Documenting the development, adoption and pre-ebola implementation of Liberia's integrated disease surveillance and response (IDSR) strategy.

BACKGROUND: In the immediate aftermath of a 14-year civil conflict that disrupted the health system, Liberia adopted the internationally recommended integrated disease surveillance and response (IDSR) strategy in 2004. Despite this, Liberia was among the three West African countries ravaged by the worst Ebola epidemic in history from 2014 to 2016. This paper describes successes, failures, strengths, and weaknesses in the development, adoption, and implementation of IDSR following the civil war and up until the outbreak of Ebola, from 2004 to early 2014. METHODS: We reviewed 112 official Government documents and peer-reviewed articles and conducted 29 in-depth interviews with key informants from December 2021 to March 2022 to gain perspectives on IDSR in the post-conflict and pre-Ebola era in Liberia. We assessed the core and supportive functions of IDSR, such as notification of priority diseases, confirmation, reporting, analysis, investigation, response, feedback, monitoring, staff training, supervision, communication, and financial resources. Data were triangulated and presented via emerging themes and in-depth accounts to describe the context of IDSR introduction and implementation, and the barriers surrounding it. RESULTS: Despite the adoption of the IDSR framework, Liberia failed to secure the resources-human, logistical, and financial-to support effective implementation over the 10-year period. Documents and interview reports demonstrate numerous challenges prior to Ebola: the surveillance system lacked key components of IDSR including laboratory testing capacity, disease reporting, risk communication, community engagement, and staff supervision systems. Insufficient financial support and an abundance of vertical programs further impeded progress. In-depth accounts by donors and key governmental informants demonstrate that although the system had a role in detecting Ebola in Liberia, it could not respond effectively to control the disease. CONCLUSION: Our findings suggest that post-war, Liberia's health system intended to prioritize epidemic preparedness and response with the adoption of IDSR. However, insufficient investment and systems development meant IDSR was not well implemented, leaving the country vulnerable to the devastating impact of the Ebola epidemic.

Understanding reasons for and strategic responses to administrative health data misreporting in an Indian state.

The misreporting of administrative health data creates an inequitable distribution of scarce health resources and weakens transparency and accountability within health systems. In the mid-2010s, an Indian state introduced a district ranking system to monitor the monthly performance of health programmes alongside a set of data quality initiatives. However, questions remain about the role of data manipulation in compromising the accuracy of data available for decision-making. We used qualitative approaches to examine the opportunities, pressures and rationalization of potential data manipulation. Using purposive sampling, we interviewed 48 district-level respondents from high-, middle- and low-ranked districts and 35 division- and state-level officials, all of whom had data-related or programme monitoring responsibilities. Additionally, we observed 14 district-level meetings where administrative data were reviewed. District respondents reported that the quality of administrative data was sometimes compromised to achieve top district rankings. The pressure to exaggerate progress was a symptom of the broader system for assessing health performance that was often viewed as punitive and where district- and state-level superiors were viewed as having limited ability to ensure accountability for data quality. However, district respondents described being held accountable for results despite lacking the adequate capacity to deliver on them. Many rationalized data manipulation to cope with high pressures, to safeguard their jobs and, in some cases, for personal financial gain. Moreover, because data manipulation was viewed as a socially acceptable practice, ethical arguments against it were less effective. Potential entry points to mitigate data manipulation include (1) changing the incentive structures to place equal emphasis on the quality of data informing the performance data (e.g. district rankings), (2) strengthening checks and balances to reinforce the integrity of data-related processes within districts and (3) implementing policies to make data manipulation an unacceptable anomaly rather than a norm.

Strategies to promote evidence use for health programme improvement: learning from the experiences of embedded implementation research teams in Latin America and the Caribbean.

BACKGROUND: To achieve global health targets, innovative approaches are needed to strengthen the implementation of efficacious interventions. New approaches in implementation research that bring together health system decision-makers alongside researchers to collaboratively design, produce and apply research evidence are gaining traction. Embedded implementation research (EIR) approaches led by decision-maker principal investigators (DM PIs) appear promising in this regard. Our aim is to describe the strategies study teams employ in the post-research phase of EIR to promote evidence-informed programme or policy improvement. METHODS: We conducted a prospective, comparative case study of an EIR initiative in Bolivia, Colombia and Dominican Republic. Guided by a conceptual framework on EIR, we used semi-structured key informant interviews (n = 51) and document reviews (n = 20) to examine three decision-maker-led study teams ("cases"). Focusing on three processes (communication/dissemination, stakeholder engagement with evidence, integrating evidence in decision-making) and the main outcome (enacting improvements), we used thematic analysis to identify associated strategies and enabling or hindering factors. RESULTS: Across cases, we observed diverse strategies, shaped substantially by whether the DM PI was positioned to lead the response to study findings within their sphere of work. We found two primary change pathways: (1) DM PIs implement remedial measures directly, and (2) DM PIs seek to influence other stakeholders to respond to study findings. Throughout the post-research phase, EIR teams adapted research use strategies based on the evolving context. CONCLUSIONS: EIR led by well-positioned DM PIs can facilitate impactful research translation efforts. We draw lessons around the importance of (1) understanding DM PI positionality, (2) ongoing assessment of the evolving context and stakeholders and (3) iterative adaptation to dynamic, uncertain circumstances. Findings may guide EIR practitioners in planning and conducting fit-for-purpose and context-sensitive strategies to advance the use of evidence for programme improvement.

The effectiveness of supervision strategies to improve health care provider practices in low- and middle-income countries: secondary analysis of a systematic review.

BACKGROUND: Although supervision is a ubiquitous approach to support health programs and improve health care provider (HCP) performance in low- and middle-income countries (LMICs), quantitative evidence of its effects is unclear. The objectives of this study are to describe the effect of supervision strategies on HCP practices in LMICs and to identify attributes associated with greater effectiveness of routine supervision. METHODS: We performed a secondary analysis of data on HCP practice outcomes (e.g., percentage of patients correctly treated) from a systematic review on improving HCP performance. The review included controlled trials and interrupted time series studies. We described distributions of effect sizes (defined as percentage-point [%-point] changes) for each supervision strategy. To identify attributes associated with supervision effectiveness, we performed random-effects linear regression modeling and examined studies that directly compared different approaches of routine supervision. RESULTS: We analyzed data from 81 studies from 36 countries. For professional HCPs, such as nurses and physicians, primarily working at health facilities, routine supervision (median improvement when compared to controls: 10.7%-points; IQR: 9.9, 27.9) had similar effects on HCP practices as audit with feedback (median improvement: 10.1%-points; IQR: 6.2, 23.7). Two attributes were associated with greater mean effectiveness of routine supervision (p < 0.10): supervisors received supervision (by 8.8-11.5%-points), and supervisors participated in problem-solving with HCPs (by 14.2-20.8%-points). Training for supervisors and use of a checklist during supervision visits were not associated with effectiveness. The effects of supervision frequency (i.e., number of visits per year) and dose (i.e., the number of supervision visits during a study) were unclear. For lay HCPs, the effect of routine supervision was difficult to characterize because few studies existed, and effectiveness in those studies varied considerably. Evidence quality for all findings was low primarily because many studies had a high risk of bias. CONCLUSIONS: Although evidence is limited, to promote more effective supervision, our study supports supervising supervisors and having supervisors engage in problem-solving with HCPs. Supervision's integral role in health systems in LMICs justifies a more deliberate research agenda to identify how to deliver supervision to optimize its effect on HCP practices.

Towards Core Competencies for Health Policy and Systems Research (HPSR) Training: Results From a Global Mapping and Consensus-Building Process.

BACKGROUND: As the field of health policy and systems research (HPSR) continues to grow, there is a recognition of the need for training in HPSR. This aspiration has translated into a multitude of teaching programmes of variable scope and quality, reflecting a lack of consensus on the skills and practices required for rigorous HPSR. The purpose of this paper is to identify an agreed set of core competencies for HPSR researchers, building on the previous work by the Health Systems Global (HSG) Thematic Working Group on Teaching & Learning. METHODS: Our methods involved an iterative approach of four phases including a literature review, key informant interviews and group discussions with HPSR educators, and webinars with pre-post surveys capturing views among the global HPSR community. The phased discussions and consensus-building contributed to the evolution of the HPSR competency domains and competencies framework. RESULTS: Emerging domains included understanding health systems complexity, assessing policies and programs, appraising data and evidence, ethical reasoning and practice, leading and mentoring, building partnerships, and translating and utilizing knowledge and HPSR evidence. The development of competencies and their application were often seen as a continuous process spanning evidence generation, partnering, communicating and helping to identify new critical health systems questions. CONCLUSION: The HPSR competency set can be seen as a useful reference point in the teaching and practice of high-quality HPSR and can be adapted based on national priorities, the particularities of local contexts, and the needs of stakeholders (HPSR researchers and educators), as well as practitioners and policy-makers. Further research is needed in using the core competency set to design national training programmes, develop locally relevant benchmarks and assessment methods, and evaluate their use in different settings.

How does the effectiveness of strategies to improve healthcare provider practices in low-income and middle-income countries change after implementation? Secondary analysis of a systematic review.

BACKGROUND: A recent systematic review evaluated the effectiveness of strategies to improve healthcare provider (HCP) performance in low-income and middle-income countries. The review identified strategies with varying effects, including in-service training, supervision and group problem-solving. However, whether their effectiveness changed over time remained unclear. In particular, understanding whether effects decay over time is crucial to improve sustainability. METHODS: We conducted a secondary analysis of data from the aforementioned review to explore associations between time and effectiveness. We calculated effect sizes (defined as percentage-point (%-point) changes) for HCP practice outcomes (eg, percentage of patients correctly treated) at each follow-up time point after the strategy was implemented. We estimated the association between time and effectiveness using random-intercept linear regression models with time-specific effect sizes clustered within studies and adjusted for baseline performance. RESULTS: The primary analysis included 37 studies, and a sensitivity analysis included 77 additional studies. For training, every additional month of follow-up was associated with a 0.19 %-point decrease in effectiveness (95% CI: -0.36 to -0.03). For training combined with supervision, every additional month was associated with a 0.40 %-point decrease in effectiveness (95% CI: -0.68 to -0.12). Time trend results for supervision were inconclusive. For group problem-solving alone, time was positively associated with effectiveness, with a 0.50 %-point increase in effect per month (95% CI: 0.37 to 0.64). Group problem-solving combined with training was associated with large improvements, and its effect was not associated with time. CONCLUSIONS: Time trends in the effectiveness of different strategies to improve HCP practices vary among strategies. Programmes relying solely on in-service training might need periodical refresher training or, better still, consider combining training with group problem-solving. Although more high-quality research is needed, these results, which are important for decision-makers as they choose which strategies to use, underscore the utility of studies with multiple post-implementation measurements so sustainability of the impact on HCP practices can be assessed.

Examining policy intentions and actual implementation practices: How organizational factors influence health management information systems in Uttar Pradesh, India.

This study investigates the implementation of a recent health management information systems (HMIS) policy reform in Uttar Pradesh, India, which aims to improve the quality and use of HMIS data in decision-making. Through in-depth interviews, meeting observations and a policy document review, this study sought to capture the experiences of district-level staff (street-level bureaucrats) who were responsible for HMIS policy implementation. Findings revealed that issues of weak HMIS implementation were partly due to human resources shortages both in number and technical skill. Delays in recruitment and the presence of inactive staff overburdened existing staff and weakened the implementation of HMIS activities at the block- and district-levels. District staff also explained how inadequate computer literacy and limited technical understanding further contributed to low HMIS data quality. The organizational culture was even more constraining: working within a very rigid and hierarchical organization was challenging for district data staff, who were expected to manage day-to-day HMIS activities, but lacked the discretion and authority to do so effectively. Consequently, they had to escalate minor issues to district leadership for action and were expected to follow their supervisors' directives- even if they contradicted HMIS policy guidelines. High performance pressures associated with achieving top district rankings deviated focus away from HMIS data quality issues. Many district-level respondents described their superiors' "fixation" with becoming a top-ranking district often resulted in disregard for the quality of data informing district rankings. Furthermore, the review of district rankings only partially encouraged district-level leadership to investigate reasons for low-performing indicators. Instead, low district rankings often resulted in punitive action. The study recommends the importance of incorporating the perspectives of district staff, and recognizing their discretion, and authority when designing policy implementation processes, and finally concludes with potential strategies for strengthening the current HMIS policy reform.

An Empirical Examination of the Inequality of Forgone Care in India.

Understanding how well a health system is meeting the needs of the population is critical to achieving the policy aspirations of universal health coverage. This study focuses on assessing the inequity of forgone care for priority maternal and child health services across India. We utilize data from the 4th round of the Indian National Family Health Survey (NFHS-4) to examine inequality of forgone care. Our outcomes include forgone institutional delivery, antenatal care, medical care for a child with fever or cough, and medical care for a child with diarrhea. Wagstaff's standardized concentration indices (CIs) are computed at the national level, over urban and rural sub-populations, and by state. Regression decomposition is performed to determine the influence of specific drivers on overall inequality. There was significant variation in the national-level prevalence and CIs for forgone antenatal care (17.8%, CI: -0.423), forgone medical care for a child with fever or cough (32.4%, CI: -0.199), forgone medical care for a child with diarrhea (33.8%, CI: -0.172), and forgone institutional delivery (24.5%, CI: -0.436). For all outcomes, forgone care is disproportionately concentrated among the poor, particularly in rural areas. There is also significant heterogeneity in state-level inequalities. Decomposition analyses show that socioeconomic status, maternal education, rural status, and state-level per capita health spending are the leading drivers of observed inequalities in forgone care. Results suggest attending to both the operation and financing of India's health care system as well as the social determinants that make poor women more likely to forgo maternal health care.

Impact of Public Health and Social Measures on the COVID-19 Pandemic in the United States and Other Countries: Descriptive Analysis.

BACKGROUND: The United States of America has the highest global number of COVID-19 cases and deaths, which may be due in part to delays and inconsistencies in implementing public health and social measures (PHSMs). OBJECTIVE: In this descriptive analysis, we analyzed the epidemiological evidence for the impact of PHSMs on COVID-19 transmission in the United States and compared these data to those for 10 other countries of varying income levels, population sizes, and geographies. METHODS: We compared PHSM implementation timing and stringency against COVID-19 daily case counts in the United States and against those in Canada, China, Ethiopia, Japan, Kazakhstan, New Zealand, Singapore, South Korea, Vietnam, and Zimbabwe from January 1 to November 25, 2020. We descriptively analyzed the impact of border closures, contact tracing, household confinement, mandated face masks, quarantine and isolation, school closures, limited gatherings, and states of emergency on COVID-19 case counts. We also compared the relationship between global socioeconomic indicators and national pandemic trajectories across the 11 countries. PHSMs and case count data were derived from various surveillance systems, including the Health Intervention Tracking for COVID-19 database, the World Health Organization PHSM database, and the European Centre for Disease Prevention and Control. RESULTS: Implementing a specific package of 4 PHSMs (quarantine and isolation, school closures, household confinement, and the limiting of social gatherings) early and stringently was observed to coincide with lower case counts and transmission durations in Vietnam, Zimbabwe, New Zealand, South Korea, Ethiopia, and Kazakhstan. In contrast, the United States implemented few PHSMs stringently or early and did not use this successful package. Across the 11 countries, national income positively correlated (r=0.624) with cumulative COVID-19 incidence. CONCLUSIONS: Our findings suggest that early implementation, consistent execution, adequate duration, and high adherence to PHSMs represent key factors of reducing the spread of COVID-19. Although national income may be related to COVID-19 progression, a country's wealth appears to be less important in controlling the pandemic and more important in taking rapid, centralized, and consistent public health action.

Assessing Barriers to Effective Coverage of Health Services for Adolescents in Low- and Middle-Income Countries: A Scoping Review.

PURPOSE: Understanding barriers to health services, as experienced by adolescents, is important to expand effective and equitable coverage; however, there is limited discussion on methods for conducting barrier assessments and translating findings into action. METHODS: We conducted a scoping review of literature published between 2005 and 2019 on barriers to health services for adolescents in low- and middle-income countries. The review was guided by a framework that conceptualized barriers across multiple dimensions of access (availability, geographic accessibility, affordability, and acceptability), utilization, and effective coverage. RESULTS: We identified 339 studies that assessed barriers related to at least one dimension of the operational framework. Acceptability (93%) and availability (88%) of health services were the most frequently studied access dimensions; affordability (45%) and geographic access (32%) were studied less frequently. Less than half (40%) of the studies evaluated utilization, and none of the 339 studies assessed effective coverage. Attention to equity stratifiers (e.g., income, disability) was limited. Topics studied reflected only a subset of the major causes of adolescent death and disability. CONCLUSIONS: Holistic, equity-oriented approaches are needed to better understand barriers across multiple dimensions that together determine whether health services are accessible, used, and effectively meet the needs of different adolescent groups.

The effectiveness of training strategies to improve healthcare provider practices in low-income and middle-income countries.

INTRODUCTION: In low/middle-income countries (LMICs), training is often used to improve healthcare provider (HCP) performance. However, important questions remain about how well training works and the best ways to design training strategies. The objective of this study is to characterise the effectiveness of training strategies to improve HCP practices in LMICs and identify attributes associated with training effectiveness. METHODS: We performed a secondary analysis of data from a systematic review on improving HCP performance. The review included controlled trials and interrupted time series, and outcomes measuring HCP practices (eg, percentage of patients correctly treated). Distributions of effect sizes (defined as percentage-point (%-point) changes) were described for each training strategy. To identify effective training attributes, we examined studies that directly compared training approaches and performed random-effects linear regression modelling. RESULTS: We analysed data from 199 studies from 51 countries. For outcomes expressed as percentages, educational outreach visits (median effect size when compared with controls: 9.9 %-points; IQR: 4.3-20.6) tended to be somewhat more effective than in-service training (median: 7.3 %-points; IQR: 3.6-17.4), which seemed more effective than peer-to-peer training (4.0 %-points) and self-study (by 2.0-9.3 %-points). Mean effectiveness was greater (by 6.0-10.4 %-points) for training that incorporated clinical practice and training at HCPs' work site. Attributes with little or no effect were: training with computers, interactive methods or over multiple sessions; training duration; number of educational methods; distance training; trainers with pedagogical training and topic complexity. For lay HCPs, in-service training had no measurable effect. Evidence quality for all findings was low. CONCLUSIONS: Although additional research is needed, by characterising the effectiveness of training strategies and identifying attributes of effective training, decision-makers in LMICs can improve how these strategies are selected and implemented.

Strengthening social accountability in ways that build inclusion, institutionalization and scale: reflections on FHS experience.

