ArticleScientific reports2021
Predictive model for microclimatic temperature and its use in mosquito population modeling.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- A Retrospective Study of Climate Change Affecting Dengue: Evidences, Challenges and Future Directions.Frontiers in public health · 2022Pooled it
- An Explainable Machine Learning Framework for Predicting West Nile Virus and Uncovering Key Transmission Drivers.GeoHealth · 2026Article
- Integrating Wind Speed Into Climate-Based West Nile Virus Models: A Comparative Analysis in Two Distinct Regions.GeoHealth · 2025Article
- Thermal tolerance of Aedes aegypti mosquito eggs is associated with urban adaptation and human interactions.Journal of thermal biology · 2025Article
- Causal drivers of mosquito abundance in urban informal settlements.Environmental research letters : ERL [Web site] · 2025Article
- Effects of climatic and environmental factors on mosquito population inferred from West Nile virus surveillance in Greece.Scientific reports · 2023Article
- Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model.Scientific reports · 2023Article
- The effects of microclimatic winter conditions in urban areas on the risk of establishment for Aedes albopictus.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Mosquitoes transmit several infectious diseases that pose significant threat to human health. Temperature along with other environmental factors at breeding and resting locations play a role in the organismal development and abundance of mosquitoes. Accurate analysis of mosquito population dynamics requires information on microclimatic conditions at breeding and resting locations. In this study, we develop a regression model to characterize microclimatic temperature based on ambient environmental conditions. Data were collected by placing sensor loggers at resting and breeding locations such as storm drains across Houston, TX. Corresponding weather data was obtained from National Oceanic and Atmospheric Administration website. Features extracted from these data sources along with contextual information on location were used to develop a Generalized Linear Model for predicting microclimate temperatures. We also analyzed mosquito population dynamics for Aedes albopictus under ambient and microclimatic conditions using system dynamic (SD) modelling to demonstrate the need for accurate microclimatic temperatures in population models. The microclimate prediction model had an R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.