Increases In COVID-19 Vaccination Among NYC Municipal Employees After Implementation Of Vaccination Requirements.

In July 2021 New York City (NYC) instituted a requirement for all municipal employees to be vaccinated against COVID-19 or undergo weekly testing. The city eliminated the testing option November 1 of that year. We used general linear regression to compare changes in weekly primary vaccination series completion among NYC municipal employees ages 18-64 living in the city and a comparison group of all other NYC residents in this age group during May-December 2021. The rate of change in vaccination prevalence among NYC municipal employees was greater than that of the comparison group only after the testing option was eliminated (employee slope = 12.0; comparison slope = 5.3). Among racial and ethnic groups, the rate of change in vaccination prevalence among municipal employees was higher than the comparison group for Black and White people. The requirements were associated with narrowing the gap in vaccination prevalence between municipal employees and the comparison group overall and between Black municipal employees and employees from other racial and ethnic groups. Workplace requirements are a promising strategy for increasing vaccination among adults and reducing racial and ethnic disparities in vaccination uptake.

Implementing the COVID-19 Rapid Community Assessment on Vaccine Confidence: Lessons Learned From Alabama and Georgia.

Engaging communities is a key strategy to increase COVID-19 vaccination. The Centers for Disease Control and Prevention (CDC) COVID-19 Vaccine Confidence Rapid Community Assessment Guide was developed for community partners to obtain insights about barriers to COVID-19 vaccine uptake and to engage community partners in designing interventions to build vaccine confidence. In spring 2021, 3 CDC teams were deployed to Alabama and Georgia to conduct a rapid community assessment in selected jurisdictions. Data collection included interviews, listening sessions, observations, and street intercept surveys. We identified 3 facilitators and barriers to vaccine uptake: (1) planning and coordination, (2) capacity and implementation, and (3) attitudes and beliefs. We found that the use of the rapid community assessment in Alabama and Georgia was feasible to implement, useful in eliciting unique community concerns and dispelling assumptions, and useful in informing intervention strategies. Our results underscore the importance of community engagement in COVID-19 mitigation strategies.

A cluster randomized trial of delivery of intermittent preventive treatment of malaria in pregnancy at the community level in Malawi.

BACKGROUND: Malaria in pregnancy doubles the risk of low birthweight; up to 11% of all neonatal deaths in sub-Saharan Africa are associated with malaria in pregnancy. To prevent these and other adverse health consequences, the World Health Organization recommends administering intermittent preventive treatment in pregnancy (IPTp) with sulfadoxine-pyrimethamine for all pregnant women at each antenatal care (ANC) visit, starting as early as possible in the second trimester. The target is for countries to administer a minimum of three doses (IPTp3+) to at least 85% of pregnant women. METHODS: A cluster randomized, controlled trial was conducted to assess the effect of delivery of IPTp by community health workers on the coverage of IPTp3 + and ANC visits in Malawi. Community delivery of IPTp was implemented within two districts in Malawi over a 21-month period, from November 2018 to July 2020. In control sites, IPTp was delivered at health facilities. Representative samples of women who delivered in the prior 12 months were surveyed at baseline (n = 370, December 2017) and endline (n = 687, August 2020). A difference in differences analysis was conducted to assess the change in coverage of IPTp and ANC over time, accounting for clustering at the health facility level. RESULTS: Overall IPTp coverage increased over the study period. At baseline, women received a mean of 2.3 IPTp doses (range 0-5 doses) across both arms, and at endline, women received a mean of 2.8 doses (range 0-9 doses). Despite overall increases, the change in IPTp3 + coverage was not significantly different between intervention and control groups (6.9%, 95% CI: -5.9%, 19.6%). ANC4 + coverage increased significantly in the intervention group compared with the control group, with a difference-in-differences of 25.3% points (95% CI: 1.3%, 49.3%). CONCLUSIONS: In order to reduce the burden of malaria in pregnancy, new strategies are needed to improve uptake of effective interventions such as IPTp. While community health workers' delivery of IPTp did not increase uptake in this study, they may be effective in other settings or circumstances. Further research can help identify the health systems characteristics that are conducive to community delivery of IPTp and the operational requirements for effective implementation. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03376217. Registered December 6, 2017, https://clinicaltrials.gov/ct2/show/NCT03376217 .

Assessment of the Chad guinea worm surveillance information system: A pivotal foundation for eradication.

