A global, regional, and national survey on burden and Quality of Care Index (QCI) of bladder cancer: The global burden of disease study 1990-2019.

INTRODUCTION: Bladder cancer (BCa) is the second most common genitourinary cancer and among the leading causes of cancer-related deaths. We aimed to assess BCa quality of care (QOC) utilizing a novel multi-variable quality of care index (QCI). MATERIALS AND METHODS: Data were retrieved from the Global Burden of Disease 1990-2019 database. QCI scores were calculated using four indices of prevalence-to-incidence ratio, Disability-Adjusted Life Years-to-prevalence ratio, mortality-to-incidence ratio, and Years of Life Lost-to-Years Lived with Disability ratio. We used principal component analysis to allocate 0-100 QCI scores based on region, age groups, year, and gender. RESULTS: Global burden of BCa is on the rise with 524,305 (95% UI 475,952-569,434) new BCa cases and 228,735 (95% UI 210743-243193) deaths in 2019, but age-standardized incidence and mortality rates did not increase. Global age-standardized QCI improved from 75.7% in 1990 to 80.9% in 2019. The European and African regions had the highest and lowest age-standardized QCI of 89.7% and 37.6%, respectively. Higher Socio-demographic index (SDI) quintiles had better QCI scores, ranging from 90.1% in high SDI to 30.2% in low SDI countries in 2019; however, 5-year QCI improvements from 2014 to 2019 were 0.0 for high and 4.7 for low SDI countries. CONCLUSION: The global QCI increased in the last 30 years, but the gender disparities remained relatively unchanged despite substantial improvements in several regions. Higher SDI quintiles had superior QOC and less gender- and age-based inequalities compared to lower SDI countries. We encourage countries to implement the learned lessons and improve their QOC shortcomings.

A pilot study using financial transactions' spatial information to define high-risk neighborhoods and distribution pattern of COVID-19.

BACKGROUND: Development of surveillance systems based on big data sources with spatial information is necessitated more than ever during this pandemic. Here, we present our pilot results of a new technique for the incorporation of spatial information of transactions and a vital registry of COVID-19 to evaluate the disease spread. METHODS: We merged two databases of laboratory-confirmed national COVID-19 registry of Iran and financial transactions of point-of-sale devices from February to March 2020 as our training data sources. Spatial information was used for the visualization of maps and movements of sick individuals. We used the point-of-sale devices-related guild to check for the dynamics of financial transactions and effectiveness of quarantines. FINDINGS: In the study period, 174,428 confirmed cases were in the COVID-19 registry with accompanying transactions information. In total, 13,924,982 financial transactions were performed by them, with a mean of 1.2 per day for each person. All guilds had a decreasing pattern of "risky" transactions except for grocery stores and pharmacies. The latter showed a decreasing pattern by impose of lockdowns. Different cities were the hotspot of disease transmission as many "high-risk" transactions were performed in them, among which Tehran (mainly its central neighborhoods) and southern cities of Lake Urmia predominated. Lockdowns indicated that the disease gradually became less transmissible. INTERPRETATION: Financial transactions can be readily used for epidemics surveillance. Semi real-time results of such iterations can be informative for policy makers, guild owners, and general population to prepare safer commuting and merchandise spaces.

COVID-19 in patients with diabetes: factors associated with worse outcomes.

Purpose: Diabetes is one of the major comorbidities associated with COVID-19. We aimed to determine the clinical and epidemiological factors associated with the mortality of COVID-19 in diabetic patients in Iran, and also the impact of prescribed antiviral and antibiotics on patients' status. Methods: In this study, we used the national registry of hospitalized patients with Severe Acute Respiratory Syndrome (SARS) Symptoms with diabetes from February 18, 2020, to December 22, 2020. Demographic, clinical features, treatments, concurrent comorbidities, and their associations with mortality and severity outcomes were assessed using logistic regression. Results: 78,554 diabetic in-patients with SARS symptoms were included from 31 provinces of whom 37,338 were PCR positive for COVID-19. Older age and male gender are associated with COVID-19 mortality in diabetic patients. CVD is the most frequent comorbidity (42%). CVD, kidney disease, liver disease, and COPD are associated comorbidities which increased the risk of mortality. The mortality rate is higher in diabetic patients comparing to patients with no comorbidities, particularly in younger age groups. The frequency of antiviral, and antibiotics in COVID-19 positive patients was 34%, and 31%, respectively. Antibiotic treatment has no association with mortality in COVID-19 patients. Conclusions: Diabetic patients indicate higher mortality comparing to patients without any underlying comorbidities. Restrict strategies on increasing effective health care utilization must be considered in diabetic patients, especially in those with parallel underlying comorbidities. Regarding the antibiotic resistance issue and the noticeable use of antibiotics in diabetic patients, it is recommended to prioritize an antibiotic guideline prescription in COVID-19 patients for better stewardship by countries.

How the scientific community responded to the COVID-19 pandemic: A subject-level time-trend bibliometric analysis.

