Indicators in sanitation and analysis of risk areas for arboviruses (Dengue, Zika and Chikungunya) in municipal management
Geoprocessing; Aedes aegypti; Public policies; Planning.
Communities of Social Interest in Recife, Pernambuco, are characterized as areas occupied by a low-income population living in precarious housing and sanitation services. The lack of sanitation in these areas has a cause-and-effect relationship with the proliferation of arboviruses, diseases linked to the insufficiency of these services. The city of Recife has sanitation rates below ideal, with a high rate of waste in relation to the water supply service. Given the need to universalize these services, the use of indicators functions as instruments capable of measuring problems and directing the definition of public policies. Taking into account the relationship between sanitation and arboviruses and the insufficiency of these services in the city of Recife, it is therefore justified to study the relationship between arboviruses and the lack of sanitation as an indicator of priority areas for action in the management of basic sanitation based on the spatialization of arbovirus cases. The objective of this research was to evaluate the use of indicators in the context of sanitation and to analyze the connection between arboviruses and the lack of sanitation, using this relationship as an indicator of management of the sector. The choice of the municipality of Recife-PE as the study area is based on the pre-definition of areas lacking sanitation by the municipal government in 2015, which allowed the validity of the indicator to be tested geospatially. A Systematic Literature Review (SLR) was used in order to understand the state of the art on sanitation management with the use of indicators. In addition, spatial and statistical analyses were conducted on the relationship between arboviruses and sanitation for the years 2015, 2017, 2019 and 2021 in the municipality of Recife, in Pernambuco, through the estimation of Kernel Density, for visual analysis of the studied area, the Moran Index, to evaluate spatial autocorrelation between sanitation and arboviruses and obtain arbovirus clusters, and the Markov Chain Model (MCM), to assess the probability of evolution of the systems, using the weighted average of the relationships defined by the Local Indicators of Spatial Association (LISA) to define the priority areas for action. Regarding RSL, a growing academic interest in the topic was observed, with a large number of publications, with the main research subject being the analysis of water quality. The Moran's Index showed the existence of moderate positive spatial autocorrelation between arbovirus cases and Communities of Social Interest in Recife, Pernambuco. The MCM showed low chances of improvement in the sanitary status of Recife based on the current state of the city. Most of the areas characterized as critical were in Communities of Social Interest. The critical areas outside the Communities of Social Interest were located on the margins of these regions. There is stability in the choice of indicators in the academic environment, demonstrating a possible need for new guidelines and approaches in the academic field. The results for the Moran's Index and for the LISA in Recife indicate the possibility of using the arbovirus/sanitation relationship as a possible management indicator by establishing the existence of spatial autocorrelation, mainly in the areas characterized as High-High.