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Sierra Leone is highly endemic for hepatitis B virus (HBV) infection and thus recommends three doses of hepatitis B vaccine (HepB3) from 6 weeks of age but does not recommend a birth dose (HepB-BD) to prevent mother-to-child transmission (MTCT). We evaluated impact of the existing HepB3 schedule and risk for MTCT of HBV. We conducted a community-based serosurvey among 4-30-month-olds, their mothers, and 5-9-year-olds in three districts in Sierra Leone. Participants had an HBV surface antigen (HBsAg) rapid test; all HBsAg-positive and one HBsAg-negative mother per cluster were tested for HBV markers. We collected children's HepB3 vaccination history. Among 1889 children aged 4-30 months, HepB3 coverage was 85% and 20 (1·3% [95% CI 0·8-2·0]) were HBsAg-positive, of whom 70% had received HepB3. Among 2025 children aged 5-9 years, HepB3 coverage was 77% and 32 (1·6% [1·1-2·3]) were HBsAg-positive, of whom 56% had received HepB3. Of 1776 mothers, 169 (9·8% [8·1-11·7]) were HBsAg-positive. HBsAg prevalence was 5·9% among children of HBsAg-positive mothers compared to 0·7% among children of HBsAg-negative mothers (adjusted OR = 10·6 [2·8-40·8]). HBsAg positivity in children was associated with maternal HBsAg (p = 0·026), HBV e antigen (p 0·001), and HBV DNA levels ≥ 200 000 IU/mL (p 0·001). HBsAg prevalence was lower among children than mothers, for whom HepB was not available, suggesting routine infant HepB vaccination has lowered HBV burden. Since HBsAg positivity in children was strongly associated with maternal HBV infection and most of the HBsAg-positive children in the survey received HepB3, HepB-BD may prevent MTCT and chronic HBV infection.

ImportanceAlthough child mortality trends have decreased worldwide, deaths among children younger than 5 years of age remain high and disproportionately circumscribed to sub-Saharan Africa and Southern Asia. Tailored and innovative approaches are needed to increase access, coverage, and quality of child health care services to reduce mortality, but an understanding of health system deficiencies that may have the greatest impact on mortality among children younger than 5 years is lacking.ObjectiveTo investigate which health care and public health improvements could have prevented the most stillbirths and deaths in children younger than 5 years using data from the Child Health and Mortality Prevention Surveillance (CHAMPS) network.Design, Setting, and ParticipantsThis cross-sectional study used longitudinal, population-based, and mortality surveillance data collected by CHAMPS to understand preventable causes of death. Overall, 3390 eligible deaths across all 7 CHAMPS sites (Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa) between December 9, 2016, and December 31, 2021 (1190 stillbirths, 1340 neonatal deaths, 860 infant and child deaths), were included. Deaths were investigated using minimally invasive tissue sampling (MITS), a postmortem approach using biopsy needles for sampling key organs and fluids.Main Outcomes and MeasuresFor each death, an expert multidisciplinary panel reviewed case data to determine the plausible pathway and causes of death. If the death was deemed preventable, the panel identified which of 10 predetermined health system gaps could have prevented the death. The health system improvements that could have prevented the most deaths were evaluated for each age group: stillbirths, neonatal deaths (aged ResultsOf 3390 deaths, 1505 (44.4%) were female and 1880 (55.5%) were male; sex was not recorded for 5 deaths. Of all deaths, 3045 (89.8%) occurred in a healthcare facility and 344 (11.9%) in the community. Overall, 2607 (76.9%) were deemed potentially preventable: 883 of 1190 stillbirths (74.2%), 1010 of 1340 neonatal deaths (75.4%), and 714 of 860 infant and child deaths (83.0%). Recommended measures to prevent deaths were improvements in antenatal and obstetric care (recommended for 588 of 1190 stillbirths [49.4%], 496 of 1340 neonatal deaths [37.0%]), clinical management and quality of care (stillbirths, 280 [23.5%]; neonates, 498 [37.2%]; infants and children, 393 of 860 [45.7%]), health-seeking behavior (infants and children, 237 [27.6%]), and health education (infants and children, 262 [30.5%]).Conclusions and RelevanceIn this cross-sectional study, interventions prioritizing antenatal, intrapartum, and postnatal care could have prevented the most deaths among children younger than 5 years because 75% of deaths among children younger than 5 were stillbirths and neonatal deaths. Measures to reduce mortality in this population should prioritize improving existing systems, such as better access to antenatal care, implementation of standardized clinical protocols, and public education campaigns.

Summary Background The WHO Regional Office for the Africa Regional Immunization Technical Advisory Group, in 2011, adopted the measles control and elimination goals for all countries of the African region to achieve in 2015 and 2020 respectively. Our aim was to track the current status of progress towards measles control and elimination milestones across 15 west African countries between 2001 and 2019. Methods We did a retrospective multicountry series analysis of national immunisation coverage and case surveillance data from Jan 1, 2001, to Dec 31, 2019. Our analysis focused on the 15 west African countries that constitute the Economic Community of West African States. We tracked progress in the coverage of measles-containing vaccines (MCVs), measles supplementary immunisation activities, and measles incidence rates. We developed a country-level measles summary scorecard using eight indicators to track progress towards measles elimination as of the end of 2019. The summary indicators were tracked against measles control and elimination milestones. Findings The weighted average regional first-dose MCV coverage in 2019 was 66% compared with 45% in 2001. 73% (11 of 15) of the west African countries had introduced second-dose MCV as of December, 2019. An estimated 4 588 040 children (aged 12–23 months) did not receive first-dose MCV in 2019, the majority (71%) of whom lived in Nigeria. Based on the scorecard, 12 (80%) countries are off-track to achieving measles elimination milestones; however, Cape Verde, The Gambia, and Ghana have made substantial progress. Interpretation Measles will continue to be endemic in west Africa after 2020. The regional measles incidence rate in 2019 was 33 times the 2020 elimination target of less than 1 case per million population. However, some hope exists as countries can look at the efforts made by Cape Verde, The Gambia, and Ghana and learn from them. Funding None.

In 2016, the Sierra Leone Ministry of Health and Sanitation (MoHS) piloted VaxTrac, an electronic immunization registry (EIR), in an urban district to improve management of vaccination records and tracking of children who missed scheduled doses. We aimed to document lessons learned to inform decision-making on VaxTrac and similar EIRs' future use.Ten out of 50 urban health facilities that implemented VaxTrac were purposively selected for inclusion in a rapid mixed-method assessment from November to December 2017. For a one-month period, records of six scheduled vaccine doses among children 2 years old in VaxTrac were abstracted and compared to three paper-based records (register of under-two children, daily tally sheet, and monthly summary form). We used the under-two register as the reference gold standard for comparison purposes. We interviewed and observed 10 heath workers, one from each selected facility, who were using VaxTrac.Overall, VaxTrac captured 65% of the vaccine doses reported in the paper-based sources, but in the largest health facility VaxTrac captured the highest number of doses. Two additional notable patterns emerged: 1) the aggregated data sources reported higher doses administered compared to the under-two register and VaxTrac; 2) data sources that need real-time data capture during the vaccination session reported fewer doses administered compared to the monthly HF2 summary form. Health workers expressed that the EIR helped them to shorten the time to manage, summarize, and report vaccination records. Workflows for data entry in VaxTrac were inconsistent among facilities and rarely integrated into existing processes. Data sharing restrictions contributed to duplicate records.Although VaxTrac helped to shorten the time to manage, summarize, and report vaccination records, data sharing restrictions coupled with inconsistent and inefficient workflows were major implementation challenges. Readiness-to-introduce and sustainability should be carefully considered before implementing an EIR.

