Empowering public health: building advanced molecular surveillance in resource-limited settings through collaboration and capacity-building.

The rapid detection and continuous surveillance of infectious diseases are important components of an effective public health response. However, establishing advanced molecular surveillance systems, crucial for monitoring and mitigating pandemics, poses significant challenges in resource-limited developing countries. In a collaborative effort, research institutions from Benin joined forces with Mali's National Institute of Public Health to implement a state-of-the-art molecular surveillance system in Mali. This approach was characterized by collaboration, multidisciplinarity, and tutoring. Key activities included a comprehensive assessment of infrastructure and human resources through document reviews, interviews, and laboratory visits; the development and validation of Standard Operating Procedures (SOPs) for advanced molecular surveillance following an inclusive approach; capacity-building initiatives for 25 biologists in Mali on sequencing techniques; and international tutoring sessions for eight Malian professionals held in Benin. These collective efforts enabled Mali to establish an advanced molecular surveillance system aligned with the WHO's global strategy for genomic surveillance. This manuscript aims to share experiences, insights, and outcomes from this initiative, with the hope of contributing to the broader discussion on strengthening global health security through collaborative approaches and capacity-building efforts, particularly in developing countries.

Evaluation of the sentinel yellow fever surveillance system in Uganda, 2017-2022: strengths and weaknesses.

BACKGROUND: Uganda has a sentinel surveillance system in seven high-risk sites to monitor yellow fever (YF) patterns and detect outbreaks. We evaluated the performance of this system from 2017 to 2022. METHODS: We evaluated selected attributes, including timeliness (lags between different critical time points), external completeness (proportion of expected sentinel sites reporting ≥ 1 suspect case in the system annually), and internal completeness (proportion of reports with the minimum required data elements filled), using secondary data in the YF surveillance database from January 2017-July 2022. We conducted key informant interviews with stakeholders at health facility and national level to assess usefulness, flexibility, simplicity, and acceptability of the surveillance system. RESULTS: In total, 3,073 suspected and 15 confirmed YF cases were reported. The median time lag from sample collection to laboratory shipment was 37 days (IQR:21-54). External completeness was 76%; internal completeness was 65%. Stakeholders felt that the surveillance system was simple and acceptable, but were uncertain about flexibility. Most (71%) YF cases in previous outbreaks were detected through the sentinel surveillance system; data were used to inform interventions such as intensified YF vaccination. CONCLUSION: The YF sentinel surveillance system was useful in detecting outbreaks and informing public health action. Delays in case confirmation and incomplete data compromised its overall effectiveness and efficiency.

Syndromic Surveillance Tracks COVID-19 Cases in University and County Settings: Retrospective Observational Study.

Background: Syndromic surveillance represents a potentially inexpensive supplement to test-based COVID-19 surveillance. By strengthening surveillance of COVID-19-like illness (CLI), targeted and rapid interventions can be facilitated that prevent COVID-19 outbreaks without primary reliance on testing. Objective: This study aims to assess the temporal relationship between confirmed SARS-CoV-2 infections and self-reported and health care provider-reported CLI in university and county settings, respectively. Methods: We collected aggregated COVID-19 testing and symptom reporting surveillance data from Cornell University (2020-2021) and Tompkins County Health Department (2020-2022). We used negative binomial and linear regression models to correlate confirmed COVID-19 case counts and positive test rates with CLI rate time series, lagged COVID-19 cases or rates, and day of the week as independent variables. Optimal lag periods were identified using Granger causality and likelihood ratio tests. Results: In modeling undergraduate student cases, the CLI rate (P=.003) and rate of exposure to CLI (P<.001) were significantly correlated with the COVID-19 test positivity rate with no lag in the linear models. At the county level, the health care provider-reported CLI rate was significantly correlated with SARS-CoV-2 test positivity with a 3-day lag in both the linear (P<.001) and negative binomial model (P=.005). Conclusions: The real-time correlation between syndromic surveillance and COVID-19 cases on a university campus suggests symptom reporting is a viable alternative or supplement to COVID-19 surveillance testing. At the county level, syndromic surveillance is also a leading indicator of COVID-19 cases, enabling quick action to reduce transmission. Further research should investigate COVID-19 risk using syndromic surveillance in other settings, such as low-resource settings like low- and middle-income countries.

The Power of Networking.

This paper explores the critical role of networking, particularly within the oncology data specialist community, in developing and implementing an educational course. Networking, both within and beyond academia, is essential for gathering resources, expertise, and support necessary for designing and delivering an effective curriculum tailored to the demands of oncology data analysis. Networking within this specialized community facilitates collaboration with other educators and professionals, sharing of best practices, innovative teaching methodologies, and assessment strategies specific to oncology data analysis. This paper examines how networking within the oncology data specialist community contributed to the creation of a dynamic and comprehensive course, ultimately enriching the educational experience and preparing students for success.

Italian National Surveillance of Alcohol-Based Hand Rub Consumption in a Healthcare Setting-A Three-Year Analysis: 2020-2022.

Background/Objectives: Hand hygiene (HH) is pivotal in mitigating infectious disease transmission and enhancing public health outcomes. This study focuses on detailing the national surveillance system for alcohol-based hand rub (ABHR) consumption in healthcare facilities across Italy, presenting results from a comprehensive three-year evaluation period, from 2020 to 2022. It aims to delineate this surveillance system and report on ABHR consumption trends in various Regions/Autonomous Provinces (Rs/APs). Methods: ABHR consumption data, collected through the ABHR Italian national surveillance system, coordinated by the Istituto Superiore di Sanità (ISS), were analyzed. Statistical methods, e.g., the Mann-Whitney test, were used to assess trends in ABHR consumption, expressed in liters per 1000 patient days (L/1000PD). Results: The results show significant variation in ABHR consumption across Rs/APs and over the years studied. National median ABHR consumption decreased from 2020 to 2022, with a significant reduction from a median of 24.5 L/1000PD in 2020 to 20.4 L/1000PD in 2021 and 15.6 L/1000PD in 2022. Conclusions: The decline in ABHR consumption raises concerns about the ongoing adherence to HH practices in Italian healthcare settings. This underscores the essential role that systematic ABHR monitoring and improved surveillance play in enhancing HH compliance, suggesting that sustained and strategic efforts are fundamental to uphold high standards of hygiene and to effectively respond to fluctuating ABHR usage trends over time. Further research is needed to explore barriers to effective ABHR use and to develop targeted strategies to improve HH practices.

Evaluation of surveillance system and response for maternal and perinatal mortalities in Meda Welabu District, Ethiopia, 2023.

The weekly disease surveillance system (WDSS) serves as a precursor to possible public health emergencies. The Meda Welabu Woreda Bale Zone in Ethiopia has reporting rates of 87% overall timeliness and 88% completeness in 2023, falling short of the 100% objective. Low reporting rates could mean that epidemics in the province are only discovered later. In the Meda Welabu Woreda Bale Zone of Ethiopia, the study was carried out to assess the WDSS maternal and perinatal death surveillance response (MPDSR). Using the most recent Centers for Disease Control (CDC) criteria for assessing public health monitoring systems, we carried out a descriptive cross-sectional analysis. Data from the health workers were gathered through key informant interviews and questionnaires given by the interviewer. Using checklists, the availability of resources was evaluated. Twenty-two health personnel and twelve Health Extension Workers were questioned; of them, 15 (44%) were females. Nurses made up 18 (53%) of the health personnel. Only sixteen (47%) of the respondents were aware of the WDSS goals, compared to thirty-four (53%) who were aware of the deadlines for submitting data to the next level. A total of eight (24%) responders received training in using the WDSS. 26(76%) respondents said they would be willing to continue participating in the WDSS, whereas 6 (18%) respondents said they had analyzed the data from the WDSS. Of the health facilities, seven (50%) reported having issues with the district public health emergency officer. However, low attention to immediately report on maternal and perinatal death (42.9%). It was concluded that the WDSS was adaptable, reasonable, and easy to use. That was erratic and premature, though. We suggest that healthcare professionals in the province receive training on maternal and perinatal death surveillance response. In Meda Welabu Woreda Bale Zone conducted an evaluation in 2023 of the weekly disease surveillance system, maternal and perinatal death surveillance response. Launched in 1998, the system tracks weekly trends of diseases under surveillance to provide an early warning of any dangers to public health, but maternal and perinatal death surveillance were included on 2013. On the other hand, in 2023, the overall completion and timeliness of reports was 88%, falling short of the 100% aim. Low rates of reporting could mean that outbreaks and quality of service in the province were discovered later than expected. Using current centers for disease control criteria and interviewer-administered data, a descriptive cross-sectional study was undertaken.

Donor-derived mold infections in lung transplant recipients: The importance of active surveillance.

Unexpected donor-derived fungal infections represent a rare but potentially fatal complication in lung transplant (Tx) recipients. Timely communication of the results of donor cultures and prompt treatment of recipients are crucial to mitigate the consequences of donor-derived transmissions. In this prospective cohort study, all consecutive patients who underwent lung transplantation from 2015 to 2022 were included. In December 2015, a Local Active Surveillance System has been implemented to provide biovigilance of donor culture results and optimize recipients' management. The aim of this study is to investigate the incidence of unexpected, mold-positive cultures among lung donors and the rate of transmission to recipients. Furthermore, management strategies and outcome of recipients with mold transmission are described. In case of isolation of the same mold in donor and recipient cultures, when possible, transmission was confirmed by dendrogram analysis. During the study period, 82 lung Tx were performed from 80 donors. The prevalence of donors with "unexpected" mold isolation from the respiratory tract was 3.75% (3/80). Isolated molds were Aspergillus niger, Rhizopus oryzae, and Aspergillus flavus. Transmissions occurred in all the three cases (100%) with a mean time of 5 days from lung Tx but none of the recipients developed invasive mold disease. Our Local Active Surveillance System allowed prompt recognition of lung donors unexpected mold colonization. Even though transmission occurred, introduction of early targeted antifungal therapy prevented potential catastrophic consequence of mold donor-derived infection in the immediate post-Tx period.

Expert consensus on One Health for establishing an enhanced and integrated surveillance system for key infectious diseases.

China has been continuously improving its monitoring methods and strategies to address key infectious diseases (KIDs). After the severe acute respiratory syndrome epidemic in 2003, China established a comprehensive reporting system for infectious diseases (IDs) and public health emergencies. The relatively lagging warning thresholds, limited warning information, and outdated warning technology are insufficient to meet the needs of comprehensive monitoring for modern KIDs. Strengthening early monitoring and warning capabilities to enhance the public health system has become a top priority, with increasing demand for early warning thresholds, information, and techniques, thanks to constant innovation and development in molecular biology, bioinformatics, artificial intelligence, and other identification and analysis technologies. A panel of 31 experts has recommended a fourth-generation comprehensive surveillance system targeting KIDs (41 notifiable diseases and emerging IDs). The aim of this surveillance system is to systematically monitor the epidemiology and causal pathogens of KIDs in hosts such as humans, animals, and vectors, along with associated environmental pathogens. By integrating factors influencing epidemic spread and risk assessment, the surveillance system can serve to detect, predict, and provide early warnings for the occurrence, development, variation, and spread of known or novel KIDs. Moreover, we recommend comprehensive ID monitoring based on the fourth-generation surveillance system, along with a data-integrated monitoring and early warning platform and a consortium pathogen detection technology system. This series of considerations is based on systematic and comprehensive monitoring across multiple sectors, dimensions, factors, and pathogens that is supported by data integration and connectivity. This expert consensus will provides an opportunity for collaboration in various fields and relies on interdisciplinary application to enhance comprehensive monitoring, prediction, and early warning capabilities for the next generation of ID surveillance. This expert consensus will serve as a reference for ID prevention and control as well as other related activities.

Model correction of diagnostic coding-based RSV incidence for children 0-4 years in the US.

BACKGROUND: Although administrative claims data have a high degree of completeness, not all medically attended Respiratory Syncytial Virus-associated lower respiratory tract infections (RSV-LRTIs) are tested or coded for their causative agent. We sought to determine the attribution of RSV to LRTI in claims data via modeling of temporal changes in LRTI rates against surveillance data. METHODS: We estimated the weekly incidence of LRTI (inpatient, outpatient, and total) for children 0-4 years using 2011-2019 commercial insurance claims, stratified by HHS region, matched to the corresponding weekly NREVSS RSV and influenza positivity data for each region, and modelled against RSV, influenza positivity rates, and harmonic functions of time assuming negative binomial distribution. LRTI events attributable to RSV were estimated as predicted events from the full model minus predicted events with RSV positivity rate set to 0. RESULTS: Approximately 42% of predicted RSV cases were coded in claims data. Across all regions, the percentage of LRTI attributable to RSV were 15-43%, 10-31%, and 10-31% of inpatient, outpatient, and combined settings, respectively. However, when compared to coded inpatient RSV-LRTI, 9 of 10 regions had improbable corrected inpatient LRTI estimates (predicted RSV/coded RSV ratio < 1). Sensitivity analysis based on separate models for PCR and antigen-based positivity showed similar results. CONCLUSIONS: Underestimation based on coding in claims data may be addressed by NREVSS-based adjustment of claims-based RSV incidence. However, where setting-specific positivity rates is unavailable, we recommend modeling across settings to mirror NREVSS's positivity rates which are similarly aggregated, to avoid inaccurate adjustments.

