Background: Diarrhoea is an infectious disease with a high level of morbidity and mortality in the community. Spatial analysis is one of the analytical techniques for managing diarrhoea data and helping the government formulate policies.   Objectives: This study aims to detect the spatial autocorrelation of diarrhoea in East Java using the Moran's Index.   Methods: This study was non-reactive. This study used secondary data sourced from the 2021 East Java Health Profile. The population in the study was all districts/cities in East Java. The sampling technique was carried out by total sampling. The research sample was 38 districts/cities. Data analysis through mapping and spatial autocorrelation detection.   Results: Mapping of diarrhoea showed that out of 38 districts/cities, there were 13 areas with a category of high diarrhoea, 12 areas with a category of moderate diarrhoea, and 13 areas with a category of low diarrhoea. The significance value of Moran's I test was obtained at 0.03 (<α=0.05). There were three areas included in the High-High category, one area included in the Low-Low category, and three areas included in the Low-High category.   Conclusion: The diarrhoea in districts/cities in East Java Province could affect the diarrhoea in adjacent districts/cities. The existence of spatial autocorrelation in diarrhoea should be a serious concern for all elements, both the government and the people of East Java. We need further research to identify factors affecting diarrhoea in East Java.

COVID-19 cases in Indonesia still remain a concern, particularly for public health. Several factors, such as gender, age, comorbidity, occupation, and vaccination status, might influence COVID-19 infection. Individuals who have many predicting factors have a higher risk of being infected by COVID-19. Other studies have not yet shown the significance of predicting factors for COVID-19 infection in Indonesia. The study explored the association between the predicting factors and COVID-19 infection in Indonesia. The study used a cross-sectional method with a population of all Indonesian communities. It was conducted in August 2021 by distributing a Google Form questionnaire in Indonesia. By a saturated sampling of the population in Jawa, Sumatera, Sulawesi, Kalimantan, and Papua, 776 Indonesians were selected; they were aged > 17 years and voluntarily completed the questionnaires. whereas respondents with incomplete data were excluded from this study. The data were analyzed using a binary logistic regression test in SPSS (version 21.0). The respondents include 134 men (17.3%) and 642 women (82.7%). The binary logistic regression analysis showed that COVID-19 infection was more common among respondents who were non-health-care workers (p  0.001) and less common among those who had been fully vaccinated (p  0.001). The COVID-19 infection was significantly associated with occupation and vaccination status.  Keywords: COVID-19 Infection, Predicting Factors, Public Health, Health-Care Worker, COVID-19 Vaccination, Comorbidity

Insomnia was a problem of Covid-19 patients often moaned because the physical and psychological condition of patients are weak. This study aims to analyze the association between respondent’s characteristics, social factors, and medication adherence with insomnia when Covid-19 survivor become isolated patients. This study used a descriptive and analytical cross-sectional design. The study was conducted in August 2021. The population of this study was all Covid-19 survivors. The sample of this study was part of Covid-19 survivors with a total number of 191. Data were collected by an online questionnaire via google form and analyzed by chi-square test. Almost all respondents (83.77%) were female, and most of the respondents (73.30%) worked as health workers. The age mean of the respondents was 31.51 (SD 8.82, min=18, max=60). Insomnia was experienced by almost half of the respondents (41.36%). There was no association between sex (OR = 1.92, 95% CI 0.89-4.17; p=0.113), type of work (OR = 1.11, 95% CI 0.58-2.11; p=0.868), medication adherence (OR = 0.47, 95% CI 0.05-4.56; p=0.644), and motivation (p=0.269) with insomnia. There was an association between optimism (p=0.043) and discrimination (OR=4.19, 95% CI 1.86-9.43, p=0.001) with insomnia. Insomnia was experienced by almost half of isolated patients in inpatient rooms of Indonesian health care facilities. Factors associated with insomnia were optimism and discrimination. Treatment for Covid-19 patients should pay attention to their physical care and give psychological care.

Background: Disaster preparedness is a habit that we must cultivate in order to safeguard ourselves, people around us, and the environment. Indonesia in high-earthquake zones require well-established plans for dealing with the damage brought on by earthquakes.   Objectives: The aim of this research to see the relationship between the level of disaster knowledge and attitudes of earthquake disaster preparedness in Civities Academic of Kerta Cendekia Health Polytechnic.   Methods: This research used a descriptive correlational study design with a cross sectional approach. The population in this study was conducted in Kerta Cendekia Health Polytechnic, totaling population of civities academic were 238 people. The sampling technique used is simple random sampling technique with a sample of 70 respondents. The data were processed using the Spearmen statistical test.   Results: The result of research was mostly 44 respondents (63%) very high level of knowledge on earthquake preparedness, 48 respondents (68%) classified very good of attitudes on earthquake preparedness. The results of statistical tests of knowledge with attitudes of earthquake preparedness had significant relationship p-value 0,610.   Conclusion: There is a relationship between level of disaster knowledge and attitude of earthquake disaster preparedness in civities academic of Kerta Cendekia Health Polytechnic. By taking part in disaster mitigation training, Kerta Cendekia Health Polytechnic can learn how to handle disasters effectively. So that people can take action to protect themselves against preparedness of disaster management, which will improve their quality of life and save their lives.

Background: Healthcare workers in Indonesia have been prioritized for vaccination. Nevertheless, fully vaccinated healthcare workers are still at risk of being infected with COVID-19, but will be less likely to develop severe symptoms, be hospitalized or be at risk for death as compared to those who have not been vaccinated. Objectives: This study aims to analyze the incidence of COVID-19 in fully vaccinated healthcare workers. Methods: This cross-sectional study was conducted in 2021. All healthcare workers who have been fully vaccinated, have recovered from COVID-19 (2-4 weeks after vaccination) and able to complete a questionnaire were the participants. The collected data was then analyzed using the cascade method. Results: Based on the 529 collected questionnaires, by using the cascade analysis conclude that the percentage of healthcare workers who have been fully vaccinated was 99%, healthcare workers who have been fully vaccinated and then infected with COVID-19 was 14%, healthcare workers who have been fully vaccinated, infected with COVID-19 and hospitalized was 4%, healthcare workers who have been fully vaccinated, exposed to COVID-19, hospitalized and experienced the long-haul effect of COVID-19 was 0%. Discussion: Health workers are still at risk of being confirmed by COVID-19, because have high risk of being exposed in the workplace. The risk of being confirmed and severity are also influenced by age, gender and comorbidities. Conclusions: Complete vaccinations of healthcare workers did not reduce their risk of being infected with COVID-19, however, it can reduce the severity and the risk of the long-haul effects.