There is limited understanding of the potential impact of information sources on vaccination attitudes and behaviors in low-income countries. We examined how exposure to immunization information sources may be associated with vaccination uptake in Sierra Leone.In 2019, a household survey was conducted using multistage cluster sampling to randomly select 621 caregivers of children aged 12-23 months in 4 districts in Sierra Leone. We measured exposure to various sources of immunization information and 2 outcomes: (1) vaccination confidence using an aggregate score (from 12 Likert items, informed by previously validated scale) that was dichotomized into a binary variable; (2) uptake of the third dose of diphtheria-pertussis-tetanus-hepatitis B-Weighted estimate for penta-3 uptake was 81% (75.2%-85.5%). The likelihood of uptake of penta-3 was significantly greater when caregiver received information from health facilities (adjusted prevalence ratio [aPR]=1.26, 95% confidence interval [CI]=1.1, 1.5), faith leaders (aPR=1.16, 95% CI=1.1, 1.3), and community health workers (aPR=1.13, 95% CI=1.003, 1.3). Exposure to greater number of information sources was associated with high penta-3 uptake (aPR=1.05, 95% CI=1.02, 1.1).Immunization information received during health facility visits and through engagement with religious leaders may enhance vaccination uptake. Assessments to understand context-specific information dynamics should be prioritized in optimizing immunization outcomes.

Background: Ebola virus disease (EVD) plagues low-resource and difficult-to-access settings. Machine learning prognostic models and mHealth tools could improve the understanding and use of evidence-based care guidelines in such settings. However, data incompleteness and lack of interoperability limit model generalizability. This study harmonizes diverse datasets from the 2014–16 EVD epidemic and generates several prognostic models incorporated into the novel Ebola Care Guidelines app that provides informed access to recommended evidence-based guidelines. Methods: Multivariate logistic regression was applied to investigate survival outcomes in 470 patients admitted to five Ebola treatment units in Liberia and Sierra Leone at various timepoints during 2014–16. We generated a parsimonious model (viral load, age, temperature, bleeding, jaundice, dyspnea, dysphagia, and time-to-presentation) and several fallback models for when these variables are unavailable. All were externally validated against two independent datasets and compared to further models including expert observational wellness assessments. Models were incorporated into an app highlighting the signs/symptoms with the largest contribution to prognosis. Findings: The parsimonious model approached the predictive power of observational assessments by experienced clinicians (Area-Under-the-Curve, AUC = 0.70–0.79, accuracy = 0.64–0.74) and maintained its performance across subcohorts with different healthcare seeking behaviors. Age and viral load contributed >5-fold the weighting of other features and including them in a minimal model had a similar AUC, albeit at the cost of specificity. Interpretation: Clinically guided prognostic models can recapitulate clinical expertise and be useful when such expertise is unavailable. Incorporating these models into mHealth tools may facilitate their interpretation and provide informed access to comprehensive clinical guidelines. Funding: Howard Hughes Medical Institute, US National Institutes of Health, Bill & Melinda Gates Foundation, International Medical Corps, UK Department for International Development, and GOAL Global. Keywords: Ebola virus disease, Prognostic models, Machine learning, Data visualization, Severity score, mHealth, Supportive care guidelines, Clinical intuition

Background Urban childhood immunization programs face unique challenges in access, utilization, and demand due to frequent population movement between and within localities, sprawling informal settlements, and population heterogeneity. We conducted a cross-sectional household survey in the Western Area Urban district, Sierra Leone, stratified by slums and non-slums as defined by the United Nations Development Program. Methods Based on data from child vaccination cards, weighted vaccination coverage was estimated from 450 children aged 12-36 months (household response rate = 83%). Interviews with 444 caregivers identified factors related to accessing routine immunization services. Factors associated with coverage in bivariate analyses were examined in multivariate models using backward stepwise procedure. Results Coverage was similar in slums and non-slums for 3-doses of diphtheria-tetanus-pertussis-hepatitis B-Haemophilus influenzae type b (pentavalent) vaccine (86%, 92%) and second dose of measles vaccine (33%, 29%). In a multivariate logistic regression model, incomplete pentavalent vaccine coverage was associated with being second or later birth order (adjusted odds ratio (aOR) = 4.5 (95% confidence interval (CI) = 1.4-14.9), a household member not approving of childhood vaccinations (aOR = 7.55, 95% CI = 1.52-37.38), self-reported delay of child receiving recommended vaccinations (aOR = 4.8, 95% CI = 1.0-22.1), and living in a household made of natural or rudimentary materials (aOR = 3.5, 95% CI = 1.2-10.6). Overall, the majority (>70%) of caregivers reported occupation as petty trader and

Background HIV infection is a growing public health problem in Sierra Leone and the wider West Africa region. The countrywide HIV prevalence was estimated at 1.7% (67,000 people), with less than 30% receiving life-saving ART in 2016. Thus, HIV-infected patients tend to present to health facilities late, with high mortality risk. Methods We conducted a prospective study of HIV inpatients aged ≥15 years at Connaught Hospital in Freetown—the main referral hospital in Sierra Leone—from July through September 2017, to assess associated factors and predictors of HIV-related mortality. Results One hundred seventy-three HIV inpatients were included, accounting for 14.2% (173/1221) of all hospital admissions during the study period. The majority were female (59.5%, 70/173), median age was 34 years, with 51.4% (89/173) of them diagnosed with HIV infection for the first time during the current hospitalization. The most common admitting diagnoses were anemia (48%, 84/173), tuberculosis (24.3%, 42/173), pneumonia (17.3%, 30/173) and diarrheal illness (15.0%, 26/173). CD4 count was obtained in 64.7% (112/173) of patients, with median value of 87 cells/μL (IQR 25–266), and was further staged as severe immunosuppression: CD4 p = 0.04) and focal limb weakness (p = 0.04); alcohol use (p = 0.01); jaundice (p = 0.02); cerebral toxoplasmosis (p = 0.01); and tuberculosis (p = 0.04) were significantly associated with mortality; however, only jaundice (AOR 0.11, 95% CI [0.02–0.65]; p = 0.01) emerged as an independent predictor of mortality. Conclusion HIV-infected patients account for a substantial proportion of admissions at Connaught Hospital, with a high morbidity and in-hospital mortality burden. These findings necessitate the implementation of specific measures to enhance early HIV diagnosis and expand treatment access to all HIV-infected patients in Sierra Leone.

Background: Sierra Leone was severely affected by the 2014/2015 Ebola outbreak which is likely to have had longer term repercussions on the health system including on paediatric morbidity and mortality. We thus assessed under-five morbidity and mortality for malaria, acute respiratory Infections (ARI)/pneumonia, watery diarrhoea and measles during the post-Ebola period in Sierra Leone and compared this with the pre- and intra-Ebola periods. Methods: This was a retrospective cross-sectional study using program data from the District Health Information system (DHIS2) and sourced from 14 districts in Sierra Leone. It included under-five children from 1,250 health facilities country-wide. Study periods included: before (June 1 st, 2013-April 30 th, 2014); during (June 1 st, 2014-April 30 th, 2015); and after Ebola (June 1 st, 2016-April 30 th, 2017). Results: Malaria, ARI/pneumonia and diarrhoea consultations declined during Ebola but recovered to pre-Ebola levels in the post-Ebola period. During the post-Ebola period, there was a highly significant reduction in case-fatality for the first three morbidities compared to the pre-Ebola period (PP Conclusions: Consultations for under-five children at health facilities in Sierra Leone recovered to pre-Ebola levels and case-fatality for common childhood illnesses declined significantly. This is a change for the better. However, the high level of reported measles cases in the post-Ebola period indicates gaps in immune status and needs focused attention.

