Local System Research Articles

Evaluation of the policy program for strengthening local food commodities for sustainable food security in papua

Achieving sustainable food security in Papua remains a significant challenge due to the region's heavy reliance on imported food. The policy program aimed at bolstering local food commodities is designed to promote self-sufficiency and ensure long-term food sustainability. This study evaluates the policy program focused on strengthening local food commodities in Papua, specifically targeting sago, sweet potatoes, and maize. The objective is to assess the program's effectiveness in boosting local food production and its overall contribution to sustainable food security. The research methodology integrates both qualitative and quantitative approaches, incorporating secondary data analysis from government reports, field surveys of local farmers, and in-depth interviews with key stakeholders to gain a holistic perspective. The data analysis techniques included thematic analysis for qualitative data, ensuring detailed insights, and statistical methods for quantitative data to provide robust findings. The results indicate that the policy program has increased local food commodity production by 30% over the past five years. However, significant challenges remain, including inadequate infrastructure, limited market access, and insufficient support services for farmers, which hinder the full optimization of the program's benefits. The policy initiative has positively impacted food production and sustainable food security in Papua. For long-term success, it is crucial to improve infrastructure, expand market access, and provide continuous support and training for local farmers. This will ensure the gains achieved by the policy program are maintained and further developed, leading to a more resilient local food system in Papua

Research on the Performance Evaluation System of Teachers in X University based on Analytic Hierarchy Process

In 2019, the gross enrollment rate of higher education in China was 51.6 %, and higher education has entered a period of universalization. the gross enrollment rate of higher education in China has reached 60.2 % by 2023. The change in education methods has caused problems such as declining teaching quality and shortage of school resources in colleges and universities. College teachers are the disseminators of culture, the backbone of teaching and educating people, and a group of high-quality talents in society and colleges and universities. They are the key to improving the quantity and quality of talent training in colleges and universities [1]. In this context, the performance evaluation of college teachers is particularly important, and the performance evaluation system of college teachers is a weather vane of teacher behavior. A scientific and reasonable performance evaluation system for college teachers can effectively motivate teachers to improve their teaching ability, education ability, scientific research ability, social service ability, etc. This paper uses the Delphi method to screen and determine the evaluation indicators initially extracted, and establishes a local university performance evaluation index system that includes the first-level indicators of teacher ethics, teaching level, scientific research ability and social service, 11 second-level indicators and 29 third-level indicators. In order to verify the effectiveness of the index system, a combination of qualitative and quantitative methods is used to take X University as an example. On the premise of understanding the current status of teacher performance management in X University, the performance of teachers in X University is evaluated. Finally, the performance evaluation results of X University are analyzed, and according to the actual situation of X University, suggestions are put forward for the performance evaluation of teachers in X University from three aspects: strengthening teacher workload management, improving performance evaluation feedback mechanism, establishing teacher performance incentive mechanism, strengthening teacher social service, and improving teacher scientific research ability.

The top 100 most cited articles on axon regeneration from 2003 to 2023: a bibliometric analysis

ObjectiveIn this study, we used a bibliometric and visual analysis to evaluate the characteristics of the 100 most cited articles on axon regeneration.MethodsThe 100 most cited papers on axon regeneration published between 2003 and 2023 were identified by searching the Web of Science Core Collection database. The extracted data included the title, author, keywords, journal, publication year, country, and institution. A bibliometric analysis was subsequently undertaken.ResultsThe examined set of 100 papers collectively accumulated a total of 39,548 citations. The number of citations for each of the top 100 articles ranged from 215 to 1,604, with a median value of 326. The author with the most contributions to this collection was He, Zhigang, having authored eight papers. Most articles originated in the United States (n = 72), while Harvard University was the institution with the most cited manuscripts (n = 19). Keyword analysis unveiled several research hotspots, such as chondroitin sulfate proteoglycan, alternative activation, exosome, Schwann cells, axonal protein synthesis, electrical stimulation, therapeutic factors, and remyelination. Examination of keywords in the articles indicated that the most recent prominent keyword was “local delivery.”ConclusionThis study offers bibliometric insights into axon regeneration, underscoring that the United States is a prominent leader in this field. Our analysis highlights the growing relevance of local delivery systems in axon regeneration. Although these systems have shown promise in preclinical models, challenges associated with long-term optimization, agent selection, and clinical translation remain. Nevertheless, the continued development of local delivery technologies represents a promising pathway for achieving axon regeneration; however, additional research is essential to fully realize their potential and thereby enhance patient outcomes.