BACKGROUND: In the absence of a vaccine or pharmacological treatment, prevention and control of Guinea worm disease is dependent on timely identification and containment of cases to interrupt transmission. The Chad Guinea Worm Eradication Program (CGWEP) surveillance system detects and monitors Guinea worm disease in both humans and animals. Although Guinea worm cases in humans has declined, the discovery of canine infections in dogs in Chad has posed a significant challenge to eradication efforts. A foundational information system that supports the surveillance activities with modern data management practices is needed to support continued program efficacy. METHODS: We sought to assess the current CGWEP surveillance and information system to identify gaps and redundancies and propose system improvements. We reviewed documentation, consulted with subject matter experts and stakeholders, inventoried datasets to map data elements and information flow, and mapped data management processes. We used the Information Value Cycle (IVC) and Data-Information System-Context (DISC) frameworks to help understand the information generated and identify gaps. RESULTS: Findings from this study identified areas for improvement, including the need for consolidation of forms that capture the same demographic variables, which could be accomplished with an electronic data capture system. Further, the mental models (conceptual frameworks) IVC and DISC highlighted the need for more detailed, standardized workflows specifically related to information management. CONCLUSIONS: Based on these findings, we proposed a four-phased roadmap for centralizing data systems and transitioning to an electronic data capture system. These included: development of a data governance plan, transition to electronic data entry and centralized data storage, transition to a relational database, and cloud-based integration. The method and outcome of this assessment could be used by other neglected tropical disease programs looking to transition to modern electronic data capture systems.

Community-based Guinea worm surveillance in Chad: Evaluating a system at the intersection of human and animal disease.

BACKGROUND: Guinea worm is a debilitating parasitic infection targeted for eradication. Annual human cases have dropped from approximately 3,500,000 in 1986 to 54 in 2019. Recent identification of canine cases in Chad threatens progress, and therefore detection, prevention, and containment of canine cases is a priority. We investigated associations between disease knowledge, community engagement, and canine cases in Chad to identify opportunities to improve active surveillance. METHODS: We surveyed 627 respondents (villagers, local leaders, community volunteers, and supervisors) across 45 villages under active surveillance. Descriptive statistics were analyzed by respondent category. Logistic regression models were fitted to assess the effects of volunteer visit frequency on villager knowledge. RESULTS: Knowledge increased with respondents' associations with the Guinea worm program. Household visit frequency by community volunteers was uneven: 53.0% of villagers reported visits at least twice weekly and 21.4% of villagers reported never being visited. Villagers visited by a volunteer at least twice weekly had better knowledge of Guinea worm symptoms (OR: 1.71; 95% CI: 1.04-2.79) and could name more prevention strategies (OR: 2.04; 95% CI: 1.32-3.15) than villagers visited less frequently. The primary motivation to report was to facilitate care-seeking for people with Guinea worm. Knowledge of animal "containment" to prevent contamination of water, knowledge of rewards for reporting animal cases, and ability to name any reasons to report Guinea worm were each positively correlated with village canine case counts. CONCLUSIONS: Community volunteers play crucial roles in educating their neighbors about Guinea worm and facilitating surveillance. Additional training and more attentive management of volunteers and supervisors could increase visit frequency and further amplify their impact. Emphasizing links between animal and human cases, the importance of animal containment, and animal rewards might improve surveillance and canine case detection. The surveillance system should be evaluated routinely to expand generalizability of data and monitor changes over time.

Timely intervention and control of a novel coronavirus (COVID-19) outbreak at a large skilled nursing facility-San Francisco, California, 2020.

OBJECTIVE: To describe epidemiologic and genomic characteristics of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak in a large skilled-nursing facility (SNF), and the strategies that controlled transmission. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted during March 22-May 4, 2020, among all staff and residents at a 780-bed SNF in San Francisco, California. METHODS: Contact tracing and symptom screening guided targeted testing of staff and residents; respiratory specimens were also collected through serial point prevalence surveys (PPSs) in units with confirmed cases. Cases were confirmed by real-time reverse transcription-polymerase chain reaction testing for SARS-CoV-2, and whole-genome sequencing (WGS) was used to characterize viral isolate lineages and relatedness. Infection prevention and control (IPC) interventions included restricting from work any staff who had close contact with a confirmed case; restricting movement between units; implementing surgical face masking facility-wide; and the use of recommended PPE (ie, isolation gown, gloves, N95 respirator and eye protection) for clinical interactions in units with confirmed cases. RESULTS: Of 725 staff and residents tested through targeted testing and serial PPSs, 21 (3%) were SARS-CoV-2 positive: 16 (76%) staff and 5 (24%) residents. Fifteen cases (71%) were linked to a single unit. Targeted testing identified 17 cases (81%), and PPSs identified 4 cases (19%). Most cases (71%) were identified before IPC interventions could be implemented. WGS was performed on SARS-CoV-2 isolates from 4 staff and 4 residents: 5 were of Santa Clara County lineage and the 3 others were distinct lineages. CONCLUSIONS: Early implementation of targeted testing, serial PPSs, and multimodal IPC interventions limited SARS-CoV-2 transmission within the SNF.