Enhancements to the National HIV Surveillance System, United States, 2013-2023.

HIV infection is monitored through the National HIV Surveillance System (NHSS) to help improve the health of people with HIV and reduce transmission. NHSS data are routinely used at federal, state, and local levels to monitor the distribution and transmission of HIV, plan and evaluate prevention and care programs, allocate resources, inform policy development, and identify and respond to rapid transmission in the United States. We describe the expanded use of HIV surveillance data since the 2013 NHSS status update, during which time the Centers for Disease Control and Prevention (CDC) coordinated to revise the HIV surveillance case definition to support the detection of early infection and reporting of laboratory data, expanded data collection to include information on sexual orientation and gender identity, enhanced data deduplication processes to improve quality, and expanded reporting to include social determinants of health and health equity measures. CDC maximized the effects of federal funding by integrating funding for HIV prevention and surveillance into a single program; the integration of program funding has expanded the use of HIV surveillance data and strengthened surveillance, resulting in enhanced cluster response capacity and intensified data-to-care activities to ensure sustained viral suppression. NHSS data serve as the primary source for monitoring HIV trends and progress toward achieving national initiatives, including the US Department of Health and Human Services' Ending the HIV Epidemic in the United States initiative, the White House's National HIV/AIDS Strategy (2022-2025), and Healthy People 2030. The NHSS will continue to modernize, adapt, and broaden its scope as the need for high-quality HIV surveillance data remains.

Modeling the Regional Distribution of International Travelers in Spain to Estimate Imported Cases of Dengue and Malaria: Statistical Inference and Validation Study.

BACKGROUND: Understanding the patterns of disease importation through international travel is paramount for effective public health interventions and global disease surveillance. While global airline network data have been used to assist in outbreak prevention and effective preparedness, accurately estimating how these imported cases disseminate locally in receiving countries remains a challenge. OBJECTIVE: This study aimed to describe and understand the regional distribution of imported cases of dengue and malaria upon arrival in Spain via air travel. METHODS: We have proposed a method to describe the regional distribution of imported cases of dengue and malaria based on the computation of the "travelers' index" from readily available socioeconomic data. We combined indicators representing the main drivers for international travel, including tourism, economy, and visits to friends and relatives, to measure the relative appeal of each region in the importing country for travelers. We validated the resulting estimates by comparing them with the reported cases of malaria and dengue in Spain from 2015 to 2019. We also assessed which motivation provided more accurate estimates for imported cases of both diseases. RESULTS: The estimates provided by the best fitted model showed high correlation with notified cases of malaria (0.94) and dengue (0.87), with economic motivation being the most relevant for imported cases of malaria and visits to friends and relatives being the most relevant for imported cases of dengue. CONCLUSIONS: Factual descriptions of the local movement of international travelers may substantially enhance the design of cost-effective prevention policies and control strategies, and essentially contribute to decision-support systems. Our approach contributes in this direction by providing a reliable estimate of the number of imported cases of nonendemic diseases, which could be generalized to other applications. Realistic risk assessments will be obtained by combining this regional predictor with the observed local distribution of vectors.

Predictors of stool deoxyribonucleic acid test use in the United States: Implications for outreach to under-resourced populations.

