2015
DOI: 10.4103/1596-3519.149892
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Development of a time-trend model for analyzing and predicting case-pattern of Lassa fever epidemics in Liberia, 2013-2017

Abstract: This paper describes a translational application of the space-time distribution pattern of LF epidemics, 2008-2012 reported in Liberia, on which a predictive model was developed. We proposed a computationally feasible two-stage space-time permutation approach to estimate the time-trend parameters and conduct predictive inference on LF in Liberia.

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Cited by 18 publications
(11 citation statements)
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“…The disease results in 500,000 cases annually and approximately 5000 deaths in endemic West Africa. Although the overall case fatality rate is 1% [1], mortality can be as high as 15-20% in hospitalized LF patients and up to 50% during outbreaks [2][3][4][5]. LF was first described in 1969 in the town of Lassa, in present-day Borno State, Nigeria, and recurrent seasonal outbreaks occur in the Lassa belt of West Africa comprising Nigeria, Liberia, Sierra Leone, and Guinea.…”
Section: Introductionmentioning
confidence: 99%
“…The disease results in 500,000 cases annually and approximately 5000 deaths in endemic West Africa. Although the overall case fatality rate is 1% [1], mortality can be as high as 15-20% in hospitalized LF patients and up to 50% during outbreaks [2][3][4][5]. LF was first described in 1969 in the town of Lassa, in present-day Borno State, Nigeria, and recurrent seasonal outbreaks occur in the Lassa belt of West Africa comprising Nigeria, Liberia, Sierra Leone, and Guinea.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the Lassa fever outbreak in Nigeria showing a declining trend and considering the seasonal peaks in previous years there is the need for improvements in community and health care worker response and preparedness. [14] Major achievements were recorded relative to previous outbreak especially the Ebola outbreak response of July 2014.…”
Section: Discussionmentioning
confidence: 99%
“…Difference in seasonal frequencies was not statistically significant (P > 0.05). The team has developed a time-trend model for analyzing and predicting the disease, [12] which holds a high promise for effective engagement of the MRU governments, and stakeholders, including the academia in rebuilding and strengthening LF surveillance and control systems in Liberia. This is well-portrayed, in Sierra Leone, where a dramatic rise in suspected LF cases that were identified rose from under a 100 in 2008 to nearly 600 in 2011, following the efforts of the international collaboration between Kenema Government Hospital and Tulane University.…”
Section: Annals Of African Medicinementioning
confidence: 99%