Last data update: Sep 23, 2024. (Total: 47723 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Marchbanks TL [original query] |
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Role of social networks in shaping disease transmission during a community outbreak of 2009 H1N1 pandemic influenza
Cauchemez S , Bhattarai A , Marchbanks TL , Fagan RP , Ostroff S , Ferguson NM , Swerdlow D . Proc Natl Acad Sci U S A 2011 108 (7) 2825-30 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. |
Serial intervals and the temporal distribution of secondary infections within households of 2009 pandemic influenza A (H1N1): implications for | influenza control recommendations
Donnelly CA , Finelli L , Cauchemez S , Olsen SJ , Doshi S , Jackson ML , Kennedy E , Kamimoto L , Marchbanks TL , Morgan OW , Patel M , Swerdlow DL , Ferguson NM . Clin Infect Dis 2011 52 S123-S130 A critical issue during the 2009 influenza A (H1N1) pandemic was determining the appropriate duration of time individuals with influenza-like illness (ILI) should remain isolated to reduce onward transmission while limiting societal disruption. Ideally this is based on knowledge of the relative infectiousness of ill individuals at each point during the course of the infection. Data on 261 clinically apparent pH1N1 infector-infectee pairs in households, from 7 epidemiological studies conducted in the United States early in 2009, were analyzed to estimate the distribution of times from symptom onset in an infector to symptom onset in the household contacts they infect (mean, 2.9 days, not correcting for tertiary transmission). Only 5% of transmission events were estimated to take place .3 days after the onset of clinical symptoms among those ill with pH1N1 virus. These results will inform future recommendations on duration of isolation of individuals with ILI. |
An outbreak of 2009 pandemic influenza A (H1N1) virus infection in an elementary school in Pennsylvania
Marchbanks TL , Bhattarai A , Fagan RP , Ostroff S , Sodha SV , Moll ME , Lee BY , Chang CCH , Ennis B , Britz P , Fiore A , Nguyen M , Palekar R , Archer WR , Gift TL , Leap R , Nygren BL , Cauchemez S , Angulo FJ , Swerdlow D . Clin Infect Dis 2011 52 S154-S160 In May 2009, one of the earliest outbreaks of 2009 pandemic influenza A virus (pH1N1) infection resulted in the closure of a semi-rural Pennsylvania elementary school. Two sequential telephone surveys were administered to 1345 students (85% of the students enrolled in the school) and household members in 313 households to collect data on influenza-like illness (ILI). A total of 167 persons (12.4%) among those in the surveyed households, including 93 (24.0%) of the School A students, reported ILI. Students were 3.1 times more likely than were other household members to develop ILI (95% confidence interval [CI], 2.3-4.1). Fourth-grade students were more likely to be affected than were students in other grades (relative risk, 2.2; 95% CI, 1.2-3.9). pH1N1 was confirmed in 26 (72.2%) of the individuals tested by real-time reverse-transcriptase polymerase chain reaction. The outbreak did not resume upon the reopening of the school after the 7-day closure. This investigation found that pH1N1 outbreaks at schools can have substantial attack rates; however, grades and classrooms are affected variably. Additioanl study is warranted to determine the effectiveness of school closure during outbreaks. |
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