REGRESION MODEL OF COVID-19 MEDICAL HARZARDOUS WASTE GENERATION BASED ON MAXIMUM BEDS CAPACITY OF REGIONAL HOSPITALS IN DKI JAKARTA

2020 ◽  
Vol 15 (2) ◽  
pp. 107-113
Author(s):  
Mr Prihartanto

Abstract The Covid-19 pandemic disaster in DKI Jakarta has shown a significant increasing in confirmed positive cases starting in September 2020, resulting in the re-implementing of Large-Scale Social Distancing (PSBB). The main factor that led to the re-implementing of the PSBB in DKI Jakarta is the limited bed capacity in the 67 Covid-19 referal Local General Hospitals (RSUD). Handling Covid-19 patients requires more medical equipment such as masks, glasses, protective clothing and so on, which will increase the rate of medical waste generation. This study will discuss the prediction of minimum and maximum generation of Covid-19 medical hazardous waste (B3) in 67 Covid-19 referal RSUD in DKI Jakarta which can be calculated based on the maximum capacity of available isolation and ICU beds during the period 23 August - 4 October 2020 and the average of medical waste generation per patient treated. From the prediction, a regression model of increasing number of minimum and maximum medical hazardous waste produced in several Covid-19 referal RSUD in DKI Jakarta can be made. Keywords: covid-19, hazardous waste, hospital, maximum capacity, regression model.

2020 ◽  
Vol 15 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Mr Prihartanto

The Covid-19 pandemic disaster has resulted in thousands peoples died and hospitalized. Handling of Covid-19 patients requires more medical equipment than normal condition, such as masks, goggles, protective clothing and so on which will increase the rate of generation of medical waste. Prediction of the total medical hazardous waste generation in Indonesia can be calculated using the prediction model of the total number of Covid-19 cases and the average generation of medical waste for each one patient. In this study, the capacity of a hazardous waste incinerator in Indonesia is also calculated to determine the time needed for waste processing. Besides, standar procedures for handling medical  hazardous waste from source to final disposal site are also needed.


2021 ◽  
Vol 4 (2) ◽  
pp. 135-142
Author(s):  
Prihartanto Prihartanto

Abstract The generation of medical and municipal waste during the COVID-19 pandemic has the potential to become a medium for spreading the virus if it is not handled properly. The lack of information regarding the generation of medical and the effectiveness of handling infectious waste is one of the factors that influence the handling of Covid-19 hazardous waste. In this study, a literature review will be presented regarding several studies on the generation of Covid-19 medical hazardous waste that have been carried out in several developing and developed countries from December 2019 to mid-2020. In addition, a comparison of the handling of infectious municipal waste in developing and developed countries will be presented in this paper during a pandemic. It is hoped that this research can be used as a reference for further research on the generation of hazardous medical waste and handling municipal-scale infectious waste due to the Covid-19 pandemic. Keywords: Covid-19, hazardous waste, waste generation, medical waste, municipal waste Abstrak Timbulan limbah medis dan rumah tangga pada masa pandemi COVID-19, berpotensi menjadi media penyebaran virus bila tidak ditangani dengan benar. Minimnya infomasi mengenai timbulan limbah medis dan efektivitas penanganan limbah infeksius menjadi salah satu faktor yang berpengaruh terhadap penanganan limbah B3 Covid-19 ini. Dalam kajian ini akan disampaikan tinjauan pustaka mengenai beberapa penelitian tentang timbulan limbah medis B3 Covid-19 yang pernah dilakukan dibeberapa negara berkembang dan negara maju sejak Desember 2019 hingga pertengahan 2020. Disamping itu dalam makalah ini akan dipaparkan perbandingan penanganan limbah infeksius rumah tangga di negara berkembang dan negara maju selama terjadi pandemik. Diharapkan penelitian ini dapat digunakan sebagai salah satu rujukan bagi penelitian lanjutan tentang timbulan limbah medis B3 serta penanganan limbah infeksius skala rumah tangga akibat pandemik Covid-19. Kata kunci: Covid-19, limbah beracun dan berbahaya, timbulan limbah, limbah medis, limbah rumah tangga


Author(s):  
Mou Rani Sarker ◽  
Md. Abdur Rouf Sarkar

With pandemic progression and the stay-at-home situation, household are producing more dangerous medical waste. Households became the most vulnerable and unprotected sector of coronavirus transmission due to the unconsciousness and lack of guidance of hazardous waste management. Therefore, waste management is a critical concern to public health. This study examines household waste generation and waste management issues in Bangladesh during COVID-19 from March 2020 to August 2021. The study showed that adequate identification, collection, transportation, processing, separation, and disposal are the challenges of safe waste management. Each activity bears a high risk of getting infected because of lack of proper guidance and protection. Moreover, the improper disposal of hazardous waste causes immense soil, water and air pollution that might have negative effects to the human body. Some suggested guidelines to a better COVID-19 household’s waste management are discussed in the context of Bangladesh.


2018 ◽  
Vol 7 (4) ◽  
pp. 139
Author(s):  
Maha M. AL-Ghabban ◽  
Nashwan Sh. Mizzouri ◽  
Fadhil R. Mahmood ◽  
Hussein H. Hassan ◽  
Kadhim I. Abdulrahman

The developments and improvement of the public and the private healthcare sector in the recent years in Duhok governorate considered as the main factor for increasing the production rate of per capita patient generation of hazardous waste (Bio-Medical Waste). Another important factor contributes in hazardous waste volume is the increase in health services and public education. Generation of waste caused direct impacts on human health and environment through the pollution of soil, water and air. The present study was carry out to assess the sources and the data quantities of hazardous wastes, analysis of these collected data is achieved by using of GIS Application. In 2014, it was found that 253.143 tons of hazardous waste were produced in Duhok. About 30% of the waste is not being sorted from the municipal solid waste, i.e. disposed directly to dumps or landfills. Inadequate disposal of hazardous waste can related to contamination of surface and ground water supplies, and risk impacts on communities and their environment. In addition the aim of this assessing is focused on the importance of hazardous waste management and to develop a proposal for treatment and disposal management methods in compliance with the international environmental regulations.