Factors That Might Affect SARS-CoV-2 Transmission Among Foreign-Born and U.S.-Born Poultry Facility Workers - Maryland, May 2020.

Numerous recent assessments indicate that meat and poultry processing facility workers are at increased risk for infection with SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19) (1-4). Physical proximity to other workers and shared equipment can facilitate disease transmission in these settings (2-4). The disproportionate number of foreign-born workers employed in meat and poultry processing reflects structural, social, and economic inequities that likely contribute to an increased COVID-19 incidence in this population* (5). In May 2020, the Maryland Department of Health and CDC investigated factors that might affect person-to-person SARS-CoV-2 transmission among persons who worked at two poultry processing facilities.† A survey administered to 359 workers identified differences in risk factors for SARS-CoV-2 infection between workers born outside the United States and U.S.-born workers. Compared with U.S.-born workers, foreign-born workers had higher odds of working in fixed locations on the production floor (odds ratio [OR] for cutup and packaging jobs = 4.8), of having shared commutes (OR = 1.9), and of living with other poultry workers (OR = 6.0). They had lower odds of participating in social gatherings (OR for visits to family = 0.2; OR for visits to friends = 0.4), and they visited fewer businesses in the week before the survey than did their U.S.-born coworkers. Some workplace risk factors can be mitigated through engineering and administrative controls focused on the production floor, and this will be of particular benefit to the foreign-born workers concentrated in these areas. Employers and health departments can also partner with local organizations to disseminate culturally and linguistically tailored messages about risk reduction behaviors in community settings, including shared transportation§ and household members dwelling in close quarters.¶.

Predictors of Interpersonal Violence in the Household in Humanitarian Settings: A Systematic Review.

Interpersonal violence against women and children has increasingly been recognized as a public health priority in humanitarian emergencies. However, because the household is generally considered a private sphere, violence between family members remains neglected. A systematic literature review was conducted to identify predictors of household violence in humanitarian emergencies. PubMed, Web of Science, and Scopus were searched from January 1, 1998, to February 16, 2016. A predictor was defined as any individual, household, or community-level exposure that increases or decreases the risk associated with physical, sexual, or emotional interpersonal violence between two or more people living together. All studies reporting on quantitative research were eligible for inclusion. Results were analyzed using qualitative synthesis. Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed as applicable. The search strategy resulted in 2,587 original records, of which 33 studies met inclusion criteria. Thirty-two of the 33 studies used a cross-sectional design. This was the first known systematic review of predictors of household violence in humanitarian settings. The household framework drew attention to several factors that are associated with violence against both women and children, including conflict exposure, alcohol and drug use, income/economic status, mental health/coping strategies, and limited social support. There is a need for longitudinal research and experimental designs that can better establish temporality between exposures and household violence outcomes, control for confounding, and inform practice. In the interim, programmers and policy makers should try to leverage the predictors identified by this review for integrated violence prevention and response strategies, with the important caveat that ongoing evaluation of such strategies is needed.

Community-based surveillance of unaccompanied and separated children in drought-affected northern Ethiopia.

