Cargando…
Investigating seasonal patterns in enteric infections: a systematic review of time series methods
Foodborne and waterborne gastrointestinal infections and their associated outbreaks are preventable, yet still result in significant morbidity, mortality and revenue loss. Many enteric infections demonstrate seasonality, or annual systematic periodic fluctuations in incidence, associated with climat...
Autores principales: | Simpson, Ryan B., Kulinkina, Alexandra V., Naumova, Elena N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915194/ https://www.ncbi.nlm.nih.gov/pubmed/35249590 http://dx.doi.org/10.1017/S0950268822000243 |
Ejemplares similares
-
Effects of Data Aggregation on Time Series Analysis of Seasonal Infections
por: Alarcon Falconi, Tania M., et al.
Publicado: (2020) -
Agglomerative Clustering of Enteric Infections and Weather Parameters to Identify Seasonal Outbreaks in Cold Climates
por: Stashevsky, Pavel S., et al.
Publicado: (2019) -
Seasonality of water quality and diarrheal disease counts in urban and rural settings in south India
por: Kulinkina, Alexandra V., et al.
Publicado: (2016) -
Seasonal synchronization of foodborne outbreaks in the United States, 1996–2017
por: Simpson, Ryan B., et al.
Publicado: (2020) -
An analecta of visualizations for foodborne illness trends and seasonality
por: Simpson, Ryan B., et al.
Publicado: (2020)