About: Sub-national variation in measles vaccine coverage and outbreak risk: a case study from a 2010 outbreak in Malawi

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

About: Sub-national variation in measles vaccine coverage and outbreak risk: a case study from a 2010 outbreak in Malawi Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Sub-national variation in measles vaccine coverage and outbreak risk: a case study from a 2010 outbreak in Malawi
Creator	Ferrari, Matthew Huang, Zhuojie Carran, Spencer Hurtado, Northan Kagoli, Matthew Kundrick, Avery Grais, Rebecca
Source	Medline; PMC
abstract	BACKGROUND: Despite progress towards increasing global vaccination coverage, measles continues to be one of the leading, preventable causes of death among children worldwide. Whether and how to target sub-national areas for vaccination campaigns continues to remain a question. We analyzed three metrics for prioritizing target areas: vaccination coverage, susceptible birth cohort, and the effective reproductive ratio (R(E)) in the context of the 2010 measles epidemic in Malawi. METHODS: Using case-based surveillance data from the 2010 measles outbreak in Malawi, we estimated vaccination coverage from the proportion of cases reporting with a history of prior vaccination at the district and health facility catchment scale. Health facility catchments were defined as the set of locations closer to a given health facility than to any other. We combined these estimates with regional birth rates to estimate the size of the annual susceptible birth cohort. We also estimated the effective reproductive ratio, R(E), at the health facility polygon scale based on the observed rate of exponential increase of the epidemic. We combined these estimates to identify spatial regions that would be of high priority for supplemental vaccination activities. RESULTS: The estimated vaccination coverage across all districts was 84%, but ranged from 61 to 99%. We found that 8 districts and 354 health facility catchments had estimated vaccination coverage below 80%. Areas that had highest birth cohort size were frequently large urban centers that had high vaccination coverage. The estimated R(E) ranged between 1 and 2.56. The ranking of districts and health facility catchments as priority areas varied depending on the measure used. CONCLUSIONS: Each metric for prioritization may result in discrete target areas for vaccination campaigns; thus, there are tradeoffs to choosing one metric over another. However, in some cases, certain areas may be prioritized by all three metrics. These areas should be treated with particular concern. Furthermore, the spatial scale at which each metric is calculated impacts the resulting prioritization and should also be considered when prioritizing areas for vaccination campaigns. These methods may be used to allocate effort for prophylactic campaigns or to prioritize response for outbreak response vaccination.
has issue date	2018-06-15(xsd:dateTime)
bibo:doi	10.1186/s12889-018-5628-x
bibo:pmid	29902976
has license	cc-by
sha1sum (hex)	f2a4078a4441df3a53a2d719375da1c57bd93346
schema:url	https://doi.org/10.1186/s12889-018-5628-x
resource representing a document's title	Sub-national variation in measles vaccine coverage and outbreak risk: a case study from a 2010 outbreak in Malawi
has PubMed Central identifier	PMC6003196
has PubMed identifier	29902976
schema:publication	BMC Public Health
resource representing a document's body	covid:f2a4078a4441df3a53a2d719375da1c57bd93346#body_text
is schema:about of	named entity 'varied' named entity 'outbreak' named entity 'coverage' named entity 'activities' named entity 'spatial scale' named entity 'The' named entity 'VARIATION' covid:arg/f2a4078a4441df3a53a2d719375da1c57bd93346 named entity 'EXPONENTIAL' named entity 'CATCHMENT' named entity 'ACROSS' named entity 'SIZE' named entity 'EPIDEMIC' named entity 'USING' named entity 'HISTORY OF' named entity 'TARGET' named entity 'PRIORITY' named entity 'PREVENTABLE' named entity 'NATIONAL' named entity 'CONCLUSIONS' named entity 'TO IDENTIFY' named entity 'TREATED WITH' named entity 'SURVEILLANCE' named entity 'RANKING' named entity 'USED' named entity 'DEFINED' named entity 'FOUND' named entity 'DISTRICT' named entity 'CONSIDERED' named entity 'BASED' named entity 'MEASURE' named entity 'PARTICULAR' named entity 'MAY BE' named entity 'URBAN' named entity 'PROPORTION' named entity 'SUB-' named entity 'MALAWI' named entity 'RESPONSE' named entity 'RESULT' named entity 'CASES REPORTING' named entity 'PROGRESS' named entity 'WORLDWIDE' named entity 'SUPPLEMENTAL' named entity 'CASES' named entity 'PRIOR' named entity 'LARGE' named entity 'PROPHYLACTIC' named entity 'BIRTH RATES' named entity 'AREAS' named entity 'HIGH' named entity 'LOCATIONS' named entity 'GLOBAL' named entity 'INCREASING' named entity 'CHILDREN' named entity 'OBSERVED' named entity 'CERTAIN' named entity 'HIGHEST' named entity 'ONE OF' named entity 'CHOOSING' named entity 'CONCERN' named entity 'ANALYZED' named entity 'SPATIAL SCALE' named entity 'VACCINATION' named entity 'ESTIMATES' named entity 'REPRODUCTIVE' named entity 'ESTIMATE' named entity 'NATIONAL' named entity 'MEASLES VACCINE' named entity 'THESE' named entity 'SCALE' named entity 'EFFORT' named entity 'CASE STUDY' named entity 'MALAWI' named entity 'COVERAGE' named entity 'RISK'

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