ArticlePloS one2015
Weather Variability Associated with Aedes (Stegomyia) aegypti (Dengue Vector) Oviposition Dynamics in Northwestern Argentina.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review.Frontiers in public health · 2022Pooled it
- Climatic and Microenvironmental Variables Associated with the Abundance of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in a Subtropical Region of Argentina.Neotropical entomology · 2026Article
- High-Resolution Geospatial Analysis of Dengue Vulnerability in Urban and Rural Areas of San Luis Potosí, Mexico.Tropical medicine and infectious disease · 2025Article
- Climate Change: A Major Factor in the Spread ofInsects · 2025Article
- Mosquito Population Dynamics and Blood Host Associations in Two Types of Urban Greenspaces in Coastal Florida.Insects · 2025Article
- Spatial and temporal characterization of Aedes albopictus oviposition activity in candidate urban settings for sterile insect technique testing in La Reunion Island.Infectious diseases of poverty · 2024Article
- Applicability of the Mexican ovitrap system for Aedes vector surveillance in Colombia.Pathogens and global health · 2023Review
- A Maximum Entropy Model of the Distribution of Dengue Serotype in Mexico.Transboundary and emerging diseases · 2023Article
- Use of Aedes aegypti Oviposition Surveillance and a Geographic Information System for Planning Anti-Vectorial Measures.The American journal of tropical medicine and hygiene · 2022Article
- A Review of Dengue's Historical and Future Health Risk from a Changing Climate.Current environmental health reports · 2021Review
- A decade of arbovirus emergence in the temperate southern cone of South America: dengue,Heliyon · 2020Article
- The influence of meteorological variables on the oviposition dynamics of Aedes aegypti (Diptera: Culicidae) in four environmentally distinct areas in northeast Brazil.Memorias do Instituto Oswaldo Cruz · 2020Article
- A comprehensive review of climate change impacts, adaptation, and mitigation on environmental and natural calamities in Pakistan.Environmental monitoring and assessment · 2019Review
- Dengue hospitalisations in Brazil: annual wave from West to East and recent increase among children.Epidemiology and infection · 2018Article
- Modelling the range expansion of the Tiger mosquito in a Mediterranean Island accounting for imperfect detection.Frontiers in zoology · 2017Article
- Temporal Dynamics and Spatial Patterns of Aedes aegypti Breeding Sites, in the Context of a Dengue Control Program in Tartagal (Salta Province, Argentina).PLoS neglected tropical diseases · 2016Article
- Climate change and antibiotic resistance: a deadly combination.Therapeutic advances in infectious diseaseReview
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to develop a forecasting model by assessing the weather variability associated with seasonal fluctuation of Aedes aegypti oviposition dynamic at a city level in Orán, in northwestern Argentina. Oviposition dynamics were assessed by weekly monitoring of 90 ovitraps in the urban area during 2005-2007. Correlations were performed between the number of eggs collected weekly and weather variables (rainfall, photoperiod, vapor pressure of water, temperature, and relative humidity) with and without time lags (1 to 6 weeks). A stepwise multiple linear regression analysis was performed with the set of meteorological variables from the first year of study with the variables in the time lags that best correlated with the oviposition. Model validation was conducted using the data from the second year of study (October 2006- 2007). Minimum temperature and rainfall were the most important variables. No eggs were found at temperatures below 10 °C. The most significant time lags were 3 weeks for minimum temperature and rains, 3 weeks for water vapor pressure, and 6 weeks for maximum temperature. Aedes aegypti could be expected in Orán three weeks after rains with adequate min temperatures. The best-fit forecasting model for the combined meteorological variables explained 70 % of the variance (adj. R(2)). The correlation between Ae. aegypti oviposition observed and estimated by the forecasting model resulted in rs = 0.80 (P < 0.05). The forecasting model developed would allow prediction of increases and decreases in the Ae. aegypti oviposition activity based on meteorological data for Orán city and, according to the meteorological variables, vector activity can be predicted three or four weeks in advance.
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