This editorial provides an introduction to the special issue on "Lessons about intervening in accountability ecosystems: implementation of community scorecards in Bangladesh and Uganda". We start by describing the rationale for this work in the two study countries. While our project, the Future Health Systems (FHS) project, had been working over the course of more than a decade to strengthen health services, particularly for low income households in rural areas, our teams increasingly recognized how difficult it would be to sustain service improvements without fundamental changes to local accountabilities. Accordingly, in the final phase of the project 2016-2018, we designed, implemented and assessed community scorecard initiatives, in both Bangladesh and Uganda, with the aim of informing the design of a scalable social accountability initiative that could fundamentally shift the dynamics of health system accountability in favor of the poor and marginalized.We describe the particular characteristics of our approach to this task. Specifically we (i) conducted a mapping of accountabilities in each of the contexts so as to understand how our actions may interact with existing accountability mechanisms (ii) developed detailed theories of change that unpacked the mechanisms through which we anticipated the community scorecards would have effect, as well as how they would be institutionalized; and (iii) monitored closely the extent of inclusion and the equity effects of the scorecards. In summarizing this approach, we articulate the contributions made by different papers in this volume.

Identifying core competencies for practicing public health professionals: results from a Delphi exercise in Uttar Pradesh, India.

BACKGROUND: Ensuring the current public health workforce has appropriate competencies to fulfill essential public health functions is challenging in many low- and middle-income countries. The absence of an agreed set of core competencies to provide a basis for developing and assessing knowledge, skills, abilities, and attitudes contributes to this challenge. This study aims to identify the requisite core competencies for practicing health professionals in mid-level supervisory and program management roles to effectively perform their public health responsibilities in the resource-poor setting of Uttar Pradesh (UP), India. METHODS: We used a multi-step, interactive Delphi technique to develop an agreed set of public health competencies. A narrative review of core competency frameworks and key informant interviews with human resources for health experts in India were conducted to prepare an initial list of 40 competency statements in eight domains. We then organized a day-long workshop with 22 Indian public health experts and government officials, who added to and modified the initial list. A revised list of 54 competency statements was rated on a 5-point Likert scale. Aggregate statement scores were shared with the participants, who discussed the findings. Finally, the revised list was returned to participants for an additional round of ratings. The Wilcoxon matched-pairs signed-rank test was used to identify stability between steps, and consensus was defined using the percent agreement criterion. RESULTS: Stability between the first and second Delphi scoring steps was reached in 46 of the 54 statements. By the end of the second Delphi scoring step, consensus was reached on 48 competency statements across eight domains: public health sciences, assessment and analysis, policy and program management, financial management and budgeting, partnerships and collaboration, social and cultural determinants, communication, and leadership. CONCLUSIONS: This study produced a consensus set of core competencies and domains in public health that can be used to assess competencies of public health professionals and revise or develop new training programs to address desired competencies. Findings can also be used to support workforce development by informing competency-based job descriptions for recruitment and performance management in the Indian context, and potentially can be adapted for use in resource-poor settings globally.

How does embedded implementation research work? Examining core features through qualitative case studies in Latin America and the Caribbean.

Innovative strategies are needed to improve the delivery of evidence-informed health interventions. Embedded implementation research (EIR) seeks to enhance the generation and use of evidence for programme improvement through four core features: (1) central involvement of programme/policy decision-makers in the research cycle; (2) collaborative research partnerships; (3) positioning research within programme processes and (4) research focused on implementation. This paper examines how these features influence evidence-to-action processes and explores how they are operationalized, their effects and supporting conditions needed. We used a qualitative, comparative case study approach, drawing on document analysis and semi-structured interviews across multiple informant groups, to examine three EIR projects in Bolivia, Colombia and the Dominican Republic. Our findings are presented according to the four core EIR features. The central involvement of decision-makers in EIR was enhanced by decision-maker authority over the programme studied, professional networks and critical reflection. Strong research-practice partnerships were facilitated by commitment, a clear and shared purpose and representation of diverse perspectives. Evidence around positioning research within programme processes was less conclusive; however, as all three cases made significant advances in research use and programme improvement, this feature of EIR may be less critical than others, depending on specific circumstances. Finally, a research focus on implementation demanded proactive engagement by decision-makers in conceptualizing the research and identifying opportunities for direct action by decision-makers. As the EIR approach is a novel approach in these low-resource settings, key supports are needed to build capacity of health sector stakeholders and create an enabling environment through system-level strategies. Key implications for such supports include: promoting EIR and creating incentives for decision-makers to engage in it, establishing structures or mechanisms to facilitate decision-maker involvement, allocating funds for EIR, and developing guidance for EIR practitioners.

Influence of community scorecards on maternal and newborn health service delivery and utilization.

INTRODUCTION: The community score card (CSC) is a participatory monitoring and evaluation tool that has been employed to strengthen the mutual accountability of health system and community actors. In this paper we describe the influence of the CSC on selected maternal and newborn service delivery and utilization indicators. METHODS: This was a mixed methods study that used both quantitative and qualitative data collection methods. It was implemented in five sub-counties and one town council in Kibuku district in Uganda. Data was collected through 17 key informant interviews and 10 focus group discussions as well as CSC scoring and stakeholder meeting reports. The repeated measures ANOVA test was used to test for statistical significance. Qualitative data was analyzed manually using content analysis. The analysis about the change pathways was guided by the Wild and Harris dimensions of change framework. RESULTS: There was an overall improvement in the common indicators across sub-counties in the project area between the 1st and 5th round scores. Almost all the red scores had changed to green or yellow by round five except for availability of drugs and mothers attending Antenatal care (ANC) in the first trimester. There were statistically significant differences in mean scores for men escorting their wives for ante natal care (ANC) (F(4,20) = 5.45, P = 0.01), availability of midwives (F(4,16) =5.77, P < 0.01), availability of delivery beds (F(4,12) =9.00, P < 0.01) and mothers delivering from traditional birth attendants (TBAs), F(4,16) = 3.86, p = 0.02). The qualitative findings suggest that strengthening of citizens' demand, availability of resources through collaborative problem solving, increased awareness about targeted maternal health services and increased top down performance pressure contributed to positive changes as perceived by community members and their leaders. CONCLUSIONS AND RECOMMENDATIONS: The community score cards created opportunities for community leaders and communities to work together to identify innovative ways of dealing with the health service delivery and utilization challenges that they face. Local leaders should encourage the availability of safe spaces for dialogue between communities, health workers and leaders where performance and utilization challenges can be identified and solutions proposed and implemented jointly.

HIT-COVID, a global database tracking public health interventions to COVID-19.

The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national and local governments, including border restrictions, school closures, mandatory facemask use and stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making in response to the current and future pandemics. In order to estimate the effectiveness of these interventions, detailed descriptions of their timelines, scale and scope are needed. The Health Intervention Tracking for COVID-19 (HIT-COVID) is a curated and standardized global database that catalogues the implementation and relaxation of COVID-19 related PHSM. With a team of over 200 volunteer contributors, we assembled policy timelines for a range of key PHSM aimed at reducing COVID-19 risk for the national and first administrative levels (e.g. provinces and states) globally, including details such as the degree of implementation and targeted populations. We continue to maintain and adapt this database to the changing COVID-19 landscape so it can serve as a resource for researchers and policymakers alike.

The need for COVID-19 research in low- and middle-income countries.

In the early months of the pandemic, most reported cases and deaths due to COVID-19 occurred in high-income countries. However, insufficient testing could have led to an underestimation of true infections in many low- and middle-income countries. As confirmed cases increase, the ultimate impact of the pandemic on individuals and communities in low- and middle-income countries is uncertain. We therefore propose research in three broad areas as urgently needed to inform responses in low- and middle-income countries: transmission patterns of SARS-CoV-2, the clinical characteristics of the disease, and the impact of pandemic prevention and response measures. Answering these questions will require a multidisciplinary approach led by local investigators and in some cases additional resources. Targeted research activities should be done to help mitigate the potential burden of COVID-19 in low- and middle-income countries without diverting the limited human resources, funding, or medical supplies from response activities.