Lintje Boekoesoe
All of regions in Indonesia are at risk against spread of dengue fever, because a virus or vector has been spread throughout in residential and public places in all regions of Indonesia. DHF epidemic period which mainly take place during the rainy season is closely related with high humidity during on rainy season which provide an optimal environment for incubation period and increased of vectors biting activity. The utilization of GIS as a tools for analyze spatial, lately has been used with widely in public health sciences. This research was describing pattern of dengue fever spreads incidence and application of geographic information system data on surveillance activities for dengue control efforts in Dungingi Subdistrict of Gorontalo City. This research was descriptive analytic with ecological and geographic information approach, design study used a time series. Data used was monthly incidence of dengue fever data which derived from data Public health center of Dungingi and climate data such rainfall, rainy day and the temperature obtained from the Meteorology and Geophysics Agency (BMKG) for period 2010 to 2014. Accorded with spearman correlation test, the spread pattern of dengue incidence in Dungingi Subdistrict of Gorontalo city was not related with climatic factors (temperature, humidity, rainfall and rainy days) p > 0,05. The spread pattern of dengue incidence in Dungingi Subdistrict City of Gorontalo was no related with climatic factors (temperature, humidity, rainfall and rainy days). Required an innovation by implementing a geographic information system technology into surveillance activities for improve the early warning and designed control measures based on spatial distribution of risk factors.
Departement of Public Health, Faculty of Sport and Health Science, State University of Gorontalo, Indonesia
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