| Literature DB >> 36064411 |
Tasnim Azim1, Anjana Bhushan2, Victor J Del Rio Vilas2, Rahul Srivastava2, Pushpa Ranjan Wijesinghe2, Roderico Ofrin3, Sharat Chauhan2, Anand Krishnan4.
Abstract
BACKGROUND: Effectively addressing the coronavirus disease 2019 (COVID-19) pandemic caused by the new pathogen requires continuous generation of evidence to inform decision-making. Despite an unprecedented amount of research occurring globally, the need to identify gaps in knowledge and prioritize a research agenda that is linked to public health action is indisputable. The WHO South-East Asia Region (SEAR) is likely to have region-specific research needs.Entities:
Keywords: COVID-19; Health system; Prioritization; Research; WHO SEAR
Mesh:
Year: 2022 PMID: 36064411 PMCID: PMC9443619 DOI: 10.1186/s12961-022-00862-x
Source DB: PubMed Journal: Health Res Policy Syst ISSN: 1478-4505
Thematic areas of research on COVID-19 for prioritization
| Thematic area | Research that | Subthemes |
|---|---|---|
| Epidemiology | Improves our ability to monitor and predict the epidemic and provides evidence to inform public health interventions | •Burden, risk factors •Dynamics of disease transmission |
| Clinical | Helps describe the full clinical spectrum of COVID-19 including its impact on other organs, and improves diagnosis, chemoprophylaxis and clinical management of patients | •Clinical characteristics and management •Therapeutics and diagnostics •Impact on mental, psychological health |
| Basic sciences | Improves our understanding of the disease process and aids product development (vaccines, diagnostics and drugs) | •Pathophysiology of disease •Immunology •Product development |
| Health system | Assists in identifying measures that improve access to the health system and ensures the safety of health workers, and also includes assessment of the impact of COVID-19 on health services or programmes and mitigation measures adopted | •Protection of healthcare workers and infection control in health settings •Service provision including vaccine supply and distribution •Primary healthcare •Impact on other diseases and their control |
| Public health and social measures | Helps evaluate the usefulness of public health interventions in COVID-19 prevention | •Surveillance and contact tracing •Non-pharmaceutical interventions •Vaccination strategy •Risk communication •Evaluation of legislative approaches |
| Socioeconomic and equity-related | Helps us understand the impact of COVID-19 on social, economic and equity aspects to plan appropriate interventions | •Community-based approaches •Equity and ethical aspects •Economic impact |
| Pandemic preparedness | Enables us to strengthen systems to better respond to a “future” pandemic | •Human–animal interface and risk reduction •International reporting/sharing of information •Health system resilience |
Scoring system for prioritization of research ideas
| Parameter | Explanation | Scoring |
|---|---|---|
| Specificity | How specific is the issue to the countries of SEAR? | Very little = 1 Little = 2 Somewhat = 3 Highly = 4 |
| Relevance | How relevant is the research in shaping the pandemic response of countries? | Not relevant = 1 Somewhat relevant = 2 Quite relevant = 3 Highly relevant = 4 |
| Feasibility | How doable is the research idea in the Member States of the region given their technical capacity (institutions, human resource, laboratory, etc.)? | Not doable = 1; Somewhat doable = 2 Quite doable = 3 Highly doable = 4 |
| Urgency | How soon can the results of the research be available for decision-making? | More than 3 years = 1 Within 2–3 years = 2 Within 1 year = 3 Within 6 months = 4 |
| Effectiveness | What impact will the research have on clinical, laboratory or public health practice related to COVID-19 or other health services/programmes? | Very low = 1 Low = 2 High = 3 Very high = 4 |
| Gender, equity and human rights considerations | How likely will the research be to reduce inequities, promote gender responsiveness and advance the right to health? | Not likely = 1 Somewhat likely = 2 Quite likely = 3 Highly likely = 4 |
List of research ideas by thematic areas and sources of suggestion
| WHO country/regional office | Basis sciences | Epidemiology | Clinical sciences | Health system | Public health interventions | Pandemic preparedness | Social, economic and equity-related | Total |
|---|---|---|---|---|---|---|---|---|
| Bangladesh | 1 | 5 | 3 | 3 | 5 | 2 | 1 | 20 |
| Bhutan | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 4 |
| India | 1 | 4 | 2 | – | 1 | 0 | 2 | 10 |
| Indonesia | 0 | 2 | – | 3 | 3 | 0 | – | 8 |
| Maldives | 1 | 1 | – | 2 | 1 | 0 | 0 | 5 |
| Myanmar | 1 | 5 | 6 | 14 | 8 | 1 | 3 | 38 |
| Nepal | 0 | 9 | 2 | 2 | 5 | 2 | 0 | 20 |
| Sri Lanka | 1 | 4 | 1 | – | 0 | 1 | 0 | 7 |
| Thailand | 0 | 3 | 0 | 1 | 4 | 0 | 1 | 9 |
| Timor-Leste | 0 | 1 | 0 | 5 | 2 | 0 | 1 | 9 |
| Regional office | 2 | 9 | 11 | 24 | 14 | 5 | 8 | 73 |
| Preliminary list (%) | 7 (3.4) | 44 (21.7) | 26 (12.8) | 56 (27.6) | 43 (21.2) | 11 (5.4) | 16 (7.9) | 203 |
| Shortlist (%) | 4 (5.1) | 17 (21.8) | 12 (15.4) | 23 (29.5) | 13 (16.7) | 5 (6.4) | 4 (5.1) | 78 |
| Priority list (%) | 1 (3.7) | 5 (18.5) | 1 (3.7) | 10 (37.0) | 6 (22.2) | 1 (3.7) | 3 (11.1) | 27 |
Priority research agenda for COVID-19 in SEAR
| Rank | Research idea | Contributing WHO offices |
|---|---|---|
| 1 | What is the effect of the COVID-19 pandemic on the continuity of essential health services? | Bhutan, Nepal, SEARO |