OBJECTIVE: Although colorectal cancer screening (CRCS) is a public health priority, uptake is suboptimal in under-resourced groups. Noninvasive modalities, including stool deoxyribonucleic acid (sDNA) testing, may mitigate economic, geographic, cultural, or impairment-related barriers to CRCS. We assessed use of sDNA testing and other CRCS modalities in U.S. residents, comparing subgroups defined by several social determinants of health (SDOH). METHODS: A nationally representative sample of community-dwelling respondents aged 50-75 years self-reported use of CRCS modalities in the 2020 Behavioral Risk Factor Surveillance System Survey. Statistical analyses assessed up-to-date screening status and choice of modality in the recommended screening interval. RESULTS: Of 179,833 sampled respondents, 60.8% reported colonoscopy, 5.7% sDNA testing, 5.5% another modality. The rate of up-to-date screening was 72.0% overall and negatively associated with Hispanic ethnicity (63.6%), lower educational and annual income levels (e.g.,

Caesarean delivery and neonatal mortality: evidence from selected slums in and around Dhaka city, Bangladesh- A prospective cohort study.

BACKGROUND: This study examined the neonatal mortality for newborn of women who delivered by caesarean section or vaginally using a prospective cohort. METHODS: A total of 6,989 live births registered from 2016 to 2018, were followed for neonatal survival from the selected slums of Dhaka (North and South) and Gazipur city corporations, where icddr,b maintained the Health and Demographic Surveillance System (HDSS). Neonatal mortality was compared by maternal and newborn characteristics and mode of delivery using z-test. Logistic regression model performed for neonatal mortality by mode of delivery controlling selected covariates and reported adjusted odd ratios (aOR) with 95% confidence interval (CI). RESULTS: Out of 6,989 live births registered, 27.7% were caesarean and the rest were vaginal delivery; of these births, 265 neonatal deaths occurred during the follow-up. The neonatal mortality rate was 2.7 times higher (46 vs. 17 per 1,000 births) for vaginal than caesarean delivered. Until 3rd day of life, the mortality rate was very high for both vaginal and caesarean delivered newborn; however, the rate was 24.8 for vaginal and 6.3 per 1,000 live births for caesarean delivered on the 1st day of life. After adjusting the covariates, the odds of neonatal mortality were higher for vaginal than caesarean delivered (aOR: 2.63; 95% CI: 1.82, 3.85). Additionally, the odds were higher for adolescent than elderly adult mother (aOR: 1.60; 95% CI: 1.03, 2.48), for multiple than singleton birth (aOR: 5.40; 95% CI: 2.82, 10.33), for very/moderate (aOR: 5.13; 95% CI: 3.68, 7.15), and late preterm birth (aOR: 1.48; 95% CI: 1.05, 2.08) than term birth; while the odds were lower for girl than boy (aOR: 0.74; 95% CI: 0.58, 0.96), and for 5th wealth quintile than 1st quintile (aOR: 0.59, 95% CI: 0.38, 0.91). CONCLUSION: Our study found that caesarean delivered babies had significantly lower neonatal mortality than vaginal delivered. Therefore, a comprehensive delivery and postnatal care for vaginal births needed a special attention for the slum mothers to ensure the reduction of neonatal mortality.

European Board and College of Obstetrics and Gynaecology position statement on maternal mortality surveillance in Europe.

Maternal mortality data and review are important indicators of the effectiveness of maternity healthcare systems and an impetus for action. Recently, a rising incidence of maternal mortality in high income countries has been reported. Various publications have raised concern about data collection methods at country level, as this usually relies mainly on national vital statistics. It is therefore essential that the collected data are complete and accurate and conform to international definitions and disease classification. Accurate data and review can only be truly available when an Enhanced Obstetric Surveillance System is in place. EBCOG calls for action by national societies to work closely with their respective ministries of health to ensure that high quality surveillance systems are in place.

Mortality Associated with Priority Diseases in Flood-Affected Areas Using District Health Information System (DHIS2) During September-December 2022: Pakistan Experience.

OBJECTIVES: To quantify the burden of communicable diseases and characterize the most reported infections during public health emergency of floods in Pakistan. METHODS: The study's design is a descriptive trend analysis. The study utilized the disease data reported to District Health Information System (DHIS2) for the 12 most frequently reported priority diseases under the Integrated Disease Surveillance and Response (IDSR) system in Pakistan. RESULTS: In total, there were 1,532,963 suspected cases during August to December 2022 in flood-affected districts (n = 75) across Pakistan; Sindh Province reported the highest number of cases (n = 692,673) from 23 districts, followed by Khyber Pakhtunkhwa (KP) (n = 568,682) from 17 districts, Balochistan (n = 167,215) from 32 districts, and Punjab (n = 104,393) from 3 districts. High positivity was reported for malaria (79,622/201,901; 39.4%), followed by acute diarrhea (non-cholera) (23/62; 37.1%), hepatitis A and E (47/252; 18.7%), and dengue (603/3245; 18.6%). The crude mortality rate was 11.9 per 10 000 population (1824/1,532,963 [deaths/cases]). CONCLUSION: The study identified acute respiratory infection, acute diarrhea, malaria, and skin diseases as the most prevalent diseases. This suggests that preparedness efforts and interventions targeting these diseases should be prioritized in future flood response plans. The study highlights the importance of strengthening the IDSR as a Disease Early Warning System through the implementation of the DHIS2.

