About: Spatial and Temporal Epidemiology of Lumpy Skin Disease in the Middle East, 2012

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About: Spatial and Temporal Epidemiology of Lumpy Skin Disease in the Middle East, 2012–2015 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	Spatial and Temporal Epidemiology of Lumpy Skin Disease in the Middle East, 2012–2015
Creator	Alkhamis, Mohammad Vanderwaal, Kimberly Lyons, Nick
Source	Medline; PMC
abstract	Lumpy skin disease virus (LSDV) is an infectious disease of cattle that can have severe economic implications. New LSD outbreaks are currently circulating in the Middle East (ME). Since 2012, severe outbreaks were reported in cattle across the region. Characterizing the spatial and temporal dynamics of LSDV in cattle populations is prerequisite for guiding successful surveillance and control efforts at a regional level in the ME. Here, we aim to model the ecological niche of LSDV and identify epidemic progression patterns over the course of the epidemic. We analyzed publically available outbreak data from the ME for the period 2012–2015 using presence-only maximum entropy ecological niche modeling and the time-dependent method for the estimation of the effective reproductive number (R-TD). High-risk areas (probability >0.60) for LSDV identified by ecological niche modeling included parts of many northeastern ME countries, though Israel and Turkey were estimated to be the most suitable locations for occurrence of LSDV outbreaks. The most important environmental predictors that contributed to the ecological niche of LSDV included annual precipitation, land cover, mean diurnal range, type of livestock production system, and global livestock densities. Average monthly effective R-TD was equal to 2.2 (95% CI: 1.2, 3.5), whereas the largest R-TD was estimated in Israel (R-TD = 22.2, 95 CI: 15.2, 31.5) in September 2013, which indicated that the demographic and environmental conditions during this period were suitable to LSDV super-spreading events. The sharp drop of Isreal’s inferred R-TD in the following month reflected the success of their 2013 vaccination campaign in controlling the disease. Our results identified areas in which underreporting of LSDV outbreaks may have occurred. More epidemiological information related to cattle populations are needed to further improve the inferred spatial and temporal characteristics of currently circulating LSDV. However, the methodology presented here may be useful in guiding the design of risk-based surveillance and control programs in the region as well as aid in the formulation of epidemic preparedness plans in neighboring LSDV-free countries.
has issue date	2016-03-03(xsd:dateTime)
bibo:doi	10.3389/fvets.2016.00019
bibo:pmid	26973845
has license	cc-by
sha1sum (hex)	64f5af205494b75764762ed86fd202387c77b0b7
schema:url	https://doi.org/10.3389/fvets.2016.00019
resource representing a document's title	Spatial and Temporal Epidemiology of Lumpy Skin Disease in the Middle East, 2012–2015
has PubMed Central identifier	PMC4776163
has PubMed identifier	26973845
schema:publication	Front Vet Sci
resource representing a document's body	covid:64f5af205494b75764762ed86fd202387c77b0b7#body_text
is schema:about of	named entity 'populations' named entity 'period' named entity 'identified' named entity 'epidemic' named entity 'ecological niche' named entity 'outbreaks' named entity 'improve' named entity 'data' named entity 'Turkey' named entity 'estimated' named entity 'Lumpy' named entity 'TIME' named entity 'MEAN' named entity '1.2' named entity 'PARTS' named entity 'REPRODUCTIVE' named entity 'ENVIRONMENTAL' named entity 'NICHE' named entity 'SYSTEM' named entity 'SUITABLE' named entity 'MAXIMUM' named entity 'INFORMATION' named entity 'INDICATED' named entity 'EVENTS' named entity 'OUTBREAKS' named entity 'GUIDING' named entity 'AREAS' named entity 'CONTROLLING' named entity 'DESIGN' named entity 'IDENTIFY' named entity 'PRESENCE' named entity 'OUTBREAK' named entity 'DENSITIES' named entity 'SUPER' named entity 'HIGH-RISK' named entity 'IDENTIFIED BY' named entity 'ESTIMATION' named entity 'CIRCULATING' named entity 'LUMPY SKIN DISEASE VIRUS' named entity 'MONTHLY' named entity 'RANGE' named entity 'MAY HAVE' named entity '2015' named entity 'IDENTIFIED' named entity 'DEPENDENT' named entity 'TYPE' named entity 'LSD' named entity 'TEMPORAL' named entity 'LIVESTOCK PRODUCTION' named entity 'PATTERNS' named entity 'RELATED' named entity 'LAND COVER' named entity 'LARGEST' named entity 'THEIR' named entity 'ANALYZED' named entity 'INFECTIOUS DISEASE' named entity 'SEPTEMBER' named entity 'REGION' named entity 'CURRENTLY' named entity 'INFERRED' named entity 'FORMULATION' named entity 'NEEDED' named entity 'LIVESTOCK' named entity 'SURVEILLANCE' named entity 'NORTHEASTERN' named entity 'OCCURRENCE' named entity 'DYNAMICS' named entity 'IMPORTANT' named entity 'ACROSS' named entity 'EQUAL TO' named entity 'MODELING' named entity 'BASED' named entity 'PROGRAMS' named entity 'SUCCESSFUL' named entity 'NUMBER' named entity 'ECOLOGICAL' named entity 'CITATION' named entity 'EPIDEMIOLOGY' named entity 'USING'

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