Background All African countries recommend 3 doses of hepatitis B vaccine (HepB3), most at 6, 10, and 14 weeks of age, but few recommend a HepB birth dose (HepB-BD). To evaluate the role of mother to child transmission (MTCT) of hepatitis B virus (HBV) with the 3 dose HepB schedule, we conducted a serosurvey in Sierra Leone among 4–30 month old children and their mothers, and 5–9 year old children. Methods We conducted a multi-stage cluster survey in 3 districts. Enumeration areas (EA) were selected by probability proportional to size, followed by random selection of eligible households to identify 1901 children per age group. We tested all participants for HBV surface antigen (HBsAg) by rapid test and collected children’s HepB vaccination history. Serum from all HBsAg+ mothers and 1 HBsAg- mother per EA was tested for total antibodies to HBV core antigen (anti-HBc), HBsAg, HBV e antigen (HBeAg), and HBV DNA. We assessed the association of HBsAg prevalence with HepB vaccination and maternal HBV markers. Results Among 1889 children aged 4–30 months, 20 (1.3%; 95% CI:0.8%–2.0%) were HBsAg+; HepB3 coverage was 85%. Among 2025 children aged 5–9 years, 32 (1.6%; 95% CI:1.1%–2.3%) were HBsAg+; HepB3 coverage was 77%. Of HBsAg+ children, 70% (14/20) of younger and 56% (18/32) of older children received HepB3. Among 1776 mothers of younger children, 169 (9.8%; 95% CI:8.1%–11.7%) were HBsAg+. HBsAg prevalence for children with HBsAg+ mothers was 5.9% (10/169) and 0.7% (6/1605) for those with HBsAg- mothers (adjusted OR=10.6 [95% CI:2.8–40.8]). Of 139 HBsAg+ mothers, 13 (9%) were HBeAg+ and 126 (91%) had detectable HBV DNA. Maternal HBsAg (p=0.026), HBeAg (p< 0.001), and HBV DNA levels ≥ 200,000 IU/mL (p< 0.001) were associated with HBsAg positivity in younger children (Table 1). Table 1: Association of maternal HBV serological and molecular markers with HBsAg positivity in 4–30-month old children — Sierra Leone hepatitis B serosurvey, 2018 Conclusion HBsAg prevalence was much lower among children than among mothers, for whom HepB would not have been available, indicating that routine infant HepB vaccination has substantially lowered HBV burden. Increasing HepB3 coverage could further reduce HBsAg prevalence among children. As HBsAg positivity in young children was strongly associated with having a mother with active HBV infection and > 50% of HBsAg+ children received HepB3, HepB-BD is needed to prevent MTCT of HBV and chronic HBV infections in children. Disclosures All Authors: No reported disclosures

Following the piloting of VaxTrac, an electronic immunization registry (EIR), we conducted a rapid assessment in November-December 2017 to evaluate the use of the EIR in 10 health facilities in Western Area Urban district in Sierra Leone [1]. In this data-in-brief report, we provide additional descriptive data from the assessment of the VaxTrac EIR in Sierra Leone. The assessment comprised aggregate data on vaccine doses administered that were abstracted from VaxTrac and three paper-based sources (daily tally sheets, register of children under the age of 2 years, and a summary form of doses administered). Data were abstracted for the following six vaccine doses in the immunization schedule in Sierra Leone: 1) Bacillus Calmette–Guérin vaccine, 2) first dose of pentavalent vaccine, 3) second dose of pentavalent vaccine, 4) third dose of pentavalent vaccine, 5) first dose of measles-containing vaccine, and 6) second dose of measles-containing vaccine. We descriptively analysed the abstracted data to examine the congruity between VaxTrac records and the three paper-based sources. Bar graphs were generated to visually depict the variations in number of administered vaccine doses by data source for each health facility. We provide the aggregated data for each vaccine dose abstracted by data source from each health facility as supplemental material (Excel file). The supplementary data reveal patterns in the congruity of vaccine doses captured that have implications for policy and programmatic decisions regarding the use of VaxTrac and other similar EIRs in low resource urban settings.

