Abstract
Pneumonia is both a treatable and preventable disease but remains a leading cause of death in children worldwide. Household air pollution caused by burning biomass fuels for cooking has been identified as a potentially preventable risk factor for pneumonia in low- and middle-income countries. We are conducting a randomised controlled trial of a clean energy intervention in 3200 households with pregnant women living in Guatemala, India, Peru and Rwanda. Here, we describe the protocol to ascertain the incidence of severe pneumonia in infants born to participants during the first year of the study period using three independent algorithms: the presence of cough or difficulty breathing and hypoxaemia (≤92% in Guatemala, India and Rwanda and ≤86% in Peru); presence of cough or difficulty breathing along with at least one World Health Organization-defined general danger sign and consolidation on chest radiography or lung ultrasound; and pneumonia confirmed to be the cause of death by verbal autopsy. Prior to the study launch, we identified health facilities in the study areas where cases of severe pneumonia would be referred. After participant enrolment, we posted staff at each of these facilities to identify children enrolled in the trial seeking care for severe pneumonia. To ensure severe pneumonia cases are not missed, we are also conducting home visits to all households and providing education on pneumonia to the mother. Severe pneumonia reduction due to mitigation of household air pollution could be a key piece of evidence that sways policymakers to invest in liquefied petroleum gas distribution programmes.
Abstract
We describe a facility-based surveillance strategy to determine the incidence of pneumonia in children less than 1 year of age across study settings in Guatemala, India, Peru and Rwanda http://bit.ly/31RjDQy
Introduction
Pneumonia remains a leading cause of death in children <5 years of age despite recent improvements in vaccination coverage and decreased exposure to several key risk factors, such as poverty, malnutrition and overcrowding [1]. Other remaining risk factors, such as household air pollution, may explain the higher disease burden in low-resource settings. Household air pollution is primarily produced by the inefficient burning of solid fuels used for cooking and heating (e.g. wood, dung, agricultural waste products and coal) and consists of fine particulate matter (PM2.5), carbon monoxide, black carbon, nitrogen dioxide and other pollutants known to be associated with negative health outcomes [1–4]. As >300 million children are regularly exposed to household air pollution, it has been identified as a preventable risk factor for paediatric pneumonia and a prime target for interventions in low- and middle-income countries (LMICs) [1, 2, 5].
The link between household air pollution exposure and pneumonia is supported by numerous observational studies and is biologically plausible [2]. Pooled estimates from systematic reviews suggest that household air pollution exposure is associated with a higher risk of acute lower respiratory infections [3, 4, 6]. Utilising previous literature on household air pollution and other PM2.5 exposures, Burnett et al. [7] constructed an integrated exposure–response function predicting that the greatest reductions in acute lower respiratory infections occur when PM2.5 concentrations are reduced below the World Health Organization (WHO) annual interim target level of 35 μg·m−3 [7–9]. However, health benefits are still possible above this threshold, as demonstrated by Steenland et al. [10] who used the integrated exposure–response function to simulate the hypothetical impacts of a liquefied petroleum gas (LPG) stove intervention on paediatric acute lower respiratory infections across multiple exposure categories. While these results provide evidence that lowering household air pollution exposure may lead to reductions in acute lower respiratory infection disease burden, their causal inference is limited since they are largely based on observational studies vulnerable to uncontrolled confounding [11, 12].
Evidence of an association between household air pollution and pneumonia from randomised controlled trials (RCTs) is sparse, as improved biomass stove interventions may not have sufficiently reduced exposure to produce detectable effects on pneumonia incidence. For example, Mortimer et al. [13] conducted an RCT in Malawi of 10 750 children whose households were cluster-randomised to either receive a cleaner-burning, biomass-fuelled stove, or to continue with their usual cooking practices. While they reported no reduction in pneumonia incidence among children <5 years of age as a result of the stove intervention, those investigators have yet to publish the impact of the intervention on exposure levels. However, they reported that the stoves were unreliable and needed frequent repair.
Smith et al. [14] conducted an RCT in Guatemala of 534 households that were randomised to receive an improved biomass burning stove with a chimney (intervention) or to continue cooking over open fires. Intention-to-treat analyses indicated nonsignificant and significant reductions in the risk of all and severe (i.e. hypoxaemic) physician-diagnosed pneumonia, respectively, in intervention households, compared to control (all-pneumonia rate ratio (RR)0.84, 95% CI 0.63–1.13; severe pneumonia RR 0.67, 95% CI 0.45–0.98). Meanwhile, the exposure–outcome analysis across both groups showed an association between reductions in PM2.5 and physician-diagnosed child pneumonia (RR 0.82, 95% CI 0.70–0.98) [14].
Designed to address the aforementioned gaps, the Household Air Pollution Intervention Network (HAPIN) trial is a multicentre efficacy trial aiming to provide robust evidence of the impacts of an LPG stove intervention on household air pollution exposures and health across the lifespan. Here, we describe the protocol for determining the effect of the intervention on the incidence of severe pneumonia in children less <1 year of age, including our approach to facility-based surveillance. We hypothesise that continuous LPG use for cooking will lead to a reduction in the incidence of severe pneumonia during the first year of life, compared to cooking with biomass fuels.
Methods
Study design and setting
HAPIN is an RCT where the intervention includes distribution of an LPG stove, continuous fuel and behaviour change messaging in 3200 households across four LMICs: Guatemala, India, Peru and Rwanda. Each of the four Intervention Research Centers (IRCs) were selected based on their consistent use of biomass-fuelled stoves as well as their unique geographical, sociodemographic and environmental exposure settings. Each IRC is recruiting 800 pregnant women (18– <35 years of age, 9– <20 weeks gestation) and ∼200 older women (35–80 years of age) that live with the pregnant participants. Each household is randomly assigned to either the intervention group that receives an LPG stove with an ∼18-month continuous supply of LPG fuel and behavioural change messaging, or the control group that continues with usual cooking practices and receives compensation [15]. After delivery, each mother–child pair and older adult woman are followed longitudinally until the child reaches 1 year of age. 24-h personal exposures to PM2.5 and CO are being collected at baseline, twice post-randomisation during pregnancy and three times post-randomisation during the child's first year of life. Study procedures specific to the pneumonia component of the HAPIN trial are displayed in table 1. The description of the pneumonia surveillance protocol presented in this manuscript is reported according to the “Standardised Protocol Items: Recommendations for Intervention Trials” 2013 Checklist [16, 17].
Timeline of the pneumonia component of the Household Air Pollution Intervention Network trial
Development of pneumonia surveillance and case ascertainment
Our pneumonia surveillance and case ascertainment strategy is based on three workshops with external experts to discuss the current challenges related to defining and identifying pneumonia in intervention trials [18]. These workshops resulted in four key strategic decisions. First, we chose a definition of pneumonia with an emphasis on specificity to measure the effect of the intervention on severe pneumonia, and to help ensure objective and uniform application across the study settings [12–14]. Second, as incidence and mortality of severe pneumonia is highest in the first year of life, we chose to limit follow-up to this age period [19]. Third, we instituted a facility-based surveillance plan in which IRC field staff are stationed at sentinel health facilities where children are likely to be referred to or present with severe pneumonia [20, 21]. Fourth, we are conducting household visits when the child is 1, 3, 6, 9 and 12 months old to identify missed cases of severe pneumonia, and inform additional facility-based surveillance efforts.
Instruments for data collection
Standardised case report forms (table 2) and their accompanying instructions were developed by our research group and translated into local languages. Data collected by HAPIN staff is entered into REDCap (Vanderbilt University, Nashville, TN, USA) in real time and uploaded nightly to a secure server at Emory University (Atlanta, GA, USA) operated by the HAPIN Data Management Core [22, 23].
Forms used for the pneumonia outcome of the Household Air Pollution Intervention Network (HAPIN) trial
Case definition of severe pneumonia
We adapted the most recent WHO severe pneumonia case definition [24] for this trial. HAPIN severe pneumonia, our primary outcome, is identified and defined in three ways among children <1 year of age: 1) reported or observed cough and/or difficulty breathing (onset of symptoms <14 days), and either hypoxaemia measured by pulse oximetry (≤92% in Guatemala, India and Rwanda, and ≤86% in Peru) or administration of oxygen through a mechanical ventilator, noninvasive ventilation or a high-flow nasal cannula; 2) reported or observed cough and/or difficulty breathing (onset of symptoms <14 days), at least one general danger sign, and consolidation on lung ultrasound or chest radiography; or 3) pneumonia confirmed to be cause of death by verbal autopsy conducted by HAPIN staff (figure 1).
Household Air Pollution Intervention Network (HAPIN) severe pneumonia case definition algorithm. This flowchart displays the HAPIN pneumonia case definition algorithm. First, children <12 months of age are screened for observed or reported cough or difficulty breathing. Second, children that screen positive for cough or difficulty breathing are then assessed for severe disease that includes at least one general danger sign or hypoxaemia. Hypoxaemia is defined by a pulse oximetry measurement ≤92% at altitudes <2500 m (Guatemala, India and Rwanda) or ≤86% at altitudes ≥2500 m (Peru), or if a child received mechanical ventilation, noninvasive ventilation or high-flow nasal cannula regardless of measured oxygen saturation. Third, a positive lung ultrasound (LUS) or chest radiographic image is required for children with nonhypoxaemic disease. Hypoxaemia is considered both a measure of severity and objective diagnosis. Please note that unexamined children who die and are diagnosed with pneumonia by verbal autopsy are also considered a case. Courtesy of graphic designer Anne Shuler Toole.
Secondary outcomes are evaluated similarly to the primary outcomes but use alternate case definitions of pneumonia, including: WHO severe pneumonia without confirmatory imaging (lung ultrasound or chest radiography); and WHO severe pneumonia and hypoxaemia using WHO definitions [25, 26]. For primary outcomes, we will use prospective data collected for the primary outcome; whereas for secondary outcomes, retrospective data will be collected via medical chart review. As children may be placed on oxygen prior to assessment by HAPIN staff, pulse oximetry measurements from the hospital chart may also be used for the primary outcome. Furthermore, as children with pneumonia are often placed on low-flow supplemental oxygen regardless of whether they are hypoxaemic, we decided not to include low-flow supplemental oxygen without accompanying documented pulse oximetry reporting hypoxaemia. Hypoxaemia cut-offs in Puno, Peru (located 3825 m above sea level) were based on the 10th centile for oxygen saturation of healthy children, established during formative research [27]. The cut-off for hypoxaemia at altitudes <2500 m was selected based on data from Malawi showing an increased mortality from pneumonia in children below these oxygen saturations and from contemporary child pneumonia epidemiology studies that used similar thresholds [28–31]. Repeat episodes of severe pneumonia have to be separated by at least 14 days after last hospital discharge or 30 days after hospital admission if the discharge date is unknown. The descriptions of all clinical signs and symptoms are provided in table 3.
Clinical signs, symptoms or findings of the Household Air Pollution Intervention Network pneumonia definition
Formative research
To determine where to perform facility-based surveillance in each IRC, we identified health facilities where HAPIN children with suspected severe pneumonia may be treated or referred. These health facilities are typically located within or near each IRC study area, and have available: beds for children 24 h during all days of the week; pulse oximetry; imaging capabilities; supplemental oxygen; and antibiotics. HAPIN team leaders met with their respective ministries of health and other stakeholders to develop a list of all such facilities. Next, HAPIN staff administered a survey to facility leadership regarding the aforementioned resources as well as the patient population served, facility personnel, other available equipment and processes of care for children with respiratory symptoms. Based on this information, local HAPIN leadership selected a set of hospitals to serve as sentinel facilities in which to conduct facility-based surveillance.
Education of mothers and caregivers
A standardised pneumonia education programme is administered to participants before and immediately after the birth of the child to ensure consistent knowledge and awareness. HAPIN staff educate the mothers on general danger signs for pneumonia using video presentations and/or custom-designed posters with culturally representative images and messaging (figure 2). Education materials are informed by recommendations from the WHO and each IRC's ministry of health. HAPIN staff review this material, particularly recognising danger signs, with the mother or caregiver at each of the five child health home visits.
Pneumonia education posters. A custom poster illustrating danger signs was developed for each Intervention Research Centre to educate mothers on pneumonia. Household Air Pollution Intervention Network team hangs these posters in a conspicuous area of participants' homes. Courtesy of illustrator Laura Ruiz.
Standardisation of clinical assessments
The HAPIN Pneumonia Working Group (PWG) designed a standardised training programme for HAPIN pneumonia staff across all IRCs. The programme consists of both written and visual materials explaining how to recognise and diagnose danger signs that are customised to meet the specific needs of each IRC. Each HAPIN staff member is required to achieve a score ≥80% on a standardised examination that assesses their knowledge of the pneumonia definition and surveillance plan as well as their ability to identify general danger signs. To measure pulse oximetry, each field staff member undergoes a hands-on training with the Masimo Rad-G (Masimo Corporation, Irvine, CA, USA). Manual respiratory count and lower chest wall indrawing training is conducted by requiring HAPIN staff members to review a series of videos and then pass a standardised training examination. These training sessions are conducted at each site by HAPIN staff prior to enrolling any patients. HAPIN pneumonia staff meet with pneumonia leaders at each site on a regularly scheduled basis to answer any questions or concerns. At least semiannually, HAPIN pneumonia staff are required to review the certifying materials with the pneumonia IRC leadership. PWG representatives conduct on-site supervisor visits to IRCs to ensure HAPIN staff are accurately performing assessments of respiratory and danger signs, are using pulse oximeters correctly, and follow the standardised protocols.
Severe pneumonia case identification
The facility-based surveillance plan involves a three-fold approach. First, mothers are asked to alert us by telephone if medical care is sought for the child for any reason. Each IRC has set up a telephone system monitored by HAPIN staff (24 h per day, 7 days per week) for this notification process. As a second-line strategy, on-site surveillance at sentinel hospitals is conducted by HAPIN staff in case caregivers do not notify them before the child arrives at the hospital. HAPIN staff are physically present in the sentinel facilities either during working hours and on-call after hours (Peru, Rwanda and selected facilities in India) or they are present 24 h per day, 7 days per week (Guatemala and selected facilities in India). HAPIN staff work with hospital staff to identify HAPIN children, including evaluating rosters in the emergency department and on the inpatient wards. Each IRC provides mothers/caregivers with items such as hats, bags or identification cards to help identify HAPIN participants (figure 3). Furthermore, during hours where HAPIN staff are not physically present, on-call HAPIN staff members are available once notified that a HAPIN child has presented to the sentinel facility. Emergency department staff in each health facility are asked to notify on-call HAPIN staff by telephone when a HAPIN child presents for any illness, contacting the HAPIN staff through the telephone systems.
Examples of items used to identify Household Air Pollution Intervention Network (HAPIN) children: a) bag with printed HAPIN information given to mothers in Guatemala; b) bag with printed HAPIN information given to mothers along with a HAPIN passport in India; and c) bag given to mothers with a HAPIN name tag in Peru.
All HAPIN children presenting at the sentinel health facilities for any illness are evaluated by HAPIN staff within 24 h of arrival. HAPIN staff do not interfere with the usual care a child receives at the facility but interact with staff about their clinical diagnosis and treatment. HAPIN staff are blinded to whether the child is in the intervention or control group. A data collection survey (pneumonia diagnosis form in a health facility, described in table 2) is completed that provides an algorithm that is uniformly applied across IRCs. In addition, the admission examination and overall hospital course is abstracted from the medical charts using the chart review form to assess key elements to the child's presentation and hospitalisation.
To identify potential gaps in our surveillance system, home visits by HAPIN staff are made at 1, 3, 6, 9 and 12 months of age. If the child had a respiratory illness and/or visited any healthcare facility for any illness since the last home visit based on caregiver recall, HAPIN staff record the name of the facility and date, if known. HAPIN staff then visit the sentinel facility and complete a chart review form. If the child is ill during this home visit, HAPIN field staff refer the child to a health facility.
