About: Temporal patterns and geographic heterogeneity of Zika virus (ZIKV) outbreaks in French Polynesia and Central America

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Temporal patterns and geographic heterogeneity of Zika virus (ZIKV) outbreaks in French Polynesia and Central America 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	Temporal patterns and geographic heterogeneity of Zika virus (ZIKV) outbreaks in French Polynesia and Central America
Creator	Hsieh, Ying-Hen
topic	covid:fcededebc295dbf0fa5130e94002b7fe0a921f51#this
Source	PMC
abstract	BACKGROUND: Zika virus (ZIKV) transmission has been reported in 67 countries/territories in the Oceania region and the Americas since 2015, prompting the World Health Organization (WHO) to declare ZIKV as a Public Health Emergency of International Concern in February 2016, due to its strong association with medical complications such as microcephaly and Guillain–Barré Syndrome (GBS). However, a substantial gap in knowledge still exists regarding differing temporal pattern and potential of transmission of ZIKV in different regions of the world. METHODS: We use a phenomenological model to ascertain the temporal patterns and transmission potential of ZIKV in various countries/territories, by fitting the model to Zika case data from Yap Island and French Polynesia in the Oceania region and 11 countries/territories with confirmed case data, namely, Colombia, Ecuador, French Guiana, Guadeloupe, Guatemala, Mexico, Nicaragua, Panama, Puerto Rico, Saint Martin, and Suriname, to pinpoint the waves of infections in each country/territory and to estimate the respective basic reproduction number R(0). RESULTS: Six of these time series datasets resulted in statistically significant model fit of at least one wave of reported cases, namely that of French Polynesia, Colombia, Puerto Rico, Guatemala, Suriname and Saint Martin. However, only Colombia and Guatemala exhibited two waves of cases while the others had only one wave. Temporal patterns of the second wave in Colombia and the single wave in Suriname are very similar, with the respective turning points separated by merely a week. Moreover, the mean estimates of R(0) for Colombia, Guatemala and Suriname, all land-based populations, range between 1.05 and 1.75, while the corresponding mean estimates for R(0) of island populations in French Polynesia, Puerto Rico and Saint Martin are significantly lower with a range of 5.70–6.89. We also fit the Richards model to Zika case data from six main archipelagos in French Polynesia, suggesting the outbreak in all six island populations occurred during the same time, albeit with different peak time, with mean R(0) range of 3.09–5.05. DISCUSSION: Using the same modeling methodology, in this study we found a significant difference between transmissibility (as quantified by R(0)) in island populations as opposed to land-based countries/territories, possibly suggesting an important role of geographic heterogeneity in the spread of vector-borne diseases and its future course, which requires further monitoring. Our result has potential implications for planning respective intervention and control policies targeted for island and land-based populations.
has issue date	2017-03-21(xsd:dateTime)
bibo:doi	10.7717/peerj.3015
bibo:pmid	28344900
has license	cc-by
sha1sum (hex)	fcededebc295dbf0fa5130e94002b7fe0a921f51
schema:url	https://doi.org/10.7717/peerj.3015
resource representing a document's title	Temporal patterns and geographic heterogeneity of Zika virus (ZIKV) outbreaks in French Polynesia and Central America
has PubMed Central identifier	PMC5363263
has PubMed identifier	28344900
schema:publication	PeerJ
resource representing a document's body	covid:fcededebc295dbf0fa5130e94002b7fe0a921f51#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/fcededebc295dbf0fa5130e94002b7fe0a921f51
is schema:about of	named entity 'FOUND' named entity 'STUDY' named entity 'REPORTED' named entity 'VECTOR-BORNE DISEASES' named entity 'INTERVENTION' named entity 'RESULT' named entity 'ESTIMATE' named entity 'MODELING' named entity 'USE' named entity '1.05' named entity 'GEOGRAPHIC' named entity 'CONFIRMED CASE' named entity 'PATTERNS' named entity 'ESTIMATES' named entity 'NICARAGUA' named entity 'DATA' named entity 'VARIOUS' named entity 'ROLE' named entity 'GUATEMALA' named entity 'SURINAME' named entity 'KNOWLEDGE' named entity 'SECOND' named entity 'TIME SERIES' named entity 'RANGE' named entity 'REGIONS' named entity 'EMERGENCY' named entity 'YAP ISLAND' named entity 'MAIN' named entity 'GUADELOUPE' named entity 'ITS' named entity 'MICROCEPHALY' named entity 'GAP' named entity 'MEXICO' named entity 'OUR' named entity 'STRONG' named entity 'POLICIES' named entity 'TRANSMISSION' named entity 'opposed' named entity 'strong' named entity 'phenomenological model' named entity 'Nicaragua' named entity 'time series' named entity 'Guatemala' named entity 'gap' named entity 'Results' named entity 'territories' named entity 'microcephaly' named entity 'ZIKA VIRUS' named entity 'ISLAND' named entity 'LOWER' named entity 'HETEROGENEITY' named entity 'PHENOMENOLOGICAL MODEL' named entity 'OCEANIA REGION' named entity 'PROMPTING' named entity 'OUTBREAK' named entity 'PUBLIC HEALTH' named entity 'RESULTS' named entity 'PINPOINT' named entity 'FRENCH GUIANA' named entity 'BARR' named entity 'MEDICAL' named entity 'TIME' named entity 'TEMPORAL' named entity 'STATISTICALLY SIGNIFICANT' named entity 'BACKGROUND' named entity 'WAVE' named entity 'POTENTIAL' named entity 'BASIC REPRODUCTION NUMBER' named entity 'DIFFERENT' named entity 'WAVES' named entity 'TARGETED' named entity 'FUTURE' named entity 'METHODS' named entity 'ASSOCIATION' named entity 'WORLD' named entity 'TEMPORAL PATTERN' named entity 'HETEROGENEITY' named entity 'TEMPORAL' named entity 'PATTERNS'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software