Modeling Microbial Community Networks: Methods and Tools for Studying Microbial Interactions.

Microbial interactions function as a fundamental unit in complex ecosystems. By characterizing the type of interaction (positive, negative, neutral) occurring in these dynamic systems, one can begin to unravel the role played by the microbial species. Towards this, various methods have been developed to decipher the function of the microbial communities. The current review focuses on the various qualitative and quantitative methods that currently exist to study microbial interactions. Qualitative methods such as co-culturing experiments are visualized using microscopy-based techniques and are combined with data obtained from multi-omics technologies (metagenomics, metabolomics, metatranscriptomics). Quantitative methods include the construction of networks and network inference, computational models, and development of synthetic microbial consortia. These methods provide a valuable clue on various roles played by interacting partners, as well as possible solutions to overcome pathogenic microbes that can cause life-threatening infections in susceptible hosts. Studying the microbial interactions will further our understanding of complex less-studied ecosystems and enable design of effective frameworks for treatment of infectious diseases.

Study protocol: improving response to malaria in the Amazon through identification of inter-community networks and human mobility in border regions of Ecuador, Peru and Brazil.

INTRODUCTION: Understanding human mobility's role in malaria transmission is critical to successful control and elimination. However, common approaches to measuring mobility are ill-equipped for remote regions such as the Amazon. This study develops a network survey to quantify the effect of community connectivity and mobility on malaria transmission. METHODS: We measure community connectivity across the study area using a respondent driven sampling design among key informants who are at least 18 years of age. 45 initial communities will be selected: 10 in Brazil, 10 in Ecuador and 25 in Peru. Participants will be recruited in each initial node and administered a survey to obtain data on each community's mobility patterns. Survey responses will be ranked and the 2-3 most connected communities will then be selected and surveyed. This process will be repeated for a third round of data collection. Community network matrices will be linked with each country's malaria surveillance system to test the effects of mobility on disease risk. ETHICS AND DISSEMINATION: This study protocol has been approved by the institutional review boards of Duke University (USA), Universidad San Francisco de Quito (Ecuador), Universidad Peruana Cayetano Heredia (Peru) and Universidade Federal Minas Gerais (Brazil). Results will be disseminated in communities by the end of the study.

Stability analysis of a SAIR epidemic model on scale-free community networks.

The presence of asymptomatic carriers, often unrecognized as infectious disease vectors, complicates epidemic management, particularly when inter-community migrations are involved. We introduced a SAIR (susceptible-asymptomatic-infected-recovered) infectious disease model within a network framework to explore the dynamics of disease transmission amid asymptomatic carriers. This model facilitated an in-depth analysis of outbreak control strategies in scenarios with active community migrations. Key contributions included determining the basic reproduction number, $ R_0 $, and analyzing two equilibrium states. Local asymptotic stability of the disease-free equilibrium is confirmed through characteristic equation analysis, while its global asymptotic stability is investigated using the decomposition theorem. Additionally, the global stability of the endemic equilibrium is established using the Lyapunov functional theory.

Caring for older adults with cancer in Canada: Views from healthcare providers and cancer care allies in the community.

BACKGROUND: Cancer is common and disproportionately impacts older adults. Moreover, cancer care of older adults is complex, and the current Canadian cancer care system struggles to address all of the dimensions. In this project, our goal was to understand the barriers and facilitators to caring for older adults with cancer from perspectives of healthcare professionals and cancer care allies, which included community groups, seniors' centers, and other community-based supports. METHODS: In collaboration with a patient advisory board, we conducted focus groups and interviews with multiple local healthcare professionals and cancer care allies in British Columbia, Canada. We used a descriptive qualitative approach and conducted a thematic analysis using NVivo software. RESULTS: A total of 71 participants of various disciplines and cancer care allies participated. They identified both individual and system-level barriers. Priority system-level barriers for older adults included space and staffing constraints and disconnections within healthcare systems, and between healthcare practitioners and cancer care allies. Individual-level barriers relate to the complex health states of older adults, caregiver/support person needs, and the needs of an increasingly diverse population where English may not be a first or preferable language. CONCLUSIONS: This study identified key barriers and facilitators that demonstrate aligned priorities among a diverse group of healthcare practitioners and cancer care allies. In conjunction with perspectives from patients and caregivers, these findings will inform future improvements in cancer care. Namely, we emphasize the importance of connections among health systems and community networks, given the outpatient nature of cancer care and the needs of older adults.