Perceived Public Participation and Health Delivery in Local Government Districts in Uganda

Abstract: Citizen participation is a crucial aspect of the national health system, empowering individuals to contribute to improving local health services through Health Committees (HCs). HCs promote the participation of citizens in the delivery of primary healthcare services. The study explores the perceptions of citizen participation in the context of the Ruhama County Ntungamo local government area, Uganda. This study aims to understand the impact of HCs on healthcare service delivery. Using a qualitative approach of inquiry grounded in thematic analysis and rooted in principal–agent theory in a single case study, this study examined citizens’ participation in the delivery of a local healthcare service. The study is based on interviews with 66 participants comprising health workers, patients, residents, health administrators, local councillors, and HC members. The findings reveal a notable absence of a health committee in healthcare delivery in Ruhama County. The absence is attributed to a need for a formalised citizen participation structure in managing health facilities and service delivery. It raises concerns about the limited influence of citizens in shaping healthcare policies and decision-making processes. The study recommends the incorporation of health committees into the local health systems to enhance participation and grant communities greater influence over the management of health facilities and service delivery. Incorporating health committees into local health systems strengthens citizen participation and leads to more effective and sustainable healthcare services aligned with people’s needs and preferences. Integrating health committees within Itojo Hospital and similar facilities can grant citizens a meaningful role in shaping the future of their healthcare.

“It’s nourishment we need, not just food”: Contrasting Experiences in South and North America to Alleviate Systemic and Emergent Hunger during COVID-19 Pandemic

The COVID-19 pandemic has reflected our failures and successes as global society in responding to crises, particularly regarding food insecurity. Responses varied greatly around the world. Here, we aimed to identify and compare the government and civil society’s responses to food insecurity and hunger during the pandemic in Montevideo, Uruguay and Wisconsin, USA. We analysed official data on hunger and hunger alleviation strategies and conducted a series of interviews with several Uruguayan and American stakeholders, from NGOs, grassroot organizations, and governmental officers, among other social actors. We also conducted online surveys addressed to Uruguayan consumers and farmers which were answered by over 750 people in the first months of the pandemic. Our analysis and narrative therefore builds on a mixture of qualitative and quantitative data. We enriched our analysis with a series of lived experiences that provided better insights into the feelings, actions and perceptions recorded in the interviews and surveys. We highlight different response strategies (largely top-down in Wisconsin, and a mix of top-down and bottom-up in Montevideo), discuss some of their successes and failures, compare official and popular narratives, and reflect on potential changes to be made to help shape more resilient local food systems but also to enhance the resilience and dignity of communities facing hunger.

Aldosterone-independent regulation of K+ secretion in the distal nephron.

Maintenance of plasma K+ concentration within a narrow range is critical to all cellular functions. The kidneys are the central organ for K+ excretion, and robust renal excretory responses to dietary K+ loads are essential for survival. Recent advances in the field have challenged the view that aldosterone is at the center of K+ regulation. This review will examine recent findings and propose a new mechanism for regulating K+ secretion. Local aldosterone-independent response systems in the distal nephron are increasingly recognized as key components of the rapid response to an acute K+ load, as well as playing an essential role in sustained responses to increased dietary K+. The master kinase mTOR, best known for its role in mediating the effects of growth factors and insulin on growth and cellular metabolism, is central to these aldosterone-independent responses. Recent studies have shown that mTOR, particularly in the context of the "type 2" complex (mTORC2), is regulated by K+ in a cell-autonomous fashion. New concepts related to cell-autonomous K+ signaling and how it interfaces with aldosterone-dependent regulation are emerging. The underlying signaling pathways and effectors of regulated K+ secretion, as well as implications for the aldosterone paradox and disease pathogenesis are discussed.

