Annual Trends Research Articles

Modeling streamflow responses to land use and land cover change using MIKE SHE model in the upper Omo Gibe catchment of Ethiopia

AbstractThe land use and land cover (LULC) changes in the upper Gibe catchment were studied intricately using the MIKE SHE model and analyzed through statistical tests. The Mann–Kendall test was used to identify potential trends, while the Pettit test was used to detect abrupt changes in rainfall, temperature, and streamflow. A set of three maps of LULC change (1990, 2003, and 2018) was developed to observe how they affect the hydrological pattern of the catchment. Statistical analyses were conducted at mean annual time scales to establish relationships among the anomalies. It has been noted that certain temperature gauges showed statistically significant increases in temperature. Change points in the 1980s and 1990s were identified during the study period. The annual streamflow trends displayed an increasing trend that was not that significant. LULC changes contributed to increased surface runoff, attributed to agricultural, settlement, and water body expansion, as well as reductions in bare land, forest, shrubland, and grassland. The MIKE SHE model performed well during both the calibration and validation periods on the monthly time scale. The alterations in LULC had a noticeable impact on stream flows during both wet and dry seasons, resulting in increased mean monthly stream flows during the wet season and decreased flows during the dry season. The MIKE SHE study and related statistical analysis is quite a different method to perceive the results.

Utilization Trends of Phosphodiesterase Type-5 Inhibitors for Erectile Dysfunction Between 2019 and 2023 in Tanzania.

Introduction Erectile dysfunction (ED) profoundly affects millions of people globally, including interfering with mental health and quality of life. Phosphodiesterase type-5 inhibitors (PDE5Is) such as sildenafil are pivotal in ED treatment. This study aimed to examine the utilization patterns ofPDE5Is in Tanzania. Materials and methods In this retrospective longitudinal study, data on sildenafil and other similar PDE5Is imported between 2019 and 2023 were sourced from the Tanzania Medicines and Medical Devices Authority (TMDA). Pre-processing and visualization were performed using Microsoft Power BI Desktop, and further analysis was performed using IBM SPSS Statistics for Windows, Version 26 (Released 2019; IBM Corp., Armonk, New York, United States). Utilization trends were ascertained through curve fitting, Holt's linear trend model, and autoregressive integrated moving average (ARIMA) models. The defined daily doses (DDDS) per 1000 inhabitants (DID) were calculated using the World Health Organization (WHO) Anatomical Therapeutic Chemical (ATC) Classification System and the DDD methodology endorsed by the WHO Collaborating Centre for Drug Statistics Methodology. Results Between 2019 and 2023, there was a pronounced increase in the importation of approximately 587 consignments of PDE5Is. Employing the Holt model (R-square = 0.843), a substantial increase from 0.220910 DID in 2019 to 0.534272 DID by 2025 was observed and anticipated. The period witnessed sildenafil dominating 75.5% of the total use, with Erecto being the most consumed brand (37.6% of totalDID). Notably, 2022 had the highest surge (27.2% of the total), albeit a slight decline was observed in 2023 (20.5%). This trend was supported by a linear regression model (R-square = 0.889). Conclusion We found increasing annual trends of PDE5Is of utilization. This requires critical oversight and effective policies to ensure appropriate use and risk minimization.

Pancreatic ductal adenocarcinoma: exploring clinicopathological trends and racial disparities in a comprehensive U.S. population-based study.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy about 50% of PDAC are metastatic at presentation. In this study, we evaluated PDAC demographics, annual trend analysis, racial disparities, survival rate, and the role of different treatment modalities in localized and metastatic disease. A total of 144,824 cases of PDAC were obtained from the SEER database from 2000 to 2018. The median age was 69years, with a slightly higher incidence in males (52%) and 80% of all cases were white. Among cases with available data, 43% were grade III tumors and 57% were metastatic. The most common site of metastasis was the liver (15.7%). The annual incidence has increased steadily from 2000 to 2018. The overall observed (OS) 5-year survival rate was 4.4% (95% CI 4.3-4.6%), and 5years cause-specific survival (CSS) was 5% (95% CI 5.1-5.4%). The 5-year survival with multimodal therapy (chemotherapy, surgery, and radiation) was 22% (95% CI 20.5-22.8%). 5-year CSS for the blacks was lower at 4.7% (95% CI 4.2-5.1%) compared to the whites at 5.3% (95% CI 5.1-5.4%). Multivariate analysis found male gender and black race associated with worse prognosis. Kaplan-Meier survival analysis found multimodal therapy to have the best outcomes in all three stages. PDAC is an aggressive malignancy with male gender and black race are associated with a poor prognosis. Surgery with chemoradiation was associated with the best overall survival. With steadily increasing rates of PDAC, improved treatment modalities are paramount to improving survival in these patients.

Estimating All-Cause Deaths Averted in the First Two Years of the COVID-19 Vaccination Campaign in Italy.

Comparing deaths averted by vaccination campaigns is a crucial public health endeavour. Excess all-cause deaths better reflect the impact of the pandemic than COVID-19 deaths. We used a seasonal autoregressive integrated moving average with exogenous factors model to regress daily all-cause deaths on annual trend, seasonality, and environmental temperature in three Italian regions (Lombardy, Marche and Sicily) from 2015 to 2019. The model was used to forecast excess deaths during the vaccinal period (December 2020-October 2022). We used the prevented fraction to estimate excess deaths observed during the vaccinal campaigns, those which would have occurred without vaccination, and those averted by the campaigns. At the end of the vaccinal period, the Lombardy region proceeded with a more intensive COVID-19 vaccination campaign than other regions (on average, 1.82 doses per resident, versus 1.67 and 1.56 in Marche and Sicily, respectively). A higher prevented fraction of all-cause deaths was consistently found in Lombardy (65% avoided deaths, as opposed to 60% and 58% in Marche and Sicily). Nevertheless, because of a lower excess mortality rate found in Lombardy compared to Marche and Sicily (12, 24 and 23 per 10,000 person-years, respectively), a lower rate of averted deaths was observed (22 avoided deaths per 10,000 person-years, versus 36 and 32 in Marche and Sicily). In Lombardy, early and full implementation of adult COVID-19 vaccination was associated with the largest reduction in all-cause deaths compared to Marche and Sicily.

Analysis of the onset, withdrawal, and variability of monsoon rainfall in the face of climate change

Climate change is affecting the precipitation system in Bangladesh, particularly in the northwestern hydrological zone. This study analyzed the monsoon rainfall variability from 1991 to 2015, revealing a shifting pattern and past trends. This study used the Mann–Kendall test and Sen’s slope (MAKESENS) statistical model to evaluate the annual total rainfall and monsoon rainfall. Approximately 71–78% of the total rainfall occurred during the monsoon season at all stations, with Rangpur being the rainiest and Rajshahi being the driest. The annual rainfall trend decreased, with highly variable arrival and withdrawal days. The monsoon arrived early by 2 to 39 days and late by 1 to 72 days from the reference day. The withdrawal of monsoon rainfall occurred 1 to 38 days early and 1 to 39 days late. These findings can be used to plan and manage agricultural practices at the local level in northwestern Bangladesh.

Rainfall Repercussions: Assessing Climate Change Influence on Iraq Precipitation Patterns

The unequal spatial and temporal distribution of precipitation, exacerbated by climate change, has received significant attention. Rainfall is pivotal for crop growth and environmental health, crucial in the water cycle, and essential to replenishing surface water sources vital for drinking water supplies. Consequently, understanding this phenomenon is critical for future planning. Evaluating spatial and temporal variations in rainfall is essential for the effective management of water resources. This study employs a statistical analysis of rainfall data from 16 rain gauge stations to identify annual rainfall trends, Linear Regression Equations, Coefficients of Determination (R²), Precipitation Concentration Index (PCI), and Rainfall Variability Index (RVI). The findings of the study come to show as the PCI has indicated strongly irregular rainfall concentration in Iraq. RVI identifies 2017 and 1983 as notably dry years, while 2018 stands out as a particularly wet year within the 40-year period from 1980 to 2019. RVI also highlights that normal rainfall years predominate, with very dry years ranging from 2 to 13, dry years from 3 to 11, wet years from 1 to 7, and very wet years from 6 to 10 within the study period.

The Application of Artificial Intelligence Technology in Shipping: A Bibliometric Review

Artificial intelligence (AI) technologies are increasingly being applied to the shipping industry to advance its development. In this study, 476 articles published in the Science Citation Index Expanded (SCI-EXPANDED) and the Social Sciences Citation Index (SSCI) of the Web of Science Core Collection from 2001 to 2022 were collected, and bibliometric methods were applied to conduct a systematic literature of the field of AI technology applications in the shipping industry. The review commences with an annual publication trend analysis, which shows that research in the field has been growing rapidly in recent years. This is followed by a statistical analysis of journals and a collaborative network analysis to identify the most productive journals, countries, institutions, and authors. The keyword “co-occurrence analysis” is then utilized to identify major research clusters, as well as hot research directions in the field, providing directions for future research in the field. Finally, based on the results of the keyword co-occurrence analysis and the content analysis of the papers published in recent years, the research gaps in AIS data applications, ship trajectory, and anomaly detection, as well as the possible future research directions, are discussed. The findings indicate that AIS data in the future research direction are mainly reflected in the analysis of ship behavior and AIS data repair. Ship trajectory in the future research direction is mainly reflected in the deep learning-based method research and the discussion of ship trajectory classification. Anomaly detection in the future research direction is mainly reflected in the application of deep learning technology in ship anomaly detection and improving the efficiency of ship anomaly detection. These insights offer guidance for researchers’ future investigations in this area. In addition, we discuss the implications of research in the field of shipping AI from both theoretical and practical perspectives. Overall, this review can help researchers understand the status and development trend of the application field of AI technology in shipping, correctly grasp the research direction and methodology, and promote the further development of the field.

Research hotspots and trend of wrist arthroscopy: A bibliometrics analysis from 2013 to 2023.

Wrist arthroscopy technology is a surgical technology invented in recent years and widely used in clinical treatment of various wrist diseases. This study uses the methods of bibliometrics and visual analysis to understand the global research status, research hotspots, and future development trends of wrist arthroscopy. The relevant literature of global publications on wrist arthroscopy from 2013 to 2023 was extracted from the Web of Science Core Collection database, and the annual output, cooperation, hot spots, research status, and development trend of this field were analyzed by using the bibliometric software (VOSviewers, CiteSpace, and the R package "Bibliometrix"). A total of 635 articles were included, from 2013 to 2023, the number of publications related to wrist arthroscopy showed an overall upward trend, the USA, France, and China are the top 3 countries in terms of the number of publications, whereas Mayo Clinic is the institution with the highest number of publications, Ho PC holds a core position in this field, keyword analysis indicates that the research hotspots are the applications of wrist arthroscopy in triangular fibrocartilage complex injuries, scaphoid nonunion, and avascular necrosis of the lunate. Wrist arthroscopy has shown tremendous potential in treating various wrist diseases. However, there are still some challenges in its research domain. With continuous deep research, strengthened international collaboration, and ongoing technological advancements, wrist arthroscopy has the potential to become the standard treatment in hand surgery, offering more efficient and safer treatment options for patients worldwide.

Trends in Utilization of Emergency Contraceptives in Tanzania: A Retrospective Longitudinal Study From 2018 to 2023.

Introduction Emergency contraceptives (ECs) are a critical method for preventing unwanted pregnancies following unprotected sexual intercourse. However, Tanzania is experiencing an alarming surge in the misuse ofECs among reproductive-aged females, particularly younger girls and women. Reports of their use as regular contraceptives are a rising concern. Deviations from their intended use in emergencies may not only increase the risk of contraceptive failure but also increase the risk of adverse health events. This study aims to delineate and evaluate the utilization patterns of ECs over six consecutive years using importation data obtained from the Tanzania Medicines and Medical Devices Authority (TMDA). Materials and methods We analyzed the ECdata collected by TMDA over six consecutive years using a retrospective longitudinal design. Microsoft Power BI (Microsoft® Corp., Redmond, WA) was used to clean, organize, and aggregate the data. IBMSPSSStatistics for Windows, Version 26 (Released 2019; IBM Corp., Armonk, New York, United States)was used to analyze annual trend utilization using linear regression. Results We analyzed 114 importation consignments for ECs, identifying 95.6% (109 records) as oral ECs and 4.4% (five records)as intrauterine devices (IUDs) between 2018 and 2023. This data revealed a significant increase in the volume of EC imports, with its contribution increasing from 1.9% in 2018 to 60.1% in 2023. This highlights the marked increase in EC consumption in Tanzania. In 2023, the defined daily dose per 1000 inhabitants per year (DID) peaked at 3.917826, indicating an unprecedented increase of 4,983.06% compared to the lowest DID observed in 2019 at 0.0873552. The year 2023 alone accounted for 41.63% of the total DID (9.43) over the entire study period. In 2019 and 2020, there was a decrease in EC consumption, followed by a rapid increase from 2021 to 2023. The reduction in EC consumption from 2019 to 2020 was 36.9% compared to that between 2021 and 2022. Conclusions The significant rise in EC importation and utilization in Tanzania between 2018 and 2023, marked by fluctuating consumption trends and a notable surge, highlights the urgent need for targeted educational and policy intervention. This will guide the rational and informed use of ECs, ensuring access aligns with best practices for reproductive health.

Determine the best method for analysing long-term (120 years) annual and seasonal rainfall trends in four east India river basins

Determine the best method for analysing long-term (120 years) annual and seasonal rainfall trends in four east India river basins

Analyzing temperature, humidity, and precipitation trends in six regions of Thailand using innovative trend analysis

The change of temperature and weather parameters is a major concern affecting sustainable development and impacting various sectors, such as agriculture, tourism, and industry. Changing weather patterns and their impact on water resources are important climatic factors that society is facing. In Thailand, climatological features such as ambient temperature, relative humidity, and precipitation play a substantial role in affecting extreme weather events, which cause damage to the economy, agriculture, tourism, and livelihood of people. To investigate recent serious changes in annual trends of temperature, relative humidity, and precipitation in Thailand, this study used the Mann–Kendall (MK) test and innovative trend analysis (ITA) methods. The MK test showed that all six regions had an upward trend in temperature and humidity index (humidex, how hot the weather feels to the average person), while relative humidity and precipitation showed both upward and downward trends across different regions. The ITA method further confirmed the upward trend in temperature and humidex and showed that most data points fell above the 1:1 line. However, the upward trend in most variables was not significant at the 5% level. The southern and eastern regions showed a significant upward trend in relative humidity and humidex at a 5% level of significance according to the MK test. The output of this study can help in the understanding of weather variations and predict future situations and can be used for adaptation strategies.

New opioid prescription claims and their clinical indications: results from health administrative data in Quebec, Canada, over 14 years

ObjectivesDescribe new opioid prescription claims, their clinical indications and annual trends among opioid naïve adults covered by the Quebec’s public drug insurance plan (QPDIP) for the fiscal years 2006/2007–2019/2020.Design and...

Occupational Radiation Dose Trends in U.S. Radiologic Technologists Assisting with Fluoroscopically Guided Interventional Procedures, 1980–2020

PurposeTo summarize dose trends from 1980 to 2020 for 19,651 U.S. Radiologic Technologists who reported assisting with fluoroscopically guided interventional procedures (FGIPs), overall and by work history characteristics. Materials and MethodsA total of 762,310 annual personal dose equivalents at a 10-mm reference depth (doses) during 1980–2020 for 43,823 participants of the U.S. Radiologic Technologists (USRT) cohort who responded to work history questionnaires administered during 2012–2014 were summarized. This population included 19,651 technologists who reported assisting with FGIP (≥1 time per month for ≥12 consecutive months) at any time during the study period. Doses corresponding to assistance with FGIP were estimated in terms of proximity to patients, monthly procedure frequency, and procedure type. Box plots and summary statistics (eg, medians and percentiles) were used to describe annual doses and dose trends. ResultsMedian annual dose corresponding to assistance with FGIP was 0.65 mSv (interquartile range [IQR], 0.60–1.40 mSv; 95th percentile, 6.80). Higher occupational doses with wider variability were associated with close proximity to patients during assistance with FGIP (median, 1.20 mSv [IQR, 0.60–4.18 mSv]; 95th percentile, 12.66), performing ≥20 FGIPs per month (median, 0.75 mSv [IQR, 0.60–2.40 mSv]; 95th percentile, 9.44), and assisting with high-dose FGIP (median, 0.70 mSv [IQR, 0.60–1.90 mSv]; 95th percentile, 8.30). ConclusionsOccupational doses corresponding to assistance with FGIP were generally low but varied with exposure frequency, procedure type, and proximity to patients. These results highlight the need for vigilant dose monitoring, radiation safety training, and proper protective equipment.

Lower Extremity Surfing Injuries Seen at United States Emergency Departments From 2002 to 2022.

Surfing is an increasingly popular sport with a high propensity for both traumatic and atraumatic injuries. To analyze the trends, etiologies, and diagnoses of lower extremity orthopaedic-related surfing injuries presenting to United States (US) emergency departments (EDs) within a 21-year study period. Descriptive epidemiology study. The National Electronic Injury Surveillance System database was queried for data on lower extremity surfing injuries presenting to US EDs from January 1 to December 31, 2022. Data collected included year, injury mechanism, injury location, diagnosis, and disposition. The raw data were used to calculate national estimates (NEs) based on each hospital's assigned statistical sample weight. Linear regressions were performed to analyze annual trends. A total of 776 lower extremity surfing injuries were included (NE = 49,218 injuries). The mean age of the patients was 29.4 ± 13.6 years. The most common injured areas were the foot (NE = 17,411; 35.4%), lower leg (NE = 8673, 17.6%), and knee (NE = 8139; 16.5%). The most common mechanism of injury was impact with board (NE = 17,144; 34.8%), and the most common fracture locations were the lower leg (NE = 1195; 29.5%), ankle (NE = 1594; 24.5%), and foot (NE = 1495; 23.0%). There were statistically significant decreases in weighted estimates for lower extremity surfing injuries by 108 per year (P < .001), for lacerations by 76 per year (P < .001), and for sprains by 18 per year (P = .01). Impact-with-board injuries decreased by 59 injuries per year (P < .001) and constituted 63.5% of lacerations and 12.1% of fractures. Only 3.9% of patients were admitted for hospitalization. There was a decreasing trend in lower extremity surfing injuries presenting to US EDs during the 21-year study period.

Dietary habits among 177,091 Greek schoolchildren by age, sex, weight status, region, and living area. A cross-sectional study

BackgroundThis study aimed to investigate the dietary habits from early childhood to adolescence among participants from all regions of the country and living areas (rural/urban) and assess potential associations between dietary habits and obesity in both sexes. MethodsPopulation data were derived from a cross-sectional health survey on a representative sample of 177,091 children aged 6–18 years. Dietary habits were considered via a self-completed questionnaire (Mediterranean diet quality index for children and adolescents [KIDMED]). Trained investigators assessed the anthropometric data. ResultsKIDMED scores were 6.7 ± 2.4 and 6.8 ± 2.3 for boys and girls, respectively, whereas a percentage of almost 10% of the total study population had insufficient dietary habits. Dietary habits peaked around age 11 years and then gradually worsened until the end of adolescence in both sexes, with an annual trend equal to −0.28 ± 0.02 (p < 0.001) for boys and −0.31 ± 0.03 (p < 0.001) for girls. Schoolchildren who are overweight/obese presented higher percentages in all unhealthy dietary habits (e.g., skipping breakfast, going often to a fast food restaurant, and consuming a lot of sweets) than children with a normal weight (all p-values < 0.001). Dietary habits did not noteworthy differ by area of living, that is, urban versus rural, of participants in both sexes. In addition, no noticeable differences in the values of the KIDMED index were found among all regions of Greece, with the highest values in Attica and Crete in both sexes. ConclusionsBecause Greek schoolchildren do not fully adopt the traditional cardio-protective Mediterranean diet, it could be helpful to provide certain recommendations, especially for adolescents, to decrease the risk for future adverse health consequences.

Hysterosalpingographic Findings Among Ghanaian Women with Infertility: A Five-year Trend Analysis.

