Your browser doesn't support javascript.
loading
Influence of abiotic factors on the oviposition of Aedes (Stegomyia) aegypti (Diptera: Culicidae) in Northern Paraná, Brazil.
do Nascimento, Juliana Freitas; Palioto-Pescim, Graciana Freitas; Pescim, Rodrigo Rossetto; Suganuma, Marcio Seiji; Zequi, João Antonio Cyrino; Golias, Halison Correia.
Afiliación
  • do Nascimento JF; Federal Technological University of Paraná, Apucarana campus - UTFPR-AP, Apucarana, Paraná, Brazil.
  • Palioto-Pescim GF; Federal Technological University of Paraná, Apucarana campus - UTFPR-AP, Apucarana, Paraná, Brazil.
  • Pescim RR; State University of Londrina - UEL, Londrina, Paraná, Brazil.
  • Suganuma MS; State University of Londrina - UEL, Londrina, Paraná, Brazil.
  • Zequi JAC; State University of Londrina - UEL, Londrina, Paraná, Brazil.
  • Golias HC; Federal Technological University of Paraná, Apucarana campus - UTFPR-AP, Apucarana, Paraná, Brazil.
Int J Trop Insect Sci ; 42(3): 2215-2220, 2022.
Article en En | MEDLINE | ID: mdl-35136411
Aedes aegypti is the main vector of dengue in the Americas and is also a transmitter of urban yellow fever arboviruses, Zika, and Chikungunya, all of which have substantial economic impacts on the affected countries. Through mathematical models, the influence of climatic factors on the oviposition of Ae. aegypti was determined. The data were collected in the city of Apucarana, Paraná State, using oviposition traps. Daily data were submitted to a negative binomial regression model (p < 0.05). The analyses were performed using the R statistical program to determine the climatic factors that most influenced oviposition. A Poisson regression showed that the variables temperature, atmospheric pressure, humidity, and precipitation significantly increased the number of eggs. However, using the semi-normal probability graph with a simulation envelope, it was determined that the Poisson regression model was not adequate to explain the relationships between the variables. Thus, a negative binomial regression model was used, which overcame the problem of overdispersion, and showed that only temperature affected the increase in the number of eggs, where an increase of 1 °C was expected to result in a 54.03% increase in the number of Ae. aegypti eggs.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: Int J Trop Insect Sci Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies País/Región como asunto: America do sul / Brasil Idioma: En Revista: Int J Trop Insect Sci Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido