The relationship between the number of withdrawn/restricted drugs and socioeconomic, health, and welfare indicators were investigated in a comprehensive review of drug regulation information in the United Nations (UN) countries. A total of of 362 drugs were withdrawn and 248 were restricted during 1950-2010, corresponding to rates of 12.02 ± 13.07 and 5.77 ± 8.69 (mean ± SD), respectively, among 94 UN countries. A socioeconomic, health, and welfare analysis was performed for 33 OECD countries for which data were available regarding withdrawn/restricted drugs. The gross domestic product (GDP) per capita, GDP per hour worked, health expenditure per GDP, and elderly population rate were positively correlated with the numbers of withdrawn and restricted drugs (P < 0.05), while the out-of-pocket health expenditure payment rate was negatively correlated. The number of restricted drugs was also correlated with the rate of drug-related deaths (P < 0.05). The World Bank data cross-validated the findings of 33 OECD countries. The lists of withdrawn/restricted drugs showed markedly poor international agreement between them (Fleiss's kappa = -0.114). Twenty-seven drugs that had been withdrawn internationally by manufacturers are still available in some countries. The wide variation in the numbers of drug withdrawals and restrictions among countries indicates the need to improve drug surveillance systems and regulatory communication networks.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4630471 | PMC |
http://dx.doi.org/10.3346/jkms.2015.30.11.1567 | DOI Listing |
Sci Rep
December 2024
School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
West Nile virus (WNV) is a mosquito-borne zoonotic flavivirus which often causes asymptomatic infection in humans but may develop into a deadly neuroinvasive disease. In this study, we aimed to investigate variables potentially associated with human WNV infection using human and mosquito WNV surveillance and monitoring datasets, established over 20 years, from 2003 to 2022, across the province of Ontario, Canada. We combined climatic and geographic data, mosquito surveillance data (n = 3010 sites), blood donation arboviral detection testing data in the human population, and demographic and socio-economic data from Canadian population censuses.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, Budapest, 1082, Hungary.
Human alveolar echinococcosis (HAE), which is caused by the larval stage of the Echinococcus multilocularis tapeworm, is an increasing healthcare issue in Hungary. Among the 40 known cases in the country, 25 were detected in the last five years. Our study aimed to reveal the geographically underlying risk factors associated potentially with these cases.
View Article and Find Full Text PDFSci Rep
December 2024
International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
The COVID-19 pandemic has not only posed alarming health challenges but also exacerbated the scenarios of intimate partner violence (IPV) against women globally. While global studies indicate a conspicuous increase in IPV during COVID-19 lockdowns; Indian studies exhibit mixed evidence. This ambiguity in world's most populous country underscores a greater need to examine the nexus between exposure to COVID-19 and IPV using a large nationally representative sample of India.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Using postnatal care (PNC) within the first week following childbirth is crucial, as both the mother and her baby are particularly vulnerable to infections and mortality during this period. In this study, we examined the factors associated with early postnatal care (EPNC) use in Afghanistan. We used data from the multiple indicator cluster survey (MICS) 2022-2023.
View Article and Find Full Text PDFSci Rep
December 2024
Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.
Understanding the impact of different types of social interactions is key to improving epidemic models. Here, we use extensive registry data-including PCR test results and population-level networks-to investigate the impact of school, family, and other social contacts on SARS-CoV-2 transmission in the Netherlands (June 2020-October 2021). We isolate and compare different contexts of potential SARS-CoV-2 transmission by matching pairs of students based on their attendance at the same or different primary school (in 2020) and secondary school (in 2021) and their geographic proximity.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!