AUTHOR=Borges Iuri Valerio Graciano , Musah Anwar , Dutra Livia Marcia Mosso , Tunali Merve , Lima Clarisse Lins , Tunali Mehmet Meric , da Silva Ana Clara Gomes , Aldosery Aisha , Moreno Giselle Machado Magalhães , dos Santos Wellington P. , Massoni Tiago , Yenigün Orhan , Kostkova Patty , da Rocha Rosmeri Porfirio , Campos Luiza C. , Ambrizzi Tercio 

TITLE=Analysis of the interrelationship between precipitation and confirmed dengue cases in the city of Recife (Brazil) covering climate and public health information

JOURNAL=Frontiers in Public Health

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1456043

DOI=10.3389/fpubh.2024.1456043

ISSN=2296-2565

ABSTRACT=Large-scale epidemics of arboviruses, such as dengue, have raised an alert for society regarding the fight against their main transmission vectors. Additionally, there is a need to identify the conducive environments, conditions and variables that have greater influence and effect on these vector populations. Aedes aegypti is the main transmission vector in Brazil of arboviruses such as Dengue and Zika, and its presence and population growth are closely linked to climate and geographic conditions of Brazilian cities. This work analyses the interrelationship between precipitation and confirmed cases of dengue in the city of Recife (Brazil). It employs regression and quantile analysis to explore the influence of weather conditions with the disease clinic itself by applying the serotype counts of dengue. The direct correlation between precipitation and confirmed cases is only seen when their monthly averages are evaluated without taking into account the years of epidemic peaks. This shows that the months with the highest and lower numbers of cases occur in the rainy and dry seasons, respectively. It is also evident that weak, moderate, and strong precipitations are the ones that have the greatest connection with the periods of increased cases in the city. When evaluating the data through multivariate regression, it shows that meteorology has a greater influence on the maintenance of a conducive environment for the proliferation of the mosquito. This is by creating breeding sites from rainwater, while the serotypes interfere directly in the epidemics, increasing the number of cases sharply regardless of the weather conditions.