BACKGROUND: Children separated from their caregivers in humanitarian emergencies are vulnerable to multiple risks. However, no field-tested methods exist to capture ongoing changes in the frequency and nature of separation in these contexts over the course of a protracted crisis. METHODS: Recognizing this gap, a mobile phone-based surveillance system was established in a drought-affected district in northern Ethiopia to assess the feasibility of using community focal points to monitor cases of unaccompanied and separated children. A total of 29 focal points were recruited through village elections from 10 villages in the district. Feasibility was assessed directly by measuring the number and quality of messages sent by the focal points each week. The team also evaluated the implementation process and any challenges that arose through observations and key informant interviews with focal points at the conclusion of the project measuring frequency of employing various information gathering techniques, challenges faced, and perceptions of community expectations. Likert scales were used to measure overall satisfaction with the experience of being a focal point, self-assessed difficulty of being a focal point, perceived likelihood of cases captured, and motivation. RESULTS: Over a six-month period, the focal points reported 48 cases of separation. The majority of separated children (64.6%) were 10 years of age or older. Work was a major driver of separation, especially for boys. Age, sex, role in community, and density of community had no statistically significant impact on focal point performance in terms of frequency, accuracy, or consistency of messages. The focal points themselves reported high levels of motivation, but suggested several areas for improvement in the surveillance system. CONCLUSIONS: Without the surveillance system, most of these children would have otherwise been unrecognized. From a technical standpoint the system was successful and resilient in the face of unexpected external challenges. However, focal point participation and accuracy was variable over time and across groups and diminished towards the later months of the study, suggesting that the community-based approach may require additional supports to ensure that the surveillance system is able to accurately capture trends over time.

Using a population-based survey approach to estimate child separation after a natural disaster: findings from post-Hurricane Haiti.

INTRODUCTION: This study explores findings of a population-based approach to measure the prevalence of unaccompanied and separated children (UASC) during the Hurricane Matthew aftermath in Haiti. METHODS: We conducted a cross-sectional survey using two-stage cluster sampling. Participants were asked to provide information on their own household composition, as well as the household composition of their closest neighbour (the Neighborhood Method). The study took place between February and March 2017 in Haiti's Sud Department, a region severely affected by Hurricane Matthew in October 2016. 1044 primary respondents provided information about their own household, and 4165 people in the household of their closet neighbour. The primary outcome measured was the prevalence of UASC in the Sud Department following Hurricane Matthew. Secondary outcomes of interest included the characteristics of these children, including age, sex, reason for separation and current caregiver. RESULTS: Of the 2046 children currently living in the surveyed households, 3.03% (95% CI 2.29% to 3.77%) were reported to have been separated from their normal caregiver during Hurricane Matthew. Among these 62 children, 9 were unaccompanied, and there were slightly more boys than girls (56% vs 44%, p=0.37). Of the 2060 children who lived in surveyed households when the hurricane hit, 1.12% (95% CI 0.67% to 1.57%) had since departed without their caregiver. The prevalence of separation reported for neighbours' households was not significantly different from that in respondents' households (p values between 0.08 and 0.29). CONCLUSIONS: This study is the first known attempt to measure the prevalence of child separation following a natural disaster. Overall, the rates of separation were relatively low. Similarities between primary and secondary reports of child separation via the Neighborhood Method indicate that this may be a viable approach to measuring UASC in certain contexts.

Measuring movement into residential care institutions in Haiti after Hurricane Matthew: A pilot study.

BACKGROUND: Governments have an ethical imperative to safeguard children in residential care institutions at all times, including in the aftermath of an emergency. Yet, a lack of accurate data about how the magnitude and characteristics of this population may change due to an emergency impedes leaders' ability to formulate responsive policies and services, mobilize resources and foster accountability. The purpose of this study was therefore to determine the feasibility of evaluating movement of children into residential care following an emergency. METHODS: The pilot study took place in Les Cayes commune in the Sud Department of Haiti in April 2017. Six months prior to the pilot, the area was severely affected by Hurricane Matthew, with widespread devastation to property, livestock and livelihoods. Using a two-stage process, the team created a comprehensive list of residential care institutions in Les Cayes. At each facility, the data collectors attempted to administer four separate tools: a group count tool, a record review tool, interviews with staff, and interviews with children 10 years of age and older. RESULTS: Out of 27 known institutions in Les Cayes, 22 institutions consented to participate in the research. Within these 22 institutions, the prevalence of new arrivals to residential care since Hurricane Matthew varied significantly across the four tools, ranging from 0.69% according to the aggregated child interviews to 20.96% according to the aggregated staff interviews. Record availability and quality was very poor and child participation was difficult to arrange due to travel and scheduling constraints. INTERPRETATION: Robust measurement of new arrivals to residential care institutions was not feasible in Haiti following Hurricane Matthew. Moreover, many of the challenges encountered are likely to be encountered in humanitarian emergencies in other settings. Therefore, the research team does not recommend scale-up of these methods in most humanitarian settings. Alternative approaches that incorporate household survey methods to ascertain movement into residential care based on reports from caregivers may be more realistic in places with poor pre-existing governance systems and weak registries and records for residential care institutions.

