About: Structure, space and size: competing drivers of variation in urban and rural measles transmission

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About: Structure, space and size: competing drivers of variation in urban and rural measles transmission Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Structure, space and size: competing drivers of variation in urban and rural measles transmission
Creator	Grenfell, Bryan Metcalf, C Korevaar, Hannah
Source	Medline; PMC
abstract	A key concern in public health is whether disparities exist between urban and rural areas. One dimension of potential variation is the transmission of infectious diseases. In addition to potential differences between urban and rural local dynamics, the question of whether urban and rural areas participate equally in national dynamics remains unanswered. Specifically, urban and rural areas may diverge in local transmission as well as spatial connectivity, and thus risk for receiving imported cases. Finally, the potential confounding relationship of spatial proximity with size and urban/rural district type has not been addressed by previous research. It is rare to have sufficient data to explore these questions thoroughly. We use exhaustive weekly case reports of measles in 954 urban and 468 rural districts of the UK (1944–1965) to compare both local disease dynamics as well as regional transmission. We employ the time-series susceptible–infected–recovered model to estimate disease transmission, epidemic severity, seasonality and import dependence. Congruent with past results, we observe a clear dependence on population size for the majority of these measures. We use a matched-pair strategy to compare proximate urban and rural districts and control for possible spatial confounders. This analytical strategy reveals a modest difference between urban and rural areas. Rural areas tend to be characterized by more frequent, smaller outbreaks compared to urban counterparts. The magnitude of the difference is slight and the results primarily reinforce the importance of population size, both in terms of local and regional transmission. In sum, urban and rural areas demonstrate remarkable epidemiological similarity in this recent UK context.
has issue date	2020-07-08(xsd:dateTime)
bibo:doi	10.1098/rsif.2020.0010
bibo:pmid	32634366
has license	cc-by
sha1sum (hex)	4d77e963e33a983276f97536f65f3313834e66b2
schema:url	https://doi.org/10.1098/rsif.2020.0010
resource representing a document's title	Structure, space and size: competing drivers of variation in urban and rural measles transmission
has PubMed Central identifier	PMC7423418
has PubMed identifier	32634366
schema:publication	J R Soc Interface
resource representing a document's body	covid:4d77e963e33a983276f97536f65f3313834e66b2#body_text
is schema:about of	named entity 'urban' named entity 'measles' named entity 'Rural' named entity 'DISEASE TRANSMISSION' named entity 'SMALLER' named entity 'OUTBREAKS' named entity 'POTENTIAL' named entity 'REVEALS' named entity 'WITH SIZE' named entity 'CASES' named entity 'CONTEXT' named entity 'THESE' named entity 'STRATEGY' named entity 'RECEIVING' named entity 'PAST' named entity 'TRANSMISSION' covid:arg/4d77e963e33a983276f97536f65f3313834e66b2 named entity 'disease transmission' named entity 'One dimension' named entity 'employ' named entity 'transmission' named entity 'rural areas' named entity 'demonstrate' named entity 'rural areas' named entity 'rural' named entity 'disease' named entity 'variation' named entity 'strategy' named entity 'clear' named entity 'confounders' named entity 'urban' named entity 'rural areas' named entity 'confounders' named entity 'epidemiological' named entity 'rural areas' named entity 'epidemic' named entity 'confounding' named entity 'local transmission' named entity 'slight' named entity 'control' named entity 'risk' named entity 'urban area' named entity 'urban areas' named entity 'London' named entity 'vaccination' named entity 'disease transmission' named entity 'sub-Saharan' named entity 'spatially correlated' named entity 'SIR model' named entity 'rural areas' named entity 'rural areas' named entity 'London' named entity 'population densities' named entity 'pathogen' named entity 'population dynamics' named entity 'binomial process' named entity 'probability' named entity 'leads and lags' named entity 'epidemiological' named entity 'diffusion' named entity 'endemic' named entity 'vaccination' named entity 'transmission rate' named entity 'birth rates' named entity 'school age' named entity 'endemic' named entity 'rural areas' named entity 'vaccine' named entity 'urban areas' named entity 'E&W' named entity 'epidemic' named entity 'measles' named entity 'confounding factors' named entity 'human disease' named entity 'malaria' named entity 'rural areas' named entity 'epidemic' named entity 'urban and rural health' named entity 'growth rates'

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