| 2 | What are the major gaps in policies and strategies in effectively responding to the pandemic in SEAR Member States? | SEARO |
| 3 | How was the readiness for the delivery of COVID-19 vaccines assessed in SEAR Member States; what were the key aspects where the countries were ready and where were the gaps? | Myanmar |
| 5 | What was the impact of COVID-19 on healthcare workers (including rates of infection, stress, burnout, stigmatization and violence) and measures taken to address them, including any gender-specific response? | Bangladesh, Indonesia, Myanmar, Nepal, Timor-Leste, SEARO |
| 7 | Assessment of health system capacity (especially preventive and promotive) to manage the epidemic | Myanmar, Timor-Leste, SEARO |
| 11 | What was the role of the primary level of care in SEAR Member States in case management and its referral linkages with higher levels? | Myanmar, Timor-Leste, SEARO |
| 13 | In SEAR Member States, how did the existing roles and responsibilities of the hierarchy in the governance system of COVID-19 response enable or constrain an effective pandemic response? | Myanmar |
| 14 | How were supply chain issues quantified and reliable supplies ensured from national to subnational levels in SEAR Member States for all essential items? | SEARO |
| 17 | To what extent were health services (diagnostic, curative, promotive, preventive, rehabilitative) disrupted due to COVID-19 and what was the resulting adverse impact on the prevention and control of priority public health conditions (TB, mental health, SRMNCAH, NCDs)? | Bhutan, Myanmar, Thailand, SEARO |
| 24 | What process changes did SEAR Member States introduce in healthcare facilities to cater to the dual load of COVID-19 and non-COVID-19 patients during the pandemic? | Maldives |
| 6 | Acceptability of COVID-19 vaccine and barriers to vaccination among the general population and among healthcare workers | Timor-Leste, SEARO |
| 8 | What are the sociocultural influences and other barriers to and enablers of community behaviour change regarding COVID-19? | Bangladesh, Indonesia, Myanmar, Timor-Leste, SEARO |
| 12 | What policy and programmatic interventions for the COVID response are safe and effective in preventing transmission in different local contexts (points of entry/internally displaced people/workplaces)? | Bangladesh, India, Maldives, Myanmar, Nepal, Thailand, SEARO |
| 21 | Analysis of prevention strategies by SEAR Member States and their effectiveness in controlling the transmission of COVID-19 and limiting its adverse socioeconomic impact | Bangladesh, India |
| 25 | Analysis of the use of contact tracing mobile applications to accelerate the COVID-19 response and for addressing challenges in case finding and contact tracing in communities, in different contexts within countries | Bangladesh, Indonesia, Myanmar, Nepal, SEARO |
| 26 | Evaluation of the COVID-related communication campaigns in SEAR Member States | Bangladesh, Myanmar, SEARO |
| 4 | To estimate the severity of disease (mild/moderate/severe) in various groups (by age group, geographical location, sex, health status, vulnerable groups, etc.) and conduct a trend analysis | Bangladesh, Myanmar, Nepal, Thailand, Timor-Leste, SEARO |
| 10 | Sero-surveillance/sero-surveys to assess and monitor the infection burden of SARS-CoV-2 infection in various groups (by age, geographical location, sex, etc.) | Myanmar, Nepal |
| 16 | What are the early warning indicators to identify COVID-19 clustering? | Sri Lanka |
| 23 | COVID-19 disease transmission studies in various settings (slums, rural areas, workplaces) | Bangladesh, India, Sri Lanka |
| 27 | Analysis of COVID-19 data disaggregated by sex and age (and any other available stratifier) for policy-relevant trends revealed by such analysis | Bangladesh, Myanmar |
| 9 | How did COVID-19 exacerbate pre-existing inequities and their (negative) health and non-health impact on various disadvantaged groups, taking as migrants or others as illustrative examples? | Indonesia, Myanmar, Timor-Leste, SEARO |
| 19 | To what extent have sex and gender figured/been addressed in clinical trials and other COVID-19-related research in SEAR Member States? | Nepal, SEARO |
| 22 | Which COVID-19 related policies have addressed the needs of vulnerable groups and to what extent has the response been equity-focused, gender-responsive and human rights-based (using specific vulnerable groups as illustrative examples)? | Bangladesh, India, Myanmar, Thailand, Timor-Leste |
| 15 | Clinical features, disease progression and outcome of COVID-19 infection in various vulnerable groups (by age, sex or health status, migrants, refugees, internally displaced persons, slum-dwellers, people living with a disability, etc.) | Bangladesh, Bhutan Indonesia, Myanmar, Nepal, Sri Lanka, Thailand, SEARO |
| 18 | What is the duration and level of immune response in COVID-19 positive patients by age, sex and comorbidities (HIV/TB/NCDs)? | Bangladesh, Maldives, Sri Lanka, Timor-Leste, SEARO |
| 20 | How did existing laboratory capacity influence the national testing strategy adopted in SEAR Member States; how did countries improve their laboratory capacity, and what lessons have been learned to improve laboratory performance in the future? | Bangladesh, Nepal |
NCDs noncommunicable diseases, SRMNCAH sexual, reproductive, maternal, newborn, child and adolescent health, TB tuberculosis