Papers by gerry andhikaputra
BMC Infectious Diseases
Background This study investigated associations between climate variables (average temperature an... more Background This study investigated associations between climate variables (average temperature and cumulative rainfall), and El Niño Southern Oscillation (ENSO) and dengue-like-illness (DLI) incidence in two provinces (Western and Guadalcanal Provinces) in Solomon Islands (SI). Methods Weekly DLI and meteorological data were obtained from the Ministry of Health and Medical Services SI and the Ministry of Environment, Climate Change, Disaster Management and Meteorology from 2015 to 2018, respectively. We used negative binomial generalized estimating equations to assess the effects of climate variables up to a lag of 2 months and ENSO on DLI incidence in SI. Results We captured an upsurge in DLI trend between August 2016 and April 2017. We found the effects of average temperature on DLI in Guadalcanal Province at lag of one month (IRR: 2.186, 95% CI: 1.094–4.368). Rainfall had minor but consistent effect in all provinces. La Niña associated with increased DLI risks in Guadalcanal Prov...
Epidemiology and Health
Objectives: Diarrheal disease continues to be a significant cause of morbidity and mortality. We ... more Objectives: Diarrheal disease continues to be a significant cause of morbidity and mortality. We investigated how anomalies in monthly average temperature, precipitation, and surface water storage (SWS) impacted bacterial, and viral diarrhea morbidity in Taiwan between 2004 and 2015. Methods: A multivariate analysis using negative binomial generalized estimating equations was employed to quantify age- and cause-specific cases of diarrhea associated with anomalies in temperature, precipitation, and SWS. Results: Temperature anomalies were associated with an elevated rate of all-cause infectious diarrhea at a lag of 2 months, with the highest risk observed in the under-5 age group (incidence rate ratio [IRR]=1.03, 95% CI, 1.01-1.07). Anomalies in SWS were associated with increased viral diarrhea rates, with the highest risk observed in the under-5 age group at a 2-month lag (IRR= 1.27; 95% CI: 1.14, 1.42) and a lesser effect at a 1-month lag (IRR=1.18; 95% CI, 1.06-1.31). Furthermore,...
IOP Conference Series: Earth and Environmental Science, 2020
Life cycle analysis (LCA) is a powerful method to quantify impacts based on material input in the... more Life cycle analysis (LCA) is a powerful method to quantify impacts based on material input in the process production. The results of midpoint impact analysis categories vary from global warming potential to water footprint. In addition, endpoint impact analysis also provides quantitative results of general environmental impact assessment which is possible to be written as additional results and a deeper analysis in Government or Company Environmental Report. There are many types of software that can be used for impact analysis, for example, SimaPro, OpenLCA, Gabi, Umberto, etc. In this study we analyze the difference of impact assessment result using Simapro and OpenLCA with same material input data and similar database. The results of the environmental impact analysis using the CML-IA baseline V3.05 / EU25 method in the SimaPro software after normalization are as follows: global warning impact contribution 0.0206, ozone layer depletion 0.0002, acidification 0.0016, and eutrophicati...
Construction and Building Materials, 2020
h i g h l i g h t s Higher temperature or wind speed, or lower humidity affected interlayer prope... more h i g h l i g h t s Higher temperature or wind speed, or lower humidity affected interlayer properties of concrete negatively. Mechanism for the effects of environmental condition was discussed. Relationship between damage degree and loss rate of tensile splitting strength was established.
Science of The Total Environment
Kali Surabaya memiliki fungsi utama sebagai pemasok air baku untuk pengolahan air minum. Menurut ... more Kali Surabaya memiliki fungsi utama sebagai pemasok air baku untuk pengolahan air minum. Menurut data pemantauan dari DLH Kota Surabaya tahun 2013, status Kali Surabaya 69,45% berstatus cemar ringan, 22,22% berstatus cemar sedang, dan 8,33% berstatus cemar berat. Kali Surabaya telah dikaji berulang kali dan hasilnya menyatakan bahwa Kali Surabaya telah tercemar, tetapi masih belum diketahui sumber signifikan pencemar. Oleh sebab itu penelitian ini dilakukan untuk memberikan alternatif pengendalian pencemar Kali Surabaya. Pada penelitian ini dilakukan pengambilan sampel berupa kuesioner kepada masyarakat. Kuesioner disebarkan ke masyarakat bagian utara dan bagian selatan sungai dengan masing-masing 48 responden. Kuesioner yang disebarkan mencakup pertanyaan yang meliputi pengetahuan masyarakat mengenai kondisi lingkungan, pengelolaan air limbah yang dihasilkan, dan kecenderungan masyarakat dalam membuang sampah. Data lain seperti kualitas air sungai dan kualitas air limbah industri y...
