Demographic and clinical characteristics of chikungunya patients from six Colombian cities, 2014-2015.

Demographic and clinical characteristics of chikungunya patients from six Colombian cities, 2014-2015.

Rueda, Juan C;Santos, Ana M;Angarita, Jose-Ignacio;Giraldo, Rodrigo B;Saldarriaga, Eugenia-Lucia;Ballesteros Muñoz, Jesús Giovanny;Forero, Elías;Valencia, Hugo;Somoza, Francisco;Martin-Arsanios, Daniel;Quintero, Elias-Josué;Reyes-Martinez, Viviana;Padilla, Diana;Cuervo, Francy M;Peláez-Ballestas, Ingris;Cardiel, Mario H;Pavía, Paula X;Londono, John;
emerging microbes & infections 2019 Vol. 8 pp. 1490-1500
285
rueda2019demographicemerging

Abstract

In 2014, the chikungunya virus reached Colombia for the first time, resulting in a nationwide epidemic. The objective of this study was to describe the demographics and clinical characteristics of suspected chikungunya cases. Chikungunya infection was confirmed by enzyme-linked immunosorbent assay and 548 patients where included in the study. Of these patients, 295 were positive for antibodies against chikungunya (53.8%), and 27.6% (151/295) were symptomatic for chikungunya infection, with a symptomatic:asymptomatic ratio of 1.04:1. Factors associated with infection included low income and low socio-economic strata (odds ratio [OR]: 1.8; 95% confidence interval [CI]: 1.0-3.2,  = 0.003 and OR: 2.1; CI: 1.3-3.4,  = 0.002, respectively). Confirmed symptomatic cases were associated with symmetric arthritis (OR: 11.7; CI: 6.0-23.0,  < 0.001) of ankles (OR: 8.5; CI: 3.5-20.9,  < 0.001), hands (OR: 8.5; CI: 3.5-20.9,  < 0.001), feet (OR: 6.5; CI: 2.8-15.3,  < 0.001), and wrists (OR: 17.3; CI: 2.3-130.5,  < 0.001). Our study showed that poverty is associated with chikungunya infection. Public health strategies to prevent and control chikungunya should focus on poorer communities that are more vulnerable to infection. The rate of asymptomatic infections among confirmed cases was 48.8%. However, those with symptoms displayed a characteristic rheumatic clinical picture, which could help differentiate chikungunya infection from other endemic viral diseases.

Citation

ID: 62385
Ref Key: rueda2019demographicemerging
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
62385
Unique Identifier:
10.1080/22221751.2019.1678366
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet