This study confirms that preventable AEs were not rare in our context. They caused human harm and consumed a significant part of hospital resources. Thus, targeted interventions are needed.

Health for all is a people-based approach to health which considers the community as its focus. Community partnership is an important principle of health for all. This paper describes the many aspects of community partnership and gives examples of community partnerships initiatives in the World Health Organization Eastern Mediterranean Region, such as the basic development needs approach. The main agenda of community partnership for health for all is discussed and some opportunities conductive to community partnership in the Region are outlined

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Over the past year, there has been growing interest in the potential of artificial intelligence in addressing the ongoing COVID-19 pandemic. Within this context, this paper presents a novel method for a resource-aware identification of COVID-19 cough sounds using wavelet scattering embedding. The proposed method aims to alleviate some of the limitations of traditional deep learning-based classification approaches in resource-constrained settings. Experiments were conducted to demonstrate the ability of the proposed method to differentiate among three types of coughs: those from COVID-19-related, asthma-related, and healthy cases. Despite the inherent simplicity of the proposed method, compared to related deep learning-based approaches, state-of-the-art performance has been demonstrated. The proposed method was evaluated using both a crowdsourced and clinically controlled dataset. Over all of the experiments, the proposed method achieved an average accuracy of 97.5%, with an average sensitivity of 97.1 % and an average specificity of 98.11 %.1