Regional patient transfer patterns matter for the spread of hospital-acquired pathogens.

Pathogens typically responsible for hospital-acquired infections (HAIs) constitute a major threat to healthcare systems worldwide. They spread via hospital (or hospital-community) networks by readmissions or patient transfers. Therefore, knowledge of these networks is essential to develop and test strategies to mitigate and control the HAI spread. Until now, no methods for comparing healthcare networks across different systems were proposed. Based on healthcare insurance data from four German federal states (Bavaria, Lower Saxony, Saxony and Thuringia), we constructed hospital networks and compared them in a systematic approach regarding population, hospital characteristics, and patient transfer patterns. Direct patient transfers between hospitals had only a limited impact on HAI spread. Whereas, with low colonization clearance rates, readmissions to the same hospitals posed the biggest transmission risk of all inter-hospital transfers. We then generated hospital-community networks, in which patients either stay in communities or in hospitals. We found that network characteristics affect the final prevalence and the time to reach it. However, depending on the characteristics of the pathogen (colonization clearance rate and transmission rate or even the relationship between transmission rate in hospitals and in the community), the studied networks performed differently. The differences were not large, but justify further studies.

Return to sender: Unraveling the role of structural and social network ties in patient sharing networks.

Healthcare is increasingly delivered through networks of organizations. Well-structured patient sharing networks are known to have positive associations with the quality of delivered services. However, the drivers of patient sharing relations are rarely studied explicitly. In line with recent developments in network and integration theorizing, we hypothesize that structural and social network ties between organizations are uniquely associated with a higher number of shared patients. We test these hypotheses using a Bayesian zero-dispersed Poisson regression model within the Additive and Multiplicative Effects Framework based on administrative claims data from 732,122 dermatological patients from the Netherlands in 2017. Our results indicate that 2.6% of all dermatological patients are shared and that the amount of shared patients is significantly associated with structural (i.e. emergency contracts) and social (i.e. shared physicians) ties between organizations, confirming our hypotheses. We also find some evidence that patients are shared with more capable organizations. Our findings highlight the role of relational ties in the way health services are delivered. At the same time, they also raise some potential anti-trust concerns.

A case study on variations in network structure and cross-sector alignment in two local systems serving pregnant and parenting women in recovery.

OBJECTIVE: To describe network structure and alignment across organizations in healthcare, public health, and social services sectors that serve pregnant and parenting women with substance use disorder (SUD) in an urban and a rural community. DATA SOURCES AND STUDY SETTINGS: Two community networks, one urban and one rural with each including a residential substance use treatment program, in Kentucky during 2021. STUDY DESIGN: Social network analysis measured system collaboration and cross-sector alignment between healthcare, public health, and social services organizations, applying the Framework for Aligning Sectors. To understand the alignment and structure of each network, we measured network density overall and between sectors, network centralization, and each organization's degree centrality and effective size. DATA COLLECTION/EXTRACTION METHODS: Computer-assisted telephone interviews were conducted to document alignment around shared purpose, data, financing, and governance. PRINCIPAL FINDINGS: On average, overall and cross-sector network densities in both communities were similar. However, alignment was highest for data sharing and financing in the urban community and for shared purpose and governance in the rural community. Cross-sector partnerships involving healthcare organizations were more prevalent in the rural county (44% vs. 38% for healthcare/public health, 44% vs. 29% for healthcare/social services), but more prevalent for those involving public health/social services organizations in the urban county (42% vs. 24%). A single healthcare organization had the highest degree centrality (Mdn [IQR] = 26 [26-9.5]) and effective size (Mdn [IQR] = 15.9 [20.6-8.7]) within the rural county. Social services organizations held more central positions in the urban county (degree centrality Mdn [IQR] = 13 [14.8-9.5]; effective size Mdn [IQR] = 10.4 [11.4-7.9]). CONCLUSIONS: Cross-sector alignment may strengthen local capacity for comprehensive SUD care for pregnant and parenting women. Healthcare organizations are key players in cross-sector partnerships in the rural community, where one healthcare facility holds the central brokerage role. In contrast, public health agencies are key to cross-sector collaboration with social services in the urban community.

Cattle grazing management affects soil microbial diversity and community network complexity in the Northern Great Plains.

Soil microbial communities play a vital role in the biogeochemical cycling and ecological functioning of grassland, but may be affected by common land uses such as cattle grazing. Changes in microbial diversity and network complexity can affect key ecosystem functions such as nutrient cycling. However, it is not well known how microbial diversity and network complexity respond to grazing in the Northern Great Plains. Consequently, it is important to understand whether variation in grazing management alters the diversity and complexity of grassland microbial communities. We compared the effect of intensive adaptive multi-paddock (AMP) grazing and conventional grazing practices on soil microbial communities using 16S/ITS amplicon sequencing. Samples were collected from grasslands in 13 AMP ranches and 13 neighboring, conventional ranches located across the Canadian prairies. We found that AMP grazing increased fungal diversity and evenness, and led to more complex microbial associations. Acidobacteria, Actinobacteria, Gemmatimonadetes, and Bacteroidetes were keystone taxa associated with AMP grazing, while Actinobacteria, Acidobacteria, Proteobacteria, and Armatimonadetes were keystone taxa under conventional grazing. Besides overall grazing treatment effects, specific grazing metrics like cattle stocking rate and rest-to-grazing ratio affected microbial richness and diversity. Bacterial and fungal richness increased with elevated stocking rate, and fungal richness and diversity increased directly with the rest-to-grazing ratio. These results suggest that AMP grazing may improve ecosystem by enhancing fungal diversity and increasing microbial network complexity and connectivity.

Lessons Learned Implementing a Trauma-informed System of Care in Rural Communities.

BACKGROUND: The negative impact of trauma on health is devastating. Providers, especially those in rural areas, require support to implement trauma-informed care (TIC) on a systems level. OBJECTIVES: This paper describes a partnership of county behavioral health administrators, service providers, and a behavioral health managed care organization and steps taken over a 5-year initiative to enhance capacity and quality of community services to meet the needs of individuals in a rural setting to receive TIC. METHODS: The initiative included trainings in evidence-based and best practices in TIC, improved trauma screening, development of TIC centers, and development of community-based networks for ongoing support. Lessons learned were summarized through discussions between partnership members. LESSONS LEARNED: Shared ownership, opportunity to build networks, and continuous assessment of organizational strengths resulted in successful implementation and sustained practice. Challenges included turnover among staff and organizations. CONCLUSIONS: Building a TIC network across a rural health care system can be successful with long-term support and investment from multiple stakeholders.

Evolutionary dynamics of N-player sender-receiver game in networks with community structure.

Network typology largely affects the evolutionary dynamics of collective behaviors in many real-world complex systems. As a conventional transmission model, the sender-receiver game paves the way to explore the evolution of honest signals between senders and receivers. In practice, the utilities of an agent often depend not only on pairwise interactions, but also on the group influence of players around them, and thus there is an urgent need for deeper theoretical modeling and investigations on individuals' non-pairwise interactions. Considering the underlying evolutionary game dynamics and multiple community network structures, we explore the evolution of honest behaviors by extending the sender-receiver game to multiple communities. With the new dynamical model of the multi-community system, we perform a stability analysis of the system equilibrium state. Our results reveal the condition to promote the evolution of honest behaviors and provide an effective method for enhancing collaboration behaviors in distributed complex systems. Current results help us to deeply understand how collective decision-making behaviors evolve, influenced by the spread of true information and misinformation in large dynamic systems.

[Health promoted by social and community networks of low-income women]. / A saúde promovida por redes sociais e comunitárias de mulheres de baixa renda.

Social and community networks constitute an important social determinant of health, especially in the poorer segments of civil society and in their struggles to guarantee the right to health care. This study sought to understand the social and community networks created by women living in a low-income community and their relationship with the development of health care in this social group. Semi-structured interviews were conducted with 11 women participating in a nongovernmental organization in the community, and the data were subjected to content analysis. The analysis highlighted four categories: the community as a large network, formed by multiple interconnected dynamic networks; the network of "aunts", women with an important role in the care of the community, treated as part of the family; the conversation circles, such as the rite of periodic meeting on the sidewalks, indicated as an important space that guarantees emotional stability and quality of life; and the benzedeiras with the use of medicinal plants, they are reference care within the community, providing disease prevention, health treatment, and referral to the health care unit when necessary. We concluded that the social and community networks created by the participants are important social determinants, and health facilities registered in the territory should value such networks.

