Digital Point Solutions for Extending Contact Tracing Capacity.

BACKGROUND: Initial COVID-19 surges in the United States created a need for technology to supplement human resources to increase efficiency and efficacy. METHODS: Resolve to Save Lives worked with jurisdictions to co-design four technology solutions-Epi Viaduct data pipeline, Epi Contacts contact elicitation webform, Epi Locator contact information search plugin, and Epi Viewpoint case management system (CMS)-to expand the capacity of case investigation and contact tracing (CI/CT) teams. We assessed impact on reducing CI/CT time intervals for COVID-19 using product data and user feedback. RESULTS: Epi Viaduct accelerated the transfer of approximately 7,400,000 records from an electronic laboratory reporting system in a single jurisdiction to the respective CMS from more than 2.5 hours to less than 1 minute and reduced time to remove duplicate laboratory results from multiple days to less than 6 hours. Epi Contacts focused on increasing the efficacy of contact elicitation, and during a single period, 10% of index cases (9,440 of 96,319) completed Epi Contacts for a total of approximately 18,700 contacts elicited. User interviews indicated the tool increased speed of CI/CT workflows. In total, 134,410 searches were run in Epi Locator by 7320 distinct users-75% of which returned 1 or more person matches. A simple CMS, Epi Viewpoint, was developed and completed, but not deployed. CONCLUSIONS: Systems to mount large-scale population-based contact tracing programs were developed and implemented during the COVID-19 pandemic and can be adapted for CI/CT programs aiming to control the spread of other communicable diseases such as sexually transmitted diseases.

Spatial and temporal dynamics of superspreading events in the 2014-2015 West Africa Ebola epidemic.

The unprecedented scale of the Ebola outbreak in Western Africa (2014-2015) has prompted an explosion of efforts to understand the transmission dynamics of the virus and to analyze the performance of possible containment strategies. Models have focused primarily on the reproductive numbers of the disease that represent the average number of secondary infections produced by a random infectious individual. However, these population-level estimates may conflate important systematic variation in the number of cases generated by infected individuals, particularly found in spatially localized transmission and superspreading events. Although superspreading features prominently in first-hand narratives of Ebola transmission, its dynamics have not been systematically characterized, hindering refinements of future epidemic predictions and explorations of targeted interventions. We used Bayesian model inference to integrate individual-level spatial information with other epidemiological data of community-based (undetected within clinical-care systems) cases and to explicitly infer distribution of the cases generated by each infected individual. Our results show that superspreaders play a key role in sustaining onward transmission of the epidemic, and they are responsible for a significant proportion ([Formula: see text]61%) of the infections. Our results also suggest age as a key demographic predictor for superspreading. We also show that community-based cases may have progressed more rapidly than those notified within clinical-care systems, and most transmission events occurred in a relatively short distance (with median value of 2.51 km). Our results stress the importance of characterizing superspreading of Ebola, enhance our current understanding of its spatiotemporal dynamics, and highlight the potential importance of targeted control measures.

A mechanistic spatio-temporal framework for modelling individual-to-individual transmission-With an application to the 2014-2015 West Africa Ebola outbreak.

In recent years there has been growing availability of individual-level spatio-temporal disease data, particularly due to the use of modern communicating devices with GPS tracking functionality. These detailed data have been proven useful for inferring disease transmission to a more refined level than previously. However, there remains a lack of statistically sound frameworks to model the underlying transmission dynamic in a mechanistic manner. Such a development is particularly crucial for enabling a general epidemic predictive framework at the individual level. In this paper we propose a new statistical framework for mechanistically modelling individual-to-individual disease transmission in a landscape with heterogeneous population density. Our methodology is first tested using simulated datasets, validating our inferential machinery. The methodology is subsequently applied to data that describes a regional Ebola outbreak in Western Africa (2014-2015). Our results show that the methods are able to obtain estimates of key epidemiological parameters that are broadly consistent with the literature, while revealing a significantly shorter distance of transmission. More importantly, in contrast to existing approaches, we are able to perform a more general model prediction that takes into account the susceptible population. Finally, our results show that, given reasonable scenarios, the framework can be an effective surrogate for susceptible-explicit individual models which are often computationally challenging.

Preparing for Pandemics and Other Health Threats: Societal Approaches to Protect and Improve Health.

This Viewpoint discusses 3 areas in need of progress regarding societal approaches to pandemics and other health threats: a renaissance in public health; robustness of primary health care; and resilience of individuals and communities, with higher levels of trust in government and society.

The road to achieving epidemic-ready primary health care.

Millions of avoidable deaths arising from the COVID-19 pandemic emphasise the need for epidemic-ready primary health care aligned with public health to identify and stop outbreaks, maintain essential services during disruptions, strengthen population resilience, and ensure health worker and patient safety. The improvement in health security from epidemic-ready primary health care is a strong argument for increased political support and can expand primary health-care capacities to improve detection, vaccination, treatment, and coordination with public health-needs that became more apparent during the pandemic. Progress towards epidemic-ready primary health care is likely to be stepwise and incremental, advancing when opportunity arises based on explicit agreement on a core set of services, improved use of external and national funds, and payment based in large part on empanelment and capitation to improve outcomes and accountability, supplemented with funding for core staffing and infrastructure and well designed incentives for health improvement. Health-care worker and broader civil society advocacy, political consensus, and bolstering government legitimacy could promote strong primary health care. Epidemic-ready primary health-care infrastructure that is able to help prevent and withstand the next pandemic will require substantial financial and structural reforms and sustained political and financial commitment. Governments, advocates, and bilateral and multilateral agencies should seize this window of opportunity before it closes.

Feasibility, enablers and challenges of using timeliness metrics for household contact tracing and TB preventive therapy in Pakistan.

INTRODUCTION: Screening household contacts of TB patients and providing TB preventive therapy (TPT) is a key intervention to end the TB epidemic. Global and timely implementation of TPT in household contacts, however, is dismal. We adapted the 7-1-7 timeliness metric designed to evaluate and respond to infectious disease outbreaks or pandemics, and assessed the feasibility, enablers and challenges of implementing this metric for screening and management of household contacts of index patients with bacteriologically-confirmed pulmonary TB in Karachi city, Pakistan. METHODS: We conducted an explanatory mixed methods study with a quantitative component (cohort design) followed by a qualitative component (descriptive design with focus group discussions). RESULTS: From January-June 2023, 92% of 450 index patients had their household contacts line-listed within seven days of initiating anti-TB treatment ("first 7"). In 84% of 1342 household contacts, screening outcomes were ascertained within one day of line-listing ("next 1"). In 35% of 256 household contacts eligible for further evaluation by a medical officer (aged ≤5 years or with chest symptoms), anti-tuberculosis treatment, TPT or a decision for no drugs was made within seven days of symptom screening ("second 7"). The principal reason for not starting anti-tuberculosis treatment or TPT was failure to consult a medical officer: only 129(50%) of 256 contacts consulted a medical officer. Reasons for poor performance in the "second 7" component included travel costs to see a medical officer, loss of daily earnings and fear of a TB diagnosis. Field staff reported that timeliness metrics motivated them to take prompt action in household contact screening and TPT provision and they suggested these be included in national guidelines. CONCLUSIONS: Field staff found "7-1-7" timeliness metrics to be feasible and useful. Integration of these metrics into national guidelines could improve timeliness of diagnosis, treatment and prevention of TB within households of index patients.

Modelling the economic burden of SARS-CoV-2 infection in health care workers in four countries.

