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Assessing the Relationship between various Climatic Risk Factors & Mosquito Abundance in Recife, Brazil

Published: 20 November 2019 Publication History

Abstract

Recife is one of many regions in the North Eastern section of Brazil to be hit hard by the Zika virus outbreak in 2015. Zika infection is caused by the arboviruses transmitted by the Aedes mosquitoes which are abundant in Brazil. It is a known fact that increased abundance of the Aedes mosquito is typically associated with standing (or stagnant) water which serves as a reservoir or hotspot for breeding. Apart from the presence of standing (or stagnated) water in human dwellings, it is important to consider other intermediate factors that drive the mosquitoes to increase in population size. We consider the example of a set of climate conditions such as land surface temperature, humidity, precipitation, seasonality etc. These are typical risk factors that must be taken into consideration especially for the spatial and early warning prediction of breeding hotspots for the Aedes mosquito species responsible for transmitting Zika viruses in Brazil. In this work-in-progress study, we bring together historical records from a mosquito surveillance and control programme conducted by the Centre for Environmental Surveillance Agency in Recife and open source climate information. We use a population-based ecological study design to explore the regional-level spatial-temporal relationship between the prevalence of households detected to have increased mosquito larvae density and environmental risk factors such as temperature and precipitation.

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Cited By

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  • (2023)Editorial: Digital interventions and serious mobile games for health in low- and middle-income countries (LMICs)Frontiers in Public Health10.3389/fpubh.2023.115397111Online publication date: 15-Feb-2023
  • (2022)An Evaluation of the OpenWeatherMap API versus INMET Using Weather Data from Two Brazilian Cities: Recife and Campina GrandeData10.3390/data70801067:8(106)Online publication date: 30-Jul-2022
  • (2022)An ecological study exploring the geospatial associations between socioeconomic deprivation and fire-related dwelling casualties in the England (2010–2019)Applied Geography10.1016/j.apgeog.2022.102718144(102718)Online publication date: Jul-2022

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    cover image ACM Conferences
    DPH2019: Proceedings of the 9th International Conference on Digital Public Health
    November 2019
    147 pages
    ISBN:9781450372084
    DOI:10.1145/3357729
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 20 November 2019

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    Author Tags

    1. climate conditions
    2. spatial-temporal models
    3. surveillance
    4. vector control
    5. zika virus

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    Cited By

    View all
    • (2023)Editorial: Digital interventions and serious mobile games for health in low- and middle-income countries (LMICs)Frontiers in Public Health10.3389/fpubh.2023.115397111Online publication date: 15-Feb-2023
    • (2022)An Evaluation of the OpenWeatherMap API versus INMET Using Weather Data from Two Brazilian Cities: Recife and Campina GrandeData10.3390/data70801067:8(106)Online publication date: 30-Jul-2022
    • (2022)An ecological study exploring the geospatial associations between socioeconomic deprivation and fire-related dwelling casualties in the England (2010–2019)Applied Geography10.1016/j.apgeog.2022.102718144(102718)Online publication date: Jul-2022
    • (2021)A review exploring the overarching burden of Zika virus with emphasis on epidemiological case studies from BrazilEnvironmental Science and Pollution Research10.1007/s11356-021-15984-y28:40(55952-55966)Online publication date: 8-Sep-2021

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