Atmosphere
South Asia, with more than one-fifth of the world’s population, is highly vulnerable to heatwaves... more South Asia, with more than one-fifth of the world’s population, is highly vulnerable to heatwaves and associated health consequences. The population experiences considerably higher residential vulnerability due to limited infrastructural capacities, economic resources, and health and environmental quality deficiencies. However, a limited number of studies are available from the region to account for the health effects of heatwaves. Therefore, this study has conducted a comprehensive review to characterize heatwaves across South Asian countries. The review explicitly identifies the population’s vulnerability to heatwaves during recent years and heatwave management policies in the region. The literature review suggests increased heat-related deaths in most South Asian countries, with few exceptions. In addition, the analysis of historical temperature records identified an upward trend in annual average temperature across the South Asian countries. The study highlights various heatwave...
Urban areas within low and middle-income countries (LMICs) represent a confluence of unique and c... more Urban areas within low and middle-income countries (LMICs) represent a confluence of unique and complex risk factors influencing disease dynamics. Continuous growth in the urban population fueled by migration and informal settlements makes these urban city centers conducive to inequality, environmental hazards, and infectious diseases. In this study, we evaluated the relationship between socio-demographic risk factors (age/gender, slum population density, and illiteracy rates) and spatial heterogeneity in the prevalence of viral hepatitis, typhoid, and diarrhea in Ahmedabad, India, from 2010 to 2017. The geographical distance of the wards from the river was also considered a potential risk factor. The analysis suggested positive spatial autocorrelation for viral hepatitis, typhoid and diarrhea incidence. The results of the Ordinary Least Square (OLS) and Spatial Lag Regression (SLR) models identified slum population density as a significant risk factor for all three diseases. Furthe...
Water, 2020
Treatment cost and quality of domestic water are highly correlated with raw water quality in rese... more Treatment cost and quality of domestic water are highly correlated with raw water quality in reservoirs. This study aims to identify the key factors that influence the trophic state levels and correlations among Carlson trophic state index (CTSI) levels, water quality parameters and weather factors in four major reservoirs in Taiwan from 2000 to 2017. Weather (e.g., air temperature, relative humidity, total precipitation, sunlight percentage and cloud cover) and water quality parameters (e.g., pH, chemical oxygen demand, suspended solids (SS), ammonia, total hardness, nitrate, nitrite and water temperature) were included in the principal component analysis and absolute principal component score models to evaluate the main governing factors of the trophic state levels (e.g., CTSI). SS were washed out by precipitation, thereby influencing the reservoir transparency tremendously and contributing over 50% to the CTSI level in eutrophicated reservoirs (e.g., the Shihmen and Chengchinghu ...
Sustainability, 2020
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), universally recognized as COVID-19,... more Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), universally recognized as COVID-19, is currently is a global issue. Our study uses multivariate regression for determining the relationship between the ambient environment and COVID-19 cases in Lima. We also forecast the pattern trajectory of COVID-19 cases with variables using an Auto-Regressive Integrated Moving Average Model (ARIMA). There is a significant association between ambient temperature and PM10 and COVID-19 cases, while no significant correlation has been seen for PM2.5. All variables in the multivariate regression model have R2 = 0.788, which describes a significant exposure to COVID-19 cases in Lima. ARIMA (1,1,1), during observation time of PM2.5, PM10, and average temperature, is found to be suitable for forecasting COVID-19 cases in Lima. This result indicates that the expected high particle concentration and low ambient temperature in the coming season will further facilitate the transmission of the cor...
PLoS ONE, 2021
Background This study investigated risks of mortality from and morbidity (emergency room visits (... more Background This study investigated risks of mortality from and morbidity (emergency room visits (ERVs) and outpatient visits) of asthma and chronic obstructive pulmonary disease (COPD) associated with extreme temperatures, fine particulate matter (PM2.5), and ozone (O3) by sex, and age, from 2005 to 2016 in 6 metropolitan cities in Taiwan. Methods The distributed lag non-linear model was employed to assess age (0–18, 19–39, 40–64, and 65 years and above), sex-cause-specific deaths, ERVs, and outpatient visits associated with extreme high (99th percentile) and low (5th percentile) temperatures and PM2.5 and O3 concentrations at 90th percentile. Random-effects meta-analysis was adopted to investigate cause-specific pooled relative risk (RR) and 95% confidence intervals (CI) for the whole studied areas. Results Only the mortality risk of COPD in the elderly men was significantly associated with the extreme low temperatures. Exposure to the 90th percentile PM2.5 was associated with outp...
International Journal of Biometeorology
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Papers by gerry andhikaputra