About: A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic

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About: A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic 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	A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic
Creator	Chong, Ka Chung, Benny Wang, Maggie Zee, Ying
Source	PMC
abstract	BACKGROUND: In a new influenza pandemic, travel data such as arrival times of cases seeded by the originating country can be regarded as a combination of the epidemic size and the mobility networks of infections connecting the originating country with other regions. It can be a complete and timely source for estimating the basic reproduction number (R (0)), a key indicator of disease transmissibility. METHOD: In this study, we developed a likelihood-based method using arrival times of infected cases in different countries to estimate R (0) for influenza pandemics. A simulation was conducted to assess the performance of the proposed method. We further applied the method to the outbreak of the influenza pandemic A/H1N1 in Mexico. RESULTS: In the numerical application, the estimated R (0) was equal to 1.69 with a 95% confidence interval (1.65, 1.73). For the simulation results, the estimations were robust to the decline of travel rate and other parameter assumptions. Nevertheless, the estimates were moderately sensitive to the assumption of infectious duration. Generally, the findings were in line with other relevant studies. CONCLUSIONS: Our approach as well as the estimate is potential to assist officials in planning control and prevention measures. Improved coordination to streamline or even centralize surveillance of imported cases among countries will thus be beneficial to public health.
has issue date	2017-02-21(xsd:dateTime)
bibo:doi	10.1186/s12874-017-0300-1
bibo:pmid	28222682
has license	cc-by
sha1sum (hex)	29f305ed687e42fc04b6707fbcc31d95f5588ab7
schema:url	https://doi.org/10.1186/s12874-017-0300-1
resource representing a document's title	A statistical method utilizing information of imported cases to estimate the transmissibility for an influenza pandemic
has PubMed Central identifier	PMC5320693
has PubMed identifier	28222682
schema:publication	BMC Med Res Methodol
resource representing a document's body	covid:29f305ed687e42fc04b6707fbcc31d95f5588ab7#body_text
is schema:about of	named entity 'combination' named entity 'estimate' named entity 'ESTIMATE' named entity 'INFLUENZA PANDEMIC' named entity 'STUDY' named entity 'RESULTS' named entity 'CASES' named entity 'DIFFERENT' named entity 'CONTROL' named entity 'EPIDEMIC' named entity 'USING' named entity 'ESTIMATIONS' named entity 'ESTIMATED' named entity 'INFORMATION' named entity 'COUNTRIES' named entity 'FINDINGS' named entity 'MEXICO' named entity 'NETWORKS' named entity 'DURATION' named entity 'STREAMLINE' named entity 'ASSIST' named entity 'RELEVANT' named entity 'ASSUMPTION' named entity 'ESTIMATES' named entity 'REGIONS' named entity 'INFECTIONS' named entity 'CONNECTING' named entity 'ESTIMATE' named entity 'ROBUST' named entity 'TIMELY' named entity 'CONFIDENCE INTERVAL' named entity 'OUTBREAK' named entity 'KEY' named entity 'TRAVEL' named entity 'STATISTICAL METHOD' named entity 'MODERATELY' named entity 'PREVENTION MEASURES' named entity 'APPLIED' named entity 'INFLUENZA PANDEMIC' named entity 'IMPORTED' named entity 'MOBILITY' named entity 'DECLINE' named entity 'COORDINATION' named entity 'DATA' named entity 'GENERALLY' named entity 'IMPORTED' named entity 'BASIC REPRODUCTION NUMBER' named entity 'PLANNING' named entity 'ESTIMATING' named entity 'DISEASE' named entity 'TIMES' named entity 'LIKELIHOOD' named entity 'PANDEMICS' named entity 'APPLICATION' named entity 'ASSESS' named entity 'INDICATOR' named entity 'INFECTIOUS' named entity 'INFLUENZA' named entity 'METHOD' named entity 'BACKGROUND' named entity 'POTENTIAL' named entity 'SIMULATION' named entity 'EQUAL TO' named entity 'SIZE' named entity 'CASES' named entity 'CONCLUSIONS' named entity 'NUMERICAL' named entity 'SENSITIVE TO' named entity 'COUNTRY' named entity 'SURVEILLANCE' named entity 'ARRIVAL' named entity 'BASED' named entity 'RATE' named entity 'COMPLETE' named entity 'BENEFICIAL' named entity 'IMPROVED' named entity 'NEW' named entity 'SOURCE'

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