Genomic investigation of Salmonella enterica Serovar Welikade from a pediatric diarrhea case first time in Shanghai, China

BackgroundSalmonella, an important foodborne pathogen, was estimated to be responsible for 95.1 million cases and 50,771 deaths worldwide. Sixteen serovars were responsible for approximately 80% of Salmonella infections in humans in China, and infections caused by a few uncommon serovars have been reported in recent years, though not with S. Welikade. This study reports the first clinical case caused by S. Welikade in China and places Chinese S. Welikade isolates in the context of global isolates via genomic analysis. For comparison, S. Welikade isolates were also screened in the Chinese Local Surveillance System for Salmonella (CLSSS). The minimum inhibitory concentrations (MICs) of 28 antimicrobial agents were determined using the broth microdilution method. The isolates were sequenced on an Illumina platform to identify antimicrobial resistance genes, virulence genes, and phylogenetic relationships.ResultsThe S. Welikade isolate (Sal097) was isolated from a two-year-old boy with acute gastroenteritis in 2021. Along with the other two isolates found in CLSSS, the three Chinese isolates were susceptible to all the examined antimicrobial agents, and their sequence types (STs) were ST5123 (n = 2) and ST3774 (n = 1). Single nucleotide polymorphism (SNP)-based phylogenetic analysis revealed that global S. Welikade strains can be divided into four groups, and these three Chinese isolates were assigned to B (n = 2; Sal097 and XXB1016) and C (n = 1; XXB700). In Group B, the two Chinese ST5123 isolates were closely clustered with three UK ST5123 isolates. In Group C, the Chinese isolate was closely related to the other 12 ST3774 isolates. The number of virulence genes in the S. Welikade isolates ranged from 59 to 152. The galF gene was only present in Group A, the pipB2 gene was only absent from Group A, the avrA gene was only absent from Group B, and the allB, sseK1, sspH2, STM0287, and tlde1 were found only within Group C and D isolates. There were 15 loci unique to the Sal097 isolate.ConclusionThis study is the first to characterize and investigate clinical S. Welikade isolates in China. Responsible for a pediatric case of gastroenteritis in 2021, the clinical isolate harbored no antimicrobial resistance and belonged to phylogenetic Group B of global S. Welikade genomes.

SE-CNN based emergency control coordination strategy against voltage instability in multi-infeed hybrid AC/DC systems

For receiving-end power systems with multi-infeed HVDCs and large-scale renewable energy generation, the challenges of weak reactive power support and limited anti-interference capacity pose a threat to the power system voltage stability. To enhance the voltage stability under large disturbances, this paper proposes a data-driven method for coordinated emergency control strategy against voltage instability in multi-infeed hybrid AC/DC systems based on the squeeze and excitation (SE) module and convolutional neural network (CNN). Firstly, the SE module and CNN are integrated to intuitively capture correlations among various feature channels and extract key features related to voltage stability levels. Secondly, a voltage stability evaluation method is proposed based on the SE-CNN model, utilizing a dual channel structure to unveil the quantitative relationship between key response characteristics and voltage stability margin. Finally, regarding the control measures containing load shedding and DC modulation, the emergency control sensitivity index is proposed to assess the stability margin improvement effect of various control objects, and the optimal emergency control strategy is formulated to coordinate multiple voltage stability emergency control measures. Case studies were conducted on a typical China local region receiving-end power grid test system with voltage instability problems, and the simulation results verified the effectiveness of the proposed method. © 2017 Elsevier Inc. All rights reserved.

Multi-mode monitoring and energy management for photovoltaic-storage systems

The integration of photovoltaic generation systems and variable demand can cause instability in the distribution network, due to power fluctuations and the increase in reactants, particularly in the industrial sector. In response, photovoltaic units have been equipped with local storage systems, which eventually absorb power fluctuations and improve installation performance. However, during this procedure other functionalities that energy storage could provide are neglected. Consequently, this study provides a multi-mode energy monitoring and management model that enables voltage regulation, frequency regulation and reactive power compensation through the optimal operation of energy storage systems. With this objective, a smoothing control algorithm is developed that interacts with parameters of the electrical grid at the common connection point and also allows the compensation of reactive power based on an industrial demand profile. This strategy uses the Long short-term memory neural network of historical demand data prior to energy consumption with a relatively low RMSE of 1.2e-09. The results are previously validated in a development environment using a real-time OPAL-RT simulator and tests in the electrical Microgrid laboratory at the University of Cuenca. This configuration allows establishing a demand forecasting model that improves the supervision, automation and analysis of daily energy production. A series of results are provided and analyzed that demonstrate that the new tool allows taking advantage of the provision of multimode functionalities, achieving optimal voltage regulation and improving power quality by reducing the total harmonic distortion THD (V) and THD (I) indices by 0.5. % and 2 % respectively.

