Effective Public Health Research Articles

Effective Public Health Assessment: Research on Alzheimer Disease Diagnosis Model With Communication Technology

Rapid identification and appropriate management of Alzheimer's pose important challenges, particularly within public health contexts. This research introduces a unique framework for diagnosing Alzheimer's disease using communication technologies (such as wearable sensors). Novel chimp search-driven ReLu recurrent network (CS-RRN) strategy is introduced in this study for effectively detecting Alzheimer's disease. The ReLu function is employed in long/short-term memory (LSTM) to learn nonlinear dependencies, and then the chimp optimization strategy is applied to enhance the detection performance of the LSTM network. The gait signal data is collected from various wearable sensor devices to analyze the effectiveness of the suggested CS-RRN m technique. The performance of the proposed method is analyzed through a Python-driven implementation platform in terms of various metrics. The CS-RRN approach effectively achieved the maximum performance in detecting Alzheimer's disease when compared with other existing approaches. Based on the findings of this research, communication technology may substantially boost public health by providing a low-cost and high-performing method for Alzheimer disease identification.

Prediction of Drinking Water Quality for Effective Public Health Management to Avoid Water Borne Diseases

The issue of water quality failure is a persistent global concern that leads to sickness, toxicity, the spread of diseases, and loss of life in metropolitan areas. Various physical, functional, and ecological factors may affect drinking water quality. These concerns include the incursion of pollutants into water pipes, leakage, the formation of disinfectant waste products, the penetration of chemicals or microbes, and pollution. Water-borne Diseases (WD) have emerged as a significant global public health issue. It is imperative to forecast the quality of drinkable water by utilizing an automated model that provides a preventive strategy that may be created to enhance public health management (PHM). This study forecasted the Drinking Water Quality (DWQ) to promote Public Health Management (PHM) strategies to prevent WD. Convolutional Neural Network (CNN) with Inverse Distance Loaded (IDL) interpolation has been used to forecast DWQ. One hundred five water specimens from the research region underwent thorough examination via physiochemical and microbiological analyses. The tested characteristics were pH, turbidity, temperature, fluoride concentration levels, and bacterial counts (Faecal Coliforms) to prevent WD. The test findings indicated that the CNN-IDL projected 35% of water specimens from the domestic pipeline network had bacteria levels below what the WHO considers acceptable. Also, about 57% of the samples from the home pipeline network met the fluoride reference values set by the WHO. The sanitary assessment rating clearly showed that the lack of appropriate measures to protect against multiple barriers resulted in declining water quality for users. The findings of this research will be valuable to administrators in implementing essential strategies to avoid WD before it significantly impacts public health.

Impact of Climate Change on Human Lactation: Biological, Socioeconomic, and Public Health Implications

Global climate change poses significant challenges to human health and nutrition, particularly affecting lactating individuals and their infants. This review examines the impact of climate change on lactation, focusing on physiological, socioeconomic, and public health implications. Rising temperatures and heat stress can reduce milk production and alter milk composition, while malnutrition and water scarcity exacerbate these effects. Vulnerable populations face heightened risks, emphasizing the need for targeted mitigation strategies. Recommendations include enhancing nutritional support, securing water supplies, reducing environmental toxin exposure, and integrating lactation considerations into climate policies. Employing a social-ecological lens, this review underscores the necessity of a holistic approach to support lactating individuals in a warming world. Future research should explore the complex interactions between climate stressors and lactation to develop effective public health interventions.

Seroprevalence of small ruminant brucellosis and owners knowledge, attitude and practices in Chiro and Burka Dhintu Districts, West Hararghe, Ethiopia

Brucellosis is one of zoonotic bacterial diseases with significant veterinary and public health consequences in sub-Saharan African countries, including Ethiopia. A cross-sectional study design was conducted with the objective of estimating the seroprevalence of small ruminant brucellosis and assessing owners' knowledge, attitude and practices (KAP) on brucellosis in Chiro and Burka Dhintu Districts in Eastern Ethiopia. A total sample of 444 animals were taken using a cluster based multistage sampling technique. Screening for Brucella antibodies and confirmation of positive test results were conducted using Modified Rose Bengal Plate Test (MRBPT) and indirect enzyme-linked immunosorbent assay (I-ELISA) respectively. For the questionnaire survey, 444 randomly selected sheep and goat owners were interviewed using a pretested structured questionnaire. The overall seroprevalence of small ruminant brucellosis was found to be 6.5 % (95 % CI: 4.6–9.3). The multivariable logistic regression analysis identified sex and age as potential risk factors (P < 0.05). More specifically, females were 3.4 times (AOR = 3.4, 95 % CI: 1.2–9.2) more likely to become seropositive than their counterparts, and the odds of seropositivity in adult sheep and goats was 5.6 times (AOR = 5.6, 95 % CI: 1.3–24.7) higher than that of young animals. The knowledge, attitude and practices of animal owners with regard to brucellosis were low, and the level of education was independently associated with the owners’ knowledge and attitude. Moderate seroprevalence, combined with inadequate knowledge, attitudes, and practices of animal owners, makes small ruminant brucellosis a threat to animals and the entire community. Hence, strengthening veterinary services and raising community awareness about the disease is essential to reduce the impact on small ruminant productivity and minimize the risks to public health.

Environmental Health Assessment by Local Environmental Justice Experts for Evidence-based Decision-making in an Agricultural Community of Northern California.

Environmental justice research driven by academics and policymakers often overlooks the valuable insights and leadership of the communities most impacted by environmental hazards. When institution-led research approaches are employed, inadequate community ownership and limited institutional accountability hinder the effectiveness of environmental public health interventions. In contrast, a community-owned and -managed approach to environmental justice research can guide community members in developing evidence-based interventions. This paper outlines a community-led environmental health assessment survey (sample= 100) and resulting community actions over six years (2017 to 2023) in a Northern California farmworker community with a perceived high prevalence of cancer and exposure to environmental hazards in households, neighborhoods, and job sites. Local resident experts in Knights Landing, CA, documented community risk factors and exposures in collaboration with interdisciplinary undergraduate and graduate student-researchers. The survey instrument focused on environmental hazards identified by local resident experts including vehicular and agricultural pollution, occupational pesticide contact, and sun exposure. Survey findings highlighted the need for targeted interventions to reduce environmental health risks, such as academic outreach programs, county investments in public services, and community-led mutual aid initiatives. Despite academic reservations about our non-random sampling method and data collection by local resident experts, our project sparked substantial actions and investments with minimal personnel and financial resources. Local leaders working with student-researchers developed more effective environmental public health interventions through a community-owned and -managed approach that went beyond the efforts of local regulatory and research institutions.

Wars and the search for a safer world. The role of healthcare.

Wars destroy human rights, promoting violence as a means to resolve conflicts and cause profound direct and indirect health consequences for people. As important as it is that healthcare does not enter into the merits of the responsibilities for wars, it is equally important that healthcare places itself, in principle, in opposition to war. Despite the enormous impacts of wars and armed conflicts, global public health is poorly prepared to mitigate the threats of wars and armed conflicts. The tragedies, challenges and public health consequences of war are often overlooked and do not receive adequate attention from the international community. Healthcare should globally recognize wars and armed conflicts as a public health emergency and provide the required level of attention. Public health professionals should be aware of the impacts of wars, represent a single voice and coordinate in concerted efforts globally to stand in solidarity, without any discrimination, with conflict-affected communities by understanding their critical needs. Together we can be the voice that says "stop", striving to build a safer world for all.

Crimes Against Food: Characteristics, Health Risk, and Regulations

ABSTRACTFood safety is paramount for human life as it prevents foodborne illnesses, protects public health, supports economic growth, and ensures compliance with regulatory standards. However, in recent years, various incidents of crimes against food and their significant public health consequences have been observed, seriously damaging consumer confidence. This article explores the emerging scientific discipline of food safety, which focuses on assessing the health status of food and ensuring that it is safe for consumption. It provides a thorough analysis of crimes committed against the food industry and the regulatory measures implemented to safeguard both the industry and consumers. Regulatory requirements and competent bodies play a crucial role in ensuring compliance and maintaining consumer confidence. However, challenges such as adulteration, lack of consistent definitions, and dispersion in food inspection supervision still persist. Addressing these challenges requires a comprehensive approach, including consistent guidelines, improved communication, and enhanced employee training. Additionally, there is a need for guidelines and legislation regulating the development and validation of nontargeted methods for quality control in the food sector. By addressing these issues, we can further enhance the food safety practices and protect the health of individuals and communities.

Rural healthcare workers' well-being: A systematic review of support interventions.

Although there is increased awareness about healthcare workers' (HCWs') stress and burnout after the COVID-19 pandemic, support interventions should be tailored according to the needs of HCWs. Given the unique challenges rural HCWs face, we sought to systematically identify the types of interventions specifically designed and utilized to support the well-being of HCWs practicing in rural settings. We conducted a comprehensive search of the existing literature through electronic databases to identify quantitative, qualitative, and mixed-methods studies describing supportive interventions for rural HCWs with well-being-related outcomes between January 1, 2023 and March 31, 2023. We used the Effective Public Health Practice Project, Mixed Methods Assessment Tool, and Joanna Briggs Institute Critical Appraisal Checklist to evaluate the study quality. Out of 1,583 identified records, 25 studies were included in the analysis. The studies described a wide range of supportive interventions and outcomes. The overall quality of the studies was weak to moderate. None of the studies were randomized and only six included controls. Included interventions were generally well- accepted. Quantitative and qualitative themes identified shared decision making, effective supervision, and proactive cultural change as promising interventions that warrant further exploration. Financial interventions alone were not effective. Most of the studies were either unfunded or were funded internally by the institutions. There is limited research in support interventions for rural HCWs. Larger, well-designed studies are needed to explore promising interventions to promote well-being of rural healthcare workforce. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

From Atmosphere to Health Outcomes: Analyzing Predictors of Respiratory Disease Mortality in Turkiye

ABSTRACTBackgroundAsthma, chronic obstructive pulmonary disease (COPD), and pneumonia are significant contributors to morbidity and mortality worldwide. Identifying the predictors of mortality due to these diseases is crucial for effective public health interventions.MethodsWe conducted a longitudinal trajectory modeling using SAS TRAJ procedures on data from 81 provinces in Turkiye, categorizing death rates into two profiles for asthma and COPD and three for pneumonia. Environmental and socioeconomic factors were examined as potential predictors through logistic regression modeling.ResultsFor asthma, none of the predictors met the false discovery rate (FDR) threshold for significance, suggesting the need for further research. In contrast, COPD predictors showed robust associations with mortality rates, particularly concerning environmental factors such as humidity and temperature. Pneumonia mortality was significantly associated with factors, including air pressure, humidity, temperature, alcohol use, and particulate matter.ConclusionThe study reveals distinct mortality profiles for respiratory diseases and highlights the importance of environmental and lifestyle factors as predictors. These findings emphasize the need for targeted public health strategies and interventions to manage these diseases effectively.

Physical therapy registries worldwide: A systematic review.

Nowadays, the demand for physical therapy services has grown significantly over the last few decades due to an aging population, a rise in chronic conditions, and increased awareness of the benefits of physical therapy for injury recovery and managing various health issues. Collecting and managing data from physical therapy services is highly significant and beneficial. One of the information management systems that facilitates data collection related to physical therapy services is a physical therapy registry. In this systematic review, we aimed to identify physical therapy registries worldwide and examine the characteristics and data elements of each registry. PubMed, Scopus, Web of Science, and IEEE databases were searched from inception until March 19, 2023 by using keywords and Medical Subject Headings (MeSH) terms regarding "registries" and "physical therapy." The criteria for inclusion in the study were: (1) studies with the English language; (2) original studies, and online access to the physical therapy registry is available; (3) full-text available; (4) studies related to the aims of the study, and (5) studies that have sufficient available information regarding the minimum datasets and other characteristics physical therapy registry. The methodological quality of the included studies was independently assessed by two reviewers using the Effective Public Health Practice Project's (EPHPP) quality assessment tool. Sixteen studies were eligible to be included. The findings of this review indicated that the oldest physical therapy registry was established in 1992, while the newest one was established in 2017. The USA has the highest number of physical therapy registries (n = 7). Ten registries were funded by the government, and the data source for most registries was collected in clinics (n = 11). The geographical coverage of 10 registries was national. All registries collected administrative data (such as sociodemographic data, healthcare provider's data, and others) and clinical data (such as diagnosis, type of physical therapy intervention, pain location, comorbidities, and others) through web-based systems. The data collection method in half of the registries was retrospective (n = 8 out of 16). According to the EPHPP quality assessment tool, 11 studies (73%) were rated as moderate, 3 (20%) as weak, and 1 (7%) as strong. This systematic review found that most developed countries have implemented web-based physical therapy registries to collect administrative and clinical data at the national level. It is recommended that developing countries design and implement similar registries based on these characteristics and extracted data elements. Additionally, these registries should be designed to enable data sharing and interoperability with other international health information systems.

Spatial and Temporal Patterns of Chronic Disease Burden in the U.S., 2018–2021

Chronic diseases are primary causes of mortality and disability in the U.S. Although individual-level indices to assess the burden of multiple chronic diseases exist, there is a lack of quantitative tools at the population level. This gap hinders the understanding of the geographical distribution and impact of chronic diseases, crucial for effective public health strategies. This study aims to construct a Chronic Disease Burden Index (CDBI) for evaluating county-level disease burden, to identify geographic and temporal patterns, and investigate the association between CDBI and social vulnerability. A total of 20 health measures from CDC's PLACES database (2018-2021) were used to construct annual county-level CDBIs through principal component analysis. Geographic hotspots of chronic disease burden were identified using Getis-Ord Gi*. Multinomial logistic regression models and bivariate maps were used to assess the association between CDBI and CDC's social vulnerability index. Analyses were conducted in 2023-2024. Counties with high chronic disease burden were predominantly clustered in the southern U.S. High persistent chronic disease burden was prevalent in Kentucky and West Virginia, while increased burden was observed in Ohio and Texas. Chronic disease burden was highly associated with social vulnerability index (ORQ5 vs Q1=7.6, 95% CI: [6.6, 8.8]), with nonmetro-urban counties experiencing elevated CDBI (OR=14.6, 95% CI: [9.7, 21.9]). The CDBI offers an effective tool for assessing chronic disease burden at the population level. Identifying high-burden and vulnerable communities is a crucial first step toward facilitating resource allocation to enhance equitable healthcare access and advancing understanding of health disparities.

Sex disparities in gallstone disease: insights from the MAUCO prospective population-based cohort study

ObjectiveTo investigate factors associated with the prevalence and incidence of gallstone disease (GSD) in women and men of the MAUCO population-based prospective cohort.Design8948 MAUCO participants (aged 38–74 years) underwent abdominal...

Sex Disparities in Ischemic Heart Disease Mortality in Europe

BackgroundIschemic heart disease (IHD) is the leading cause of death in the European Union (EU). Understanding variations by sex, income, and countries can help in tailoring effective public health policies. ObjectivesThe purpose of the study was to examine trends in sex differences in IHD prevalence and prognosis within the EU. MethodsWe conducted a cross-sectional analysis of IHD using the Global Burden of Disease Study Database to examine trends in sex-specific age-standardized mortality rate (ASMR)-to-age-standardized prevalence rate (ASPR) ratio (ASMR-to-ASPR index) per 100,000 inhabitants/year across the EU from 2005 to 2019. ResultsMen showed higher ASMR than women. However, the ASMR-to-ASPR index was notably higher in women than in men indicating that women who develop IHD have a higher risk of dying from the disease compared with their male counterparts. Despite a significant decline in ASMR across EU from 2005 to 2019 both among women (from 1.752 to 1.662) and men (from 3.372 to 3.135), sex disparities in ASMR-to-ASPR index (EU average: 4.96% vs 4.34%) persisted (with a women-to-men ratio ranging from 1.05 to 1.44). No significant relationship was found between country-specific ASMR or country income status and ASMR-to-ASPR index. Examples include Romania, which displayed higher ASMR (men: 219.87, women: 143.54) compared with Germany (men: 107.22, women: 60.76), yet with smaller differences in ASMR-to-ASPR index between women and men (Romania: 6.54% vs 5.85%; ratio: 1.12, and Germany: 4.79% vs 3.80%; ratio: 1.26). ConclusionsMortality from IHD has decreased substantially among EU countries. However, the declines were accompanied by a persistently higher ASMR-to-ASPR index in women, indicating significant potential for further gains in closing the gender gap in IHD mortality.

P021 PROPORTION AND GEOGRAPHIC DISTRIBUTION OF HYPERTENSION PATIENTS AND THEIR ASSOCIATED SOCIODEMOGRAPHIC FACTORS IN COLOMBIA, 2019-2023

Background and Objectives: A substantial underreporting of hypertension data in Colombia has been documented, with a lack of recent updates. Access to updated data is crucial for planning effective public health interventions in our country. We aimed to determine both the proportion and the geographic distribution of patients with hypertension in Colombia, along with their associated demographic and regional factors Methods: We conducted a descriptive, cross-sectional, observational study. Data on the frequency and geographic distribution of individuals diagnosed with hypertension from 2019 to 2023 were collected, along with sociodemographic characteristics like age, gender, and socioeconomic status. These data were extracted from the SISPRO platform based on diagnoses coded according to the International Statistical Classification of Diseases and Related Health Problems (ICD-10). Results: During the study period, we identified a hypertension prevalence of 12.86% (6,719,193 individuals) across Colombia. Regionally, Bogotá D.C. and Antioquia reported the highest proportion of hypertension—19.21% (1,290,882 people) and 16.15% (1,085,420 people), respectively. Conversely, the lowest rates were found in Vaupés (0.01%, corresponding to 960 people) and Guainía (0.02%, corresponding to 1,592 people). The prevalence was significantly higher in females (60,80%) compared to males (39,20%). Additionally, the highest prevalence was found among individuals aged 55 to 74, accounting for 69,67% of cases. The highest frequency of diagnosis was noted in the contributory regime (68.95%), with the lowest in displaced persons, irrespective of their insurance status (0.33%). Conclusions: The prevalence of hypertension is notably higher in Colombia's major urban centers, while significantly lower in remote regions and among vulnerable populations, suggesting significant underreporting. This underreporting likely results in untreated conditions and increased future health complications. It is imperative to develop strategies to enhance the recording and diagnosis of hypertension in Colombia, particularly in remote and vulnerable groups.

Investigating Modifiable Risk Factors Across Dementia Subtypes: Insights from the UK Biobank.

This study investigates the relationship between modifiable risk factors and dementia subtypes using data from 460,799 participants in the UK Biobank. Utilizing univariate Cox proportional hazards regression models, we examined the associations between 83 modifiable risk factors and the risks of all-cause dementia (ACD), Alzheimer's disease (AD), and vascular dementia (VD). Composite scores for different domains were generated by aggregating risk factors associated with ACD, AD, and VD, respectively, and their joint associations were assessed in multivariable Cox models. Additionally, population attributable fractions (PAF) were utilized to estimate the potential impact of eliminating adverse characteristics of the risk domains. Our findings revealed that an unfavorable medical history significantly increased the risk of ACD, AD, and VD (hazard ratios (HR) = 1.88, 95% confidence interval (95% CI): 1.74-2.03, p < 0.001; HR = 1.80, 95% CI: 1.54-2.10, p < 0.001; HR = 2.39, 95% CI: 2.10-2.71, p < 0.001, respectively). Blood markers (PAF = 12.1%; 17.4%) emerged as the most important risk domain for preventing ACD and VD, while psychiatric factors (PAF = 18.3%) were the most important for preventing AD. This study underscores the potential for preventing dementia and its subtypes through targeted interventions for modifiable risk factors. The distinct insights provided by HR and PAF emphasize the importance of considering both the strength of the associations and the population-level impact of dementia prevention strategies. Our research provides valuable guidance for developing effective public health interventions aimed at reducing the burden of dementia, representing a significant advancement in the field.

Examining the factors that impact the severity of cyberattacks on critical infrastructures

In light of the rising threats of cyberattacks on critical infrastructures, cybersecurity has become a high priority for government agencies worldwide. In particular, the severity of cyberattacks could lead to devastating consequences for national security, economic growth, and public health and safety. While earlier studies have examined several factors related to detecting, preventing, and predicting cyberattacks on critical infrastructures, they have largely neglected to consider the severity aspect of these attacks. This study aims to bridge this research gap by examining the factors that influence the severity of cyberattacks on critical infrastructures. To achieve this, we analyze 897 reported attacks on critical infrastructures to examine the impact of incident type, ransomware, zero-day vulnerability, attacker type, conflict type, initial access vector, and the number of targeted countries on the severity of these cyberattacks. The results show that cyberattacks employing ransomware and initiated by nation-state actors have the most impact on severity. On the contrary, cyberattacks that include data theft, disruption, hijacking with or without misuse, involve multiple types of conflict, and target the energy and finance sectors have the least impact on the severity of attacks. To gain further insight into these results, we perform sub-analyses on the metrics that makeup severity. Findings show that cyberattacks on the health sector are more vulnerable to data theft of sensitive information compared to other sectors. Also, nation-state-led attacks are more likely to involve data theft of sensitive information and long-term disruptions. Finally, as years progress, the results generally indicate a decreasing likelihood of attacks involving data theft of sensitive information and hijacking with misuse.

