RESUMO
Background: One of the critical factors affecting chronic diseases is the use of drugs, especially industrial substances, such as methamphetamine. Methamphetamine use is increasingly common among the younger members of society. Methamphetamine is not only physically and mentally destructive, but also has a significant impact on the families of abusers and society, and imposes a financial burden on society. The present study aims to identify the factors affecting methamphetamine use in a scoping review. Methods: Different keywords of methamphetamine were selected in the Mesh database and were searched in valid English databases from January 1, 2008, to April 5, 2022. Inclusion and exclusion criteria in this study were languages, reported findings, time range, and type of article. This study was designed by scoping review method developed by Askey Malley'O. Results: The total articles that were finally analyzed in this article were 42 including 12 English articles and 30 Persian articles. Among these articles, the most important factors affecting Methamphetamine are individual, social, and family factors, which have received the most cited. Conclusion: The majority of research highlights the importance of individual factors, society, and family factors, respectively, while formulating policies for prevention, treatment, and rehabilitation must be considered. It is suggested that structural path analysis be determined by prioritizing the identified factors and the weights of these components.
RESUMO
COVID-19 is spreading all over Iran, and Kerman is one of the most affected cities. We conducted this study to predict COVID-19-related deaths, hospitalization, and infected cases under different scenarios (scenarios A, B, and C) by 31 December 2021 in Kerman. We also aimed to assess the impact of new COVID-19 variants and vaccination on the total number of COVID-19 cases, deaths, and hospitalizations (scenarios D, E, and F) using the modified susceptible-exposed-infected-removed (SEIR) model. We calibrated the model using deaths reported from the start of the epidemic to August 30, 2021. A Monte Carlo Markov Chain (MCMC) uncertainty analysis was used to estimate 95% uncertainty intervals (UI). We also calculated the time-varying reproductive number (R t) following time-dependent methods. Under the worst-case scenario (scenario A; contact rate = 10, self-isolation rate = 30%, and average vaccination shots per day = 5,000), the total number of infections by December 31, 2021, would be 1,625,000 (95% UI: 1,112,000-1,898,000) with 6,700 deaths (95% UI: 5,200-8,700). With the presence of alpha and delta variants without vaccine (scenario D), the total number of infected cases and the death toll were estimated to be 957,000 (95% UI: 208,000-1,463,000) and 4,500 (95% UI: 1,500-7,000), respectively. If 70% of the population were vaccinated when the alpha variant was dominant (scenario E), the total number of infected cases and deaths would be 608,000 (95% UI: 122,000-743,000) and 2,700 (95% UI: 700-4,000), respectively. The R t was ≥1 almost every day during the epidemic. Our results suggest that policymakers should concentrate on improving vaccination and interventions, such as reducing social contacts, stricter limitations for gathering, public education to promote social distancing, incensing case finding and contact tracing, effective isolation, and quarantine to prevent more COVID-19 cases, hospitalizations, and deaths in Kerman.