and treatment of childhood asthma


Ex Input:
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

Ex Output:
Impacts of SARS on health-seeking behaviors in general population in Hong Kong


Ex Input:
The burden of vector-borne diseases (Dengue, Zika virus, yellow fever, etc.) gradually increased in the past decade across the globe. Mathematical modelling on infectious diseases helps to study the transmission dynamics of the pathogens. Theoretically, the diseases can be controlled and eventually eradicated by maintaining the effective reproduction number, (R eff ), strictly less than 1. We established a vector-host compartmental model, and derived (R eff ) for vector-borne diseases. The analytic form of the (R eff ) was found to be the product of the basic reproduction number and the geometric average of the susceptibilities of the host and vector populations. The (R eff ) formula was demonstrated to be consistent with the estimates of the 2015-2016 yellow fever outbreak in Luanda, and distinguished the second minor epidemic wave. For those using the compartmental model to study the vector-borne infectious disease epidemics, we further remark that it is important to be aware of whether one or two generations is considered for the transition ''from host to vector to host'' in reproduction number calculation.

Ex Output:

Distributed under Creative Commons CC-BY 4.0 Modelling the effective reproduction number of vector-borne diseases: the yellow fever outbreak in Luanda, Angola 2015-2016 as an example