Perceptions of Healthcare Workers on the Attributes of the Integrated Disease Surveillance and Response System in Zimbabwe.

OBJECTIVE: To investigate healthcare workers' perceptions of the integrated disease surveillance and response (IDSR) strategy. METHODS: A cross-sectional survey of healthcare workers (HCWs) was conducted from December 2021 to June 2022 to assess their perceptions of the IDSR system attributes. RESULTS: Of the 409 respondents, 12 (2.9%) reported no prior training on disease surveillance. The IDSR was deemed simple, acceptable, useful, and timely by most participants. There were sharp differences in perceptions of flexibility and simplicity between doctors and the other healthcare professionals. However, acceptability, timeliness, and usefulness were uniformly perceived. Healthcare workers with at least 11-years' experience perceived the usefulness of the IDSR system significantly higher than those with lesser years of experience. However, work experience did not have an impact on HCWs perceptions of the simplicity, timeliness, and flexibility of the IDSR system. CONCLUSIONS: Most healthcare workers have positive perceptions of the IDSR approach. However, there are reservations about how well the system can adapt to changing conditions and demands (flexibility) and how well it simplifies the implementation processes. These findings demonstrate the necessity of adopting cutting-edge strategies for capacity building as well as ongoing professional development of healthcare professionals responsible for the implementation of the IDSR strategy.

Le morti in utero: risultati di un progetto pilota di sorveglianza della mortalità perinatale in Italia (SPItOSS).

OBJECTIVES: to describe the results of a pilot population-based perinatal mortality surveillance system, with regards to stillbirths; to study maternal, obstetric, and foetal characteristics, evaluating risk factors and understanding causes. DESIGN: a cross-sectional study was conducted on incident cases of stillbirths collected by the surveillance system from July 2017 to June 2019 in three Italian Regions (Lombardy, Tuscany, and Sicily). SETTING AND PARTICIPANTS: data on stillbirths, resulting from the in-hospital multidisciplinary audits, organised using the Significant Event Audit methodology, were analysed. According to the World Health Organization (WHO) definitions, the project identified stillbirths as foetuses born dead >=28 weeks of gestation. The WHO International Classification of Diseases-Perinatal Mortality was used to categorise the causes of foetal death. MAIN OUTCOMES MEASURES: maternal characteristics, obstetric and foetal findings were investigated. Unadjusted relative risks and 95% confidence intervals were computed with respect to the background population. Finally, causes of death and contributing maternal conditions have been considered. RESULTS: the maternity and neonatal units of the three participating Regions notified 520 stillbirths, of which 435 cases underwent to the multidisciplinary audit (83.7%); 40.0% of cases occurred in the gestational age range between 36 and 39 weeks. The risk of stillbirth was significantly increased in mothers with foreign citizenship (RR: 1.39; 95%CI: 1.13-1.71), multiple pregnancies (RR: 1.59; 95%CI 1.05-2.42), and pregnancies conceived with assisted reproductive technologies (RR: 2.15; 95%CI 1.45-3.19). The rate of congenital malformations was 6.0%. A diagnosis of foetal growth restriction was reported in 10.3% of cases, although the percentage of dead foetuses weighting <10° centile was at least twice in almost all gestational age periods. Post-mortem and placental histological examinations were carried out in more than 70% and more than 90% of cases, respectively. CONCLUSIONS: the implementation of a population-based surveillance system with high participation rate of maternity units and the use of universally accepted definitions could improve the identification of stillbirth avoidable risk factors and potentially modifiable predisposing maternal conditions, highlighting issues of perinatal assistance in need of improvement.

Early life ambient air pollution, household fuel use, and under-5 mortality in Ghana.

