Dengue fever is a global public health problem, with increasing incidence in urban areas, especially in tropical and subtropical countries. Understanding the spatial distribution of cases is crucial for developing effective prevention and control strategies.

This study used geoprocessing techniques to analyze the spatial distribution of dengue cases in [Location] during the period from [Start Year] to [End Year]. Dengue case data were obtained from official records of the local Health Department.

Methodology

Data Collection and Preparation: Dengue case data were georeferenced, that is, geographic coordinates were assigned to each case record, allowing its spatial location.

Heat Map Creation: Using ArcGIS software, a heat map was generated to visualize the density of dengue cases in the study area. The heat map uses colors to represent the concentration of cases, with hotter areas indicating higher incidence and cooler areas indicating lower incidence. Spatial Analysis: The heat map was analyzed in conjunction with other geographic information, such as environmental characteristics (temperature, rainfall, altitude), socioeconomic characteristics (population density, basic sanitation) and urban characteristics (presence of risk areas, such as vacant lots and areas of water accumulation).

Software: ArcGIS and QGIS software were used for geoprocessing and spatial analysis of the data.

Results

The heat map generated revealed patterns of spatial distribution of dengue cases in. Areas with a higher concentration of cases were identified, which may be related to factors such as [list the factors identified in the analysis].