Characterizing human respiratory syncytial virus among children admitted with acute respiratory tract infections from 2019 to 2022.

Respiratory syncytial virus is a major causative agent of lower respiratory tract infection in children, especially infants with substantial morbidity and mortality implications. The virus undergoes continuous evolution documented by accumulation of mutations in the glycoprotein gene necessitating vigilant surveillance to provide essential data to epidemiologists and researchers involved in development of vaccines. This study was aimed to perform molecular characterization of respiratory syncytial virus (RSV) among children ≤ 5 years admitted in hospital. In the current study we observed RSV-A (2019 (n = 95) and 2021 (n = 61) seasons) and RSV-B (2022 season (n = 68)). Phylogenetic analysis revealed all RSV-A strains (n = 47) to be GA.2.3.5 and RSV-B (n = 22) were classified as GB.5.0.5a. Selection pressure analysis identified one positive (P274L/V) and one negative site (P230T) in RSV-A, while in RSV-B there was only one negatively selected site (S295). This study spanning over three seasons contributes to RSV evolutionary dynamics in India emphasizing the importance of on-going surveillance to inform effective public health strategies and vaccine development efforts.

‘I’ve just heard that there are people who feel like they need to exercise’: a photo-elicitation study of values and priorities influencing physical activity in a socioeconomically disadvantaged neighbourhood in Uppsala, Sweden

ObjectivePeople living in socioeconomically disadvantaged neighbourhoods in Sweden engage less in physical activity compared with the general population, contributing to an elevated risk of cardiometabolic diseases. To inform targeted and...

A functional genomic framework to elucidate novel causal metabolic dysfunction-associated fatty liver disease genes.

Metabolic dysfunction-associated fatty liver disease (MASLD) is the most prevalent chronic liver pathology in western countries, with serious public health consequences. Efforts to identify causal genes for MASLD have been hampered by the relative paucity of human data from gold-standard magnetic resonance quantification of hepatic fat. To overcome insufficient sample size, genome-wide association studies using MASLD surrogate phenotypes have been used, but only a small number of loci have been identified to date. In this study, we combined GWAS of MASLD composite surrogate phenotypes with genetic colocalization studies followed by functional in vitro screens to identify bona fide causal genes for MASLD. We used the UK Biobank to explore the associations of our novel MASLD score, and genetic colocalization to prioritize putative causal genes for in vitro validation. We created a functional genomic framework to study MASLD genes in vitro using CRISPRi. Our data identify VKORC1, TNKS, LYPLAL1 and GPAM as regulators of lipid accumulation in hepatocytes and suggest the involvement of VKORC1 in the lipid storage related to the development of MASLD. Complementary genetic and genomic approaches are useful for the identification of MASLD genes. Our data supports VKORC1 as a bona fide MASLD gene. We have established a functional genomic framework to study at scale putative novel MASLD genes from human genetic association studies.

"It spreads like wildfire": mothers' gatherings for vaccine acceptance.

This case study describes the design, implementation, and evaluation of an initiative to increase COVID-19 vaccine confidence and uptake among refugee and immigrant women in Clarkston, Georgia. Applying the principles and practices of human-centered design, Mothers x Mothers was co-created by Refugee Women's Network and IDEO.org as a series of gatherings for refugee and immigrant mothers to discuss health issues, beginning with the COVID-19 vaccine. The gatherings included both vaccinated and unvaccinated mothers and used a peer support model, with facilitation focused on creating a trusting environment and supporting mothers to make their own health decisions. The facilitators for Mothers x Mothers gatherings were community health workers (CHWs) recruited and trained by Refugee Women's Network. Notably, these CHWs were active in every phase of the initiative, from design to implementation to evaluation, and the CHWs' professional development was specifically included among the initiative's goals. These elements and others contributed to an effective public health intervention for community members who, for a variety of reasons, did not get sufficient or appropriate COVID-19 vaccine information through other channels. Over the course of 8 Mothers x Mothers gatherings with 7 distinct linguistic/ethnic groups, 75% of the unvaccinated participants decided to get the COVID-19 vaccine and secured a vaccine referral.