INTRODUCTION: Environmental exposures, such as ambient air pollution and household fuel use affect health and under-5 mortality (U5M) but there is a paucity of data in the Global South. This study examined early-life exposure to ambient particulate matter with a diameter of 2.5 µm or less (PM2.5), alongside household characteristics (including self-reported household fuel use), and their relationship with U5M in the Navrongo Health and Demographic Surveillance Site (HDSS) in northern Ghana. METHODS: We employed Satellite-based spatiotemporal models to estimate the annual average PM2.5 concentrations with the Navrongo HDSS area (1998 to 2016). Early-life exposure levels were determined by pollution estimates at birth year. Socio-demographic and household data, including cooking fuel, were gathered during routine surveillance. Cox proportional hazards models were applied to assess the link between early-life PM2.5 exposure and U5M, accounting for child, maternal, and household factors. FINDINGS: We retrospectively studied 48,352 children born between 2007 and 2017, with 1872 recorded deaths, primarily due to malaria, sepsis, and acute respiratory infection. Mean early-life PM2.5 was 39.3 µg/m3, and no significant association with U5M was observed. However, Children from households using "unclean" cooking fuels (wood, charcoal, dung, and agricultural waste) faced a 73 % higher risk of death compared to those using clean fuels (adjusted HR = 1.73; 95 % CI: 1.29, 2.33). Being born female or to mothers aged 20-34 years were linked to increased survival probabilities. INTERPRETATION: The use of "unclean" cooking fuel in the Navrongo HDSS was associated with under-5 mortality, highlighting the need to improve indoor air quality by introducing cleaner fuels.

Role of Insulin Use and Social Determinants of Health on Non-melanoma Skin Cancer: Results From the Behavioral Risk Factor Surveillance System.

BACKGROUND: Non-melanoma skin cancer (NMSC) is a frequent type of malignancy with a steadily increasing incidence rate worldwide. Although NMSC was shown to be associated with diabetes, no studies have addressed the extent to which insulin use influences the risk of NMSC in light of social determinants of health (SDOH). We conducted a quantitative study that examined the interplay between insulin use, SDOH, additional covariates, and NMSC among individuals with diabetes. METHODS: We based our analysis on the 2020 Behavioral Risk Factor Surveillance System (BRFSS), a national survey conducted yearly in the US. We performed weighted chi-squared test, logistic regression, and survival analyses on 8685 eligible participants with diabetes enrolled in the BRFSS. RESULTS: Kaplan Meier survival curves showed higher probability of NMSC event-free survival for participants with diabetes using insulin compared to participants with diabetes not using insulin (log-rank test P < .001). Significant associations were detected between insulin use and reduced odds of NMSC (OR .56; 95% CI: .38-.82), and decreased hazard (HR .36; 95% CI: .21-.62), along with indices of SDOH. CONCLUSIONS: Our findings suggest that socioeconomic differences related to the healthcare system and behavioral patterns are linked to discrepancies in the use of insulin and the development of NMSC.

A nationwide analysis of upper extremity injuries in martial arts.

Objective: Given the rise of martial arts within the fitness and recreational industry, it is important to study trends in injury and note that practicing martial arts comes with a risk of injury, particularly to the upper extremities. By studying consumer product-related injuries to the upper extremities and addressing the current gap in the literature, future martial arts equipment can come with increased safety features, better provide information to healthcare providers treating such injuries, and improve risk mitigation through the Consumer Product Safety Commission. Methods: The National Electronic Injury Surveillance System Database was analyzed to collect data on martial arts equipment-related injuries on the upper extremities within the last 10 years. Results: Over the most recent span of 10 years (2013-2022), there were approximately 78,680 injuries reported to the ED. The majority of them took place in 2013 (12.8%). Men were 2.4 times more likely to get injured than women. Injuries peaked in the age group 10-19-year-olds (33%) and particularly age 12 (4.8%). The upper extremity most commonly affected was the shoulder (29.1%), and the most common diagnosis group was a fracture (29.2%). Most injuries presented to the emergency department were not hospitalized (98.7%). Conclusions: This study highlights the occurrence of upper extremity injuries due to martial arts within the last 10 years and provides new information on the prevalence of such injuries. The results highlight that these injuries are usually non-severe and most commonly affect adolescent males; however, future research should explore performance-based recovery post-injury and long-term pain.