Spatial and Temporal Patterns of<i>Zaire ebolavirus</i>Antibody Prevalence in the Possible Reservoir Bat Species

Pourrut, Xavier; Delicat, André; Rollin, Pierre E.; Ksiazek, Thomas G.; Gonzalez, Jean‐Paul; Leroy, Eric M.

doi:10.1086/520541

Cited by 165 publications

(141 citation statements)

References 26 publications

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“…Then, transaction database is scanned to reveal the frequent item sets among the candidates. We divided the amino acid sequences of virus into 9, 13, 17 windows and analyzed the frequent sequence pattern respectively [13]. Table I, it is noticeable that there were no rules of Bundibugo Ebolavirus, Reston Ebolavirus, and TaiForest Ebolavirus.…”

Section: G Apriori Algorithmmentioning

confidence: 99%

Analysis of Ebolavirus with Decision Tree and Apriori algorithm

Go¹,

Lee²,

Yoon³

2014

IJMLC

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Abstract-EbolaVirus, which has high facilities up to 90%, is introduced into the human population through close contact with the blood, secretions, organs or other bodily fluids of infected animals. It is mostly occurred in Central and West Africa, near tropical rainforests and their host are bats. In this paper, we analyzed the DNA sequences of 5 Ebolavirus : Bundibugyo Ebolavirus, Reston Ebolavirus, Sudan Ebolavirus, TaiForest Ebolavirus, and Zaire Ebolavirus and investigated the difference between them based on the genus they are involved in. Furthermore, we look for the frequency of the amino acid and find the similarities between the Ebolaviruses.Index Terms-Ebolavirus, bundibugyo ebolavirus, reston ebolavirus, sudan ebolavirus, taiforest ebolavirus, zaire ebolavirus, decision tree, apriori algorithm.

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Section: G Apriori Algorithmmentioning

confidence: 99%

Analysis of Ebolavirus with Decision Tree and Apriori algorithm

Go¹,

Lee²,

Yoon³

2014

IJMLC

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“…However, past experience and our growing understanding of the ecology of filoviruses and their possible reservoirs can help us make some educated guesses (Peterson et al, 2004a,b;Leroy et al, 2005;Bausch et al, 2006;Pourrut et al, 2007;Swanepoel et al, 2007;Towner et al, 2007). Only Ebola Zaire and Sudan virus and Marburg virus, all found in Central Africa, have been associated with large outbreaks.…”

Section: Identifying the Countries And Regions Where Filovirus Clinicmentioning

confidence: 99%

Treatment of Marburg and Ebola hemorrhagic fevers: A strategy for testing new drugs and vaccines under outbreak conditions

et al. 2008

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The filoviruses, Marburg and Ebola, have the dubious distinction of being associated with some of the highest case-fatality rates of any known infectious disease-approaching 90% in many outbreaks. In recent years, laboratory research on the filoviruses has produced treatments and vaccines that are effective in laboratory animals and that could potentially drastically reduce case-fatality rates and curtail outbreaks in humans. However, there are significant challenges in clinical testing of these products and eventual delivery to populations in need. Most cases of filovirus infection are recognized only in the setting of large outbreaks, often in the most remote and resource-poor areas of sub-Saharan Africa, with little infrastructure and few personnel experienced in clinical research. Significant political, legal, and socio-cultural barriers also exist. Here, we review the present research priorities and environment for field study of the filovirus hemorrhagic fevers and outline a strategy for future prospective clinical research on treatment and vaccine prevention.

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“…Pourrut noted that human outbreaks and animal mortality do not appear to be reliable indicators of the presence of the virus in a region, and suggested antibody detection may serve as a better epidemiological indicator of the presence of EBOV in an area (9).…”

Section: Introductionmentioning

confidence: 99%

“…during dry seasons when great ape mortality increases from EBOV, two of the three primary bat species give birth, and when apes and bats compete for scarce fruit. 9 Species positive for EBOV and/or EBOV antibodies, polymerase chain reaction (PCR) and isolation have been identified in several mammal orders: Primates, Chiroptera, Artiodactyla, Carnivora and Rodentia (5,8,11).…”

Section: Introductionmentioning

confidence: 99%

Indentifying and modeling the distribution of cryptic reservoirs of Ebola virus using artificial intelligence

Kollars¹,

Senessie²,

Sunderland³

2019

Af J Clin Exp Micro

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Fruit bats (Megachiroptera) have been found to be the principal reservoirs of Ebola virus (EBOV) to humans. However, bats do not appear to be the primary reservoir in the environment and between outbreaks. The cryptic reservoir species of EBOV and its distribution have not been identified. The purpose of the study was to identify the most likely cryptic reservoir species of EBOV and the probable distribution of cryptic reservoir species where EBOV could be maintained in Sierra Leone. The Bioagent Transport and Environmental Modeling System (BioTEMS) was used to analyze mammals, arthropods, plants and protists in order to identify the most likely species to be the cryptic reservoir for EBOV. ArcGIS and BioTEMS were used to determine the probable distribution of cryptic reservoir species. BioTEMS identified free-living pathogenic amoebae (

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Spatial and Temporal Patterns ofZaire ebolavirusAntibody Prevalence in the Possible Reservoir Bat Species

Cited by 165 publications

References 26 publications

Analysis of Ebolavirus with Decision Tree and Apriori algorithm

Analysis of Ebolavirus with Decision Tree and Apriori algorithm

Treatment of Marburg and Ebola hemorrhagic fevers: A strategy for testing new drugs and vaccines under outbreak conditions

Indentifying and modeling the distribution of cryptic reservoirs of Ebola virus using artificial intelligence

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