Health care workers (HCWs) experienced greater risk of SARS-CoV-2 infection during the COVID-19 pandemic. This study applies a cost-of-illness (COI) approach to model the economic burden associated with SARS-CoV-2 infections among HCWs in five low- and middle-income sites (Kenya, Eswatini, Colombia, KwaZulu-Natal province, and Western Cape province of South Africa) during the first year of the pandemic. We find that not only did HCWs have a higher incidence of COVID-19 than the general population, but in all sites except Colombia, viral transmission from infected HCWs to close contacts resulted in substantial secondary SARS-CoV-2 infection and death. Disruption in health services as a result of HCW illness affected maternal and child deaths dramatically. Total economic losses attributable to SARS-CoV-2 infection among HCWs as a share of total health expenditure ranged from 1.51% in Colombia to 8.38% in Western Cape province, South Africa. This economic burden to society highlights the importance of adequate infection prevention and control measures to minimize the risk of SARS-CoV-2 infection in HCWs.

Addressing the challenges of implementing evidence-based prioritisation in global health.

Global health requires evidence-based approaches to improve health and decrease inequalities. In a roundtable discussion between health practitioners, funders, academics and policy-makers, we recognised key areas for improvement to deliver better-informed, sustainable and equitable global health practices. These focus on considering information-sharing mechanisms and developing evidence-based frameworks that take an adaptive function-based approach, grounded in the ability to perform and respond to prioritised needs. Increasing social engagement as well as sector and participant diversity in whole-of-society decision-making, and collaborating with and optimising on hyperlocal and global regional entities, will improve prioritisation of global health capabilities. Since the skills required to navigate drivers of pandemics, and the challenges in prioritising, capacity building and response do not sit squarely in the health sector, it is essential to integrate expertise from a broad range of fields to maximise on available knowledge during decision-making and system development. Here, we review the current assessment tools and provide seven discussion points for how improvements to implementation of evidence-based prioritisation can improve global health.

Implementation of the 7-1-7 target for detection, notification, and response to public health threats in five countries: a retrospective, observational study.

BACKGROUND: Suboptimal detection and response to recent outbreaks, including COVID-19 and mpox (formerly known as monkeypox), have shown that the world is insufficiently prepared for public health threats. Routine monitoring of detection and response performance of health emergency systems through timeliness metrics has been proposed to evaluate and improve outbreak preparedness and contain health threats early. We implemented 7-1-7 to measure the timeliness of detection (target of ≤7 days from emergence), notification (target of ≤1 day from detection), and completion of seven early response actions (target of ≤7 days from notification), and we identified bottlenecks to and enablers of system performance. METHODS: In this retrospective, observational study, we conducted reviews of public health events in Brazil, Ethiopia, Liberia, Nigeria, and Uganda with staff from ministries of health and national public health institutes. For selected public health events occurring from Jan 1, 2018, to Dec 31, 2022, we calculated timeliness intervals for detection, notification, and early response actions, and synthesised identified bottlenecks and enablers. We mapped bottlenecks and enablers to Joint External Evaluation (second edition) indicators. FINDINGS: Of 41 public health events assessed, 22 (54%) met a target of 7 days to detect (median 6 days [range 0-157]), 29 (71%) met a target of 1 day to notify (0 days [0-24]), and 20 (49%) met a target of 7 days to complete all early response actions (8 days [0-72]). 11 (27%) events met the complete 7-1-7 target, with variation among event types. 25 (61%) of 41 bottlenecks to and 27 (51%) of 53 enablers of detection were at the health facility level, with delays to notification (14 [44%] of 32 bottlenecks) and response (22 [39%] of 56 bottlenecks) most often at an intermediate public health (ie, municipal, district, county, state, or province) level. Rapid resource mobilisation for responses (six [9%] of 65 enablers) from the national level enabled faster responses. INTERPRETATION: The 7-1-7 target is feasible to measure and to achieve, and assessment with this framework can identify areas for performance improvement and help prioritise national planning. Increased investments must be made at the health facility and intermediate public health levels for improved systems to detect, notify, and rapidly respond to emerging public health threats. FUNDING: Bill & Melinda Gates Foundation.

