Documenting evidence on global health strategies and programmes that provide safeguards for vulnerable populations and strengthen overall pandemic preparedness is essential. This study aimed to identify factors associated with adherence to COVID-19 mitigation measures, COVID-19-related symptoms and testing, as well as pandemic-related income loss among internally displaced persons (IDPs) in urban and remote areas of Burkina Faso, Niger and Mali.

This cross-sectional study used fixed-site respondent-driven sampling (RDS).

Primary care settings across six urban and remote locations in Burkina Faso, Mali and Niger.

4144 internally displaced adults, who had been forced from their homes within 5 years of the survey, participated in the study. The survey was conducted between August and October 2021 in two selected locations in three countries: Kaya (n=700) and Ouahigouya (n=715) in Burkina Faso; Bamako (n=707) and Ménaka (n=700) in Mali; and Niamey (n=733), and Diffa (n=589) in Niger. Participants were included if they were born in the study countries, displaced due to conflict, violence or disaster, aged 18 years or older, and living or working in the study site for at least 1 month.

The primary outcomes measured were adherence to COVID-19 mitigation measures, presence of COVID-19 symptoms, COVID-19 testing and vaccination rates and pandemic-related income loss.

Among 4144 IDPs surveyed across 6 sites in Burkina Faso, Mali and Niger, over half (52%) reported experiencing at least one COVID-19 symptom in the preceding 2 weeks. However, 8% had ever been tested for COVID-19, and fewer than 5% had received a vaccine in all sites except Diffa, where 54% reported vaccination. While willingness to be vaccinated was high (ranging from 56.6% in Bamako to 89.5% in Niamey), access remained limited. Compliance with public health measures varied; for example, 41.7% of IDPs were able to maintain physical distance from non-household members, and just 60.2% reported wearing a mask. Chronic health conditions were consistently associated with higher odds of COVID-19 symptoms (Ménaka OR: 14.65; 95% CI: 7.36 to 29.17). Economic vulnerability was widespread, with more than half of IDPs in Bamako (58.1%) and Niamey (66.4%) reporting income loss due to the pandemic, and average monthly income declining by over 50% in most sites. IDPs in urban areas generally reported greater exposure to COVID-19 risk factors, while those in remote settings reported lower adherence and poorer access to basic preventive measures.

This is the first known RDS study to explore the impact of the COVID-19 pandemic on IDPs. Findings suggest that IDPs in urban areas may face heightened risks of exposure and infection, underscoring the need to prioritise them in public health efforts. Low testing and vaccination rates and significant income loss call for advocacy and economic relief to address these vulnerabilities. Future pandemic responses should integrate health interventions with targeted support, especially mitigating income loss to bolster IDPs’ resilience.

First post-contrAst SubtracTed (FAST) MRI, an abbreviated breast MRI scan, has high sensitivity for sub-centimetre aggressive breast cancer and short acquisition and interpretation times. These attributes promise effective supplemental screening. Until now, FAST MRI research has focused on women above population-risk of breast cancer (high mammographic density or personal history). DYAMOND aims to define the population within the population-risk NHS Breast Screening Programme (NHSBSP) likely to benefit from FAST MRI. The study population is the 40% of screening clients aged 50–52 who have average mammographic density (BI-RADS (Breast Imaging Reporting and Data System) B) on their first screening mammogram. DYAMOND will answer whether sufficient numbers of breast cancers, missed by mammography, can be detected by FAST MRI to justify the inclusion of this group in a future randomised controlled trial.

Prospective, multicentre, diagnostic yield, single-arm study with an embedded qualitative sub-study: all recruited participants undergo a FAST MRI. An internal pilot will assess the willingness of sites and screening clients to participate in the study. Screening clients aged 50–52, with a clear first NHSBSP mammogram and BI-RADS B mammographic density (by automated measurement) will be invited to participate (recruitment target: 1000). The primary outcome is the number of additional cancers detected by FAST MRI (missed by screening mammography). A Fleming’s two-stage design will be used as this allows for early stopping after stage 1, to save participants, funding costs and time continuing to the end of the study if the question can be answered earlier.

The NHSBSP Research and Innovation Development Advisory Committee and the Yorkshire and Humber–Sheffield Research Ethics Committee (23/YH/0268, study ID (IRAS): 330059) approved this research protocol. Participation involves a two-stage informed consent process, enabling screening for eligibility through automated mammographic density measurement. Patients with breast cancer helped shape the study design and co-produced participant-facing documents. They will disseminate the results to the public in a clear and meaningful way. Results will be published with open access in international peer-reviewed scientific journals.

ISRCTN74193022

We examined studies that analysed the spatial association of cancers with demographic, environmental, behavioural and/or socioeconomic factors and the statistical methods applied.

Systematic mapping review.

Web of Science (SSCI) (search on 28 July 2022), MEDLINE, SocINDEX and CINAHL (search on 4 August 2022), additional searches included grey literature.

(1) Focused on the constituent countries of the UK (England, Wales, Scotland and Northern Ireland) and its major regions (eg, the North West); (2) compared cancer(s) outcomes with demographic, environmental, behavioural and socioeconomic characteristics by applying methods to identify their spatial association; (3) reported cancer prevalence, incidence rates, relative risk or ORs for a risk factor or to an average level of cancer.

A standardised data extraction form was developed and for all studies, core data were extracted including bibliographic information, study design, geographical factors analysed, data aggregation level, methods applied and main findings. We described and synthesised the characteristics of the studies using summary tables, charts and graphs.

52 studies were included covering a variety of objectives and geographical scales. These studies considered different types of cancer, with the most common cancer types analysed being blood and lymphoid cell cancers. The most common methods used to assess the association between cancers and geographical level factors were regression analyses, with the majority being Poisson regression, then logistic and linear regression. Studies were usually conducted at ward and local authority level, or by exact point location when distances from putative risk sources were considered. The results were usually presented in plots or as tables, instead of maps.

Our results highlight the lack of consideration of spatially explicit models in the analysed studies, with the risk of having failed the assumption of independence in the data.

CRD42022349165.