UMA ABORDAGEM ACERCA DAS DOENÇAS CONGÊNITAS E SUAS DEVIDAS REPERCUSSÕES

Congenital infections are the main causes of permanent disability in children and have a major impact on morbidity and mortality and treatment costs. Among the main infections that can cause complications in pregnancy are: toxoplasmosis, rubella, cytomegalovirus, syphilis, zika virus, herpes, hepatitis, acquired immunodeficiency syndrome and parvovirus B19. These infections can cause morphological changes in fetal tissues or organs, thus, early identification and treatment can reduce maternal-fetal transmission and / or decrease the impact on the fetus. Thus, the aim of this study was to conduct na updated review of congenital infections, highlighting epidemiological, diagnostic and treatment aspects. This is a literature review, and for the construction of the text, the following databases were used: SciELO, pubmed, BVS and Google academic. Therefore, prevention, early diagnosis of congenital infections and other actions aimed at the adequate treatment of women and their children, with the integration of health programs and local surveillance systems, are extremely important for public health.

Development of Hydroacoustic Localization Algorithms for AUV Based on the Error-Corrected WMChan-Taylor Algorithm

Autonomous underwater vehicles (AUVs) are susceptible to non-line-of-sight (NLOS) errors and noise bias at receiving stations during the application of hydroacoustic localization systems, leading to a degradation in positioning accuracy. To address this problem, this paper optimizes the Chan-Taylor algorithm. Initially, we propose the Weighted Modified Chan-Taylor (WMChan-Talor) algorithm, which introduces dynamic weights into the Chan algorithm to correct noise variance at measurement stations, thereby improving the accuracy of AUV positioning. Computer simulations validate the effectiveness of the WMChan-Taylor algorithm in enhancing positioning accuracy. To further address the accuracy degradation caused by noise deviations across different receiving stations, we introduce an error-corrected WMChan-Taylor algorithm. This algorithm utilizes a standard residual function to eliminate significant delays caused by large errors at receiving stations and applies standard residual weighting to improve the combined positioning solution. The performance of the error-corrected WMChan-Taylor algorithm is demonstrated through both computer and semi-physical simulation experiments, confirming its capability to isolate noisier stations and thus enhance overall positioning accuracy.

5G positioning with software-defined radios

Positioning is a key focus in 5G standardization, starting with 3GPP Release 16. However, most of the effort from the research community and work presented in the technical standardization has been limited mainly to simulation studies. This paper explores the use of software-defined radios (SDRs) platforms for 5G positioning, presenting an overview of the current state-of-the-art and available open-source platforms. Utilizing an advanced SDR-based multi-gNodeBs (gNBs) synchronized testbed, the paper conducts a series of time-based, over-the-air measurements. Results offer insights into the impact of various real-world system parameters, such as the number of gNBs, transmission bandwidth, signal processing techniques, and localization algorithms on positioning accuracy and Time to First Fix (TTFF). These findings provide a pathway for the cost-effective and efficient implementation of high-precision 5G localization systems. The paper contributes to advancing both theoretical understanding and practical applications, serving as a guide for the development of 5G positioning technology.

Local food systems as a resilient strategy to ensure sustainable food security in crisis: Lessons from COVID-19 pandemic and perspectives for the post-pandemic world

Abstract The COVID-19 pandemic adversely affected food supply chains and threatened global food security. The nations excessively relying on the import of food were severely affected. The food shortages in various countries worldwide were due to multiple reasons, such as unavailability of land, infertility of the available land, and excessive reliance on the import of foods. The excessive dependence on a few mainstream crops increases the vulnerabilities of the communities. However, several plants, known as traditional or indigenous food plants, are consumed by local populations and form the basis of robust local food systems. They are not cultivated at a large scale in a large area, but local communities have access to the locally available plants that grow near their settlements. Local foods are particularly vital during situations similar to pandemics and wars when the global supply chains are disrupted. This article emphasises the potential of local food system supply chains as a resilient strategy for food security in emergencies such as COVID-19. It further attempts to provide important insights into the vulnerabilities associated with mainstream foods, their impact on food insecurity, and the forthcoming roles of alternative local food systems based on local indigenous plants.

