A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Spatio-temporal modeling of co-dynamics of smallpox, measles, and pertussis in pre-healthcare Finland (2024)


Pasanen, T.-M., Helske, J., Högmander, H., & Ketola, T. (2024). Spatio-temporal modeling of co-dynamics of smallpox, measles, and pertussis in pre-healthcare Finland. PeerJ, 12, Article e18155. https://doi.org/10.7717/peerj.18155


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatPasanen, Tiia-Maria; Helske, Jouni; Högmander, Harri; Ketola, Tarmo

Lehti tai sarjaPeerJ

eISSN2167-8359

Julkaisuvuosi2024

Ilmestymispäivä26.09.2024

Volyymi12

Artikkelinumeroe18155

KustantajaPeerJ Inc.

JulkaisumaaYhdysvallat (USA)

Julkaisun kielienglanti

DOIhttps://doi.org/10.7717/peerj.18155

Linkki tutkimusaineistoonhttps://github.com/tihepasa/infectionDynamics/releases/tag/v2.0.2

Julkaisun avoin saatavuusAvoimesti saatavilla

Julkaisukanavan avoin saatavuusKokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/97610

Rinnakkaistallenteen verkko-osoite (pre-print) https://doi.org/10.48550/arXiv.2310.06538


Tiivistelmä

Infections are known to interact as previous infections may have an effect on risk of succumbing to a new infection. The co-dynamics can be mediated by immunosuppression or modulation, shared environmental or climatic drivers, or competition for susceptible hosts. Research and statistical methods in epidemiology often concentrate on large pooled datasets, or high quality data from cities, leaving rural areas underrepresented in literature. Data considering rural populations are typically sparse and scarce, especially in the case of historical data sources, which may introduce considerable methodological challenges. In order to overcome many obstacles due to such data, we present a general Bayesian spatio-temporal model for disease co-dynamics. Applying the proposed model on historical (1820–1850) Finnish parish register data, we study the spread of infectious diseases in pre-healthcare Finland. We observe that measles, pertussis, and smallpox exhibit positively correlated dynamics, which could be attributed to immunosuppressive effects or, for example, the general weakening of the population due to recurring infections or poor nutritional conditions.


YSO-asiasanatinfektiothinkuyskäisorokkotuhkarokkobayesilainen menetelmäkirkonkirjatepidemiatepidemiologia

Vapaat asiasanatspatio-temporal; infection co-dynamics; pertussis; measles; smallpox; bayesian analysis


Liittyvät organisaatiot


Hankkeet, joissa julkaisu on tehty


OKM-raportointiKyllä

VIRTA-lähetysvuosi2024

Alustava JUFO-taso1


Viimeisin päivitys 2024-02-11 klo 20:06