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.

Q: Human metapneumovirus (hMPV) and respiratory syncytial virus (RSV) are important respiratory pathogens with similar symptomatology. The aim of this prospective birth cohort study was to identify risk factors for an hMPV or RSV infection during the first year of life in unselected healthy children. We followed 217 children from birth to 1 year of age. Nasal swabs and symptom diaries were collected monthly. Anti-hMPV and anti-RSV IgG antibodies by age 1 year were detected by ELISA, and nasal swabs were analysed for hMPV and RSV by RT-PCR. Logistic regression was used for risk factor analysis. Anti-hMPV IgG was found in 38 children (17.5%), and anti-RSV IgG in 172 children (79%). Risk factors for being anti-hMPV IgG-positive were: (1) being born in the spring (OR =2.36; 95% CI:1.06-5.27), and (2) having older siblings (OR=3.82; 95% CI:1.75-8.34). Risk factors for being anti-RSV IgG-positive were: (1) gestational age <38 weeks (OR=3.39; 95% CI:1.42-8.05), (2) increasing paternal age (OR=1.85 per 5 yrs; 95% CI:1.28-2.68), and (3) wall-to-wall carpeting (OR=3.15; 95% CI:1.29-7.68). Being born in the spring was associated with decreased odds of being anti-RSV IgG-positive (OR=0.27, 95% CI:0.09-0.85). Risk factors for RSV hospitalisation (n= 11) were: (1) older siblings (OR=4.49; 95% CI: 1.08-18.73) and (2) smoking in the household (OR=5.06; 95% CI: 1.36-18.76). Exclusive breastfeeding for the first 14 days of life protected against hospitalisation (OR= 0.21; 95% CI:0.06-0.79). In conclusion, this study identifies risk factors for mild and asymptomatic hMPV infections in infancy. Abbreviations hMPV human metapneumovirus RSV respiratory syncytial virus OR odds ratio PBS phosphate-buffered saline NPA nasopharyngeal aspirate RT-PCR reverse transcription-polymerase chain reaction ELISA enzyme-linked immunosorbent assay RT room temperature M-PBS PBS with 2% skim-milk powder HRP horseradish peroxidase TMB tetramethyl benzidine OD optical density SD standard deviation PDV Phocine Distemper Virus Eur

A: A community study of clinical traits and risk factors for human metapneumovirus and respiratory syncytial virus infection during the first year of life
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Q: Background: In this study we sought to evaluate the association between viral bronchiolitis, weather conditions, and air pollution in an urban area in Italy. Methods: We included infants hospitalized for acute bronchiolitis from 2004 to 2014. All infants underwent a nasal washing for virus detection. A regional agency network collected meteorological data (mean temperature, relative humidity and wind velocity) and the following air pollutants: sulfur dioxide, nitrogen oxide, carbon monoxide, ozone, benzene and suspended particulate matter measuring less than 10 m (PM 10 ) and less than 2.5 m (PM 2.5 ) in aerodynamic diameter. We obtained mean weekly concentration data for the day of admission, from the urban background monitoring sites nearest to each child's home address. Overdispersed Poisson regression model was fitted and adjusted for seasonality of the respiratory syncytial virus (RSV) infection, to evaluate the impact of individual characteristics and environmental factors on the probability of a being positive RSV. Results: Of the 723 nasal washings from the infants enrolled, 266 (68%) contained RSV, 63 (16.1%) rhinovirus, 26 (6.6%) human bocavirus, 20 (5.1%) human metapneumovirus, and 16 (2.2%) other viruses. The number of RSV-positive infants correlated negatively with temperature (p < 0.001), and positively with relative humidity (p < 0.001). Air pollutant concentrations differed significantly during the peak RSV months and the other months. Benzene concentration was independently associated with RSV incidence (p = 0.0124). Conclusions: Seasonal weather conditions and concentration of air pollutants seem to influence RSV-related bronchiolitis epidemics in an Italian urban area.

A: Respiratory syncytial virus bronchiolitis, weather conditions and air pollution in an Italian urban area: An observational study
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Q: Background: The transmission of infectious disease amongst the human population is a complex process which requires advanced, often individual-based, models to capture the space-time details observed in reality. Methods: An Individual Space-Time Activity-based Model (ISTAM) was applied to simulate the effectiveness of non-pharmaceutical control measures including: (1) refraining from social activities, (2) school closure and (3) household quarantine, for a hypothetical influenza outbreak in an urban area. Results: Amongst the set of control measures tested, refraining from social activities with various compliance levels was relatively ineffective. Household quarantine was very effective, especially for the peak number of cases and total number of cases, with large differences between compliance levels. Household quarantine resulted in a decrease in the peak number of cases from more than 300 to around 158 for a 100% compliance level, a decrease of about 48.7%. The delay in the outbreak peak was about 3 to 17 days. The total number of cases decreased to a range of 3635-5403, that is, 63.7%-94.7% of the baseline value. When coupling control measures, household quarantine together with school closure was the most effective strategy. The resulting space-time distribution of infection in different classes of activity bundles (AB) suggests that the epidemic outbreak is strengthened amongst children and then spread to adults. By sensitivity analysis, this study demonstrated that earlier implementation of control measures leads to greater efficacy. Also, for infectious diseases with larger basic reproduction number, the effectiveness of non-pharmaceutical measures was shown to be limited. Conclusions: Simulated results showed that household quarantine was the most effective control measure, while school closure and household quarantine implemented together achieved the greatest benefit. Agent-based models should be applied in the future to evaluate the efficacy of control measures for a range of disease outbreaks in a range of settings given sufficient information about the given case and knowledge about the transmission processes at a fine scale.

A:
Analysis of CDC social control measures using an agent-based simulation of an influenza epidemic in a city
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