| Literature DB >> 31554908 |
Amary Fall1, Ndack Ndiaye1, Mamadou Malado Jallow1, Mamadou Aliou Barry2, Cheikh Saad Bou Touré1, Ousmane Kebe1, Davy Evrard Kiori1, Sara Sy1, Mohamed Dia1, Déborah Goudiaby1, Kader Ndiaye1, Mbayame Ndiaye Niang1, Ndongo Dia3.
Abstract
Following the 2014 outbreak, active surveillance of the EV-D68 has been implemented in many countries worldwide. Despite subsequent EV-D68 outbreaks (2014 and 2016) reported in many areas, EV-D68 circulation remains largely unexplored in Africa except in Senegal, where low levels of EV-D68 circulation were first noted during the 2014 outbreak. Here we investigate subsequent epidemiology of EV-D68 in Senegal from June to September 2016 by screening respiratory specimens from ILI and stool from AFP surveillance. EV-D68 was detected in 7.4% (44/596) of patients; 40 with ILI and 4 with AFP. EV-D68 detection was significantly more common in children under 5 years (56.8%, p = 0.016). All EV-D68 strains detected belonged to the newly defined subclade B3. This study provides the first evidence of EV-D68 B3 subclade circulation in Africa from patients with ILI and AFP during a 2016 outbreak in Senegal. Enhanced surveillance of EV-D68 is needed to better understand the epidemiology of EV-D68 in Africa.Entities:
Mesh:
Year: 2019 PMID: 31554908 PMCID: PMC6761155 DOI: 10.1038/s41598-019-50470-z
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Demographic, clinical characteristics and detection of 14 patients infected with enterovirus D68 from June to September 2016.
| Sample tested N (%) | EVd68 positive N (%) | p-Value | |
|---|---|---|---|
| N (%) | 596 (100) | 44 (7,4) | |
| ILI | 537 (90,1) | 40 (90,9) | 0,55 |
| AFP | 59 (9,9) | 4 (9,1) | |
|
| |||
| Female | 303 (50,8) | 20 (45,5) | 0,28 |
| Male | 281 (47,1) | 23 (52,3) | |
| Missing | 12 (02) | 01 (02,3) | |
| Median age (years) | 3.6 | 3.5 | 0,52 |
|
| |||
| [0–5[ | 331 (55,5) | 25 (56,8) | |
| [5–10[ | 71 (11,9) | 11 (25) | |
| [10–15[ | 41 (6,9) | 03 (6,8) | |
| [15–20[ | 23 (3,9) | 03 (6,8) | |
| [20–50[ | 25 (4,2) | 0 | |
| [50 + [ | 95 (15,9) | 02 (4,5) | |
| Missing | 10 (1,7) | 0 | |
|
| |||
| Fever | 557 (93,5) | 40 (100) | 0,16 |
| Cough | 430(80,1) | 33(82,5) | 0,43 |
| Rhinitis | 96(17,9) | 7(17,5) | 0,57 |
| Headache | 7(17,5) | 60(11,2) | 0,14 |
| Pharyngitis | 89(16,6) | 7(17,5) | 0,5 |
| Vomiting | 5(12,5) | 40(7,4) | 0,16 |
| Diarrhea | 3(7,5) | 30(5,6) | 0,39 |
| Myalgia | 02 (05) | 76(14,2) | 0,057 |
Figure 1Distribution of EV-D68 in Senegal, from June to September 2016. The unbroken line represents the number of specimens collected per weeks. The shaded bars show EV-D68-positive specimens from patients with ILI (in blue) and AFP (in red).
Figure 2Geographical distribution of EV-D68 in Senegal with red dots representing strains from AFP patients, blues dots strains from ILI patients, the number of EV-D68 positive sample are written in dots.
Figure 3The partial sequences of VP1 region of EV-D68 were analyzed and used for a maximum likelihood phylogram. The phylogenetic tree was constructed by maximum likelihood estimation method with 1,000 bootstrap replicates using MEGA 7.0 software. The evolutionary distances were derived using the Tamura 3 parameter model. Numbers at nodes, which indicate bootstrap support values (≥70%), are given. Sequences in GenBank were also included in the analysis. Strain name, country of origin, year of detection and accession numbers are shown for each strain. Sequences of EVD68 strains from Senegal are depicted in blue with the red dots symbolizing strains from AFP patients and the blue ones strains from ILI patients.