To understand the pattern of hysterosalpingographic (HSG) findings and annual trends among Ghanaian women with infertility over a five-year period. We retrospectively evaluated the hospital medical records of women with infertility who underwent HSG at a major tertiary center in Ghana between January 2018 and December 2022. The data was statistically analyzed. The subjects comprised of 2324 Ghanaian women diagnosed with clinical infertility. HSG identified 1685 (72.5%) with primary infertility and they were also younger women with a mean age of 32.2±4.5 years. The remaining 639 (27.5%) women had secondary infertility and were older (34.2±5.3 years; p < 0.001). Primary infertility rate decreased with increasing age (p < 0.001). Bilateral tubal blockage was seen in 701 (41.6%) women with primary infertility and 365 (57.1%) women with secondary infertility. Hydrosalpinx was present in 236 (10.2%) women, fimbrial adhesions in 444 (19.1%), Asherman's syndrome in four (0.2%), and bilateral beaded tubes/tubercular salpingitis in five (0.2%). HSG was unable to detect infertility-related abnormalities in 513 (22.1%) women despite their clinical infertility. The majority of patients (1502; 64.6%) had tubal blockage: bilateral in 1066 (45.9%) and unilateral in 436 (18.8%). Infertility rates among Ghanaian women increased at an accelerating rate over the years. Primary infertility was significantly more prevalent among younger women. Tubal and cervical abnormalities were the most prevalent HSG findings.

패널 고정효과모형을 활용한 사회맞춤형 산학협력 선도대학(LINC+) 사업의 효과성 분석

This study used a panel fixed-effects model to analyze the effectiveness of the LINC+ project, focusing on key industry-academia-related education-related performance indicators and industry-academia cooperation outcome indicators. Through this, the purpose is to derive policy implications for the effective promotion of local government-centered industry-academia-research cooperation projects after the RISE transition. The panel fixed effects model analysis to analyze the effectiveness of the LINC+ project was analyzed by analyzing the treatment effect according to participation in the LINC+ project and the treatment intensity effect according to the size of the project cost, and was further analyzed by controlling the annual trend line and university characteristics. . In this model, the treatment effect analysis model is a model that verifies the performance between participating and non-participating universities by inserting a dummy variable for project participation, and the treatment intensity effect analysis model is a model that takes the logarithm of the support amount for each university and inputs it to participate in the project. This is a model that confirms the effectiveness of projects depending on the size of inter-university support funds. As a result of analyzing the effectiveness of the project between participating and non-participating universities through a panel fixed effects model, the performance indicators that have a static effect on project participation and project costs are the ratio of students completing capstone design and technology transfer per full-time faculty member. It appeared as an import fee. On the other hand, performance indicators that had a negative effect on project participation and project expenses were domestic research performance, employment rate, and proportion of students completing 4 weeks of field training. Based on the above analysis results, future RISE plans to continuously improve and advance the performance of industry-academia-research cooperation are as follows. First, there is a need to encourage problem-solving, industry-academia-linked curriculum such as Capstone Design to be actively reflected in the RISE project in the future. Second, each local government needs to prepare support measures to increase technology transfer fees, which is a representative result of value creation through industry-academia cooperation under RISE. Third, institutional support should be strengthened so that local governments, local companies, and local universities can discover various field training institutions through close collaboration and receive substantial field training for more than 12 weeks. Lastly, for a more rigorous analysis of the employment rate of the LINC+ project, it is necessary to analyze the effectiveness of the project only for departments participating in the LINC+ project.

Temporal patterns and clinical characteristics of healthcare-associated infections in surgery patients: A retrospective study in a major Chinese tertiary hospital

BackgroundGiven the preventable nature of most healthcare-associated infections (HAIs), it is crucial to understand their characteristics and temporal patterns to reduce their occurrence. MethodsA retrospective analysis of medical record cover pages from a Chinese hospital information system was conducted for surgery inpatients from 2010 to 2019. Association rules mining (ARM) was employed to explore the association between disease, procedure, and HAIs. Joinpoint models were used to estimate the annual HAI trend. The time series of each type of HAI was decomposed to analyze the temporal patterns of HAIs. ResultsThe study included data from 623,290 surgery inpatients over 10 years, and a significant decline in the HAI rate was observed. Compared with patients without HAIs, those with HAIs had a longer length of stay (29 days vs. 9 days), higher medical costs (96226.57 CNY vs. 22351.98 CNY), and an increased risk of death (6.42% vs. 0.18%). The most common diseases for each type of HAI differed, although bone marrow and spleen operations were the most frequent procedures for most HAI types. ARM detected that some uncommon diagnoses could strongly associate with HAIs. The time series pattern varied for each type of HAI, with the peak occurring in January for respiratory system infections, and in August and July for surgical site and bloodstream infections, respectively. ConclusionsOur findings demonstrate that HAIs impose a significant burden on surgery patients. The differing time series patterns for each type of HAI highlight the importance of tailored surveillance strategies for specific types of HAI.

