Background: Dengue is a disease related to the environment that spreads rapidly. Prevention movement is considered ineffective; therefore, a more efficient early warning system is required. It is required strongly correlated variables to as predictor in early warning system. This study aims to identify the environmental conditions associated with dengue. Materials and methods: This ecological study was conducted on five sub-districts selected based on the trend of the incidence. Data land cover and elevation obtained using GIS. Climate data were obtained from Meteorology and Climatology and Geophysics Agency of Yogyakarta. Results: There were 1.150 dengue cases from 2008-2013 obtained from District Health Office. The spatial pattern is clustered in all sub-districts (Z-score < -2.58). There is a positive correlation between land cover and dengue (p 0.000; r 0.284) and a negative correlation between elevation areas and dengue (p 0.000; r -0.127). Multiple Regression Test shows the effect of humidity (p 0.000) and rainfall (p 0.002) with a contribution of 13.5% -27.4% (r 2 0.135 -0.274), while temperature has no effect in all sub-districts (p > 0.05). There is no effect of climate parameters in sporadic dengue areas (p > 0.05). Conclusion: It is concluded that dengue in Sleman is clustered and associated with the environment parameter, even though it does not have close correlation. High elevated and small building area is consistent with the lower dengue cases. Humidity and rainfall affect dengue, but temperature does not affect dengue.

Dengue is a viral disease, transmitted by Aedes aegypti, and is still a big problem in tropical areas, including Indonesia, where the temperatures are relatively warm and suitable for vector mosquito life. In the dry season, the day and night temperature differences are quite sharp and, at that time, the number of dengue cases is low. In this study, the difference between day and night temperature is referred to as daily temperature fluctuation and represented by the maximum and minimum temperature difference in each month. The research was conducted in Sleman Regency, Yogyakarta Province, Indonesia, as an endemic area, and the data were collected from 4 endemic areas in Sleman; Gamping, Godean, Sleman, and Depok districts. The data collected were quantitative with serial data retrospective. Secondary data of monthly dengue incidence in the years 2008 - 2013 were obtained from the Regency Health Office and used as a dependent variable. Monthly minimum and maximum temperatures in the same periods were obtained from the Agency of Meteorology, Climatology, and Geophysics. The differences between the minimum and maximum temperatures were calculated, to be used as independent variable data, and represented the different day and night temperatures of the month. Data were analyzed by using linear regressions to determine the influence of fluctuating temperature on the incidence of dengue. Results show that fluctuating temperature affected dengue incidence in the districts of Godean (p = 0.000; R2 = 0.207) and Gamping (p = 0.006; R2 = 0.125), but did not affect it in Sleman (p = 0.164) or Depok (p = 0.075). The data suggests that fluctuating temperature affected dengue incidence with powers of 20.7 % in Godean and 12.5 % in Gamping.

How can the signs and symptoms of transurethral resection prostate (TURP) syndrome be identified by nurses? This study aimed to develop a nursing instrument to assess TURP syndrome. TURP syndrome is a complication that potentially occurs during TURP surgery. It is a water intoxication related to hyponatremia and acid‐based imbalance. This syndrome should be recognized early in order to prevent fatality. This pilot study employed a participatory action research combined with statistical analysis for validity and reliability testing. Twenty‐eight Indonesian urological nurses and one urologist medical doctor were engaged in this study. Informed consent was obtained before study outset. The study was entirely accomplished at Muhammadiyah Hospital I and II, Yogyakarta, Indonesia. Pearson's correlations test of each item was measured with correlation coefficient greater than 0·40 considered as evidence of satisfactory item convergence validity. The instrument reliability test was confirmed by Cronbach's α coefficients with score greater than 0·433 supposed as a reliable instrument. This study obtained a nursing instrument to assess TURP syndrome which involved 15 aspects as follows: disorientation, headaches, altered states of consciousness, visual disturbances, nausea and vomiting, hypertension, rhonchi sound, tachycardia, abnormal capillary refill‐time, tachypnea, hyponatremia, hyperkalemia, anaemia, increased urea and creatinine, and lower‐extremities oedema. A nursing instrument to assess TURP syndrome was established. Nevertheless, further investigation is required among patients who are suspected of having TURP syndrome to increase instrument accuracy.

Malaria is one of the global health problems that is faced by many countries, including Indonesia. This study aimed to examine the association between demographic and attitude factors with malaria prevention in the rural areas of Purworejo District, Indonesia. A community survey was conducted in Purworejo District that involved 147 respondents by using simple random sampling to select the respondents. A questionnaire interview was used to collect data about demographic factors, attitudes, and malaria prevention practices. A Chi-square test was performed to examine the association between demographic and attitude factors with the practice of malaria prevention in the community. Among 147 respondents, 80 (54.4%) respondents conducted malaria prevention practice using bed mosquito net in their own houses. Demographic factors such as education level (p<0.001), occupation (p=0.016), and attitude factor (p=0.006) were significantly associated with the use of bed mosquito net for malaria prevention practice. Meanwhile, 63 (42.9%) respondents used ventilation mosquito net for malaria prevention practice. Demographic factors such as education level (p<0.001), age groups (p=0.005), occupation (p=0.002), and attitude factor (p=0.001) were associated significantly with the use of ventilation mosquito net for malaria prevention practice. Overall, malaria prevention by using both bed and ventilation mosquito nets were very low percentages. Keywords             : Malaria, prevention practice, mosquito net, IndonesiaCorrespondence   : farindira.vesti@gmail.com