As redes sociais e comunitárias constituem um importante determinante social de saúde, especialmente nos segmentos populares da sociedade civil e em suas lutas para garantir o direito à saúde. Esta pesquisa buscou compreender quais são as redes sociais e comunitárias constituídas por mulheres residentes em uma comunidade de baixa renda e sua relação com a produção da saúde nesse grupo social. Foram realizadas entrevistas semiestruturadas com 11 mulheres participantes de uma organização não governamental (ONG) da comunidade, e os dados foram submetidos à análise de conteúdo. A análise destacou quatro categorias: a comunidade como uma grande rede - formada por múltiplas redes dinâmicas interligadas; a rede das "tias" - mulheres com papel importante no cuidado da comunidade, tratadas como parte da família; as rodas de conversa - como o rito de encontro periódico nas calçadas, apontado como importante espaço garantidor de estabilidade emocional e qualidade de vida; e as benzedeiras e o uso de plantas medicinais - referências de cuidado na comunidade, que proporcionam prevenção/tratamento à saúde e encaminhamento para a unidade de saúde quando necessário. Conclui-se que as redes sociais e comunitárias formadas pelas participantes são determinantes sociais importantes. Assim, é necessária a valorização de tais redes pelos equipamentos de saúde inscritos no território.

Las redes sociales y comunitarias constituyen un importante determinante social de salud, especialmente en los segmentos populares de la sociedad civil y en sus luchas para garantizar el derecho a la salud. La presente investigación buscó comprender cuáles son las redes sociales y comunitarias tejidas por las mujeres residentes en una comunidad de bajos ingresos y su relación con la producción de la salud en este grupo social. Se realizaron entrevistas semiestructuradas con 11 mujeres participantes de una organización no gubernamental de la comunidad, y los datos se sometieron a análisis de contenido. El análisis destacó cuatro categorías: la comunidad como una gran red - formada por múltiples redes dinámicas interconectadas; la red de las "tías" - mujeres con papel importante en el cuidado de la comunidad, tratadas como parte de la familia; las ruedas de conversación - como el rito de encuentro periódico en las aceras, señalado como un espacio importante que garantiza la estabilidad emocional y la calidad de vida, y las curanderas y el uso de plantas medicinales - referencias de cuidado en la comunidad; que proporcionan prevención/tratamiento a la salud y el encaminamiento para la unidad de salud cuando sea necesario. Se concluye que las redes sociales y comunitarias tejidas por las participantes son determinantes sociales importantes, siendo necesaria la valorización de tales redes por los equipos de salud inscritos en el territorio.

Regional differences in water beetle communities networks settling in dystrophic lakes in northern Poland.

The relationships between the species that form the networks in small dystrophic lakes remain poorly recognised. To investigate and better understand the functioning of beetle communities in different ecosystems, we created three network models that we subjected to graph network analysis. This approach displays correlation-based networks of connections (edges) between objects (nodes) by evaluating the features of the whole network and the attributes of nodes and edges in the context of their roles, expressed by centrality metrics. We used this method to determine the importance of specific species in the networks and the interspecific relationships. Our analyses are based on faunal material collected from 25 dystrophic lakes in three regions of northern Poland. We found a total of 104 species representing different ecological elements and functional trophic groups. We have shown that the network of relationships between the biomass of species differs considerably in the three study regions. The Kashubian Lakeland had the highest cohesion and density, while the network in the Suwalki Lakeland was the thinnest and most heterogeneous, which might be related to the fractal structure and the degree of development of the studied lakes. Small-bodied predators that congregated in different clusters with species with similar ecological preferences dominated all networks. We found the highest correlations in the Masurian Lakeland, where we obtained the highest centralisation of the network. Small tyrphophiles typically occupied the central places in the network, while the periphery of the network consisted of clusters with different habitat preferences, including large predators. The species that were most important for network cohesion and density were mainly tyrphophilous species, such as Anacaena lutescens, Hygrotus decoratus, Enochrus melanocephalus and Hydroporus neglectus. The values of attributes determining the role of species in community networks were influenced by both biotic and environmental factors.

[Food autonomy initiatives as scenarios for community action in health based on assets]. / Iniciativas de autonomía alimentaria como escenarios para la acción comunitaria en salud basada en activos.

