Spatial and Demographic Distribution of Dengue Hemorrhagic Fever in Mangasa Health Center Area, 2021–2024
DOI:
https://doi.org/10.22487/p7064h55Keywords:
Demographic characteristics, Dengue hemorrhagic fever, Disease surveillance, Spatial distributionAbstract
Dengue hemorrhagic fever remains an important public health concern because of its potential to cause outbreaks and mortality. This study aimed to describe the spatial and demographic distribution of recorded dengue hemorrhagic fever cases in the Mangasa Community Health Center catchment area, Makassar City, from 2021 to 2024. The catchment area comprises Mangasa, Gunung Sari, and Mannuruki Urban Villages. This retrospective descriptive epidemiological study used secondary surveillance data. All recorded cases during the study period were included through total sampling, yielding 188 cases. Data were analyzed descriptively using frequencies, proportions, and cross-tabulations according to age group, sex, urban village, month, and year of occurrence. Monthly case distribution was presented using a line chart, while annual, demographic, and spatial distributions were summarized in tables. Spatial distribution across the three urban villages was visualized using Quantum GIS. The largest annual number of cases was recorded in 2021, with 87 cases, accounting for 46.3% of all cases. Females represented 54.3% of cases, while males represented 45.7%. The 6–17-year age group accounted for the largest proportion of cases at 41.5%. Gunung Sari and Mangasa Urban Villages each recorded 64 cases, while Mannuruki recorded 60 cases. Monthly case numbers fluctuated, with May contributing the largest overall proportion, although the peak month differed across years. Spatial distribution also varied annually, indicating that the urban village with the highest recorded number of cases was not consistent throughout the study period. These findings describe variations in recorded case distribution and should not be interpreted as differences in incidence or population risk because population denominators and non-case data were unavailable. The findings may support local surveillance and geographically targeted dengue prevention activities within the Mangasa Community Health Center catchment area.
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