A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
A mechanistic underpinning for sigmoid dose-dependent infection (2017)
Anttila, J., Mikonranta, L., Ketola, T., Kaitala, V., Laakso, J., & Ruokolainen, L. (2017). A mechanistic underpinning for sigmoid dose-dependent infection. Oikos, 126(6), 910-916. https://doi.org/10.1111/oik.03242
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Anttila, Jani; Mikonranta, Lauri; Ketola, Tarmo; Kaitala, Veijo; Laakso, Jouni; Ruokolainen, Lasse
Lehti tai sarja: Oikos
ISSN: 0030-1299
eISSN: 1600-0706
Julkaisuvuosi: 2017
Volyymi: 126
Lehden numero: 6
Artikkelin sivunumerot: 910-916
Kustantaja: Wiley-Blackwell Publishing, Inc.; Nordic Society Oikos
Julkaisumaa: Britannia
Julkaisun kieli: englanti
DOI: https://doi.org/10.1111/oik.03242
Linkki tutkimusaineistoon: http://dx.doi.org/10.5061/dryad.8t8dh
Julkaisun avoin saatavuus: Ei avoin
Julkaisukanavan avoin saatavuus:
Tiivistelmä
Theoretical models of environmentally transmitted diseases often assume that transmission is a constant process, which scales linearly with pathogen dose. Here we question the applicability of such an assumption and propose a sigmoidal form for the pathogens infectivity response. In our formulation, this response arises under two assumptions: 1) multiple invasion events are required for a successful pathogen infection and 2) the host invasion state is reversible. The first assumption reduces pathogen infection rates at low pathogen doses, while the second assumption, due to host immune function, leads to a saturating infection rate at high doses. The derived pathogen dose:infection rate relationship was tested against an experimental data on host mortality rates across different pathogen doses. Compared to two simpler alternatives, the sigmoidal function gave a better fit to patterns in host mortality rate (process), as well as host mortality (endpoint). Combining these alternative approaches made us more confident to conclude that the proposed model for disease transmission is theoretically sound, provides a good description of the data at hand, and is likely to be useful in developing more reliable models for infectious diseases.
YSO-asiasanat: infektiot; tartuntataudit
Vapaat asiasanat: environmentally transmitted diseases
Liittyvät organisaatiot
Hankkeet, joissa julkaisu on tehty
- Evoluutiolla pelastettu, vanhoilla sopeumilla autettu
- Ketola, Tarmo
- Suomen Akatemia
OKM-raportointi: Kyllä
Raportointivuosi: 2017
JUFO-taso: 2