Longitudinal bi-criteria framework for assessing national healthcare responses to pandemic outbreaks.

Pandemics like COVID-19 have illuminated the significant disparities in the performance of national healthcare systems (NHCSs) during rapidly evolving crises. The challenge of comparing NHCS performance has been a difficult topic in the literature. To address this gap, our study introduces a bi-criteria longitudinal algorithm that merges fuzzy clustering with Data Envelopment Analysis (DEA).

Designing a Transportation-Strategy Decision-Making Process for a Supply Chain: Case of a Pharmaceutical Supply Chain.

Including an active participation of stakeholders along the transportation decision-making process is increasingly recognized as a necessary condition for reaching successful and high-quality decisions. This paper presents a framework for deciding on the appropriate transportation strategy for a supply chain from a multistakeholder perspective. It consists of three steps: (1) defining the transportation-strategy decision-making context and the objectives that must be achieved; (2) analyzing the actual transportation strategy regarding its three components: transportation network; transportation mode; and transportation insource/outsource, as well as identifying the stakeholders interested in the study; and (3) conducting a group decision making regarding each transportation strategy's component, while involving the key stakeholders and taking into account the specificities of transported products.

[Serologic survey on Chlamydia trachomatis in different populations of the Ivory Coast].

Chlamydial serum antibodies were screened in more than 1,000 persons by immunofluorescence test. C. trachomatis antibodies (greater than or equal to 1/16 for males, greater than or equal to 1/64 for females) were found more frequently in risk group (prostitutes: 64.