The impact of COVID-19 on heat-related ambulance calls and the challenges for emergency medical transport in the Kansai region, Japan: a mixed methods approach

The COVID-19 pandemic, coupled with more frequent and stronger heatwaves, has introduced a novel confluence of challenges. In Japan, emergency medical transport staffs are facing increasing difficulty in distinguishing between COVID-19 and heat stroke at the scene because they share some similar symptoms. This study explored the impacts of the COVID-19 pandemic on heat-related ambulance calls and identifies the challenges faced by local fire departments in the Kansai region of Japan over 2020–2022. Both historical data analysis and an online questionnaire survey were used in this study. We utilized a heat-related ambulance calls prediction model developed in our previous research based on the historical data (2008–2019) to project the expected number of heat-related ambulance calls from 2020 to 2022. Subsequently, we compared expected number and the actual number of daily heat-related ambulance calls to examine the variations of heat-related ambulance calls across six prefectures in the Kansai region. Our findings reveal a significant decrease in the number of heat-related ambulance calls during the COVID-19 pandemic across all Kansai prefectures, ranging from 3.2% to 22.9%. The decline in heat-related ambulance calls can be attributed to shifts in daily routines, such as the increase of remote work and decrease of outdoor exercise. However, it may also be influenced by the strain on the emergency medical resource. Furthermore, this study has also highlighted substantial pressures on local fire departments and emergency medical transport systems during the pandemic. A primary challenge for local fire departments was securing available medical facilities for patients. Improving the efficiency of the emergency medical transport system and enhancing the coordination between emergency medical services and healthcare facilities may offer a more resilient response in future crises.

The magma plumbing system of the Northern Carnarvon Basin, offshore Australia: multiscale controls on basin-wide magma emplacement, and implications for petroleum exploration

Abstract The Northern Carnarvon Basin (NCB) located on Australia's North West Shelf hosts an extensive (∼40 000 km 2 ) intrusive igneous complex related to Mesozoic rifting and break-up. Using an extensive suite of modern 3D seismic reflection surveys, we have mapped this intrusive system across the NCB. We identify three predominant intrusion morphologies: stacked sheets of large interconnected sill intrusions (up to ∼170 km long) and smaller (8–30 km long) isolated, strata concordant intrusions, which often interact with normal faults emplaced into deltaic sedimentary rocks, and variably sized (10–40 km long) saucer-shaped intrusions emplaced into marine shales, spread across seven zones (geographically constrained groups of intrusions of a specific morphology). We consider the zones’ margin-parallel orientation, suggesting control by subcrustal extensional processes during rifting, and the variation in intrusion morphology between these zones, suggesting a dominant control by host rock mechanical properties. We integrate previous work with our observations, constraining emplacement to between the Kimmeridgian and Valanginian, coinciding with key phases of margin evolution. Finally, we assess the impact of this intrusive complex on local petroleum systems. There is likely little to no adverse impact on source rock maturation or reservoir contamination by CO 2 , but there is a spatial dissociation between the location of groups of intrusions and the gas fields, particularly in the Exmouth Plateau. This suggests that migrating hydrocarbons may be blocked, baffled and/or redirected by emplaced igneous rocks.

Poloxamer 407 modified collagen/β-tricalcium phosphate scaffold for localized delivery of alendronate.

Systemic administration of alendronate is associated with various adverse reactions in clinical settings. To mitigate these side effects, poloxamer 407 (P-407) modified with cellulose was chosen to encapsulate alendronate. This drug-loaded system was then incorporated into a collagen/β-tricalcium phosphate (β-TCP) scaffold to create a localized drug delivery system. Nuclear magnetic resonance spectrum and rheological studies revealed hydrogen bonding between P-407 and cellulose as well as a competitive interaction with water that contributed to the delayed release of alendronate (ALN). Analysis of the degradation kinetics of P-407 and release kinetics of ALN indicated zero-order kinetics for the former and Fickian or quasi-Fickian diffusion for the latter. The addition of cellulose, particularly carboxymethyl cellulose (CMC), inhibited the degradation of P-407 and prolonged the release of ALN. The scaffold's structure increased the contact area of P-407 with the PBS buffer, thereby, influencing the release rate of ALN. Finally, biocompatibility testing demonstrated that the drug delivery system exhibited favorable cytocompatibility and hemocompatibility. Collectively, these findings suggest that the drug delivery system holds promise for implantation and bone healing applications.