Investing in global health security: Estimating cost requirements for country-level capacity building.

The COVID-19 pandemic has highlighted critical gaps in global capacity to prevent, detect, and respond to infectious diseases. To effectively allocate investments that address these gaps, it is first necessary to quantify the extent of the need, evaluate the types of resources and activities that require additional support, and engage the global community in ongoing assessment, planning, and implementation. Which investments are needed, where, to strengthen health security? This work aims to estimate costs to strengthen country-level health security, globally and identify associated cost drivers. The cost of building public health capacity is estimated based on investments needed, per country, to progress towards the benchmarks identified by the World Health Organization's Joint External Evaluation (JEE). For each country, costs are estimated to progress to a score of "demonstrated capacity" (4) across indicators. Over five years, an estimated US$124 billion is needed to reach "demonstrated capacity" on each indicator of the JEE for each of the 196 States Parties to the International Health Regulations (IHR). Personnel costs, including skilled health, public health, and animal health workers, are the single most influential cost driver, comprising 66% of total costs. These findings, and the data generated by this effort, provide cost estimates to inform ongoing health security financing discussions at the global level. The results highlight the significant need for sustainable financing mechanisms for both workforce development and ongoing support for the health and public health workforce.

How do local-level authorities engage in epidemic and pandemic preparedness activities and coordinate with higher levels of government? Survey results from 33 cities.

The COVID-19 pandemic suggests that there are opportunities to improve preparedness for infectious disease outbreaks. While much attention has been given to understanding national-level preparedness, relatively little attention has been given to understanding preparedness at the local-level. We, therefore, aim to describe (1) how local governments in urban environments were engaged in epidemic preparedness efforts before the COVID-19 pandemic and (2) how they were coordinating with authorities at higher levels of governance before COVID-19. We developed a survey and distributed it to 50 cities around the world involved in the Partnership for Healthy Cities. The survey included several question formats including free-response, matrices, and multiple-choice questions. RACI matrices, a project management tool that helps explain coordination structures, were used to understand the level of government responsible, accountable, consulted, and informed regarding select preparedness activities. We used descriptive statistics to summarize local-level engagement in preparedness. Local authorities from 33 cities completed the survey. Prior to the COVID-19 pandemic, 20 of the cities had completed infectious disease risk assessments, 10 completed all-hazards risk assessments, 11 completed simulation exercises, 10 completed after-action reviews, 19 developed preparedness and response plans, three reported involvement in their country's Joint External Evaluation of the International Health Regulations, and eight cities reported involvement in the development of their countries' National Action Plan for Health Security. RACI matrices revealed various models of epidemic preparedness, with responsibility often shared across levels, and national governments accountable for the most activities, compared to other governance levels. In conclusion, national governments maintain the largest role in epidemic and pandemic preparedness but the role of subnational and local governments is not negligible. Local-level actors engage in a variety of preparedness activities and future efforts should strive to better include these actors in preparedness as a means of bolstering local, national, and global health security.

Urban pandemic response: Survey results describing the experiences from twenty-five cities during the COVID-19 pandemic.

Since first being detected in Wuhan, China in late December 2019, COVID-19 has demanded a response from all levels of government. While the role of local governments in routine public health functions is well understood-and the response to the pandemic has highlighted the importance of involving local governments in the response to and management of large, multifaceted challenges-their role in pandemic response remains more undefined. Accordingly, to better understand how local governments in cities were involved in the response to the COVID-19 pandemic, we conducted a survey involving cities in the Partnership for Healthy Cities to: (i) understand which levels of government were responsible, accountable, consulted, and informed regarding select pandemic response activities; (ii) document when response activities were implemented; (iii) characterize how challenging response activities were; and (iv) query about future engagement in pandemic and epidemic preparedness. Twenty-five cities from around the world completed the survey and we used descriptive statistics to summarize the urban experience in pandemic response. Our results show that national authorities were responsible and accountable for a majority of the activities considered, but that local governments were also responsible and accountable for key activities-especially risk communication and coordinating with community-based organizations and civil society organizations. Further, most response activities were implemented after COVID-19 had been confirmed in a city, many pandemic response activities proved to be challenging for local authorities, and nearly all local authorities envisioned being more engaged in pandemic preparedness and response following the COVID-19 pandemic. This descriptive research represents an important contribution to an expanding evidence base focused on improving the response to the ongoing COVID-19 pandemic, as well as future outbreaks.

