A decade of Boko Haram insurgency brought conflict, mass displacement, and the destruction of basic infrastructure to Northeast Nigeria. Over 2 million internally displaced persons (IDPs) suffering from lack of basic hygienic conditions, malnutrition, and disease live in camps or are hosted by communities in the region, where the conflict has contributed to a massive destruction of health facilities. Infectious diseases like tuberculosis (TB) and HIV are especially difficult to address under such conditions, and IDPs are vulnerable to both. Although international investment supports some health interventions among IDPs, locally sourced solutions are lacking. We evaluated the impact of an active case finding (ACF) intervention for TB and testing for HIV in IDP communities and provided linkages to treatment in 3 states in Northeast Nigeria: Adamawa, Gombe, and Yobe. The ACF was a component of a multistakeholder collaboration between government, civil society, and IDP community partners, which also included mapping of IDP populations and health services, supporting existing health facilities, developing a sample transport network, and organizing community outreach to support ACF. Between July 1, 2017, and June 30, 2018, ACF was conducted in 26 IDP camps and 963 host communities in 12 local government areas (LGAs) with another 12 LGAs serving as a control population. Outreach efforts resulted in 283,556 screening encounters. We screened 13,316 children and 270,239 adults including 150,303 (55.6%) adult women and 119,936 (44.4%) men. We tested 17,134 people for TB and 58,976 for HIV. We detected 1,423 people with TB and 874 people living with HIV. We linked 1,419 people to anti-TB treatment and 874 people with HIV to antiretroviral treatment sites. We evaluated additional TB cases notified and conducted comparative interrupted time series (ITS) analyses to assess the impact of ACF on TB case notifications. Through our efforts, bacteriologically confirmed TB notifications increased by 847 (45.1%) during the intervention period, with IDPs accounting for 46% of these notifications. The ITS analyses detected significant positive postintervention trend differences in TB notification rates between the intervention and control areas in all forms TB (incidence rate ratio [IRR] = 1.136 [1.072, 1.204]; p ≤ 0.001) and bacteriologically positive TB (IRR = 1.141 [1.058, 1.229]; p = 0.001). The TB prevalence (502 cases per 100,000 screening encounters) was 10 times the national notification rates and 2.3 times the estimated national incidence. Rates of HIV infection (1.8%) were higher than HIV prevalence estimates in the 3 states. Our study was limited by the nonrandom selection of LGAs. Furthermore, we did not use sensitive screening tools like chest X-ray and likely missed people with TB. In this study, we observed a burden of TB in IDP populations of Northeast Nigeria many times higher than national rates and HIV rates higher than state level estimates. The impact of the intervention showed that ACF can greatly increase TB case notifications. Engaging IDP communities, local governments, and civil society organizations is essential to ensuring the success of interventions targeting TB and HIV, and such approaches can provide sustained solutions to these and other health crises among vulnerable populations.

The Snakebite Treatment and Research Hospital (SBTRH) is a leading centre for snakebite envenoming care and research in sub-Saharan Africa, treating over 2500 snakebite patients annually. Despite routine data collection, routine analyses are seldom conducted to identify trends or guide clinical practices. This study retrospectively analyzes 1022 snakebite cases at SBTRH from January to June 2024. Most patients were adults (62%) and were predominantly male (72%). Key factors such as age, sex, and time between bite and hospital presentation were associated with outcomes, including recovery, amputation, debridement, and death. Adult males who took more than four hours to arrive to hospital were identified as a high-risk group for poor outcomes. Using patient characteristics, an XGBoost model was developed and was compared to Random Forest and logistic regression models. In general, all models had high positive predictive value and low sensitivity, meaning that if they predicted a patient to experience amputation, debridement, or death, that patient almost always actually experienced amputation, debridement, or death; however, most models rarely made this prediction. The XGBoost model with all features was optimal, given that it had both a high positive predictive value and relatively high sensitivity. This may be of significance to resource-limited settings like SBTRH, where antivenoms can be scarce; however, more research is needed to build better predictive models. These findings underscore the need for targeted interventions for high-risk groups, and further research and integration of machine-learning-driven decision support tools in low-resource-limited clinical settings.

Background: Nomadic populations are frequently isolated and vulnerable to diseases including tuberculosis (TB) and human immunodeficiency virus (HIV) due to limited access to health-related information and services, poverty, and social exclusion. We designed and implemented community-driven and -based outreach for TB and HIV based on the results of a TB knowledge, attitude, and practices (KAP) survey in Adamawa, Nigeria. Methods: We conducted a cross-sectional study on KAP among nomads using an adapted WHO survey. A TB and HIV community-level active case-finding intervention among nomadic populations was planned and delivered based on the KAP survey results. Results: Among 81 respondents, 26 (32.1%) knew what caused TB. More than 60% reported no health facilities in their community. Radio and healthcare workers were primary sources of information on health. Using community input, we developed and broadcasted radio jingles to sensitize people to TB services. Outreach initiatives led to the verbal screening of 61,891 individuals and 306 were diagnosed with TB. Additionally, 4489 people underwent HIV testing, and 69 were HIV-positive, all of whom were linked to treatment. Conclusions: The results of KAP surveys can inform the design of evidence-based TB and HIV community-driven and -based case-finding interventions in rural Nigeria among nomadic populations.

The Snakebite Treatment and Research Hospital (SBTRH) is a leading center for snakebite envenoming care and research in sub-Saharan Africa, treating over 2,500 snakebite patients annually. Despite routine data collection, routine analyses are seldom conducted to identify trends or guide clinical practices. This study retrospectively analyzed 1,022 snakebite cases at SBTRH from January to June 2024. Most patients were adults (62%) and were predominantly male (72%). Key factors such as age, sex, and time between bite and hospital presentation were associated with outcomes, including recovery, amputation, debridement, and death. Adult males who took more than four hours to arrive to hospital were identified as a high-risk group for poor outcomes. Using patient characteristics, an XGBoost model was developed, which achieved an area under the received-operator curve (AUROC) of 0.484 with all patient characteristics, and 0.529 when using a simplified subset of characteristics. Model performance was compared to random-forest and logistic regression models. In general, for all models, performance tended to increase slightly when using a simplified set of features, which may be of significance to resource-limited settings like SBTRH, however, more research is needed to build more robust models. These findings underscore the need for targeted interventions for high-risk groups, optimization of antivenom administration strategies and integration of machine learning-driven decision support tools in low-resource-limited clinical settings.

Background Paediatric patients of snakebite envenoming are particularly vulnerable to severe complications, however, risk factors for mortality remain largely unexamined in pediatric populations, particularly within rural Nigerian settings, where snakebite envenoming is prevalent. Methods A retrospective study was conducted using medical records at the Snakebite Treatment and Research Hospital (SBTRH) in Northeastern Nigeria, including paediatric patients aged 0 through 17 who presented with a snakebite from January through December 2024. We used descriptive statistics to summarize patient characteristics grouped by outcome at the end of hospitalization (death versus discharge alive). Subsequently, we estimated cumulative survival probability over time using Kaplan-Meier curves and identified predictors of mortality using multivariable Cox proportional hazards models. Results SBTRH managed 2,192 snakebite patients between 1 January and 31 December 2024, out of which 723 paediatric patients were included in analyses; 702 of these patients were discharged alive, while 21 died in hospital. Those who took four hours or more to arrive at the hospital after being bitten were more likely to die at hospital discharge compared to those who arrived in less than four hours (hazard ratio (HR) = 5.87, 95% CI = 1.15-29.95). Further, those who were not given antivenom were more likely to die at hospital discharge than those who were given antivenom (HR = 10.07, 95% CI = 3.89-26.07). Conclusion This study identifies delayed hospital presentation and lack of antivenom administration among key predictors of in-hospital mortality among paediatric snakebite patients in Northeastern Nigeria. These findings underscore the need for urgent public health interventions, including the strengthening of antivenom supply chains, eliminating financial barriers to treatment, and the implementation of targeted educational campaigns aimed at early care-seeking behaviour.

Background: Nigeria accounts for a significant share of global maternal mortality, and HIV remains a public health threat. Gombe State in northeastern Nigeria contends with profound barriers to healthcare access. This study evaluated the effectiveness of a community-based intervention using trained Community Health Workers (CHWs) to improve early identification of pregnancy and linkage to Antenatal Care (ANC) and HIV services. Methods: A quasi-experimental design was employed across six local government areas (LGAs) from January 2020 to June 2021. Three LGAs were randomly assigned to the intervention, where CHWs conducted home visits for pregnancy identification, health education, and referral facilitation. Three control LGAs received standard facility-based care. Data were collected via household surveys and facility records at baseline and endline. Analysis included Difference-in-Differences (DiD) estimation to determine the net intervention effect. Results: The intervention group showed significant improvements compared to the control. Early pregnancy identification (<20 weeks) increased from 45% to 78% (DiD: +29 pp, p<0.001). Attendance of at least one ANC visit rose from 58% to 85% (DiD: +22 pp, p<0.001), reducing the coverage gap by 89%. Subgroup analysis revealed the largest gains among adolescents (DiD: +31 pp) and rural residents (DiD: +27 pp). HIV testing uptake increased from 52% to 90% (DiD: +34 pp, p<0.001). Linkage to care for HIV-positive women improved from 65% to 92% (p=0.002). Conclusion: A CHW-led, community-based strategy is highly effective in improving early engagement with ANC and HIV services in resource-limited settings. The intervention demonstrated a strong equity-promoting effect. Integration and scale-up of this model within primary healthcare systems is recommended.