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Article | IMSEAR | ID: sea-209656

ABSTRACT

Context:This research is performed in Banjarnegara, anendemic malaria area in Indonesia. Considering the incidence of malaria in Indonesia in the last ten years, it is essential to assess the potential risk factors to maintain the cases and to accelerate malaria elimination.Aims:This study examined the potential risk factors from the human socio-economic aspect and human behavior for malaria cases.Settings and Design:This is a match case-control study conducted in 34 cases and 34 controls in Banjarmangu Subdistrict, Banjarnegara, Indonesia. The subjects for the two groups were based on the routine report of Banjarmangu I public health center from July 2017–March 2018. Inclusion and exclusion criteria were applied to select the subject. Statistical Analysis:Logistic regression was used to seek the association among the variables. Results:This research found that installing wire netting, not sleeping under a bed net, and consuming higher transportation costs were significant protective factors for malaria cases. Having lower family income was significant as a potential risk factor for malaria cases (OR=10.68, CI = 1.01-112.59).Conclusions:This study may explain that economic income was the essential aspect of malaria prevention as it contributed to the other health issues, such as health-seeking behavior

2.
Article | IMSEAR | ID: sea-201125

ABSTRACT

Background: Dengue is a significant public health problem in the mostly tropical country such as Indonesia. Even though many efforts have been established in Indonesia, in fact, dengue remains drawing attention from the health sector. Geographic Information System (GIS) is a powerful tool to support dengue surveillance on understanding the dengue pattern with the goal to give input for the decision maker. Accordingly, there is a need to providing the presence and the dynamic of dengue case particularly in Sleman district to establish evidence on building dengue control strategy.Methods: A descriptive study using GIS was performed to provide a spatial-temporal mapping of dengue case. Secondary data which sourced from Sleman district health office was collected for period 2014-2017. This data was grounded into subdistrict level. Quantum GIS and Microsoft Excel were used to analyse the data.Results: During 2014-2017 dengue spreads over the Sleman district. In 2016, found the increased of subdistrict with high dengue case. The high dengue case found in sub-district with an urban characteristic.Conclusions: Mapping of dengue using GIS is helpful to understanding the disease presence and dynamic disease over time.

3.
Journal of Preventive Medicine and Public Health ; : 148-153, 2018.
Article in English | WPRIM | ID: wpr-714767

ABSTRACT

OBJECTIVES: Malaria remains a public health concern worldwide, including Indonesia. Purworejo is a district in which endemic of malaria, they have re-setup to entering malaria elimination in 2021. Accordingly, actions must be taken to accelerate and guaranty that the goal will reach based on an understanding of the risk factors for malaria. Thus, we analysed malaria risk factors based on human and housing conditions in Kaligesing, Purworejo, Indonesia. METHODS: A case-control study was carried out in Kaligesing subdistrict, Purworejo, Indonesia in July to August 2017. A structured questionnaire and checklist were used to collect data from 96 participants, who consisted of 48 controls and 48 cases. Univariate, bivariate, and multivariate analyses were performed. RESULTS: Bivariate analysis found that education level, the presence of a cattle cage within 100 m of the house, not sleeping under a bednet the previous night, and not closing the doors and windows from 6 p.m. to 5 a.m. were significantly (p≤0.25) associated with malaria. Of these factors, only not sleeping under a bednet the previous night and not closing the doors and windows from 6 p.m. to 5 a.m. were significantly associated with malaria. CONCLUSIONS: The findings of this study demonstrate that potential risk factor for Malaria should be paid of attention all the time, particularly for an area which is targeting Malaria elimination.


Subject(s)
Animals , Cattle , Humans , Case-Control Studies , Checklist , Education , Housing , Indonesia , Malaria , Multivariate Analysis , Public Health , Risk Factors
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