SCOUT® Localization Using MRI Guidance: Initial Experience.

The Food and Drug Administration approved the MRI-compatible wireless SCOUT localization system in April 2022. The purpose of this study was to evaluate feasibility of SCOUT localization under MRI guidance. We present our initial experience adopting MRI-guided SCOUT localization and compare it to MRI-guided wire localization. Electronic medical records and imaging were retrospectively reviewed for all patients who underwent MRI-guided SCOUT or wire localization at our institution between October 2022 and July 2023. Statistical analysis was performed using 2-sample proportion and Wilcoxon rank-sum tests. There were 14 MRI-guided SCOUT and 23 MRI-guided wire localization cases during the study period. All SCOUTs were placed without complication and were considered to be in adequate proximity to the target. There was no significant difference in complication rate (P = .25) or days lapsed from MRI-detected abnormality to surgery (P = .82) between SCOUT and wire cases. SCOUT was placed at time of biopsy for 71% (10/14) of cases. 57% (8/14) of SCOUT cases were used for breast conservation surgery (BCS) compared to 100% (23/23) of wire cases (P <.01), with all 6 SCOUTs not used for BCS placed at time of biopsy. MRI-guided SCOUT localization is feasible and offers an alternative to MRI-guided wire localization, with no SCOUT complications reported. SCOUT placement at time of biopsy obviates the need for an additional procedure, but predicting appropriateness is challenging, with 60% (6/10) of SCOUTs placed at time of MRI-guided biopsy not used for subsequent localization surgery.

ROS-based multi-sensor integrated localization system for cost-effective and accurate indoor navigation system

ROS-based multi-sensor integrated localization system for cost-effective and accurate indoor navigation system

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.

A data-driven approach to implementing the HPTN 094 complex intervention INTEGRA in local communities

BackgroundHIV burden in the US among people who inject drugs (PWID) is driven by overlapping syndemic factors such as co-occurring health needs and environmental factors that synergize to produce worse health outcomes among PWID. This includes stigma, poverty, and limited healthcare access (e.g. medication to treat/prevent HIV and for opioid use disorder [MOUD]). Health services to address these complex needs, when they exist, are rarely located in proximity to each other or to the PWID who need them. Given the shifting drug use landscapes and geographic heterogeneity in the US, we evaluate a data-driven approach to guide the delivery of such services to PWID in local communities.MethodsWe used a hybrid, type I, embedded, mixed method, data-driven approach to identify and characterize viable implementation neighborhoods for the HPTN 094 complex intervention, delivering integrated MOUD and HIV treatment/prevention through a mobile unit to PWID across five US cities. Applying the PRISM framework, we triangulated geographic and observational pre-implementation phase data (epidemiological overdose and HIV surveillance data) with two years of implementation phase data (weekly ecological assessments, study protocol meetings) to characterize environmental factors that affected the viability of implementation neighborhoods over time and across diverse settings.ResultsNeighborhood-level drug use and geographic diversity alongside shifting socio-political factors (policing, surveillance, gentrification) differentially affected the utility of epidemiological data in identifying viable implementation neighborhoods across sites. In sites where PWID are more geographically dispersed, proximity to structural factors such as public transportation and spaces where PWID reside played a role in determining suitable implementation sites. The utility of leveraging additional data from local overdose and housing response systems to identify viable implementation neighborhoods was mixed.ConclusionsOur findings suggest that data-driven approaches provide a contextually relevant pragmatic strategy to guide the real-time implementation of integrated care models to better meet the needs of PWID and help inform the scale-up of such complex interventions. This work highlights the utility of implementation science methods that attend to the impact of local community environmental factors on the implementation of complex interventions to PWID across diverse drug use, sociopolitical, and geographic landscapes in the US.Trial registrationClincalTrials.gov, Registration Number: NCT04804072. Registered 18 February 2021.