This paper presents the development of a territorial process of community action for health based on assets. Its objective was to generate concrete strategies to combat hunger and malnutrition in a working-class neighbourhood of the Colombian city of Tunja where there are significant gaps in terms of economic inequality and social fragmentation. Through the identification and dynamization of diverse initiatives of food autonomy, a community network was created which facilitated the collective use of their own resources, knowledge, and practices around the agri-food process. This promoted access to healthy and culturally accepted foods and a space where autonomy, organisation, participation, and cooperation among neighbours converged. The above shows the salutogenic potentiality of local actions in health and of approaching food in a participative way, something that we point out as a political-popular and academic proposal for the promotion of collective health.

A hierarchical intervention scheme based on epidemic severity in a community network.

As there are no targeted medicines or vaccines for newly emerging infectious diseases, isolation among communities (villages, cities, or countries) is one of the most effective intervention measures. As such, the number of intercommunity edges ([Formula: see text]) becomes one of the most important factor in isolating a place since it is closely related to normal life. Unfortunately, how [Formula: see text] affects epidemic spread is still poorly understood. In this paper, we quantitatively analyzed the impact of [Formula: see text] on infectious disease transmission by establishing a four-dimensional [Formula: see text] edge-based compartmental model with two communities. The basic reproduction number [Formula: see text] is explicitly obtained subject to [Formula: see text] [Formula: see text]. Furthermore, according to [Formula: see text] with zero [Formula: see text], epidemics spread could be classified into two cases. When [Formula: see text] for the case 2, epidemics occur with at least one of the reproduction numbers within communities greater than one, and otherwise when [Formula: see text] for case 1, both reproduction numbers within communities are less than one. Remarkably, in case 1, whether epidemics break out strongly depends on intercommunity edges. Then, the outbreak threshold in regard to [Formula: see text] is also explicitly obtained, below which epidemics vanish, and otherwise break out. The above two cases form a severity-based hierarchical intervention scheme for epidemics. It is then applied to the SARS outbreak in Singapore, verifying the validity of our scheme. In addition, the final size of the system is gained by demonstrating the existence of positive equilibrium in a four-dimensional coupled system. Theoretical results are also validated through numerical simulation in networks with the Poisson and Power law distributions, respectively. Our results provide a new insight into controlling epidemics.

Elucidating the potential effects of point mutations on FGFR3 inhibitor resistance via combined molecular dynamics simulation and community network analysis.

FGFR3 kinase mutations are associated with a variety of malignancies, but FGFR3 mutant inhibitors have rarely been studied. Furthermore, the mechanism of pan-FGFR inhibitors resistance caused by kinase domain mutations is still unclear. In this study, we try to explain the mechanism of drug resistance to FGFR3 mutation through global analysis and local analysis based on molecular dynamics simulation, binding free energy analysis, umbrella sampling and community network analysis. The results showed that FGFR3 mutations caused a decrease in the affinity between drugs and FGFR3 kinase, which was consistent with the reported experimental results. Possible mechanisms are that mutations affect drug-protein affinity by altering the environment of residues near the hinge region where the protein binds to the drug, or by affecting the A-loop and interfering with the allosteric communication networks. In conclusion, we systematically elucidated the underlying mechanism of pan-FGFR inhibitor resistance caused by FGFR3 mutation based on molecular dynamics simulation strategy, which provided theoretical guidance for the development of FGFR3 mutant kinase inhibitors.

Improving biomarker testing in advanced non-small-cell lung cancer and metastatic colorectal cancer: experience from a large community oncology network in the USA.

Aim: Biomarker testing detects actionable driver mutations to inform first-line treatment in advanced non-small-cell lung cancer (aNSCLC) and metastatic colorectal cancer (mCRC). This study evaluated biomarker testing in a nationwide database (NAT) versus the OneOncology (OneOnc) community network. Patients & methods: Patients with aNSCLC or mCRC with ≥1 biomarker test in a de-identified electronic health record-derived database were evaluated. OneOnc oncologists were surveyed. Results: Biomarker testing rates were high and comparable between OneOnc and NAT; next-generation sequencing (NGS) rates were higher at OneOnc. Patients with NGS versus other biomarker testing were more likely to receive targeted treatment. Operational challenges and insufficient tissue were barriers to NGS testing. Conclusion: Community cancer centers delivered personalized healthcare through biomarker testing.