Psychosocial determinants of adherence to public health and social measures (PHSMs) in 18 African Union Member States during the early phase of the COVID-19 pandemic: results of a cross-sectional survey.

OBJECTIVE: The objective of this study was to gain a better understanding of the psychosocial and sociodemographic factors that affected adherence to COVID-19 public health and social measures (PHSMs), and to identify the factors that most strongly related to whether citizens followed public health guidance. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: Nationally representative telephone surveys were conducted from 4-17 August 2020 in 18 African Union Member States. A total of 21 600 adults (mean age=32.7 years, SD=11.4) were interviewed (1200 in each country). OUTCOME MEASURES: Information including sociodemographics, adherence to PHSMs and psychosocial variables was collected. Logistic regression models examined the association between PHSM adherence (eg, physical distancing, gathering restrictions) and sociodemographic and psychosocial characteristics (eg, risk perception, trust). Factors affecting adherence were ranked using the Shapley regression decomposition method. RESULTS: Adherence to PHSMs was high, with better adherence to personal than community PHSMs (65.5% vs 30.2%, p<0.05). Psychosocial measures were significantly associated with personal and community PHSMs (p<0.05). Women and older adults demonstrated better adherence to personal PHSMs (adjusted OR (aOR): women=1.43, age=1.01, p<0.05) and community PHSMs (aOR: women=1.57, age=1.01, p<0.05). Secondary education was associated with better adherence only to personal PHSMs (aOR=1.22, p<0.05). Rural residence and access to running water were associated with better adherence to community PHSMs (aOR=1.12 and 1.18, respectively, p<0.05). The factors that most affected adherence to personal PHSMs were: self-efficacy; trust in hospitals/health centres; knowledge about face masks; trust in the president; and gender. For community PHSMs they were: gender; trust in the president; access to running water; trust in hospitals/health centres; and risk perception. CONCLUSIONS: Psychosocial factors, particularly trust in authorities and institutions, played a critical role in PHSM adherence. Adherence to community PHSMs was lower than personal PHSMs since they can impose significant burdens, particularly on the socially vulnerable.

Interventions for improving employment outcomes for persons with autism spectrum disorders: A systematic review update.