Rapid resurgence of syphilis in Japan after the COVID-19 pandemic: A descriptive study.

Some countries have reported a post-pandemic resurgence in syphilis prevalence, but trend data in the World Health Organization Western Pacific Region (WHO-WPRO), including Japan, are severely lacking. Thus, the present study compares the number of syphilis cases before and after the COVID-19 pandemic in some WHO-WPRO countries. In addition, temporal trends in the number of syphilis cases in Japan pre- and post-pandemic are described. Annual numbers of syphilis cases during the study periods from China, New Zealand, Australia and Japan were compared. Annual trends of the numbers of syphilis cases during the same study periods were examined in Japan. In 2020, the number of syphilis-positive cases decreased in all four countries. In 2021, though, China, Australia and Japan all showed an increase in the numbers of syphilis cases. However, the rate of increase in China (+2.8%) and Australia (+4.8%) was low compared to Japan (+36.0%). The number of syphilis cases in New Zealand in 2021 was 12.6% lower than in 2020. In 2022, the number of cases of syphilis in China was 7.4% lower than in 2021. The increase of syphilis-positive cases was approximately 6.3-fold higher in Japan compared to Australia (+66.2% vs. +10.5%) in 2022. In conclusion, post-pandemic resurgence of syphilis occurred in Australia and Japan, but not in China and New Zealand. The reason for the substantial increase in syphilis-positive cases in Japan remains unclear. Post-pandemic, prevention and control of sexually transmitted infections still require attention.

Epidemiology of Escherichia coli bloodstream infection antimicrobial resistance trends across South West England during the first 2 years of the coronavirus disease 2019 pandemic response

ObjectivesBetween 2016 and 2019, the proportion of Escherichia coli bloodstream infection (BSI) with resistance to at least one antibiotic increased nationally. Public health interventions implemented in response to the COVID-19 pandemic changed population contact patterns and healthcare systems, with consequent effects on epidemiological trends of numerous pathogens. We investigated the impact of COVID-19 restrictions on epidemiological trends of E. coli BSI antimicrobial resistance (AMR) across South West England. MethodsWe undertook a retrospective ecological analysis utilizing routine surveillance data of E. coli BSI cases reported to the UK Health Security Agency between 2016 and 2021. We analysed AMR trends for antimicrobial agents including amoxicillin–clavulanate, ciprofloxacin, piperacillin–tazobactam, gentamicin, third-generation cephalosporins and carbapenems before and after the implementation of COVID-19 restrictions (23 March 2020) using Bayesian segmented regression. ResultsWe identified 19 055 cases. A total of 50.2% were male. Median age was 76 (interquartile range, 65–85 years). Piperacillin–tazobactam (–2.90% [95% highest density interval {HDI} –4.51%, –0.48%]) and ciprofloxacin (–2.40% [95% HDI –4.35%, 0.48%]) resistance demonstrated immediate step changes at the implementation of COVID-19 restrictions. Gentamicin (odds ratio [OR] 0.92 [95% HDI 0.76, 1.12]) and third-generation cephalosporins (OR 0.95 [95% HDI 0.80, 1.14]) exhibited decreasing annual resistance trends after the implementation of COVID-19 restrictions, with moderate evidence for a lower OR after restrictions as compared to the period before (gentamicin Bayes Factor = 5.10, third-generation cephalosporins Bayes Factor = 6.67). DiscussionCOVID-19 restrictions led to abrupt and longer term changes to E.coli BSI AMR. The immediate effects suggest altered transmission, whereas changes to resistant E. coli reservoirs may explain trend effects.