To characterise long-term trajectory of recovery in individuals with long covid.

Prospective cohort.

Single-centre, specialist post-COVID service (London, UK).

Individuals aged ≥18 years with long covid (hospitalised and non-hospitalised) from April 2020 to March 2024.

Routine, prospectively collected data on symptoms, quality of life (including Fatigue Assessment Scale (FAS) and EuroQol 5 Dimensions (EQ-5D), return to work status and healthcare utilisation (investigations, outpatient and emergency attendances). The primary outcome was recovery by self-reported >75% of ‘best health’ (EQ-5D Visual Analogue Scale) and was assessed using Cox proportional hazards regression models over 4 years. Linked National Health Service England registry data provided secondary care healthcare utilisation and expenditure.

We included 3590 individuals (63.3% female, 73.5% non-hospitalised, median age 50.0 years, 71.9% with ≥2 doses of COVID-19 vaccination), who were followed up for a median of 136 (0–346) days since first assessment and 502 (251–825) days since symptom onset. At first assessment, 33.2% of employed individuals were unable to work. Dominant symptoms were fatigue (78.7%), breathlessness (68.1%) and brain fog (53.5%). 33.4% of individuals recovered to >75% of best health prior to clinic discharge (recovery occurred median 202 (94–468) days from symptom onset). Vaccinated individuals were more likely to recover faster (pre: HR 2.93 (2.00–4.28) and post: HR 1.34 (1.05–1.71) COVID-19 infection), whereas recovery hazard was inversely associated with FAS (HR 0.37 (0.33–0.42)), myalgia (HR 0.59 (0.45–0.76)) and dysautonomic symptoms (HR 0.46 (0.34–0.62)). There was high secondary care healthcare utilisation (both emergency and outpatient care). Annual inpatient and outpatient expenditure was significantly lower in hospitalised individuals while under the service. When compared with the prereferral period, emergency department attendances were reduced in non-hospitalised patients with long covid, but outpatient costs increased.

In the largest long covid cohort from a single specialist post-COVID service to date, only one-third of individuals under follow-up achieved satisfactory recovery. Fatigue severity and COVID-19 vaccination at presentation, even after initial COVID-19 infection, was associated with long covid recovery. Ongoing service provision for this and other post-viral conditions is necessary to support care, progress treatment options and provide capacity for future pandemic preparedness. Research and clinical services should emphasise these factors as the strongest predictors of non-recovery.

Despite global commitments to eliminate malnutrition, over half the world’s population remains affected. Multisectoral nutrition interventions targeting both proximate and distal causes of malnutrition are essential across the lifespan. Yet, current data collection lacks comprehensive nutrition intervention coverage measures, risking inaccuracies in tracking progress. The One Nutrition Coverage Survey (ONCS) aims to test new and refined coverage measurement methods, assess coverage equity and guide integration into large-scale household surveys.

The ONCS will be a cross-sectional, population-representative household survey conducted in four districts of Bangladesh (Rangpur, Sylhet, Dhaka and Khulna), selected for their geographic spread and urban–rural balance. A stratified multistage sampling approach will be used to select enumeration areas, and a total of approximately 3280 households randomly selected within each EA will be included in the survey. The survey will interview women of reproductive age (15–49 years), caregivers of children (0–9 years), adolescents (10–19 years) and pregnant women, collecting data on multisectoral nutrition interventions relevant to these groups. It will use both existing and new measures, while also capturing monetary and non-monetary costs for survey design to implementation. Data will be analysed to assess coverage, co-coverage and equity by sociodemographic characteristics, as well as the feasibility, accuracy and costs of the survey approach.

The study protocol and instruments were reviewed and approved by the International Centre for Diarrhoeal Disease Research, Bangladesh’s (icddr,b) Ethical Review Board in Bangladesh and the International Food Policy Research Institute’s Institutional Review Board in Washington, DC, USA. Adults provided signed informed consent and adolescents their assent. Findings will be shared through peer-reviewed publications, conferences and presentations in Bangladesh with key stakeholders. This study will yield new tools, methods and evidence for measuring multisectoral nutrition intervention coverage, applicable to other low-income and middle-income countries. Learnings from ONCS will enhance data collection aligned with national strategies, helping governments improve coverage assessments, inform decisions and strengthen programme monitoring.

Stillbirth remains a major global health challenge, with India bearing a substantial share of the burden. Despite the availability of evidence-based interventions, stillbirth rates (SBRs) remain high due to gaps in healthcare access, quality and the effective delivery of maternal and neonatal care. This study aims to develop and implement an optimised, context-specific model to reduce SBRs in Sangrur district, Punjab.

This mixed-methods implementation research will adopt a sequential explanatory design. The study will be conducted over 3 years in four blocks of Sangrur. Data will be collected through baseline and endline surveys, verbal autopsies of stillbirths, direct observations of antenatal and intrapartum care, and qualitative interviews with community members and healthcare providers. The intervention package will focus on preconception and antepartum care, intrapartum care and strengthening health systems. The study will use the plan-do-check-act model for continuous improvement, and real-time data collection through electronic systems will support timely decision-making.

The study expects to achieve a 25% reduction in SBRs through the optimised delivery of high-quality antenatal and intrapartum care services. Additionally, the research will provide critical evidence on the barriers and facilitators to optimise service delivery, as well as insights into the health system and community factors influencing stillbirth outcomes. This study aims to create a scalable and adaptable intervention model to reduce SBRs in low-resource settings like Sangrur and Punjab. The findings will inform future maternal and neonatal health policies and provide a framework for the broader implementation of similar interventions in other regions of India.

The study protocol has been approved by the International Institute of Health Management Research, Delhi (IIHMR) Institutional Ethics Committee (IRB/2024-2025/01). The study is funded through a competitive call for proposals on stillbirths by the Indian Council of Medical Research (ICMR) under the National Health Research Priority Projects (5/7BMIPR/2022-RBMCH). The research has been awarded by ICMR (project ID NHRP05586) to IIHMR under grant number 5/7/BMIPR/2022-RCN.