Background: The incidence of autism spectrum disorders (ASD) is on the rise. Currently, 1 in 59 children are identified with ASD in the United States. ASD refers to a range of neurological disorders that involve some degree of difficulty with communication and interpersonal relationships. The range of the spectrum for autism disorders is wide with those at the higher functioning end often able to lead relatively independent lives and complete academic programs even while demonstrating social awkwardness. Those at the lower functioning end of the autism spectrum often demonstrate physical limitations, may lack speech, and have the inability to relate socially with others. As persons with ASD age, options such as employment become increasingly important as a consideration for long-term personal planning and quality of life. While many challenges exist for persons with ASD in obtaining and maintaining employment, some research shows that, with effective behavioral and social interventions, employment can occur. About 37% of individuals with ASD report having been employed for 12 months or more, 4 years after exiting high school. However, several studies show that individuals with ASD are more likely to lose their employment for behavioral and social interaction problems rather than their inability to perform assigned work tasks. Although Westbrook et al. (2012a, 2013, 2015) have reviewed the literature on interventions targeting employment for individuals with ASD, this review is outdated and does not account for recent developments in the field. Objectives: The objective of this review is to determine the effectiveness of employment interventions in securing and maintaining employment for adults and transition-age youth with ASD, updating two reviews by Westbrook et al. (2012a, 2013). Search Methods: The comprehensive search strategy used to identify relevant studies included a review of 28 relevant electronic databases. Search terminology for each of the electronic databases was developed from available database thesauri. Appropriate synonyms were used to maximize the database search output. Several international databases were included among the 28 databases searched. In addition, the authors identified and reviewed gray literature through analysis of reference lists of relevant studies. Unpublished dissertations and theses were also identified through database searches. The programs of conferences held by associations and organizations relevant to ASD and employment were also searched. In sum, the search strategy replicated and expanded the prior search methods used by Westbrook et al. (2012a, 2013). Selection Criteria: Selection criteria consisted of an intervention evaluation using a randomized controlled trial or quasi-experimental design, an employment outcome, and a population of individuals with ASD. Data Collection and Analysis: We updated the search from Westbrook et al., replicating and broadening the information retrieval processes. Our wide array of sources included electronic databases, gray literature, and conference and organization websites. Once all potentially relevant studies were located, pairs of coders evaluated the relevance of each title and abstract. Among the studies deemed potentially relevant, 278 were subjected to full-text retrieval and screening by pairs of coders. Because many intervention studies did not include employment outcomes, only three studies met our inclusion criteria. Given the small number of included studies, meta-analytic procedures were not used; rather, we opted to use more narrative and descriptive analysis to summarize the available evidence, including an assessment of risk of bias. Results: The systematic review update identified three studies that evaluated employment outcomes for interventions for individuals with ASD. All three studies identified in the review suggest that vocation-focused programs may have positive impacts on the employment outcomes for individuals with ASD. Wehman et al. indicated that participants in Project SEARCH had higher employment rates than control participants at both 9-month and 1-year follow-up time points. Adding autism spectrum disorder supports, Project SEARCH in Wehman et al.'s study also demonstrated higher employment rates for treatment participants than control participants at postgraduation, 3-month follow-up, and 12-month follow-up. Smith et al. found that virtual reality job interview training was able to increase the number of job offers treatment participants received compared to control participants. Authors' Conclusions: Given that prior reviews did not identify interventions with actual employment outcomes, the more recent emergence of evaluations of such programs is encouraging. This suggests that there is a growing body of evidence regarding interventions to enhance the employment outcomes for individuals with ASD but also greater need to conduct rigorous trials of vocation-based interventions for individuals with ASD that measure employment outcomes.

People-centred surveillance: a narrative review of community-based surveillance among crisis-affected populations.

Outbreaks of disease in settings affected by crises grow rapidly due to late detection and weakened public health systems. Where surveillance is underfunctioning, community-based surveillance can contribute to rapid outbreak detection and response, a core capacity of the International Health Regulations. We reviewed articles describing the potential for community-based surveillance to detect diseases of epidemic potential, outbreaks, and mortality among populations affected by crises. Surveillance objectives have included the early warning of outbreaks, active case finding during outbreaks, case finding for eradication programmes, and mortality surveillance. Community-based surveillance can provide sensitive and timely detection, identify valid signals for diseases with salient symptoms, and provide continuity in remote areas during cycles of insecurity. Effectiveness appears to be mediated by operational requirements for continuous supervision of large community networks, verification of a large number of signals, and integration of community-based surveillance within the routine investigation and response infrastructure. Similar to all community health systems, community-based surveillance requires simple design, reliable supervision, and early and routine monitoring and evaluation to ensure data validity. Research priorities include the evaluation of syndromic case definitions, electronic data collection for community members, sentinel site designs, and statistical techniques to counterbalance false positive signals.

Assessing and Reducing Risk to Healthcare Workers in Outbreaks.