What is this article about? Cancer therapies often work better in certain subgroups of patients. Tumors may have characteristics that can predict which therapies may be more likely to work. These cancer biomarkers may be identified by special testing, such as next-generation sequencing (NGS). If a biomarker is detected, the patient can potentially be treated with medicine that targets that biomarker. This study looked at biomarker testing of lung and colon cancers in two community cancer practices (OneOncology [OneOnc] and nationwide database [NAT]). What were the results? The biomarker testing rates were high (≥81%) and similar between OneOnc and NAT. NGS testing rates were higher at OneOnc than at NAT (58 vs 49% for non-small-cell lung cancer, 55 vs 42% for metastatic colorectal cancer [mCRC]), suggesting the success of OneOnc's networkwide educational, pathway and operational programs. NGS testing was lower in community practices due to operational challenges and insufficient tissue collection. Patients who had NGS versus other biomarker testing were more likely to receive treatment specifically for that biomarker. However, some patients started treatment before their biomarker results were reported, usually because of their disease and a long wait time for biomarker test results. What do the results of the study mean? Community cancer centers can treat patients with targeted medicine based on biomarker testing results. There are opportunities to increase the number of patients getting NGS testing, shorten turnaround times and reduce the number of patients who start treatment before getting their biomarker test results.

Development and Implementation of Diabetes Care by a Community Network Based on a Chronic Care Model.

INTRODUCTION: This participatory action research was conducted by the collaborative health-related team in a district, in Thailand. The community network jointly developed a care model for diabetic patients in primary care using the Chronic Care Model (CCM) and evaluated the effectiveness of implemented model. METHODS: Data was collected between October 2021 and March 2022 and involved 2 groups: 1) a community network of 25 people including representatives of the community hospital, primary care hospital, Sub-district administrative organization, community leaders, community representatives, representatives of diabetic patients, and representatives of caregivers of diabetic patients, and 2) 41 people with type 2 diabetes and 41 of their family caregivers. The research was conducted in 4 stages: planning, action, observation, and reflection. RESULTS: Both quantitative and qualitative data were collected, and the overall average knowledge scores of diabetic patients, family caregivers, and community representatives significantly increased from before (6.07 ± 2.11, 7.07 ± 1.98, P = .024, 5.74 ± 1.88, 7.37 ± 2.25, P < .001, 7.47 ± 2.44, 8.99 ± 1.72, P = .010) respectively. For satisfaction, diabetic patients were most satisfied with family caregiver support, while the community network representatives were most satisfied with their participation in planning a model for diabetic patients in primary care. After model implementation, the blood sugar-controlled patients (HbA1c < 7 mg%) significantly increased (0 and 9.76%, P = .045), although the fasting blood sugar (FBS) of diabetic patients did not improve. CONCLUSION: The development and implementation of diabetes care based on CCM, promoted community participation and involvement in diabetes care. This model mainly affected diabetic patients who could control their HbA1c level and the satisfaction of the community network.

Epidemiological intelligence community network intervention: a community response for COVID-19 community transmission.

BACKGROUND: Expanding and providing access to early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through testing community-based strategies among socially vulnerable communities (SVC) are critical to reducing health disparities. The Epidemiological Intelligence Community Network (EpI-Net) community-based intervention sought to increase coronavirus 2019 (COVID-19) testing uptake and prevention practices among SVC in Puerto Rico (PR). We evaluated EpI-Net's community leaders' capacity-building component by assessing pre-post COVID-19 public health workshops' tests' score changes and satisfaction among trained community leaders. METHODS: A total of 24 community leaders from SVC in PR have completed four community workshops. Pre- and post-assessments were completed as part of the health promotors training program to evaluate participants' tests score changes and satisfaction outcomes. RESULTS: Preliminary results showed: (1) high intervention retention levels of community leaders (85.7% acceptance rate); (2) change in post-test scores for community engagement strategies (p = 0.012); (3) change in post-test educational scores in COVID-19 prevention practices (p = 0.014); and (4) a change in scores in public health emergency management strategies (p < 0.001). CONCLUSIONS: The overall workshop satisfaction was 99.6%. Community leaders have shown the importance of community capacity building as a key component for intervention feasibility and impact. TRIAL REGISTRATION: Our study was retrospectively registered under the ClinicalTrial.gov ID NCT04910542.