دورية أكاديمية
أعرض في EDS

Influence of abiotic factors on the oviposition of Aedes (Stegomyia) aegypti (Diptera: Culicidae) in Northern Paraná, Brazil.

التفاصيل البيبلوغرافية
العنوان: Influence of abiotic factors on the oviposition of Aedes (Stegomyia) aegypti (Diptera: Culicidae) in Northern Paraná, Brazil.
المؤلفون: 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.
المصدر: International journal of tropical insect science [Int J Trop Insect Sci] 2022; Vol. 42 (3), pp. 2215-2220. Date of Electronic Publication: 2022 Feb 04.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: CABI Pub Country of Publication: England NLM ID: 101226299 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1742-7584 (Print) Linking ISSN: 17427584 NLM ISO Abbreviation: Int J Trop Insect Sci Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Wallingford, Oxfordshire, UK : CABI Pub., c2004-
مستخلص: 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.
Competing Interests: Conflicts of interestsThe authors have no conflicts of interest to declare that are relevant to the content of this article.
(© African Association of Insect Scientists 2022.)
References: Neotrop Entomol. 2017 Jun;46(3):243-255. (PMID: 28401481)
J Med Entomol. 2009 Jan;46(1):33-41. (PMID: 19198515)
Elife. 2015 Jun 30;4:e08347. (PMID: 26126267)
J Insect Physiol. 1968 Sep;14(9):1251-7. (PMID: 5761668)
Neotrop Entomol. 2006 Nov-Dec;35(6):853-60. (PMID: 17273720)
Clin Microbiol Rev. 1998 Jul;11(3):480-96. (PMID: 9665979)
PLoS One. 2013;8(4):e60874. (PMID: 23565282)
Environ Res. 2016 Nov;151:115-123. (PMID: 27475051)
Rev Saude Publica. 2002 Apr;36(2):166-72. (PMID: 12045797)
Micron. 2019 Nov;126:102734. (PMID: 31494346)
J Med Entomol. 1995 Sep;32(5):599-604. (PMID: 7473614)
Mem Inst Oswaldo Cruz. 2020;115:e200046. (PMID: 32667460)
Southeast Asian J Trop Med Public Health. 2009 Sep;40(5):942-50. (PMID: 19842378)
Mem Inst Oswaldo Cruz. 2013;108 Suppl 1:11-7. (PMID: 24473798)
فهرسة مساهمة: Keywords: Climatic factors; Negative Regression; Ovitrap; Poisson Regression; Vector monitoring
تواريخ الأحداث: Date Created: 20220209 Latest Revision: 20220716
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC8815021
DOI: 10.1007/s42690-022-00742-5
PMID: 35136411
قاعدة البيانات: MEDLINE
الوصف
تدمد:1742-7584
DOI:10.1007/s42690-022-00742-5