tetano
Editor, Senior Moderator
Sci Rep. 2017 Feb 9;7:42012. doi: 10.1038/srep42012.
[h=1]Analysis of Influenza and RSV dynamics in the community using a 'Local Transmission Zone' approach.[/h] Almogy G[SUP]1,[/SUP][SUP]2[/SUP], Stone L[SUP]2,[/SUP][SUP]3[/SUP], Bernevig BA[SUP]4[/SUP], Wolf DG[SUP]5[/SUP], Dorozko M[SUP]5[/SUP], Moses AE[SUP]5[/SUP], Nir-Paz R[SUP]5[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Understanding the dynamics of pathogen spread within urban areas is critical for the effective prevention and containment of communicable diseases. At these relatively small geographic scales, short-distance interactions and tightly knit sub-networks dominate the dynamics of pathogen transmission; yet, the effective boundaries of these micro-scale groups are generally not known and often ignored. Using clinical test results from hospital admitted patients we analyze the spatio-temporal distribution of Influenza Like Illness (ILI) in the city of Jerusalem over a period of three winter seasons. We demonstrate that this urban area is not a single, perfectly mixed ecology, but is in fact comprised of a set of more basic, relatively independent pathogen transmission units, which we term here Local Transmission Zones, LTZs. By identifying these LTZs, and using the dynamic pathogen-content information contained within them, we are able to differentiate between disease-causes at the individual patient level often with near-perfect predictive accuracy.
PMID: 28181554 DOI: 10.1038/srep42012
[PubMed - in process]
[h=1]Analysis of Influenza and RSV dynamics in the community using a 'Local Transmission Zone' approach.[/h] Almogy G[SUP]1,[/SUP][SUP]2[/SUP], Stone L[SUP]2,[/SUP][SUP]3[/SUP], Bernevig BA[SUP]4[/SUP], Wolf DG[SUP]5[/SUP], Dorozko M[SUP]5[/SUP], Moses AE[SUP]5[/SUP], Nir-Paz R[SUP]5[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Understanding the dynamics of pathogen spread within urban areas is critical for the effective prevention and containment of communicable diseases. At these relatively small geographic scales, short-distance interactions and tightly knit sub-networks dominate the dynamics of pathogen transmission; yet, the effective boundaries of these micro-scale groups are generally not known and often ignored. Using clinical test results from hospital admitted patients we analyze the spatio-temporal distribution of Influenza Like Illness (ILI) in the city of Jerusalem over a period of three winter seasons. We demonstrate that this urban area is not a single, perfectly mixed ecology, but is in fact comprised of a set of more basic, relatively independent pathogen transmission units, which we term here Local Transmission Zones, LTZs. By identifying these LTZs, and using the dynamic pathogen-content information contained within them, we are able to differentiate between disease-causes at the individual patient level often with near-perfect predictive accuracy.
PMID: 28181554 DOI: 10.1038/srep42012
[PubMed - in process]