| Literature DB >> 29382607 |
Stephen Balinandi1, Ketan Patel2, Joseph Ojwang3, Jackson Kyondo4, Sophia Mulei4, Alex Tumusiime1, Bernard Lubwama5, Luke Nyakarahuka4, John D Klena2, Julius Lutwama4, Ute Strӧher2, Stuart T Nichol2, Trevor R Shoemaker6.
Abstract
BACKGROUND: Crimean-Congo hemorrhagic fever (CCHF) is the most geographically widespread tick-borne viral infection. Outbreaks of CCHF in sub-Saharan Africa are largely undetected and thus under-reported. On November 9, 2015, the National Viral Hemorrhagic Fever Laboratory at the Uganda Virus Research Institute received an alert for a suspect VHF case in a 33-year-old male who presented with VHF compatible signs and symptoms at Mengo Hospital in Kampala.Entities:
Keywords: CCHF; Crimean–Congo hemorrhagic fever; Outbreak; Uganda
Mesh:
Substances:
Year: 2018 PMID: 29382607 PMCID: PMC5893389 DOI: 10.1016/j.ijid.2018.01.013
Source DB: PubMed Journal: Int J Infect Dis ISSN: 1201-9712 Impact factor: 3.623
Figure 1Locations where patient with confirmed CCHF lived, worked, was hospitalized, and tick collections were performed. Inset map shows location of Uganda in Africa.
Figure 2CCHF outbreak investigation in Uganda, 2015. (A) Timeline for disease onset, clinical manifestations, and management. (B) Anti-CCHFV antibody and CCHFV trends, Nakaseke District, Uganda, 2015.
Figure 3Molecular Phylogenetic analysis of CCHF S segments by Maximum Likelihood method.
The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura 3-parameter model (Tamura, 1992). The tree with the highest log likelihood (−10038.19) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor–Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.4820)). The rate variation model allowed for some sites to be evolutionarily invariable ([+I], 29.66% sites). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 26 nucleotide sequences. All positions with less than 95% site coverage were eliminated. That is, fewer than 5% alignment gaps, missing data, and ambiguous bases were allowed at any position. There were a total of 1568 positions in the final dataset. Evolutionary analyses were conducted in MEGA7 (Kumar et al., 2016). Values at nodes represent bootstrap values following 1000 replicates. Genbank accession numbers used in tree are DQ211639, DQ211640, HQ849545.1, DQ076413, DQ211650, DQ144418, GQ862371, DQ076415, DQ211641, DQ211646, AY049083, AF358784, AF481799, AY297692, DQ211645, AF527810, DQ446212, EF123122, DQ211644, AY277676, GQ337053, DQ211638, (Uganda CCHF sequence accession #’s pending).