No abstract

Evaluating the impact of different social networks on the spread of respiratory diseases has been limited by a lack of detailed data on transmission outside the household setting as well as appropriate statistical methods. Here, from data collected during a H1N1 pandemic (pdm) influenza outbreak that started in an elementary school and spread in a semirural community in Pennsylvania, we quantify how transmission of influenza is affected by social networks. We set up a transmission model for which parameters are estimated from the data via Markov chain Monte Carlo sampling. Sitting next to a case or being the playmate of a case did not significantly increase the risk of infection; but the structuring of the school into classes and grades strongly affected spread. There was evidence that boys were more likely to transmit influenza to other boys than to girls (and vice versa), which mimicked the observed assortative mixing among playmates. We also investigated the presence of abnormally high transmission occurring on specific days of the outbreak. Late closure of the school (i.e., when 27% of students already had symptoms) had no significant impact on spread. School-aged individuals (6-18 y) facilitated the introduction and spread of influenza in households, but only about one in five cases aged >18 y was infected by a school-aged household member. This analysis shows the extent to which clearly defined social networks affect influenza transmission, revealing strong between-place interactions with back-and-forth waves of transmission between the school, the community, and the household.here is a large body of theoretical literature on how social networks and population structures may affect the spread of communicable diseases and hence influence the design of optimal control strategies (1-8). Such work often makes use of detailed data on populations (e.g., demographics in households, schools, and workplaces; mobility and land-use data; contact surveys; or time-use data) but then makes assumptions about how transmission rates change with the type of interaction (e.g., as a function of the setting and the spatial or social distance between individuals, etc.).

Our study showed that plasma OxLDL levels and low-grade systemic inflammation are increased in men with a high visceral adipose tissue accumulation. Furthermore, our results support the notion that insulin resistance is associated with endothelial activation. Overall, our observations give us further insights on the increased cardiovascular disease risk frequently noted among viscerally obese, insulin-resistant individuals.

We conducted a case–control study to investigate factors associated with epidemic cholera. Water treatment and handwashing may have been protective, highlighting the need for personal hygiene for cholera prevention in contaminated urban environments. We also found a diverse diet, a possible proxy for improved nutrition, was protective against cholera.

The aim of this study was to investigate the extent to which inflammation is linked with plasma endothelial lipase (EL) concentrations among healthy sedentary men. Plasma C-reactive protein (CRP) concentrations were measured with a highly sensitive commercial immunoassay, plasma interleukin-6 (IL-6) concentrations were measured using a commercial ELISA, and plasma secretory phospholipase A 2 type IIA (sPLA 2 -IIA) concentrations were measured using a commercial assay in a sample of 74 moderately obese men (mean body mass index, 29.8 6 5.2 kg/m 2 ). Plasma EL concentrations were positively correlated with various indices of obesity, fasting plasma insulin, and plasma CRP, IL-6, and sPLA 2 -IIA concentrations. Multiple regression analyses revealed that plasma CRP concentrations explained 14.5% (P 5 0.0008) of the variance in EL concentrations. When entered into the model, LPL activity accounted for 16.1% (P , 0.0001) and plasma CRP concentrations accounted for 20.9% (P , 0.0001) of the variance in EL concentrations. The combined impact of visceral adipose tissue (VAT) and of an inflammation score on EL concentrations was investigated. Among subjects with high or low VAT, those having a high inflammation score based on plasma CRP, IL-6, and sPLA 2 -IIA concentrations had increased plasma EL concentrations (P 5 0.0005).In conclusion, our data reveal a strong association between proinflammatory cytokines and plasma EL concentrations among healthy people with low or high VAT levels.-