Dengue Burden and Factors Influencing Severity in Honduras: A Descriptive and Analytical Study.


Journal

Revista da Sociedade Brasileira de Medicina Tropical
ISSN: 1678-9849
Titre abrégé: Rev Soc Bras Med Trop
Pays: Brazil
ID NLM: 7507456

Informations de publication

Date de publication:
2024
Historique:
received: 13 12 2023
accepted: 09 05 2024
medline: 19 6 2024
pubmed: 19 6 2024
entrez: 19 6 2024
Statut: epublish

Résumé

Dengue is a disease that accounts for a major morbidity and mortality in Honduras. This descriptive study used an analytical component based on the data from the National Virology Laboratory between 2016-2022. Ordinal logistic regression was used to identify the factors associated with the classification of dengue without warning signs (DWOS), dengue with warning signs (DWS), and severe dengue (SD). Overall, 14,687 dengue cases were included; 50.1% had DWOS, 36.5% had DWS, and 13.4% had SD. Patients that were more associated with a higher probability of DWS and SD were patients in the age groups 1-4 years (DWS OR 1.61; 95%CI:1.33-1.94), (SD OR 1.52; 95% CI:1.26-1.84), 5-9 years (DWS OR 2.01; 95% CI:1.68-2.40), (SD OR 2.00; 95% CI:1.67-2.40), and 10-19 years (DWS OR 1.55; 95% CI:1.30-1.85) (SD OR 1.57; 95% CI:1.31-1.88). The departments that were associated with a higher probability of DWS and SD were La Paz (OR 6.35; 95% CI:3.53-11.42), (OR 10.94; 95% CI:5.96-20.08), Copán (OR 6.94; 95% CI:5.05-9.53) (OR 7.33; 95% CI: 5.35-10.03), Valle (OR 5.22; 95% CI:1.25-21.82) (OR 10.71; 95% CI:2.21-51.88). During the study period, dengue presented endemic behavior, with peaks consistent with the last two epidemics in Honduras in 2015 and 2019. The main factors associated with dengue severity were age< 19 years, male sex, and being from La Paz, Copán, or Valle.

Sections du résumé

BACKGROUND BACKGROUND
Dengue is a disease that accounts for a major morbidity and mortality in Honduras.
METHODS METHODS
This descriptive study used an analytical component based on the data from the National Virology Laboratory between 2016-2022. Ordinal logistic regression was used to identify the factors associated with the classification of dengue without warning signs (DWOS), dengue with warning signs (DWS), and severe dengue (SD).
RESULTS RESULTS
Overall, 14,687 dengue cases were included; 50.1% had DWOS, 36.5% had DWS, and 13.4% had SD. Patients that were more associated with a higher probability of DWS and SD were patients in the age groups 1-4 years (DWS OR 1.61; 95%CI:1.33-1.94), (SD OR 1.52; 95% CI:1.26-1.84), 5-9 years (DWS OR 2.01; 95% CI:1.68-2.40), (SD OR 2.00; 95% CI:1.67-2.40), and 10-19 years (DWS OR 1.55; 95% CI:1.30-1.85) (SD OR 1.57; 95% CI:1.31-1.88). The departments that were associated with a higher probability of DWS and SD were La Paz (OR 6.35; 95% CI:3.53-11.42), (OR 10.94; 95% CI:5.96-20.08), Copán (OR 6.94; 95% CI:5.05-9.53) (OR 7.33; 95% CI: 5.35-10.03), Valle (OR 5.22; 95% CI:1.25-21.82) (OR 10.71; 95% CI:2.21-51.88).
CONCLUSIONS CONCLUSIONS
During the study period, dengue presented endemic behavior, with peaks consistent with the last two epidemics in Honduras in 2015 and 2019. The main factors associated with dengue severity were age< 19 years, male sex, and being from La Paz, Copán, or Valle.

Identifiants

pubmed: 38896654
pii: S0037-86822024000100407
doi: 10.1590/0037-8682-0594-2023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e004072024

Auteurs

Melba Zúniga-Gutiérrez (M)

Universidad Nacional Autónoma de Honduras, Research Institute in Medical Sciences and Right to Health, Epidemiology Postgraduate Program Tegucigalpa, Honduras.

Marlon Meléndez (M)

Universidad Nacional Autónoma de Honduras, Epidemiology Postgraduate Program. Tegucigalpa, Honduras.

Saroni Shadai Rodríguez Montoya (SSR)

Universidad Nacional Autónoma de Honduras, Epidemiology Postgraduate Program. Tegucigalpa, Honduras.

Héctor Alcides Figueroa Escobar (HAF)

Universidad Nacional Autónoma de Honduras, University Demographic Observatory, Tegucigalpa, Honduras.

Jorge López (J)

Universidad Nacional Autónoma de Honduras, Demography and Development Postgraduate Program. Tegucigalpa, Honduras.

Sandra Paz (S)

Ministry of Health, Health Surveillance Unit, National Virology Laboratory. Tegucigalpa, Honduras.

Dilcia Sauceda-Acosta (D)

Universidad Nacional Autónoma de Honduras, Research Institute in Medical Sciences and Right to Health, Epidemiology Postgraduate Program Tegucigalpa, Honduras.

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