Availability of safety measures and knowledge towards hazardous waste management among workers in scientific laboratories of two universities in Lebanon

Inaam Mahmoud Nasrallah, Pascale René Salameh, Abbass Rida El-Outa, Assem Khalil Elkak, Rihab Raif Nasr and Wafa Toufic Bawab
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Inaam Mahmoud Nasrallah: Doctoral School of Science and Technology (DSST), Lebanese University, Rafic Hariri University Campus, Hadath, Lebanon Laboratoire de Biotechnologie des Substances Naturelles et Produits de Santé (BSNPS), Faculty of Pharmacy, Lebanese University, Rafic Hariri University Campus, Hadath, Lebanon
Pascale René Salameh: Faculty of Pharmacy, Lebanese University, Rafic Hariri University Campus, Hadath, Lebanon INSPECT-LB, Beirut, Lebanon University of Nicosia Medical School, Nicosia, Cyprus, Lebanon
Abbass Rida El-Outa: Observe Group for Clinical Research, Beirut, Lebanon-Department of Emergency Medicine, American University of Beirut, Beirut, Lebanon
Assem Khalil Elkak: Laboratoire de Biotechnologie des Substances Naturelles et Produits de Santé (BSNPS), Faculty of Pharmacy, Lebanese University, Rafic Hariri University Campus, Hadath, Lebanon
Rihab Raif Nasr: Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut 1107 2020, Lebanon
Wafa Toufic Bawab: Faculty of Pharmacy, Lebanese University, Rafic Hariri University Campus, Hadath, Lebanon

International Journal of Research and Scientific Innovation, 2022, vol. 9, issue 9, 07-16

Abstract: Hazardous Waste Management (HWM) is critical to human health outcomes and environmental protection. A survey-based observational study was conducted in scientific laboratories of a public and a private university in Lebanon, where a total of 309 participants were recruited to evaluate the knowledge regarding safety measures to be applied when collecting and storing waste. Chi-square and Fisher’s exact tests, Independent Sample T-test, Pearson correlation coefficient, and ANOVA were used for comparing differences and associations among socio-demographic variables. Linear regression models were used to map predictors of knowledge score and its relationships with demographic variables as well as training on proper HWM. A significant association (p

Date: 2022
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