Risk Communication： Survey on Quality of Safety Data Sheets of Agricultural Substances

Manufacturers of chemicals are responsible for setting up a list of tools, including labels and safety data sheets, in order to provide adequate information about dangerous properties being labels and safety data sheets the main instruments for the immediate advice about dangerous substances and preparations for general public and workers. While correct labelling gives the possibility to general public to recognise the risks arising from handling and use of dangerous chemicals, safety data sheets are provided for professionals in order to allow safe handling and storage of dangerous chemicals in work places. Information contained in safety data sheets are also designed to suggest safety measures to be taken for the protection of workers as well as precaution measures and adequate actions to be taken in the case of accident. This project has critically revised the information contained in a list of safety data sheets of active ingredients provided for plant protection products, in order to assess the quality and the consistency of the data contained. Reported data have been then compared to published data. Considerable deficiencies/mistakes/inconsistencies have been found in the data reported along the safety data sheets of the examined substances, showing an urgent need of improving the enforcement related to a systematic recognition in this field as well as training of people involved in compilation of safety data sheets by producer side.

Zero Truncated Bivariate Poisson Model: Marginal-Conditional Modeling Approach with an Application to Traffic Accident Data

A new covariate dependent zero-truncated bivariate Poisson model is proposed in this paper employing generalized linear model. A marginal-conditional approach is used to show the bivariate model. The proposed model with estimation procedure and tests for goodness-of-fit and under (or over) dispersion are shown and applied to road safety data. Two correlated outcome variables considered in this study are number of cars involved in an accident and number of casualties for given number of cars.

Biosafety and biobanking: Current understanding and knowledge gaps

Infectious disease outbreaks,such as'Coronavirus disease 20190(COVID-19),can constitute major global health threats with far-reaching consequences.As outbreaks develop,the international scientific community must provide high-quality scientific research-ready biological samples to solve the existing clinical and epidemiological questions to better combat the pandemic.Such examples are provided by dedicated biobank facilities,the latter collecting increasingly high volumes of biological samples.However,the more significant concentrations of infectious or potentially infectious biological materials can create a safety risk.The current short report describes the first attempt to identify the published scientific works on biobanking and safety.Three broad thematic areas have been identified:the physical security relevant to staff and sample integrity,the data safety aspects,and the governance parameters relating to the previous two.While the current publications reflect a broad alignment with existing standards and best practices in the biobanking field,they also demonstrate an opportunity for further in-depth work on this field in the post-COVID-19 era.