Background: Undiagnosed tuberculosis (TB) cases are the major challenge to TB control in Nigeria. An early warning outbreak recognition system (EWORS) is a system that is primarily used to detect infectious disease outbreaks; this system can be used as a case-based geospatial tool for the real-time identification of hot spot areas with clusters of TB patients. TB screening targeted at such hot spots should yield more TB cases than screening targeted at non–hot spots. Objective: We aimed to demonstrate the effectiveness of an EWORS for TB hot spot mapping as a tool for detecting areas with increased TB case yields in high TB-burden states of Nigeria. Methods: KNCV Tuberculosis Foundation Nigeria deployed an EWORS to 14 high-burden states in Nigeria. The system used an advanced surveillance mechanism to identify TB patients’ residences in clusters, enabling it to predict areas with elevated disease spread (ie, hot spots) at the ward level. TB screening outreach using the World Health Organization 4-symptom screening method was conducted in 121 hot spot wards and 213 non–hot spot wards selected from the same communities. Presumptive cases identified were evaluated for TB using the GeneXpert instrument or chest X-ray. Confirmed TB cases from both areas were linked to treatment. Data from the hot spot and non–hot spot wards were analyzed retrospectively for this study. Results: During the 16-month intervention, a total of 1,962,042 persons (n=734,384, 37.4% male, n=1,227,658, 62.6% female) and 2,025,286 persons (n=701,103, 34.6% male, n=1,324,183, 65.4% female) participated in the community TB screening outreaches in the hot spot and non–hot spot areas, respectively. Presumptive cases among all patients screened were 268,264 (N=3,987,328, 6.7%) and confirmed TB cases were 22,618 (N=222,270, 10.1%). The number needed to screen to diagnose a TB case in the hot spot and non–hot spot areas was 146 and 193 per 10,000 people, respectively. Conclusions: Active TB case finding in EWORS-mapped hot spot areas yielded higher TB cases than the non–hot spot areas in the 14 high-burden states of Nigeria. With the application of EWORS, the precision of diagnosing TB among presumptive cases increased from 0.077 to 0.103, and the number of presumptive cases needed to diagnose a TB case decreased from 14.047 to 10.255 per 10,000 people.

Background: In Nigeria, most children with tuberculosis (TB) present at primary health clinics where there are limited personnel skilled in collecting appropriate respiratory specimens from those who cannot produce sputum. KNCV Nigeria, in collaboration with the National Tuberculosis Control Program, implemented a modified simple, one-step (SOS), stool-based Xpert MTB/RIF method for diagnosis of TB in children who cannot expectorate sputum. We evaluated the impact of its implementation on childhood TB diagnosis. Method: A cross-sectional study was conducted across 14 selected states using secondary data of children presumed to have TB. Stool was collected from children presumed to have TB and processed using Xpert. Result: Out of 52,117 presumptive TB cases, 52% were male and 59.7% were under 5 years old. A total of 2440 (5%) cases were diagnosed with TB, and 2307 (95%) were placed on treatment. Annual TB notifications increased significantly after the introduction of the stool-based Xpert test when compared to those in the pre-implementation period. Increasing contributions from stool testing were observed throughout the implementation period, except in 2020 during the COVID-19 era. Overall, stool Xpert testing improved childhood TB notification in the studied states. Interventions aimed at awareness creation, capacity building, and active case finding improved the performance of the test.

INTRODUCTION: TB remains one of the leading causes of death in Nigeria, and despite progress in treatment coverage, a 56% gap in national case notifications remains. This gap is attributable in part to underdiagnosis due to missed cases in health facilities. The TB Surge intervention presented an opportunity to address barriers to optimal case detection in public health facilities. METHODS: KNCV Nigeria implemented the TB Surge intervention under the USAID-funded TB-LON Project in 1,041 public facilities from June 2020 to September 2022. Trained ad-hoc staff screened hospital attendees, linked identified presumptive TB cases to diagnosis and confirmed TB cases to treatment. Data were reported using the Commcare application. Robust project monitoring was used to address gaps. RESULTS: Of a total of 12,195,874 hospital attendees screened for TB, 729,369 identified as presumptive TB were tested and 65,029 TB cases were diagnosed; 8% of the TB cases were children. Overall TB yield was 9%. Medical ward service delivery point had the highest TB yield of 21%. The number needed to test was 11 and the number needed to screen was 188. CONCLUSION: The TB Surge intervention was of strategic importance in addressing missed cases and barriers to prompt TB diagnosis in health facilities.

Providing tuberculosis preventive treatment (TPT) to close contacts of persons with TB is a core strategy recommended by WHO for the prevention and control of TB. Nigeria rolled out the 3-month Isoniazid-Rifampicin (3HR) shorter regimen TPT as a pilot for use among eligible adult and child contacts. This study assesses acceptance and completion rates of 3HR TPT among contacts and determines the perspectives of healthcare workers (HCWs) and contacts on acceptance and completion of 3HR TPT in Nigeria. In this cross-sectional descriptive study using mixed methods, records of TPT-eligible clients were retrospectively reviewed, while 18 purposely selected HCWs and 18 contacts on 3HR were interviewed. Of the 30,012 eligible contacts, 12,040 (40.1%) were initiated on TPT. Among these, 8213 (68%) were enrolled on 3HR, and 6972 (84.7%) of them completed treatment. Perceived facilitators include belief in its effectiveness, training among HCWs, and a good understanding of TPT from HCW counseling sessions. Barriers reported were linked to stockouts, misconceptions about side effects, non-disclosures, and disincentive follow-up strategies. The acceptance and completion rate for 3HR TPT was good. Scaling up 3HR TPT will require redesigning policies towards addressing identified barriers and utilizing interventions linked to capabilities, opportunities, and motivations among contacts of TB patients and HCWs.

Correctional centers, including prisons and other penitentiary facilities, are recognized as high-risk environments for tuberculosis (TB) transmission due