Case-area targeted interventions during a large-scale cholera epidemic: A prospective cohort study in Northeast Nigeria.

BACKGROUND: Cholera outbreaks are on the rise globally, with conflict-affected settings particularly at risk. Case-area targeted interventions (CATIs), a strategy whereby teams provide a package of interventions to case and neighboring households within a predefined "ring," are increasingly employed in cholera responses. However, evidence on their ability to attenuate incidence is limited. METHODS AND FINDINGS: We conducted a prospective observational cohort study in 3 conflict-affected states in Nigeria in 2021. Enumerators within rapid response teams observed CATI implementation during a cholera outbreak and collected data on household demographics; existing water, sanitation, and hygiene (WASH) infrastructure; and CATI interventions. Descriptive statistics showed that CATIs were delivered to 46,864 case and neighbor households, with 80.0% of cases and 33.5% of neighbors receiving all intended supplies and activities, in a context with operational challenges of population density, supply stock outs, and security constraints. We then applied prospective Poisson space-time scan statistics (STSS) across 3 models for each state: (1) an unadjusted model with case and population data; (2) an environmentally adjusted model adjusting for distance to cholera treatment centers and existing WASH infrastructure (improved water source, improved latrine, and handwashing station); and (3) a fully adjusted model adjusting for environmental and CATI variables (supply of Aquatabs and soap, hygiene promotion, bedding and latrine disinfection activities, ring coverage, and response timeliness). We ran the STSS each day of our study period to evaluate the space-time dynamics of the cholera outbreaks. Compared to the unadjusted model, significant cholera clustering was attenuated in the environmentally adjusted model (from 572 to 18 clusters) but there was still risk of cholera transmission. Two states still yielded significant clusters (range 8-10 total clusters, relative risk of 2.2-5.5, 16.6-19.9 day duration, including 11.1-56.8 cholera cases). Cholera clustering was completely attenuated in the fully adjusted model, with no significant anomalous clusters across time and space. Associated measures including quantity, relative risk, significance, likelihood of recurrence, size, and duration of clusters reinforced the results. Key limitations include selection bias, remote data monitoring, and the lack of a control group. CONCLUSIONS: CATIs were associated with significant reductions in cholera clustering in Northeast Nigeria despite operational challenges. Our results provide a strong justification for rapid implementation and scale-up CATIs in cholera-response, particularly in conflict settings where WASH access is often limited.

COVID-19 epidemiology and changes in health service utilization in Azraq and Zaatari refugee camps in Jordan: A retrospective cohort study.

BACKGROUND: The effects of the Coronavirus Disease 2019 (COVID-19) pandemic in humanitarian contexts are not well understood. Specific vulnerabilities in such settings raised concerns about the ability to respond and maintain essential health services. This study describes the epidemiology of COVID-19 in Azraq and Zaatari refugee camps in Jordan (population: 37,932 and 79,034, respectively) and evaluates changes in routine health services during the COVID-19 pandemic. METHODS AND FINDINGS: We calculate the descriptive statistics of COVID-19 cases in the United Nations High Commissioner for Refugees (UNHCR)'s linelist and adjusted odds ratios (aORs) for selected outcomes. We evaluate the changes in health services using monthly routine data from UNHCR's health information system (HIS; January 2018 to March 2021) and apply interrupted time series analysis with a generalized additive model and negative binomial (NB) distribution, accounting for long-term trends and seasonality, reporting results as incidence rate ratios (IRRs). COVID-19 cases were first reported on September 8 and September 13, 2020 in Azraq and Zaatari camps, respectively, 6 months after the first case in Jordan. Incidence rates (IRs) were lower in camps than neighboring governorates (by 37.6% in Azraq (IRR: 0.624, 95% confidence interval [CI]: [0.584 to 0.666], p-value: <0.001) and 40.2% in Zaatari (IRR: 0.598, 95% CI: [0.570, 0.629], p-value: <0.001)) and lower than Jordan (by 59.7% in Azraq (IRR: 0.403, 95% CI: [0.378 to 0.430], p-value: <0.001) and by 63.3% in Zaatari (IRR: 0.367, 95% CI: [0.350 to 0.385], p-value: <0.001)). Characteristics of cases and risk factors for negative disease outcomes were consistent with increasing COVID-19 evidence. The following health services reported an immediate decline during the first year of COVID-19: healthcare utilization (by 32% in Azraq (IRR: 0.680, 95% CI [0.549 to 0.843], p-value < 0.001) and by 24.2% in Zaatari (IRR: 0.758, 95% CI [0.577 to 0.995], p-value = 0.046)); consultations for respiratory tract infections (RTIs; by 25.1% in Azraq (IRR: 0.749, 95% CI: [0.596 to 0.940], p-value = 0.013 and by 37.5% in Zaatari (IRR: 0.625, 95% CI: [0.461 to 0.849], p-value = 0.003)); and family planning (new and repeat family planning consultations decreased by 47.4% in Azraq (IRR: 0.526, 95% CI: [0.376 to 0.736], p-value = <0.001) and 47.6% in Zaatari (IRR: 0.524, 95% CI: [0.312 to 0.878], p-value = 0.014)). Maternal and child health services as well as noncommunicable diseases did not show major changes compared to pre-COVID-19 period. Conducting interrupted time series analyses in volatile settings such refugee camps can be challenging as it may be difficult to meet some analytical assumptions and to mitigate threats to validity. The main limitation of this study relates therefore to possible unmeasured confounding. CONCLUSIONS: COVID-19 transmission was lower in camps than outside of camps. Refugees may have been affected from external transmission, rather than driving it. Various types of health services were affected differently, but disruptions appear to have been limited in the 2 camps compared to other noncamp settings. These insights into Jordan's refugee camps during the first year of the COVID-19 pandemic set the stage for follow-up research to investigate how infection susceptibility evolved over time, as well as which mitigation strategies were more successful and accepted.

COVID-19 epidemiology and changes in health service utilization in Uganda's refugee settlements during the first year of the pandemic.

BACKGROUND: The COVID-19 pandemic has been characterized by multiple waves with varying rates of transmission affecting countries at different times and magnitudes. Forced displacement settings were considered particularly at risk due to pre-existing vulnerabilities. Yet, the effects of COVID-19 in refugee settings are not well understood. In this study, we report on the epidemiology of COVID-19 cases in Uganda's refugee settlement regions of West Nile, Center and South, and evaluate how health service utilization changed during the first year of the pandemic. METHODS: We calculate descriptive statistics, testing rates, and incidence rates of COVID-19 cases in UNHCR's line list and adjusted odds ratios for selected outcomes. We evaluate the changes in health services using monthly routine data from UNHCR's health information system (January 2017 to March 2021) and apply interrupted time series analysis with a generalized additive model and negative binomial distribution, accounting for long-term trends and seasonality, reporting results as incidence rate ratios. FINDINGS: The first COVID-19 case was registered in Uganda on March 20, 2020, and among refugees two months later on May 22, 2020 in Adjumani settlement. Incidence rates were higher at national level for the general population compared to refugees by region and overall. Testing capacity in the settlements was lower compared to the national level. Characteristics of COVID-19 cases among refugees in Uganda seem to align with the global epidemiology of COVID-19. Only hospitalization rate was higher than globally reported. The indirect effects of COVID-19 on routine health services and outcomes appear quite consistent across regions. Maternal and child routine and preventative health services seem to have been less affected by COVID-19 than consultations for acute conditions. All regions reported a decrease in consultations for respiratory tract infections. INTERPRETATION: COVID-19 transmission seemed lower in settlement regions than the national average, but so was testing capacity. Disruptions to health services were limited, and mainly affected consultations for acute conditions. This study, focusing on the first year of the pandemic, warrants follow-up research to investigate how susceptibility evolved over time, and how and whether health services could be maintained.

"It's normal to be afraid": attacks on healthcare in Ouaka, Haute-Kotto, and Vakaga prefectures of the Central African Republic, 2016-2020.

INTRODUCTION: Attacks on healthcare have further weakened the already fragile health system in the Central African Republic. We investigated attacks on healthcare in three conflict-affected prefectures-Ouaka, Haute-Kotto, and Vakaga-from 2016 to 2020. The study aim was to gain an in-depth understanding of the immediate and long-term effects of attacks on healthcare workers, facilities, supply chain, quality of care, and other components of the health system. We provide a qualitative description of the incidents, assess their impacts, identify mitigation efforts, and discuss challenges to recovery. METHODS: We used purposive and snowball sampling to identify participants in the study. Semi-structured key informant interviews were conducted with administrative and health authorities, front-line personnel, and staff of non-governmental organizations. Interviews were done in Sango, French, or English. Recorded interviews were transcribed and notes taken for non-recorded interviews. Transcripts and notes were analyzed using inductive coding, allowing participant responses to guide findings. RESULTS: Of 126 attacks identified over the study period, 36 key informants discussed 39 attacks. Attacks included killings, physical and sexual assault, abductions, arson, shelling with grenades, pillage, occupations, and verbal threats. The violence led to extended closures and debilitating shortages in healthcare services, disproportionately affecting vulnerable populations, such as children under five, or people who are elderly, chronically ill, or displaced. Healthcare workers faced psychological trauma and moral injury from repeated attacks and the inability to provide adequate care. Personnel and communities made enormous efforts to mitigate impacts, and advocate for assistance. They were limited by failed reporting mechanisms, ongoing insecurity, persistent lack of resources and external support. CONCLUSION: Effective strategies to safeguard healthcare from violence exist but better support for communities and health workers is essential, including measures to assess needs, enhance security, and facilitate recovery by quickly rebuilding, resupplying, and re-staffing facilities. CAR's government, international organizations, and donors should make concerted efforts to improve reporting mechanisms and end impunity for perpetrators. Their investment in community organizations and long-term health system support, especially for health worker training, salaries, and psychosocial care, are vital steps towards building resilience against and mitigating the impacts of attacks on healthcare.

Strengthening community-based surveillance: lessons learned from the 2018-2020 Democratic Republic of Congo (DRC) Ebola outbreak.

