Selected article for: "contact tracing and human human"
Author: Monique R. Ambrose; Adam J. Kucharski; Pierre Formenty; Jean-Jacques Muyembe-Tamfum; Anne W. Rimoin; James O. Lloyd-Smith
Title: Quantifying transmission of emerging zoonoses: Using mathematical models to maximize the value of surveillance data
  • Document date: 2019_6_19
    • ID: f14u2sz5_31
    Snippet: We applied the method to a rich surveillance dataset of human monkeypox in the Congo 544 basin from the 1980s and found that human-to-human transmission of monkeypox between 545 localities plays an important role in the pathogen's spread. Of the four assumptions we tested for 546 the spatial scale of the broader contact zone, the district-level model was best supported by DIC 547 model comparisons and validation with contact-tracing. In addition,.....
    Document: We applied the method to a rich surveillance dataset of human monkeypox in the Congo 544 basin from the 1980s and found that human-to-human transmission of monkeypox between 545 localities plays an important role in the pathogen's spread. Of the four assumptions we tested for 546 the spatial scale of the broader contact zone, the district-level model was best supported by DIC 547 model comparisons and validation with contact-tracing. In addition, the signal of elevated inter-548 locality transmission occurring over ≤ 30 kilometers suggests that most inter-locality 549 transmissions occur in a relatively small neighborhood, consistent with the limited transportation 550 infrastructure in the DRC. This further corroborates that the district-level model, which is the 551 smallest spatial aggregation scale that still permits inter-locality transmission, is likely the most 552 appropriate choice for capturing inter-locality transmission patterns of human monkeypox. 553

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