Mosqlimate

Grant number: 226088/Z/22/Z

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Key facts

  • Disease

    Unspecified, Unspecified
  • Start & end year

    2023
    2027
  • Known Financial Commitments (USD)

    $624,411.32
  • Funder

    Wellcome Trust
  • Principal Investigator

    Prof Flávio Codeco Coelho
  • Research Location

    Brazil
  • Lead Research Institution

    Fundação Getulio Vargas
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

For 40 years, Brazil has witnessed the emergence of diseases transmitted by the mosquito Aedes aegypti: DENV-1 (1986), DENV-2 (1991), DENV-3 (2001), DENV-4 (2010), Chikungunya (2014), and Zika (2015), with severe human and economic costs. Viruses at risk of introduction are Nhong-nhong, Mayaro, and Oropouche. Misdiagnosis is common, and emergence of new viruses can go largely unnoticed. New tools are needed to increase the precision of arbovirus surveillance and control in preparation for climate change. Mosqlimate is a multi-disease tool with two main goals: 1) estimate probabilities of change in pattern of disease transmission in response to climate and land use changes; 2) identify circulating viruses during outbreaks when information is incomplete. Mosqlimate will detect signs of expansion of arbovirus transmission areas, as well as signs of outbreaks potentially linked to new arboviruses. The tool will flexibly feed on climate and epidemiological data whenever available. Another tool, OviCounter, will fill in the mosquito data gap by providing digital technology to improve the use of eggtraps for mosquito surveillance at large scale. As output, Mosqlimate will deliver measures of risk to integrate into the Brazilian early warning system "Infodengue" and its mature community of practice.

Publicationslinked via Europe PMC

Last Updated:38 minutes ago

View all publications at Europe PMC

Unraveling regional variability in Dengue outbreaks in Brazil: leveraging the Moving Epidemics Method (MEM) and climate data to optimize vector control strategies.

Large-scale epidemiological modelling: scanning for mosquito-borne diseases spatio-temporal patterns in Brazil.

Effect of Sexual Partnerships on Zika Virus Transmission in Virus-Endemic Region, Northeast Brazil.

The expansion of chikungunya in Brazil.