BACKGROUND: COVID-19 has triggered an avalanche of research publications, the various aspects of which need to be assessed. The objective of this study is to determine the scientific community's response patterns to COVID-19 through a bibliometric analysis of the time-trends, global contribution, international collaboration, open-access provision, science domains of focus, and the behavior of journals. METHODS: The bibliographic records on COVID-19 literature were retrieved from both PubMed and Scopus. The period for searching was set from November 1, 2019, to April 15, 2021. The bibliographic data were coupled with COVID-19 incidence to explore possible association, as well as World Bank indicators and classification of economies. RESULTS: A total of 159132 records were included in the study. Following the escalation of incidences of COVID-19 in late 2020 and early 2021, the monthly publication count made a new peak in March 2021 at 20505. Overall, 125155 (78.6%) were national, 22548 (14.2%) were bi-national, and 11429 (7.2%) were multi-national. Low-income countries with 928 (66.8%) international publications had the highest percentage of international. The open-access provision decreased from 85.5% in February 2020 to 62.0% in April 2021. As many as 82841 (70.8%) publications were related to health sciences, followed by life sciences 27031 (23.1%), social sciences 20291 (17.3%), and physical sciences 15141 (12.9%). The top three medical subjects in publications were general internal medicine, public health, and infectious diseases with 28.9%, 18.3%, and 12.6% of medical publications, respectively. CONCLUSIONS: The association between the incidence and publication count indicated the scientific community's interest in the ongoing situation and timely response to it. Only one-fifth of publications resulted from international collaboration, which might lead to redundancy without adding significant value. Our study underscores the necessity of policies for attraction of international collaboration and direction of vital funds toward domains of higher priority.

Dissection of non-pharmaceutical interventions implemented by Iran, South Korea, and Turkey in the fight against COVID-19 pandemic.

PURPOSE: The novel coronavirus disease 2019 (COVID-19) has imposed a great global burden on public health. As one of the most affected countries, Iran has tackled emerging challenges in the path to overcoming the epidemic, with three peaks of the disease propagation as of February 19, 2020. To flatten the curve of the COVID-19 pandemic, most countries have implemented bundles of intrusive, sometimes extremely stringent non-pharmaceutical interventions (NPIs). In this communication, we have dissected the effectiveness of NPIs and compared the strategies implemented by Iran, Turkey, and South Korea to mitigate the disease's spread. METHODS: We searched online databases via PubMed, Web of Knowledge, and Scopus. Titles/abstracts and full-texts were screened by two reviewers and discrepancies were resolved upon discussion. RESULTS: Our results provide insights into five domains: prevention, screening, in-patient and out-patient facilities, governance, and management of diabetes mellitus. Analysis of previous efforts put in place illustrates that by fostering efficient social distancing measures, increasing the capability to perform prompt polymerase chain reaction tests, applying smart contact tracing, and supplying adequate personal protective equipment, Turkey and South Korea have brought the epidemic sub-optimally under control. CONCLUSION: From the perspective of policymakers, these achievements are of utmost importance given that attaining the aspirational goals in the management of the COVID-19 necessities a suitable adjustment of previous successful strategies. Hence, policymakers should be noticed that a suitable combination of NPIs is necessary to stem the disease's propagation.

A Report on Statistics of an Online Self-screening Platform for COVID-19 and Its Effectiveness in Iran.

BACKGROUND: The most recent emerging infectious disease, coronavirus disease 2019 (COVID-19), is pandemic now. Iran is a country with community transmission of the disease. Telehealth tools have been proved to be useful in controlling public health disasters. We developed an online self-screening platform to offer a population-wide strategy to control the massive influx to medical centers. METHODS: We developed a platform operating based on given history by participants, including sex, age, weight, height, location, primary symptoms and signs, and high risk past medical histories. Based on a decision-making algorithm, participants were categorized into four levels of suspected cases, requiring diagnostic tests, supportive care, not suspected cases. We made comparisons with Iran STEPs (STEPwise approach to Surveillance) 2016 study and data from the Statistical Centre of Iran to assess population representativeness of data. Also, we made a comparison with officially confirmed cases to investigate the effectiveness of the platform. A multilevel mixed-effects Poisson regression was used to check the association of visiting platform and deaths caused by COVID-19. RESULTS: About 310 000 individuals participated in the online self-screening platform in 33 days. The majority of participants were in younger age groups, and males involved more. A significant number of participants were screened not to be suspected or needing supportive care, and only 10.4% of males and 12.0% of females had suspected results of COVID-19. The penetration of the platform was assessed to be acceptable. A correlation coefficient of 0.51 was calculated between suspected results and confirmed cases of the disease, expressing the platform's effectiveness. CONCLUSION: Implementation of a proper online self-screening tool can mitigate population panic during wide-spread epidemics and relieve massive influx to medical centers. Also, an evidence-based education platform can help fighting infodemic. Noticeable utilization and verified effectiveness of such platform validate the potency of telehealth tools in controlling epidemics and pandemics.