A decision support system for district-level disease surveillance was piloted with the Port Loko District Health Management Team in Sierra Leone. Through a qualitative evaluation, the study explores the impact of the system on disease surveillance workflows. Results indicate that the system aided decision making for operational tasks, and reduced the time taken to analyze and report surveillance data. In addition, the study discusses the challenges of deploying a pilot system during the Ebola recovery in Sierra Leone, and proposes a high-level architecture for a modular, interoperable decision support system for disease surveillance for public health decision makers in low-resource health systems.

Background: The recent Ebola Virus Disease (EVD) outbreaks have revealed the need for field-deployable tools that can be adapted to the heterogeneous spectrum of the disease across widely varying environments and resources. We previously introduced an mHealth approach for EVD prognostication, where machine learning models were integrated into a mobile application (app) and could be updated with new data. Here, we build upon that approach by generating a new family of models derived from the largest published EVD dataset to date and validated on two independent datasets. These models were incorporated into an app, "Ebola Care Guidelines", that calculates prognosis from the patient data available at triage. The app highlights the signs/symptoms with the largest contribution to the risk of death and provides simplified and targeted access to the recommended supportive care guidelines from WHO. Methods and Findings: We generated multivariate logistic regression models from 470 patients admitted to five Ebola treatment units (ETUs) in Liberia and Sierra Leone during the 2014-16 outbreak. We handled missing data by multiple imputation and validated the models with two independent datasets from Sierra Leone. Consistent with previous results, viral load and age were the most important predictors of death. We found that observational wellness assessments by experienced health care providers have high predictive power and are able to explain most of the variation due to individual signs/symptoms. We generated a parsimonious model that included (in addition to viral load and age) body temperature, bleeding, jaundice, weakness, and confusion recorded during triage. We also constructed fallback models for when variables in the parsimonious model are unavailable. Conclusions: This work shows how the integration of prognostic models with mHealth technology can create dynamic and rapidly deployable clinical management support tools that facilitate tailored access to large bodies of medical information. The Ebola Care Guidelines app was created with a novel clinical decision support framework to develop and update guidelines apps quickly as new data and models became available. The performance of the parsimonious model is very similar to that of the models including the wellness scale from experienced health care workers, suggesting that rigorous machine learning approaches can replicate experienced clinical intuition, and could thus be useful when such expertise is unavailable.

Deficiencies in transportation and communication, low frontline staff morale, and mistrust among communities, among other operational challenges, greatly limited Ebola case investigation in Sierra Leone. Recommendations for future outbreaks: (1) timely compensation for frontline staff, (2) context-appropriate transportation and communication resources, (3) systematic data collection, storage, and retrieval systems, (4) sound linkages between frontline staff and communities, (5) daily meetings between frontline staff and epidemiologists, (6) clear and appropriate operational chain of command, and (7) political and funding support to operational agencies., The Ebola virus disease (EVD) epidemic that hit West Africa in 2013 was the worst outbreak of EVD in recorded history. While much has been published regarding the international and national-level EVD responses, there is a dearth of literature on district-level coordination and operational structures, successes, and failures. This article seeks to understand how the EVD response unfolded at the district level, namely the challenges to operationalizing EVD surveillance over the course of the outbreak in Port Loko and Kambia districts of Sierra Leone. We present here GOAL Global's understanding of the fundamental challenges to case investigation operations during the EVD response, including environmental and infrastructural, sociocultural, and political and organizational challenges, with insight complemented by a survey of 42 case investigators. Major challenges included deficiencies in transportation and communication resources, low morale and fatigue among case investigators, mismanagement of data, mistrust among communities, and leadership challenges. Without addressing these operational challenges, technical surveillance solutions are difficult to implement and hold limited relevance, due to the poor quality and quantity of data being collected. The low prioritization of operational needs came at a high cost. To mediate this, GOAL addressed these operational challenges by acquiring critical transportation and communication resources to facilitate case investigation, including vehicles, boats, fuel, drivers, phones, and closed user groups; addressing fatigue and low morale by hiring more case investigators, making timely payments, arranging for time off, and providing meals and personal protective equipment; improving data tracking efforts through standard operating procedures, training, and mentorship to build higher-quality case histories and make it easier to access information; strengthening trust in communities by ensuring familiarity and consistency of case investigators; and improving operational leadership challenges through meetings and regular coordination, establishing an active surveillance strategy in Port Loko, and conducting an after-action review. Resolving or addressing these challenges was of primary importance, and requisite for the implementation of technical epidemiological complements to EVD case investigation.