Estimating the size of the homeless adolescent population across seven cities in Cambodia.

BACKGROUND: The Government of Cambodia has committed to supporting family care for vulnerable children, including homeless populations. Collecting baseline data on the numbers and characteristics of homeless adolescents was prioritized to illuminate the scope of the issue, mobilize resources and direct the response. METHODS: Administrative zones across seven cities were purposively selected to cover the main urban areas known to have homeless populations in Cambodia. A complete enumeration of homeless individuals between the ages of 13 and 17 was attempted in the selected areas. In addition, a second independent count was conducted to enable a statistical estimation of completeness based on overlap across counts. This technique is known as capture-recapture. Adolescents were also interviewed about their schooling, health and other circumstances. RESULTS: After adjustment by the capture-recapture corrective multipliers (range: 3.53 -27.08), the study yielded an estimate of 2,697 13-17 year old homeless adolescents across all seven cities. The total number of homeless boys counted was significantly greater than homeless girls, especially in older ages. CONCLUSIONS: To the authors' knowledge, this is the first time capture-recapture methods have been applied to a homeless estimation of this scale in a resource-limited setting. Findings suggest the number of homeless adolescents in Cambodia is much greater than one would expect if relying on single count data alone and that this population faces many hardships.

National estimation of children in residential care institutions in Cambodia: a modelling study.

OBJECTIVES: The primary objective of this study was to collect baseline data on the number of children living in residential care institutions in Cambodia. The secondary objective was to describe the characteristics of the children (eg, age, sex, duration of stay, education and health). The data were intended to guide recent efforts by the Government of Cambodia to reduce the number of children living in residential care institutions and increase the number of children growing up in supportive family environments. SETTING: Data were collected in Cambodia across 24 sites at the commune level. Communes-administrative divisions roughly equivalent to counties-were selected by the National Institute of Statistics using a two-stage sampling method. DESIGN: Government lists and key informant interviews were used to construct a complete roster of institutions across the 24 communes. All identified institutions were visited to count the number of children and gather data on their basic characteristics. The rate of children in residential care in the selected communes was calculated as a percentage of total population using a Poisson model. This rate was applied to all districts in Cambodia with at least one reported residential care institution. PARTICIPANTS: A total of 3588 children were counted across 122 institutions. A child living in a residential care institution was defined as anyone under the age of 18 years who was sleeping in the institution for at least four nights per week during the data collection period. RESULTS: There are an estimated 48 775 children living in residential care institutions in Cambodia. The vast majority of children have a living parent and are school-aged. More than half are between 13 and 17 years of age. CONCLUSIONS: Nearly 1 of every 100 children in Cambodia is living in residential care. This raises substantial concerns for child health, protection and national development.

The impact of humanitarian emergencies on the prevalence of violence against children: an evidence-based ecological framework.

Little is known about the patterns and mechanisms by which humanitarian emergencies may exacerbate violence against children. In this article, we propose using the ecological framework to examine the impact of humanitarian emergencies on interpersonal violence against children. We consider the literature that supports this framework and suggest future directions for research to fill identified gaps in the framework. The relationship between humanitarian emergencies and violence against children depends on risk factors at multiple levels, including a breakdown of child protection systems, displacement, threats to livelihoods, changing gender roles, changing household composition, overcrowded living conditions, early marriage, exposure to conflict or other emergency events, and alcohol abuse. The empirical evidence supporting the proposed emergency/violence framework is limited by cross-sectional study designs and a propensity to predominantly examine individual-level determinants of violence, especially exposure to conflict or emergency events. Thus, there is a pressing need to contextualize the relationship between conflict or emergency events and violence against children within the wider ecological and household dynamics that occur during humanitarian emergencies. Ultimately, this will require longitudinal observations of children, families and communities from before the emergency through recovery and improvements to ongoing global surveillance systems. More complete data will enable the humanitarian community to design effective, appropriate and well-targeted interventions.

Assessing the use of the neighborhood method to estimate the prevalence of child separation: a pilot in North Kivu, DRC.