INTRODUCTION: There has been little documentation of the large networks of community health workers that contributed to Ebola Virus Disease (EVD) surveillance during the 2018-2020 Democratic Republic of Congo (DRC) epidemic in the form of community-based surveillance (CBS). These networks, comprised entirely of local community members, were a critical and mostly unrecognized factor in ending the epidemic. Challenges with collection, compilation, and analysis of CBS data have made their contribution difficult to quantify. From November 2019 to March 2020, the DRC Ministry of Health (MoH), the World Health Organization (WHO), and Médecins Sans Frontières (MSF) worked with communities to strengthen existing EVD CBS in two key health areas in Ituri Province, DRC. We describe CBS strengthening activities, detail collaboration with communities and present results of these efforts. We also provide lessons learned to inform future outbreak responses. METHODS: As the foundation of CBS, community health workers (CHW) completed training to identify and report patients who met the EVD alert definitions. Alerts were investigated and if validated, the patient was sent for isolation and EVD testing. Community members provided early and ongoing input to the CBS system. We established a predefined ratio of community- elected CHW, allocated by population, to assure equal and adequate coverage across areas. Strong performing CHW or local leaders managed the CHWs, providing a robust supervision structure. We made additional efforts to integrate rural villages, revised tools to lighten the reporting burden and focused analysis on key indicators. Phased roll-out of activities ensured time for community discussion and approval. An integrated treatment center (ITC) combined EVD testing and isolation with free primary health care (PHC), referral services, and an ambulance network. RESULTS: A total of 247 CHW and supervisors completed training. CBS had a retention rate of 94.3% (n = 233) with an average daily reporting rate of 97.4% (range 75.0-100.0%). Local chiefs and community leaders participated in activities from the early stages. Community feedback, including recommendations to add additional CHW, run separate meetings in rural villages, and strengthen PHC services, improved system coverage and performance. Of 6,711 community referrals made, 98.1% (n = 6,583) were classified as alerts. Of the alerts, 97.4% (n = 6,410) were investigated and 3.0% (n = 190) were validated. Of the community referrals, 73.1% (n = 4,905) arrived for care at the ITC. The contribution of CBS to total alerts in the surveillance system increased from an average of 47.3% in the four weeks prior to system strengthening to 69.0% after. In one of the two health areas, insufficient reporting in rural villages suggested inadequate coverage, with 8.3% of the total population contributing 6.1% of alerts. DISCUSSION: CBS demonstrated the capacity of community networks to improve early disease detection and expand access to healthcare. Early and consistent community involvement proved vital to CBS, as measured by system performance, local acceptance of EVD activities, and health service provision. The CBS system had high reporting rates, number of alerts signaled, proportion of alerts investigated, and proportion of community referrals that arrived for care. The change in contribution of CBS to total alerts may have been due in part to system strengthening, but also to the expansion in the EVD suspect case definition. Provision of PHC, referral services, and an ambulance network linked EVD response activities to the existing health system and facilitated CBS performance. More importantly, these activities provided a continuum of care that addressed community prioritized health needs. The involvement of local health promotion teams was vital to the CBS and other EVD and PHC activities. Lessons learned include the importance of early and consistent community involvement in surveillance activities and the recommendation to assure local representation in leadership positions.

The blast wounded of Raqqa, Syria: observational results from an MSF-supported district hospital.

BACKGROUND: In June 2017, the U.S.-backed Syrian Democratic Forces (SDF) launched a military operation to retake the city of Raqqa, Syria, from the so-called Islamic State. The city population incurred mass numbers of wounded. In the post-offensive period, the population returned to a city (Raqqa) contaminated with improvised explosive devices (IEDs) and explosive remnants of war (ERWs), resulting in a second wave of wounded patients. Médecins Sans Frontières (MSF) supported a hospital in Tal-Abyad (north of Raqqa) and scaled up operations in response to this crisis. We describe the cohort of blast-wounded cases admitted to this hospital in order help prepare future humanitarian responses. METHODS: We retrospectively extracted data from clinical charts in the MSF-supported hospital. We included all new admissions for blast-wounded patients with key data elements documented. We performed comparative analyses from the offensive period (June 6, 2017 to October 17, 2017) and the post-offensive period (October 18, 2017 to March 17, 2018). RESULTS: We included 322 blast related injuries. There were more than twice the number of cases with blast injuries in the post-offensive period as the offensive period (225 vs. 97, p = <.001). The offensive period saw a significantly higher proportion of female patients (32.0%, n = 31 vs. 11.1%, n = 25, p < 0.001) and paediatric patients (42.3%, n = 41 vs 24.9%, n = 56, p = 0.002). Blast-injured patients in the post-offensive period included more cases with multiple traumatic injuries (65.8%, n = 148 vs. 39.2%, n = 38, p < 0.001). The treatment of the blast-injured cases in the post-offensive period was more labor intensive with those patients having a higher median number of interventions (2 vs 1, p = <0.001) and higher median number of days in hospital (7 vs 4, p = < 0.001). CONCLUSIONS: In the wake of the Raqqa offensive, the MSF-supported district hospital received an unpredicted second, larger and more complex wave of blast-wounded cases as the population returned to a city strewn with IEDs and ERWs. These findings indicate the high risk of traumatic injury to the population even after warring factions have vacated conflict zones. Medical humanitarian actors should be prepared for a continued and scaled up response in areas known to be highly contaminated with explosive ordnance.