The 2014-2016 West African Ebola epidemic was devastating in many respects, not least of which was the impact on healthcare systems and their health workforce. Healthcare workers-including physicians, clinical officers, nurses, midwives, and community health workers-serve on the front lines of efforts to detect, control, and stop the spread of disease. Risk mitigation strategies, including infection prevention and control (IPC) practices, are meant to keep healthcare workers safe from occupational exposure to disease and to protect patients from healthcare-associated infections. Despite ongoing IPC efforts, steady rates of both healthcare-associated and healthcare worker infections signal that these mitigation measures have been inadequate at all levels and present a potential critical point of failure in efforts to limit and control the spread of outbreaks. The fact that healthcare workers continue to be infected or are a source of infection during public health emergencies reveals a weakness in global preparedness efforts. Identification of key points of failure-both within the health system and during emergencies-is the first step to mitigating risk of exposure. A 2-pronged solution is proposed to address long-term gaps in the health system that impact infection control and emergency response: prioritization of IPC for epidemic preparedness at a global level and development and use of rapid risk assessments to prioritize risk mitigation strategies for IPC. Without global support, evidence, and systems in place to support the lives of healthcare workers, the lives of their patients and the health system in general are also at risk.

Unreported cases in the 2014-2016 Ebola epidemic: Spatiotemporal variation, and implications for estimating transmission.

In the recent 2014-2016 Ebola epidemic in West Africa, non-hospitalized cases were an important component of the chain of transmission. However, non-hospitalized cases are at increased risk of going unreported because of barriers to access to healthcare. Furthermore, underreporting rates may fluctuate over space and time, biasing estimates of disease transmission rates, which are important for understanding spread and planning control measures. We performed a retrospective analysis on community deaths during the recent Ebola epidemic in Sierra Leone to estimate the number of unreported non-hospitalized cases, and to quantify how Ebola reporting rates varied across locations and over time. We then tested if variation in reporting rates affected the estimates of disease transmission rates that were used in surveillance and response. We found significant variation in reporting rates among districts, and district-specific rates of increase in reporting over time. Correcting time series of numbers of cases for variable reporting rates led, in some instances, to different estimates of the time-varying reproduction number of the epidemic, particularly outside the capital. Future analyses that compare Ebola transmission rates over time and across locations may be improved by considering the impacts of differential reporting rates.

Estimating the number of secondary Ebola cases resulting from an unsafe burial and risk factors for transmission during the West Africa Ebola epidemic.

BACKGROUND: Safely burying Ebola infected individuals is acknowledged to be important for controlling Ebola epidemics and was a major component of the 2013-2016 West Africa Ebola response. Yet, in order to understand the impact of safe burial programs it is necessary to elucidate the role of unsafe burials in sustaining chains of Ebola transmission and how the risk posed by activities surrounding unsafe burials, including care provided at home prior to death, vary with human behavior and geography. METHODOLOGY/PRINCIPAL FINDINGS: Interviews with next of kin and community members were carried out for unsafe burials in Sierra Leone, Liberia and Guinea, in six districts where the Red Cross was responsible for safe and dignified burials (SDB). Districts were randomly selected from a district-specific sampling frame comprised of villages and neighborhoods that had experienced cases of Ebola. An average of 2.58 secondary cases were potentially generated per unsafe burial and varied by district (range: 0-20). Contact before and after death was reported for 142 (46%) contacts. Caregivers of a primary case were 2.63 to 5.92 times more likely to become EVD infected compared to those with post-mortem contact only. Using these estimates, the Red Cross SDB program potentially averted between 1,411 and 10,452 secondary EVD cases, reducing the epidemic by 4.9% to 36.5%. CONCLUSIONS/SIGNIFICANCE: SDB is a fundamental control measure that limits community transmission of Ebola; however, for those individuals having contact before and after death, it was impossible to ascertain the exposure that caused their infection. The number of infections prevented through SDB is significant, yet greater impact would be achieved by early hospitalization of the primary case during acute illness.