Background: The tectonic activities at the meeting points of three large plates make Indonesia a high-risk disaster-prone area. Nevertheless, disaster risk reduction efforts in various regions of Indonesia are still lacking, in terms of both knowledge and the ability to analyze disaster risks. This study examines the implementation of disaster preparedness and mitigation in Indonesia. Methods: The method used in this study was narrative review. The authors collected the articles through searching for 3 data sources from 2016–2019 using Google Scholar, iSeek, and Microsoft Academic. Content analysis of all information to obtain the thematic phenomena of this study completed the methodological approach. Results: After applying the exclusion criteria and removing duplicates, six studies remained that focused on disaster mitigation in remote areas of Indonesia. Implementation of regulation and policy framework in disaster management is not yet optimal. Disaster preparedness and mitigation is characterized by the low utilization of technology and information related to the disaster, and various obstacles in the process of evacuation and transportation. Promoting local wisdom and enhancing it through integrating science can increase disaster resilience. Conclusion: The existence of a disaster-resilient village is very influential in community preparedness in dealing with disasters and other emergencies. This study provides some recommendations for disaster risk reduction: a) strengthening policies related to evacuation procedures in the health sector by local government, b) integrating transportation modes in remote areas, c) enhancing all parties with education and training, d) establishing community-based information systems; and e) strengthening the disaster resilience of villages.

Background: Globally, in 2020, 45 million children were estimated to be wasted, and 149 million children under five years of age were estimated to be stunted. Undernutrition makes children in particular much more vulnerable to disease and death. Our study aims to examine geographic and socioeconomic disparities in child undernutrition across 514 districts in Indonesia. Methods: Employing both geospatial and quantitative analyses (descriptive statistics and Ordinary Least Squares regressions), we analyzed the disparities in the prevalence of underweight, severe underweight, wasting, severe wasting, stunting, and severe stunting among districts. Child undernutrition data were from Indonesia Basic Health Survey (Riskesdas) 2018, which included a sample of 93,620 children under five years. Socioeconomic data were from the World Bank. Results: We found a relatively large geographic and socioeconomic disparity in child undernutrition in Indonesia. By region, districts in the Papua region (including Maluku and Nusa Tenggara) had a significantly higher prevalence of underweight and wasting than those in the Java region (including Bali). Districts in Papua had 44%, 121%, 38%, and 57% higher prevalence of underweight, severe underweight, wasting, and severe wasting, respectively. Similarly, the poorest districts had a significantly higher prevalence of underweight, wasting, and stunting than the wealthiest districts. The poorest districts had 30%, 83%, 16%, 21%, and 74% higher prevalence of underweight, severe underweight, wasting, stunting, and severe stunting, respectively. These results were similar among rural districts. Conclusion: There is a significant disparity in child undernutrition across districts in Indonesia. The government needs to prioritize the reduction of child undernutrition, especially in rural areas, districts outside of Java and Bali, and the poorest and least educated areas.

Objectives:Indonesia responded the COVID-19 pandemic slowly these last months. The recent reports shown that the rate performance of Indonesian government in handling COVID-19 posits at the 4th worst all over the world. Meanwhile, through responsive, strict, and strategic policy, some Asia countries pushed the elimination case by doing lockdown. This paper questioned how government respond this pandemic, tried to track down the unresponsive and slow decisions, and analyze them comprehensively trough policy system framework. Moreover, we also considered a few feasible and strategic recommendations to accelerate the pandemic responding.Methods:To visualize the anatomy of problems in handling these pandemic responses, this work applied Easton's black box analysis in formulating and introducing public policy. The black box analysis would help us to portray and understood the interests, rationalities, and priorities behind introducing public policies which was implemented to handle this health problem. Besides, the policy triangle framework was used to analyze how environment influenced key actor in making decision.Results:This analysis study discovered the conflict interests in formulating and implementing public policy in handling COVID-19. The public policies are negotiated, discussed, and formulated under black box that ignore transparency, and other good governance principles. Consequently, the substance of public policy represents a certain interest of policy makers, that may conflict with the others and often contradict to the constitutional-based public interests, that is public health. It was impacted the emergence of messy and uncoordinated institutions that implement the conflicted policies. Undeniably, this situation may spark counter-productive ways, attitudes, and actions of people in responding those ambiguous policies. Therefore, this work recommended revising the coherences norms and public policies; reforming the ministry of health in public health's paradigm context; and improving the integration and coordination of cross related institutions, creating a single data on public health, and changing a new paradigm of people, including improving collective awareness in responding and handling COVID-19 appropriately.

Background: Globally, it was estimated that over 650 million adults 18 years old and older were obese in 2016. It is an increasing global health challenge with a significant health and economic impact. Thus, understanding geographic and socioeconomic disparities in obesity among adults is crucial. Methods: We combined geospatial and quantitative analyses to assess the disparity in obesity across 514 districts in Indonesia. We used the Basic Health Survey (Riskesdas) 2018 for obesity data and the World Bank database for socioeconomic data. Dependent variables included obesity prevalence among all adults (18+ years), males, females, young adults (18–24 years), adults (25–59 years), and older adults (60+ years). Results: We found significant geographic and socioeconomic disparities in adult obesity in Indonesia. In terms of region, districts in Java and Bali had a significantly higher prevalence of obesity than those in Papua, Maluku, and Nusa Tenggara. Districts in Java had 29%, 32%, 60%, and 28% higher prevalence of obesity among all adults, female adults, young adults, and adults. By income, compared to the poorest ones, most affluent districts had a significantly higher prevalence of obesity; they had a 36%, 39%, 34%, 42%, 33%, and 73% higher prevalence of obesity among all adults, males, females, young adults, adults, and older adults. Similarly, by education, compared to the least educated ones, the most educated districts had a significantly higher prevalence of obesity; they had a 34%, 42%, 29%, 36%, and 80% higher prevalence of obesity among all adults, males, females, adults, and older adults. Conclusions: There are significant disparities in adult obesity among 514 districts in Indonesia. Efforts by policymakers and stakeholders are needed to reduce obesity among adults, especially within districts with high prevalence.