Search

Background: Jombang District is an endemic area of dengue hemorrhagic fever (DHF). Purpose: The aim of this study was to spatially analyze various factors simultaneously (multivariate analysis) in relation to the incidence of DHF in Jombang District during the period 2014–2018. The factors studied were population density, larvae free index, rainfall, coverage of healthy homes, and healthy lifestyle coverage. Methods: The research was conducted as an observational study with an ecology research design. The data were secondary data from the Health Office and Statistic Central Bureau of Jombang District. The population consisted of 21 sub-districts in Jombang District in 2014–2018. The sample used the total population. The data analysis tool used in this study was GeoDa regression Moran's I software. Results: The bivariate analysis showed that there was a correlation between larvae free index (p = 0.04), healthy lifestyle coverage (p = 0.02), rainfall intensity (p = 0.20), population density (p = 0.07), and coverage of healthy houses (p = 0.22) with DHF incidence. According to Moran's I for spatial dependence (multivariate analysis), showed that there was a correlation between all the variables and DHF (p = 0.03). Conclusions: The variables of larvae free index and healthy lifestyle coverage related to the Incidence Rate (IR) of DHF cases. There was no correlation between IR and variable population density, rainfall, or coverage of healthy homes. Various spatial factors are simultaneously related to IR, even though only two variables are shown to be related to IR in the bivariate analysis.

Background: Jombang District is an endemic area of dengue hemorrhagic fever (DHF). Purpose: The aim of this study was to spatially analyze various factors simultaneously (multivariate analysis) in relation to the incidence of DHF in Jombang District during the period 2014–2018. The factors studied were population density, larvae free index, rainfall, coverage of healthy homes, and healthy lifestyle coverage. Methods: The research was conducted as an observational study with an ecology research design. The data were secondary data from the Health Office and Statistic Central Bureau of Jombang District. The population consisted of 21 sub-districts in Jombang District in 2014–2018. The sample used the total population. The data analysis tool used in this study was GeoDa regression Moran's I software. Results: The bivariate analysis showed that there was a correlation between larvae free index (p = 0.04), healthy lifestyle coverage (p = 0.02), rainfall intensity (p = 0.20), population density (p = 0.07), and coverage of healthy houses (p = 0.22) with DHF incidence. According to Moran's I for spatial dependence (multivariate analysis), showed that there was a correlation between all the variables and DHF (p = 0.03). Conclusions: The variables of larvae free index and healthy lifestyle coverage related to the Incidence Rate (IR) of DHF cases. There was no correlation between IR and variable population density, rainfall, or coverage of healthy homes. Various spatial factors are simultaneously related to IR, even though only two variables are shown to be related to IR in the bivariate analysis.

Background: Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus which spreads more widely and the morbidity rate increases every year in East Java Province. DHF transmitting vector is widespread in residential areas and in public places, population density, population mobility, increasing urbanization. Purpose: This study aims to describe the number of cases, Incidence Rate (IR), Case Fatality Rate (CFR), and the peak incidence of DHF in East Java Province in 2015-2017. Method: This study is a descriptive approach study with a population that is all East Java residents who are at risk of suffering from dengue. This study uses a total population technique that involves all DHF cases recorded in the East Java Provincial Health Profile for 2015-2017. The data used are secondary data obtained from the Health Profile of East Java Province in 2015-2017, namely the number of DHF cases, gender, morbidity and mortality rates due to DHF. Data were analyzed using IR and CFR formulas. Results: The number of DHF cases in East Java in 2015 to 2017 fluctuated. DHF morbidity rates have increased in 2016 while 2017 has decreased. The mortality rate in East Java in 2015-2017 has decreased. DHF events often occur in male sex. Conclusion: DHF is a vector-borne disease with rapid spread. The occurrence of dengue hemorrhagic fever every year there is an increase in cases and deaths of almost all districts / cities in East Java.

Background: Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus which spreads more widely and the morbidity rate increases every year in East Java Province. DHF transmitting vector is widespread in residential areas and in public places, population density, population mobility, increasing urbanization. Purpose: This study aims to describe the number of cases, Incidence Rate (IR), Case Fatality Rate (CFR), and the peak incidence of DHF in East Java Province in 2015-2017. Method: This study is a descriptive approach study with a population that is all East Java residents who are at risk of suffering from dengue. This study uses a total population technique that involves all DHF cases recorded in the East Java Provincial Health Profile for 2015-2017. The data used are secondary data obtained from the Health Profile of East Java Province in 2015-2017, namely the number of DHF cases, gender, morbidity and mortality rates due to DHF. Data were analyzed using IR and CFR formulas. Results: The number of DHF cases in East Java in 2015 to 2017 fluctuated. DHF morbidity rates have increased in 2016 while 2017 has decreased. The mortality rate in East Java in 2015-2017 has decreased. DHF events often occur in male sex. Conclusion: DHF is a vector-borne disease with rapid spread. The occurrence of dengue hemorrhagic fever every year there is an increase in cases and deaths of almost all districts / cities in East Java.

This report describes the development of models used in the Navigation Aid Analysis Tool (NAAT), a self-contained software product that computes the probability of being in a given system state, most commonly, the incident state, for a user-constructed scenario of surface marine navigation in harbor entrance and approach navigation areas. The report describes error models of visual navigation systems, constructed so as to place them on an equal footing with other commonly used radionavigation systems. The report also traces the methods used to create a dynamic Markov state space model, necessary for determining incident rates for arbitrary input of user navigation systems, navigation areas, and vessel characteristics. For a given scenario, the computed incident rate may be compared to the target level of safety to determine if navigation requirements are met.