The first confirmed case of Ebola virus disease (Ebola) in Sierra Leone related to the ongoing epidemic in West Africa occurred in May 2014, and the outbreak quickly spread. To date, 8,704 Ebola cases and 3,955 Ebola deaths have been confirmed in Sierra Leone. The first Ebola treatment units (ETUs) in Sierra Leone were established in the eastern districts of Kenema and Kailahun, where the first Ebola cases were detected, and these districts were also the first to control the epidemic. By September and October 2014, districts in the western and northern provinces, including Bombali, had the highest case counts, but additional ETUs outside of the eastern province were not operational for weeks to months. Bombali became one of the most heavily affected districts in Sierra Leone, with 873 confirmed patients with Ebola during July-November 2014. The first ETU and laboratory in Bombali District were established in late November and early December 2014, respectively. T- evaluate the impact of the first ETU and laboratory becoming operational in Bombali on outbreak control, the Bombali Ebola surveillance team assessed epidemiologic indicators before and after the establishment of the first ETU and laboratory in Bombali. After the establishment of the ETU and laboratory, the interval from symptom onset to laboratory result and from specimen collection to laboratory result decreased. By providing treatment to Ebola patients and isolating contagious persons to halt ongoing community transmission, ETUs play a critical role in breaking chains of transmission and preventing uncontrolled spread of Ebola (4). Prioritizing and expediting the establishment of an ETU and laboratory by pre-positioning resources needed to provide capacity for isolation, testing, and treatment of Ebola are essential aspects of pre-outbreak planning.

Background In the largest Ebola virus disease (EVD) outbreak in history, nosocomial transmission of EVD increased spread of the disease. We report on 2 instances in Sierra Leone where patients unknowingly infected with EVD were admitted to a general hospital ward (1 pediatric ward and 1 maternity ward), exposing health care workers, caregivers, and other patients to EVD. Both patients died on the general wards, and were later confirmed as being infected with EVD. We initiated contact tracing and assessed risk factors for secondary infections to guide containment recommendations. Methods We reviewed medical records to establish the index patients' symptom onset. Health care workers, patients, and caregivers were interviewed to determine exposures and personal protective equipment (PPE) use. Contacts were monitored daily for EVD symptoms. Those who experienced EVD symptoms were isolated and tested. Results Eighty-two contacts were identified: 64 health care workers, 7 caregivers, 4 patients, 4 newborns, and 3 children of patients. Seven contacts became symptomatic and tested positive for EVD: 2 health care workers (1 nurse and 1 hospital cleaner), 2 caregivers, 2 newborns, and 1 patient. The infected nurse placed an intravenous catheter in the pediatric index patient with only short gloves PPE and the hospital cleaner cleaned the operating room of the maternity ward index patient wearing short gloves PPE. The maternity ward index patient's caregiver and newborn were exposed to her body fluids. The infected patient and her newborn shared the ward and latrine with the maternity ward index patient. Hospital staff members did not use adequate PPE. Caregivers were not offered PPE. Conclusions Delayed recognition of EVD and inadequate PPE likely led to exposures and secondary infections. Earlier recognition of EVD and adequate PPE might have reduced direct contact with body fluids. Limiting nonhealth-care worker contact, improving access to PPE, and enhancing screening methods for pregnant women, children, and inpatients may help decrease EVD transmission in general health care settings.