BACKGROUND: This article reports on the use of the 'neighborhood method' to measure the prevalence and basic characteristics of children who became separated from their parents or usual caregivers subsequent to an attack by the M23 militia group in North Kivu, Democratic Republic of the Congo. METHODS: A two-stage household cluster survey was conducted in 522 households in North Kivu in August 2014. Heads of households were asked about separated children in their household, as well as the households of their two closest neighbors. Separation was tracked in terms of children who arrived into the households after the M23 attacks and children who departed from the households after the recall event without their parent(s) or usual caregiver. For a subset of 44 neighbor pairs, respondents were asked to report on the same household to assess inter-rater reliability. Data about primary respondents and their neighbors were assessed to determine whether the neighborhood method was a comparable, reliable and efficient alternative to a traditional household survey about separated children. RESULTS: The prevalence of separated children who arrived was 8.52 % [95 % CI: 6.75-10.75] in primary households and 4.46 % [95 % CI: 3.60-5.52] in neighbors' households (p-value = 0.0000). The prevalence of separated children who departed was 4.98 % [95 % CI: 3.45-7.19] in primary households and 3.19 % [95 % CI: 2.27-4.48] in neighbors' households (p-value = 0.0110). Kappa coefficients for the neighbor pairs indicated fair to moderate agreement for most demographic variables, but agreement was generally higher for variables related to current characteristics of the households than for variables describing the household in the past, especially before the M23 attack. Compared to a traditional household survey with similar power, the neighborhood method reduced data collection time by 50 % and lowered costs by 36 %. CONCLUSION: This pilot showed that, for measuring separated children in North Kivu, the results from neighbor households significantly underestimated the prevalence of separation when compared to data collected from respondents directly. Reliability was mixed. Although the neighborhood method did not yield valid results in this setting, given the potential the method holds to save scarce resources in humanitarian settings, additional pilots to refine and evaluate its validity and reliability in settings with shorter recall periods are recommended.

Estimating child separation in emergencies: Results from North Kivu.

Children who are separated from their families and usual caregivers in emergencies face a multitude of risks to their health and wellbeing. This study presents findings from the first known population-based estimation of separation in an emergency setting. Point prevalence and basic characteristics were measured to inform programming, policies and funding for affected populations. A household survey was carried out in the Democratic Republic of the Congo to estimate separation subsequent to an attack by the M23 militia group. Separation was tracked in terms of children arriving into the household after the M23 attacks and children who had departed from the household after the recall event without their parent or usual caregiver. Five hundred and twenty-two households were surveyed. In the sample of 2,197 children living in the respondents' homes at the time of data collection, 8.47% (n=186) were separated children who had newly arrived in the household since the M23 attack. In the sample of 2,034 children living in the respondents' homes prior to the M23 attack, 5.31% (n=108) children had since departed from the household, resulting in separation from their parents or usual caregivers. Characteristics of children who arrived and children who departed diverged in terms of age, reasons for separation and frequency of unaccompaniment. The findings indicate the potential for population-based estimation of separation to be replicated in emergency settings to inform funding appeals and programmatic response.

Community-based surveillance to monitor trends in unaccompanied and separated children in eastern DRC.

Children who are separated from their families and usual caregivers in emergencies face a multitude of risks. The humanitarian community lacks methods to systematically capture changes in the frequency and nature of such separations over time. A mobile phone-based community surveillance system was piloted in the Democratic Republic of the Congo. The goal was to identify new cases of unaccompanied and separated children on a weekly basis. Over an 11-week period, community focal points reported 62 cases of separation across 10 communities. The majority of children had been under the care of their parents prior to separation. More than half of the children were unaccompanied, meaning that they were living without an adult relative or customary caregiver. The pilot results suggest that implementing a mobile phone-based surveillance system in a humanitarian setting may be feasible and cost-effective and fills a critical gap in the measurement of separated and unaccompanied children in emergencies. A longer pilot to better understand how the system performs over time is recommended.

A research agenda for acute care services delivery in low- and middle-income countries.

Delivery of acute care services at every level of the health system is essential to ensure appropriate evaluation and management of emergent illness and injury in low- and middle-income countries (LMICs). The health services breakout group at the 2013 Academic Emergency Medicine consensus conference developed recommendations for a research agenda along the following themes: infrastructure, implementation, and sustainable provision of acute care services. Based on these recommendations, a set of priorities was created to promote and guide future research on acute care services.