About: Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting

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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	Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting
Creator	Bhatt, Samir Guinovart, Caterina Routledge, Isobel Schneider, Kammerle Ghani, Azra Cucunubá, Zulma Gomez Rodriguez, Manuel Gustafson, Kyle Romero Chevéz, José Walker, Patrick
Source	PMC
abstract	In 2016 the World Health Organization identified 21 countries that could eliminate malaria by 2020. Monitoring progress towards this goal requires tracking ongoing transmission. Here we develop methods that estimate individual reproduction numbers and their variation through time and space. Individual reproduction numbers, R(c), describe the state of transmission at a point in time and differ from mean reproduction numbers, which are averages of the number of people infected by a typical case. We assess elimination progress in El Salvador using data for confirmed cases of malaria from 2010 to 2016. Our results demonstrate that whilst the average number of secondary malaria cases was below one (0.61, 95% CI 0.55–0.65), individual reproduction numbers often exceeded one. We estimate a decline in R(c) between 2010 and 2016. However we also show that if importation is maintained at the same rate, the country may not achieve malaria elimination by 2020.
has issue date	2018-06-26(xsd:dateTime)
bibo:doi	10.1038/s41467-018-04577-y
bibo:pmid	29946060
has license	cc-by
sha1sum (hex)	a5b3f4df4b5b773e35f56703b5a653559e82b139
schema:url	https://doi.org/10.1038/s41467-018-04577-y
resource representing a document's title	Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting
has PubMed Central identifier	PMC6018772
has PubMed identifier	29946060
schema:publication	Nat Commun
resource representing a document's body	covid:a5b3f4df4b5b773e35f56703b5a653559e82b139#body_text
is schema:about of	named entity 'reproduction' named entity 'HEALTH' named entity 'REPRODUCTION' named entity 'WORLD HEALTH ORGANIZATION' named entity 'GOAL' named entity 'PROGRESS' named entity 'IMPORTATION' named entity 'RESULTS' named entity 'COUNTRY' named entity 'TYPICAL' named entity 'INFECTED' named entity 'EL SALVADOR' named entity 'MAINTAINED' named entity 'INDIVIDUAL' named entity 'USING' named entity 'METHODS' named entity 'VARIATION' named entity 'DESCRIBE' named entity 'HERE' named entity 'CASES' named entity 'AVERAGE' named entity '0.55' named entity '0.65' named entity 'SECONDARY' named entity 'PEOPLE' named entity 'OUR' named entity 'CASE' named entity 'POINT IN TIME' named entity 'A POINT' named entity 'STATE' named entity 'THEIR' named entity 'CONFIRMED' named entity 'MONITORING' named entity 'TIME' named entity 'DECLINE' named entity 'NUMBER OF' named entity 'MEAN' named entity 'TRACKING' named entity 'ASSESS' named entity 'IDENTIFIED' named entity 'ELIMINATION' named entity 'COUNTRIES' named entity 'SPACE' named entity 'TRANSMISSION' named entity 'DATA' named entity 'MALARIA' named entity 'ESTIMATE' named entity 'R C' named entity 'RATE' named entity 'ONGOING' named entity 'NUMBERS' covid:arg/a5b3f4df4b5b773e35f56703b5a653559e82b139 named entity 'progress' named entity 'El Salvador' named entity 'elimination' named entity 'cases' named entity 'elimination' named entity 'However' named entity 'numbers' named entity 'variation' named entity 'malaria' named entity 'malaria' named entity 'reproduction' named entity 'AIC' named entity 'P. falciparum' named entity 'epidemiological' named entity 'Guatemala' named entity 'El Salvador' named entity 'Central American' named entity 'generalised additive model' named entity 'incubation period' named entity 'P. falciparum'

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