The conversion of Indonesian tropical peatlands has been associated with the recurring problems of peatland fires and smoke affecting humans and the environment. Yet, the local government and public in the affected areas have paid little attention to the impacts and costs of the poor air quality on human health. This study aims to analyse the long-term health impacts of the peat smoke exposure to the local populations. We applied the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to determine the smoke dispersion and the associated PM2.5 concentrations of the resulted plumes from the fire hotspots in the deep and shallow peatlands in Central Kalimantan, Indonesia, that occurred during a 5-year period (2011–2015). We subsequently quantified the long-term health impacts of PM2.5 on the local people down to the village level based on the human health risk assessment approach. Our study shows that the average increase in the annual mean PM2.5 concentration due to peatland fires in Central Kalimantan was 26 μg/m3 which is more than twice the recommended value of the World Health Organisation Air Quality Guidelines. This increase in PM2.5 leads to increased occurrence of a range of air pollution–related diseases and premature mortality. The number of premature mortality cases can be estimated at 648 cases per year (26 mortality cases per 100,000 population) among others due to chronic respiratory, cardiovascular and lung cancer. Our results shed further light on the long-term health impacts of peatland fires in Indonesia and the importance of sustainable peatland management.
We conducted a case study of National Centers for Environmental Prediction Climate Forecast System version 2 seasonal model forecast performance over Indonesia in predicting the dry conditions in 2015 that led to severe fire, in comparison to the non‐El Niño dry season conditions of 2016. Forecasts of the Drought Code (DC) component of Indonesia's Fire Danger Rating System were examined across the entire equatorial Asia region and for the primary burning regions within it. Our results show that early warning lead times of high observed DC in September and October 2015 varied considerably for different regions. High DC over Southern Kalimantan and Southern New Guinea were predicted with 180 day lead times, whereas Southern Sumatra had lead times of up to only 60 days, which we attribute to the absence in the forecasts of an eastward decrease in Indian Ocean sea surface temperatures. This case study provides the starting point for longer‐term evaluation of seasonal fire danger rating forecasts over Indonesia.
Background Indonesian peatlands have been drained for agricultural development for several decades. This development has made a major contribution to economic development. At the same time, peatland drainage is causing significant air pollution resulting from peatland fires. Peatland fires occur every year, even though their extent is much larger in dry (El Niño) years. We examine the health effects of long-term exposure to fine particles (PM2.5) from all types of peatland fires (including the burning of above and below ground biomass) in Sumatra and Kalimantan, where most peatland fires in Indonesia take place. Methods We derive PM2.5 concentrations from satellite imagery calibrated and validated with Indonesian Government data on air pollution, and link increases in these concentrations to peatland fires, as observed in satellite imagery. Subsequently, we apply available epidemiological studies to relate PM2.5 exposure to a range of health outcomes. The model utilizes the age distribution and disease prevalence of the impacted population. Results We find that PM2.5 air pollution from peatland fires, causes, on average, around 33,100 adults and 2900 infants to die prematurely each year from air pollution. In addition, peatland fires cause on average around 4390 additional hospitalizations related to respiratory diseases, 635,000 severe cases of asthma in children, and 8.9 million lost workdays. The majority of these impacts occur in Sumatra because of its much higher population density compared to Kalimantan. A main source of uncertainty is in the Concentration Response Functions (CRFs) that we use, with different CRFs leading to annual premature adult mortality ranging from 19,900 to 64,800 deaths. Currently, the population of both regions is relatively young. With aging of the population over time, vulnerabilities to air pollution and health effects from peatland fires will increase. Conclusions Peatland fire health impacts provide a further argument to combat fires in peatlands, and gradually transition to peatland management models that do not require drainage and are therefore not prone to fire risks.
ABSTRAK Salah satu penyebab Angka Kematian Ibu (AKI) adalah komplikasi dalam kehamilan maupun persalinan. Komplikasi kehamilan dan persalinan dapat dicegah dengan pemeriksaan antenatal care (ANC) secara teratur. ANC merupakan kunjungan ibu hamil dengan tenaga kesehatan untuk mendapatkan pelayanan kehamilan sesuai dengan standar yang ditetapkan. Data yang diperoleh dari puskesmas Slawi bulan Januari-Juni tahun 2019 untuk cakupan kunjungan K1 sebanyak 82,1% dan cakupan K4 sebanyak 79%.Tujuan penelitian ini untuk mengetahui kepatuhan kunjungan ANC berdasarkan faktor determinan maternal. Penelitian ini menggunakan penelitian kuantitatif dengan pendekatan cross sectional. Sampel pada penelitian sejumlah 30 ibu hamil menggunakan teknik accidental sampling dan analisis data menggunakan uji chi square. Hasil penelitian menunjukan mayoritas usia ibu reproduktif sebesar 66,67%, status multigravida (kehamilan kedua dan ketiga) sebesar 66.67%, kehamilan normal (60%) dan telah memenuhi standar K1 sebesar 83.33% dan memenuhi standar K4 sebesar 86.67%. Ada hubungan antara usia ibu hamil dengan dengan kepatuhan kunjungan ANC (p value 0,02) dan ada hubungan status paritas dengan kepatuhan kunjungan ANC (p value 0,04) dan tidak ada hubungan komplikasi kehamilan dengan kepatuhan kunjungan ANC.Kata kunci : ibu hamil; kepatuhan; antenatal care ANTENATAL CARE VISIT COMPLIANCE BASED ON MATERNAL FACTORS ABSTRACTOne of the causes of maternal mortality is complications in pregnancy and childbirth. Pregnancy and childbirth complications can be prevented by regular antenatal care visit. ANC is a visit of pregnant women with health workers to get health service in accordance with established standards. Data obtained from Slawi Health Centre in January-June 2019 for coverage of Phase 1 visits was 82.1% and phase 4 coverage was 79%. The objevtive of this study was to determine the regularity of ANC based on maternal determinants. This study was quantitative research with a cross sectional approach. The number of respondents was 30 pregnant women by using accidental sampling technique. The study was conducted in January-March 2020. Bivariate analysis used chi square test. The results showed that pregnant women who did ANC regularly amounted to 86.67%. The results showed that there was a relationship between age with antenatal care visit because the p value was 0.02, there was a relationship between parity with antenatal care visit with p value 0.04, and there was no relationship between pregnancy diagnosis with antenatal care visit because the p value was 0.08. Pregnant women are expected to perform ANC regularly for early detection of complications in pregnancy. Keywords: pregnant women; compliance; antenatal care
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