2015 ◽  
Vol 811 ◽  
pp. 378-382
Author(s):  
Mihaela Debita ◽  
Carmina Liana Musat ◽  
Madalina Rus ◽  
Elena Mereuta ◽  
Claudiu Mereuta

The paper presents some technical considerations regarding the medical waste transportation and an optimization calculus for minimizing the transportation costs of a company specialized and authorized in collecting, transporting and final disposal of medical waste generated by healthcare facilities. The calculus revealed that it is possible to significantly reduce the transportation costs (up to 65.52%), but there are also other analysis possibilities like considering the in-between points from sources to destinations, alternative paths, limits to the amount of medical waste on each path, time.


2006 ◽  
Vol 36 (5) ◽  
pp. 1129-1138 ◽  
Author(s):  
Jennifer L. Rooker Jensen ◽  
Karen S Humes ◽  
Tamara Conner ◽  
Christopher J Williams ◽  
John DeGroot

Although lidar data are widely available from commercial contractors, operational use in North America is still limited by both cost and the uncertainty of large-scale application and associated model accuracy issues. We analyzed whether small-footprint lidar data obtained from five noncontiguous geographic areas with varying species and structural composition, silvicultural practices, and topography could be used in a single regression model to produce accurate estimates of commonly obtained forest inventory attributes on the Nez Perce Reservation in northern Idaho, USA. Lidar-derived height metrics were used as predictor variables in a best-subset multiple linear regression procedure to determine whether a suite of stand inventory variables could be accurately estimated. Empirical relationships between lidar-derived height metrics and field-measured dependent variables were developed with training data and acceptable models validated with an independent subset. Models were then fit with all data, resulting in coefficients of determination and root mean square errors (respectively) for seven biophysical characteristics, including maximum canopy height (0.91, 3.03 m), mean canopy height (0.79, 2.64 m), quadratic mean DBH (0.61, 6.31 cm), total basal area (0.91, 2.99 m2/ha), ellipsoidal crown closure (0.80, 0.08%), total wood volume (0.93, 24.65 m3/ha), and large saw-wood volume (0.75, 28.76 m3/ha). Although these regression models cannot be generalized to other sites without additional testing, the results obtained in this study suggest that for these types of mixed-conifer forests, some biophysical characteristics can be adequately estimated using a single regression model over stands with highly variable structural characteristics and topography.


2020 ◽  
Vol 8 (1) ◽  
pp. 440-447
Author(s):  
Sirin Fairus ◽  
Siti Rohajawati ◽  
Prismita Nursetyowati ◽  
Diki Surya Irawan ◽  
Deffi Ayu Puspito Sari

Purpose of the study: Hazardous solid medical waste, contains infectious, pathologic, sharp objects, pharmaceuticals, cytotoxic, chemical, radioactive, pressurized containers, and has a high heavy metal content and endangering the community. The Minister of Environment and Forestry of the Republic of Indonesia No.56 of 2015 regulates hazardous waste, but the study of the implementation and compliance with the regulation are still limited. Methodology: Qualitative descriptive method is carried out to describe and explain the condition of variables contained in the object of research. Main Findings: In general, the health center in Depok has carried out sorting consisting of sharp medical waste and non-sharp and reduced hazardous waste. The composition of non-sharp hazardous medical waste ranges from 55% to 96%. Applications of this study: Primary data collection was carried out in 11 Health Center in 11 sub-districts of Depok City. Novelty/Originality of this study: The number of sub-district residents does not always determine the average number of patients coming from the health center which ranges from 100-300 patients. With the average number of patients coming in at 300 people/day, Cipayung health center produced 1,821 grams/day, in contrast to Pancoran Mas and Sukmajaya which produced 2,398 and 3,357.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Nicolas Pröllochs ◽  
Dominik Bär ◽  
Stefan Feuerriegel

AbstractEmotions are regarded as a dominant driver of human behavior, and yet their role in online rumor diffusion is largely unexplored. In this study, we empirically study the extent to which emotions explain the diffusion of online rumors. We analyze a large-scale sample of 107,014 online rumors from Twitter, as well as their cascades. For each rumor, the embedded emotions were measured based on eight so-called basic emotions from Plutchik’s wheel of emotions (i.e., anticipation–surprise, anger–fear, trust–disgust, joy–sadness). We then estimated using a generalized linear regression model how emotions are associated with the spread of online rumors in terms of (1) cascade size, (2) cascade lifetime, and (3) structural virality. Our results suggest that rumors conveying anticipation, anger, and trust generate more reshares, spread over longer time horizons, and become more viral. In contrast, a smaller size, lifetime, and virality is found for surprise, fear, and disgust. We further study how the presence of 24 dyadic emotional interactions (i.e., feelings composed of two emotions) is associated with diffusion dynamics. Here, we find that rumors cascades with high degrees of aggressiveness are larger in size, longer-lived, and more viral. Altogether, emotions embedded in online rumors are important determinants of the spreading dynamics.


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