| Title |
Identification of infection by Chikungunya, Zika, and Dengue in an area of the Peruvian coast. Molecular diagnosis and clinical characteristics
|
|---|---|
| Published in |
BMC Research Notes, March 2018
|
| DOI | 10.1186/s13104-018-3290-0 |
| Pubmed ID | |
| Authors |
José Sánchez-Carbonel, Derek Tantaléan-Yépez, Miguel Angel Aguilar-Luis, Wilmer Silva-Caso, Pablo Weilg, Fernando Vásquez-Achaya, Luis Costa, Johanna Martins-Luna, Isabel Sandoval, Juana del Valle-Mendoza |
| Abstract |
To assess the presence of Dengue, Chikungunya, and Zika in serum samples of patients with acute febrile illness in Piura, Peru and describe the most common clinical features. Dengue was the most common arbovirus detected in 170/496 (34.3%), followed by Zika in 39/496 (7.9%) and Chikungunya in 23/496 (4.6%). Among the 170 samples positive for Dengue, serotype 2 was the most predominant type present in 97/170 (57.1%) of samples, followed by the serotype 3 in 9/170 (5.3%). Headaches, muscle pain, and joint pain were the most common symptoms associated with fever in patients with Dengue and Zika. No symptoms predominance was observed in patients with Chikungunya.Dengue is considered the most frequent arbovirus in Peru and the number of cases has increased dramatically in the last 5 years. However, it is not the only arbovirus that circulates along the northern coast of Peru. It has also been determined the presence of Zika and Chikungunya in our population, which may suggest the circulation of other arboviruses that have not been detected. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 15% |
| Student > Master | 14 | 13% |
| Student > Doctoral Student | 12 | 11% |
| Other | 9 | 8% |
| Student > Bachelor | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 31 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 14% |
| Agricultural and Biological Sciences | 12 | 11% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Immunology and Microbiology | 7 | 6% |
| Nursing and Health Professions | 4 | 4% |
| Other | 18 | 16% |
| Unknown | 44 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2018.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from BMC Research Notes
#3,579
of 4,283 outputs
Outputs of similar age
#294,860
of 333,763 outputs
Outputs of similar age from BMC Research Notes
#81
of 99 outputs
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