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A risk assessment tool for resumption of research activities during the COVID-19 pandemic for field trials in low resource settings



The spread of severe acute respiratory syndrome coronavirus-2 has suspended many non-COVID-19 related research activities. Where restarting research activities is permitted, investigators need to evaluate the risks and benefits of resuming data collection and adapt procedures to minimize risk.


In the context of the multicountry Household Air Pollution Intervention (HAPIN) trial conducted in rural, low-resource settings, we developed a framework to assess the risk of each trial activity and to guide protective measures. Our goal is to maximize the integrity of reseach aims while minimizing infection risk based on the latest scientific understanding of the virus.


We drew on a combination of expert consultations, risk assessment frameworks, institutional guidance and literature to develop our framework. We then systematically graded clinical, behavioral, laboratory and field environmental health research activities in four countries for both adult and child subjects using this framework. National and local government recommendations provided the minimum safety guidelines for our work.


Our framework assesses risk based on staff proximity to the participant, exposure time between staff and participants, and potential viral aerosolization while performing the activity. For each activity, one of four risk levels, from minimal to unacceptable, is assigned and guidance on protective measures is provided. Those activities that can potentially aerosolize the virus are deemed the highest risk.


By applying a systematic, procedure-specific approach to risk assessment for each trial activity, we were able to protect our participants and research team and to uphold our ability to deliver on the research commitments we have made to our staff, participants, local communities, and funders. This framework can be tailored to other research studies conducted in similar settings during the current pandemic, as well as potential future outbreaks with similar transmission dynamics.

The trial is registered with NCT02944682 on October 26. 2016 .

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The spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and resulting coronavirus disease 2019 (COVID-19) has led to the temporary suspension of many non-COVID-19 related research activities worldwide. Where feasible, studies are considering remote data collection by telephone or web-based conferencing [1,2,3]. However, this approach is often not possible when performing anthropometric measurements, specimen collection, or when investigators need to make other direct observations. Even temporary suspension of research activities can potentially cause harm if investigators are evaluating an intervention that is hypothesized to be beneficial. Further, the suspension of data collection could result in loss of study power and potentially introduce bias. Every day, we are gaining a greater understanding of the transmissibility of SARS-CoV-2, and this knowledge increases our ability to safely resume a wide variety of non-COVID-19 related research activities [3, 4]. Where local law or institutional regulations permit activities to restart, investigators need to evaluate the risks and benefits to both research staff and participants of resuming data collection. To safely conduct study activities, researchers need to develop standardized procedures that are based on realistic assessment of these risks, provide guidance on where and when they are manageable, as well as how to minimize the risk with physical distance measures and appropriate personal protective equipment (PPE).

Investigators in the Household Air Pollution Intervention Network (HAPIN) trial initially suspended data collection due to the pandemic in March 2020 and have since restarted collection of behavioural, environmental, biological and clinical measurements during the fifth year of a five-year, multi-country trial [5,6,7,8]. HAPIN is a randomized controlled trial in rural areas of Guatemala, India, Peru, and Rwanda that is assessing the health benefits of providing liquefied petroleum gas (LPG) stoves and an 18-month supply of free LPG to 3200 households that otherwise depend on solid biomass fuel (wood, animal dung, or crop residue) for cooking. Measurements of cooking behavior, personal and in-home exposure to air pollution, biological samples and clinical measurements are being collected longitudinally from pregnant women and their newborns in every household, along with an older, non-pregnant adult woman, if she resides in the house [5,6,7,8]. Our study involves home visits, as well as visits to health centers and hospitals during the woman’s pregnancy and the first year of the child’s life.

As SARS-CoV-2 spread globally, governments in all four countries implemented public safety restrictions that limited activities to those designated as essential. Essential activities varied across settings and during the initial period of restrictions. Research activities were not considered essential. However, LPG delivery for cooking was considered essential in all four countries. In Guatemala and Rwanda, our research teams were permitted to continue delivering LPG to study households without disruption. In India, the gas companies continued to deliver refill tanks to study participants. In Peru, our team was limited in its ability to deliver gas during the initial weeks of the restrictions, but we were later able to re-establish services with a local gas company for delivery.

With permission to continue delivery of the LPG intervention, we immediately implemented changes in our delivery protocols to minimize SARS-CoV-2 risk. Further, in anticipation of the additional easement of movement restrictions in countries around the world, we reviewed the literature for guidance on strategies researchers have used for assessing the risk of activities during COVID-19 or other pandemics, and found a dearth of available guidance. Perhaps the most relevant existing framework is that proposed by Lumeng and colleagues, which was designed for research focused in clinical settings in the U.S.A. Thus, we developed a risk assessment tool with the guiding principle of ethical research to minimize the potential risks to research staff, participants and rural communities participating in the HAPIN trial research settings. We wanted our risk assessment tool to allow researchers to assess the risk of each study activity utilizing the same general criteria to support management decisions across this large multinational, multi-disciplinary study with both competing and complementary activities. Although our risk assessment tool has been designed within the framework of specific activities of the HAPIN trial, we report here on our approach, which can be applied to other research contexts and questions in similar settings.


In developing our risk assessment tool, we drew on a combination of expert consultations, government regulations, national and local expertise, institutional guidance and review of emerging literature. We queried our multi-national panel of investigators and field team leaders from across the trial with expertise in the disciplines of clinical medicine and imaging, nursing, environmental science, epidemiology, behavioral science, community engagement and statistics, along with the trial funders who provide scientific guidance to the HAPIN trial. We sought input from local community leaders, the Ministries of Health, universities and non-governmental organizations regarding appropriate operations and safety concerns. We consulted with the Institutional Review Boards (IRBs) and Data and Safety Monitoring Board (DSMB) presiding over the trial regarding resumption of activities. We drew upon historical occupational health frameworks for infectious disease biosafety and risk assessment and the most recent peer-reviewed and grey literature about infection dynamics. We also considered staff experience. Using all of these inputs, we built a framework to evaluate risk of exposure to SARS-CoV-2 [3]. Our intent was to develop criteria that were clear, simple and actionable for field managers and staff to implement, and to recommend appropriate practices and materials, in accordance with the risk level of each procedure and perceived risk threshold.

While SARS-CoV2 research findings are still emerging, our assessment is based on the consensus that aerosolization and droplet carriage of virus, primarily from coughing, sneezing, singing, crying, talking, are the predominant modes of infection. It is unclear how long the virus remains in the air. Fomites from surface contact may also contribute to transmission, but are likely a smaller risk. Evidence of SARS-CoV-2 presence has been detected in urine, stool, breast milk, semen and blood, but we are not aware of documented transmission through these bodily fluids at the time of this publication. Furthermore, the risk of transmission is greatest in the two days preceding onset of symptoms and continues afterward for at least ten days, and up to twenty days in immunosuppressed patients. Because documented asymptomatic carriage has been widely reported, we assumed that any staff member, collaborator or community participant might be shedding the virus. Small children (especially infants) appear to be infected at the same rate as adults, but have more mild disease and thus may be unknowingly spreading disease. We agreed that viral transmissibility and the true prevalence of COVID-19 are not clearly known in any of our study sites due to limited testing. We also note that recent seroprevalence studies have reported that case burdens are likely underreported. As such, we chose to err on the side of caution and assume moderate to substantial incidence of disease in all our settings. Therefore, risk was defined as large-scale, uncontrolled community transmission. When widespread vaccination has been achieved in our settings and/or when there are other indications of lower prevalence of disease in our sites, we may adjust our risk levels accordingly.

We assessed each HAPIN data collection activity among each group of participants (pregnant woman /new mother, infant, or non-pregnant older adult woman) because the risks may vary with each participant group. Data collection activities were graded and agreed upon by our team of scientists. Local site investigators were asked to report perceived concerns by staff and participants in their communities. Risk factors and definitions were presented to the HAPIN steering committee, which met weekly, for feedback before adoption. Even with adoption by the steering committee, if local community risk factors at the sites did not allow continued trial activities, the activity was stopped until safety could be ensured. Standard Operating Procedures were developed for the resumption of study activities and included guidance on screening staff and participants for Covid-19 symptoms, transporting staff in project vehicles, cleaning equipment and surfaces, conducting home visits and health facility survelliance, and quarantining for suspected exposures to the virus. These documents are reviewed monthly by two assigned investigators on the trial to reflect they reflect the most up to date knowledge of transmission dynamics and local risk.


Evaluation of risk criteria for each procedure included the age of participant, location, required physical proximity, exposure time, aerosolization potential, and criteria for use of PPE (Table 1). Using these criteria we established a four level schedule that ranged from minimal to unacceptably high risk (Table 2). We then proceeded to assess each research activity according to the criteria outlined in Table 1 and assigned a risk level and appropriate PPE to each of these. We assessed research activities that included LPG fuel delivery, administration of tablet-based surveys (e.g. questionnaires asked of mothers about their children’s health), data downloads from environmental monitors, personal exposure assessment to household air pollution, biological sample collection (e.g. urine, nasal swabs, venous blood) and lab processing of biological samples in the field laboratories, clinical measures (e.g. newborn birth weight, lung ultrasound, blood pressure), observations in homes of pregnant women/new mothers, children, and vascular procedures in adults (Additional file 1).

Table 1 Risk Assessment Framework
Table 2 Semi-quantitative risk schedule

Protective measures available in our settings were: a) where feasible, data collection was completed by telephone; b) where possible, face-to-face activities were conducted outside; c) when inside homes, clinics or offices, staff and participants minimized the number of people in the room; d) rigourous hygiene for staff, materials, equipment and surfaces were employed at all times; e) appropriate PPE was used based on the context and activity; f) under very high risk conditions, the visit or the procedure was suspended.

Using this assessment and taking necessary measures for protection, almost all of our research activities were deemed to pose potentially manageable risks. Biological sample collection spanned a range of assigned risk due to differences in participant-staff interaction. The activities with the highest level of risk were those that potentially aerosolize the virus during the procedure. For example, urine collection requires minimal contact (i.e., field workers instruct the participant to collect and store the urine sample until it can be retreived) resulting in low risk to both the participant and the study staff. However, dried blood spot collection from capillary blood draws from infants (who are unable to wear a mask and often cry during the procedure) could feasibly put field workers at high risk (examples of two procedures are provided in Table 1; all procedures are described in the Additional file 1). To illustrate Level 4 activities, we identified several activities that were not part of our protocol, but that could pose unmanageable risks (e.g. bronchoscopy, sputum inducting procedures, cardiopulmonary resusitation) for routine research in the pandemic context (Table 2).


Our risk assessment framework uses a four-level risk schedule that is flexible, allowing adjustment for changes to risk measures and definitions as new evidence emerges about virus transmission. The approach and risk assessment tool we present here can be adapted by other investigators who are assessing and managing the risk posed in their own research during the coronavirus pandemic. However, prior to the deployment of risk assessment tools such as ours, researchers, in association with community members, IRBs, DSMBs, and grant funders need to evaluate the importance of any activity related to the primary aims of a trial weighed against the associated risk of performing the research activity. Obviously, local health regulations related to mobility, home or clinic visits by researchers supersede any of these judgments.

The framework offers a way to systematically evaluate diverse research activities involving different disciplines using the same basic criteria and a scoring system to compare associated risk for a given procedure. It also provides clear guidance for field teams on the appropriate PPE and practices in the context of limited resource environments, and thus appropriately utilizes limited PPE where it may be scarce and expensive. Despite these strengths, there are limitations. Our framework does not make recommendations on whether or not to continue an activity – e.g. through an explict cost-benefit algorithm. Decisions on what research should be continued in the presence of risk also require a careful assessment of benefits. We chose to make the risk-benefit calculation and decisions regarding which activities to suspend an independent process from assessment of risk. In our context, an efficacy trial, we are in equipoise regarding the potential benefits of the intervention to participants. Thus, analysis of benefits can only be honestly assessed in terms of the potential benefit of a given activity to the integrity of the trial, not to trial participants as maybe the case for other kinds of clinical research. Among the criteria we used to examine potential benefits of risk in the HAPIN trial were whether or not the aim of any given procedure supports a primary, secondary or tertiary (exploratory) outcome of the trial protocol. This evaluation is made by the HAPIN Steering Committee.

Furthermore, we do not factor in specific local regulations into the matrix in an a priori fashion, and thus leave it to local investigators and study teams to adjust for these [9]. Because of this, our framework specifications may need to be adjusted to meet local institutional or government regulations regarding PPE or other safety practices. Finally, our framework is limited by the current evidence regarding transmission risk and should be reevaluated and updated as our understanding grows. Such updates will require evaluation by scientists who are up to date on the current literature and recommendations regarding transmission and appropriate PPE, and must be sensitive to changes in local practices. While the recently discovered variants of the SARS-COV-2 suggests higher transmission risk, we do not have experimental or observation evidence at this time that our framework should be significantly changed [10]. However, should evidence emerge that for example, cloth masks are less protective or residual survival of the virus on surfaces is greater, we would need to make changes to our protocols [11].

Of note, the most relevant existing framework we are aware of for resumption of research in the COVID-19 pandemic context is that published by Lumeng and colleagues designed for U.S. clinical research. Our framework was developed independently and for a different context, but their basic approach is similar to ours in that it provides for a high level set of principles, a tiered framework, and risk evaluation that includes factors such as duration and distance of contact between researchers and patients. Our framework adds a great detail to risk evaluation in more complex and varied environments, and outlines how these can apply to specific and diverse research tasks (See Additional file 1: Tables 1–5). Our framework also differs from Lumeng et al’s in that we have not included an explict benefit analysis, as described in the preceding paragraphs.

This risk analysis takes place in the dynamic context of a global pandemic. We plan to reassess each activity using our tool at least monthly as more information about SARS-CoV-2 transmission and the local epidemics becomes available. While the pandemic has been disruptive to our research, we believe there may also be some benefits from the shift in some data collection methods. For example, collecting data via telephone instead of visiting in-person increases time use efficiency for staff and decreases the burden of household visits on participants. Costs are lower, with less fuel used to travel via truck or motorbike to distant participant homes. On the other hand, telephone surveys may introduce uncertainty, if questions are complex in nature and may lead to poor response rates or lower quality data [12]. We acknowledge that we have been able to resume study activities in some of our research sites, and attribute this to building relationships with participants over the past several years and the commitment of our local teams and collaborating institutions.

For researchers now facing the need to resume activities that may lead to risk of exposure to staff and participants, we offer the following advice. First, evaluate any scientific developments about risk of infection or severity of disease that might change the calculus fundamentally. Second, convene representatives of your research teams, IRB members, relevant patient groups, stakeholders, and infectious disease experts to evaluate research activities against our framework and risk schedule, and then adapt as necessary with broad input. Third, while the field, clinical and laboratory activities we presented (Tables 1-2, Additional file 1) may be similar in scope to other research activities, we have obviously not presented all of the potential scenarios. Research activities should be adapted to fit individual research needs, reviewed repeatedly by stakeholder groups until consensus is reached, and operationalized using Standard Operating Procedures for each activity stream.

Beyond the risk assessment tool we have outlined above, we offer the following brief description of how we deployed these rules for field teams that may have similar needs. At the beginning of the pandemic, we temporarily suspended all activities except for LPG fuel delivery until risk of the measurements could be assessed and procedures put into place to ensure safety. We continued collecting data by telephone when possible. When in-person contact was permitted by local authorities and local institutional IRBs, we used our framework to guide the appropriate protocols. If designated PPE was not available or could not be used properly at any time, we postponed the activity. Similarly, our rules required goggles or face shields for certain procedures, but participants (especially children) may find these terrifying, especially when combined with masks and gloves. In these situations, it may not be possible to complete the work as planned, and local staff had the autonomy and responsibility to decide whether any activity should proceed.

Finally, our guidance is based on expert opinion and has not been empirically verified at this time. Importantly, our framework does not substitute for the need for coordination and approval of IRBs when protocols are modified.


We are optimistic that by applying this systematic, procedure-specific approach to risk assessment for each research activity, we will minimize the disruption in our trial due to the pandemic and support the completion of our primary outcomes. Our framework can be applied to other field trials in low-resource settings to guide investigators in assessing the risk of each trial activity and implementing appropriate safety measures, where the level of risk is acceptable. While no activity in the current context is completely without risk of infection, utilizing a systematic approach is the optimal way to safeguard research activities, protect research staff and participants, and comply with the ethical obligations to those that have agreed to participate in trials, along with the communities and funders that have supported these efforts.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.



Severe acute respiratory syndrome coronavirus-2


Coronavirus disease 2019


Personal protective equipment


Household Air Pollution Intervention Network


Institutional Review Boards


Data and Safety Monitoring Board


  1. Nicol GE, Piccirillo JF, Mulsant BH, Lenze EJ. Action at a distance: geriatric research during a pandemic. J Am Geriatr Soc. 2020;68(5):922–5.

    Article  Google Scholar 

  2. Bikson M, Hanlon CA, Woods AJ, Gillick BT, Charvet L, Lamm C, et al. Guidelines for TMS/tES clinical services and research through the COVID-19 pandemic. Brain Stimul. 2020;13(4):1124–49.

    Article  Google Scholar 

  3. Padala PR, Jendro AM, Gauss CH, Orr LC, Dean KT, Wilson KB, et al. Participant and caregiver perspectives on clinical research during Covid-19 pandemic. J Am Geriatr Soc. 2020;68(6):E14–e8.

    Article  Google Scholar 

  4. Coronavirus disease (COVID-2019) situation reports Geneva: World Health Organization; 2020 [Available from: Accessed 20 Sept 2020.

  5. Barr DB, Puttaswamy N, Jaacks LM, Steenland K, Rajkumar S, Gupton S, et al. Design and rationale of the biomarker Center of the Household air Pollution Intervention Network (HAPIN) trial. Environ Health Perspect. 2020;128(4):47010.

    Article  CAS  Google Scholar 

  6. Clasen T, Checkley W, Peel JL, Balakrishnan K, McCracken JP, Rosa G, et al. Design and rationale of the HAPIN study: a multicountry randomized controlled trial to assess the effect of liquefied petroleum gas stove and continuous fuel distribution. Environ Health Perspect. 2020;128(4):47008.

    Article  CAS  Google Scholar 

  7. Simkovich SM, Underhill LJ, Kirby MA, Goodman D, Crocker ME, Hossen S, et al. Design and conduct of facility-based surveillance for severe childhood pneumonia in the Household Air Pollution Intervention Network (HAPIN) trial. ERJ Open Res. 2020;6(1).

  8. Johnson MA, Steenland K, Piedrahita R, Clark ML, Pillarisetti A, Balakrishnan K, et al. Air pollutant exposure and stove use assessment methods for the household air pollution intervention network (HAPIN) trial. Environ Health Perspect. 2020;128(4):47009.

    Article  CAS  Google Scholar 

  9. Kigali, Rwanda: Rwanda Biomedical Centre (RBC); [Available from: Accessed 1 Oct 2020

  10. Emerging SARS-CoV-2 Variants: Centers for Disease Control and Prevention [updated January 15, 2021. Available from: Accessed 18 Jan 2021.

  11. Leung K, Shum MH, Leung GM, Lam TT, Wu JT. Early transmissibility assessment of the N501Y mutant strains of SARS-CoV-2 in the United Kingdom, October to November 2020. Euro Surveill. 2021;26(1):2002106.

    Article  Google Scholar 

  12. Carr ECJ, Worth A. The use of the telephone interview for research. NT Res. 2001;6(1):511–24.

    Article  Google Scholar 

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A multidisciplinary, independent Data and Safety Monitoring Board (DSMB) appointed by the National Heart, Lung, and Blood Institute (NHLBI) monitors the quality of the data and protects the safety of patients enrolled in the HAPIN trial. NHLBI DSMB: Nancy R. Cook, Sc.D.; Stephen Hecht, Ph.D.; Catherine Karr, M.D., Ph.D.; Katie H. Kavounis, M.P.H.; Dong-Yun Kim, Ph.D.; Joseph Millum, Ph.D.; Lora A. Reineck, M.D., M.S.; Nalini Sathiakumar, M.D., Dr.P.H.; Paul K. Whelton, M.D.; Gail G. Weinmann, M.D.

Program Coordination: Gail Rodgers, M.D., Bill & Melinda Gates Foundation; Claudia L. Thompson, Ph.D., National Institute of Environmental Health Science (NIEHS); Mark J. Parascandola, Ph.D., M.P.H., National Cancer Institute (NCI); Danuta M. Krotoski, Ph.D., Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD); Joshua P. Rosenthal, Ph.D., Fogarty International Center (FIC); Conception R. Nierras, Ph.D., NIH Office of Strategic Coordination Common Fund; Antonello Punturieri, M.D., Ph.D. and Barry S. Schmetter, B.S., National Heart, Lung, and Blood Institute (NHLBI).

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the U.S. National Institutes of Health or Department of Health and Human Services.

HAPIN Investigators: Vigneswari Aravindalochanan, Kalpana Balakrishnan, Dana Boyd Barr, Vanessa Burrowes, Devan Campbell, Julia McPeek Campbell, Eduardo Canuz, Adly Castañaza, Howard Chang, William Checkley, Yunyun Chen, Marilú Chiang, Maggie L. Clark, Thomas Clasen, Rachel Craik, Mary Crocker, Victor Dávila-Román, Lisa de las Fuentes, Oscar De Léon, Anaité Diaz-Artiga, Ephrem Dusabimana, Lisa Elon, Juan Gabriel Espinoza, Irma Sayury Pineda Fuentes, Sarada Garg, Dina Goodman, Savannah Gupton, Meghan Hardison, Stella Hartinger, Steven A. Harvey, Mayari Hengstermann, Phabiola Herrera, Shakir Hossen, Penelope Howards, Lindsay Jaacks, Shirin Jabbarzadeh, Michael A. Johnson, Abigail Jones, Katherine Kearns, Miles Kirby, Jacob Kremer, Margaret Laws, Patricia M. Lenzen, Jiawen Liao, Amy Lovvorn, Fiona Majorin, Eric McCollum, John P. McCracken, Rachel M. Meyers, J. Jaime Miranda, Erick Mollinedo, Lawrence Moulton, Krishnendu Mukhopadhyay, Luke Naeher, Abidan Nambajimana, Florien Ndagijimana, Azhar Nizam, Jean de Dieu Ntivuguruzwa, Aris Papageorghiou, Jennifer Peel, Ricardo Piedrahita, Ajay Pillarisetti, Naveen Puttaswamy, Elisa Puzzolo, Ashlinn Quinn, Sarah Rajkumar, Usha Ramakrishnan, Davis Reardon, Ghislaine Rosa, Joshua Rosenthal, P. Barry Ryan, Zoe Sakas, Sankar Sambandam, Jeremy Sarnat, Suzanne Simkovich, Sheela Sinharoy, Kirk R. Smith, Kyle Steenland, Damien Swearing, Gurusamy Thangavel, Lisa M. Thompson, Ashley K. Toenjes, Lindsay Underhill, Jean Damascene Uwizeyimana, Viviane Valdes, Amit Verma, Lance Waller, Megan Warnock, Kendra Williams, Wenlu Ye, Bonnie N. Young.

The Healthcare Delivery Network at Medstar Health Research Institute supported the submission of this manuscript as Suzanne M. Simkovich transferred her affiliation.

Role of study sponsor

Program officials from all of the above listed organizations participated in regular conference calls, made recommendations about study design and participated in final decision-making on the trial study protocol for the overall HAPIN trial; program officials from the National Heart, Lung and Blood Institute, National Institute of Environmental Health Sciences, and the Bill & Melinda Gates Foundation commented on drafts of this substudy; however, no program officials had a role in the writing of this report or decision to submit it for publication. The corresponding authors share final responsibility for the decision to submit for publication.


This study is funded by the U.S. National Institutes of Health (cooperative agreement 1UM1HL134590) in collaboration with the Bill & Melinda Gates Foundation (OPP1131279). Participating NIH organizations include the National Heart, Lung and Blood Institute, National Institute of Environmental Health Sciences, National Cancer Institute, National Institute of Child Health and Human Development, Fogarty International Center, and the NIH Common Fund. Suzanne M. Simkovich was supported by funding from the National Heart, Lung and Blood Institute U., the National Heart, Lung, and Blood Institute 1F32HL143909–01, the National Heart, Lung, and Blood Institute K12HL137942. Lindsay J. Underhill and Kendra Williams were supported by Research Training Grant D43TW009340 (MPIs: Buekens, Checkley, Chi, Kondwani) funded by United States National Institutes of Health through the following Institutes and Centers: Fogarty International Center, National Institute of Neurological Disorders and Stroke, National Institute of Mental Health, National Heart, Lung, and Blood Institute and the National Institute of Environmental Health Sciences along with the National Heart, Lung, and Blood Institute 1F32HL143909–01.

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Authors and Affiliations




SS & JR conceptualized design of the tool, built the tool, completed the risk assessment of each activity, provided scientific input to assess each activity and wrote the manuscript. LT and MC built the tool, provided scientific input to assess each activity and participated in the writing of the manuscript.TC, WC, AL, JP oversaw the trial’s decisions in risk and benefit and the building of the risk assessment tool and provided comments to the writing of the manuscript. KB, AB, WC, TC, VDR, ADA, LF, SH, MK, AL, EM, EM, ED, JP, AQ, GR, provided scientific input into the design of the tool, reviewed and provided input on each activity, and provided comments to the writing of the manuscript. LU, KW, BY provided scientific input into the design of the tool, completed the assessment of activities, provided scientific input on the tool and provided comments to the writing of the manuscript. All Authors have reviewed and approved the final manuscript.

Corresponding author

Correspondence to Suzanne M. Simkovich.

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This project is a component of a larger clinical trial. The overall study protocol was reviewed and approved by institutional review boards (IRBs) or Ethics Committees at Emory University (00089799), Johns Hopkins University (00007403), Sri Ramachandra Institute of Higher Education and Research (IEC-N1/16/JUL/54/49) and the Indian Council of Medical Research – Health Ministry Screening Committee (5/8/4–30/(Env)/Indo-US/2016-NCD-I), Universidad del Valle de Guatemala (146–08-2016/11–2016) and Guatemalan Ministry of Health National Ethics Committee (11–2016), A.B. PRISMA (CE29841.17), the London School of Hygiene and Tropical Medicine (11664–5) and the Rwandan National Ethics Committee (No.357/RNEC/2018), and Washington University in St. Louis (201611159). Written consent was obtained from all participants.

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Simkovich, S.M., Thompson, L.M., Clark, M.L. et al. A risk assessment tool for resumption of research activities during the COVID-19 pandemic for field trials in low resource settings. BMC Med Res Methodol 21, 68 (2021).

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