Chest imaging
When imaging is indicated, a lung ultrasound assessment is performed. Each sonographer undergoes a standardised training process [32]. An expert sonographer travelled to each IRC, and provided didactic and hands-on training in conducting and interpreting lung ultrasounds. A sonographic trainee had to practice five ultrasounds under supervision and then had to correctly interpret 13 out of 15 standardised lung ultrasounds (85%) [32]. Next, the trainee sonographer performs 25 scans and uploads the images into TRICE (TRICE Imaging, Del Mar, CA, USA), a secure image server. An expert assesses the imaging technique of the trainee sonographer. When the trainee can properly scan and interpret 25 ultrasounds, they are certified to perform lung ultrasounds in HAPIN. There are three certified sonographers per IRC (Guatemala, India and Rwanda). Sonographers at each site undergo re-certification processes at least every 6 months.
If a child meets the imaging criteria, a sonographer meets the child at the health facility to perform a lung ultrasound. Sonographers are blinded to the assigned study arm of each participant. The video of the scan captured on the ultrasound is uploaded to TRICE. The sonographer performing the scan will complete an interpretation of the scan to ensure all views were obtained. Two other certified sonographers, who are blinded to the clinical information and each other's interpretation, are randomised to interpret the scan. The sonographers interpreting the image complete the ultrasound interpretation form in TRICE. If there is disagreement between the interpretations of the two readers, an expert sonographer will interpret the image. For quality control, an expert sonographer will also interpret a random set of 20% of the images monthly to ensure standardisation is maintained.
Chest radiography is used when lung ultrasound cannot be performed by HAPIN staff. Use of ultrasound is highly regulated in India. Given logistical difficulties with the availability of study devices, the India IRC uses chest radiography instead. If an ultrasound is not completed at any of the other IRCs, chest radiographs, if available, will be reviewed to determine if the child had severe pneumonia. To obtain high-quality images, posters reminding radiography technicians employed by the sentinel facilities to use techniques were developed and are hung in radiography suites at each sentinel facility. This includes having the child lie flat, squeezing their arms above their head and placing a belt over the child's waist. When an image is obtained, HAPIN staff complete a radiograph collection form and images are stored on TRICE. Digital images are uploaded in either DICOM or jpeg format and radiographic films are digitised.
A panel of radiologists at Sri Ramachandra University (Chennai, India) were trained and certified in HAPIN radiography interpretation according to WHO methodology [33, 34]. A standardised training session was taught by an expert in WHO Chest Radiography in Epidemiological Studies (CRES) interpretation (E.D. McCollum). Each radiologist completed a certification examination of 60 images from the WHO-CRES image library [34]. For certification, each reader must correctly interpret >80% of images. When an image is uploaded into TRICE, two radiologists are randomised to interpret the image. Each will be using standardised monitors. If there is disagreement, then two additional readers (adjudicators) will interpret the image. If the adjudicators disagree, then the final classification will be determined by consensus. For quality control, an expert reader will interpret 20% of images interpreted each month.
Ethical Approval and Dissemination
The study protocol has been reviewed and approved by institutional review boards 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 (CE3571.16), the London School of Hygiene and Tropical Medicine (11664-5) and the Rwandan National Ethics Committee (357/RNEC/2018), and Washington University in St Louis (201611159). The study results will be disseminated to the appropriate stakeholders through presentations, conferences and peer-reviewed journals.
Discussion
This paper describes the protocol for pneumonia case ascertainment in the HAPIN trial. Our definition is sensitive for detecting severe pneumonia in children who present with respiratory symptoms and danger signs, but also adds necessary objectivity and specificity by including hypoxaemia or findings of primary endpoint pneumonia on imaging. For our primary outcome, we require almost entirely prospectively collected data, except for retrospectively collected oxygen saturation or respiratory support data when otherwise not available prospectively. Furthermore, our facility-based surveillance approach allows us to identify severe pneumonia cases without interfering with usual care. Home visits ensure that we minimise the risk of missing cases while obtaining facility visit details helpful for conducting retrospective chart reviews for secondary outcome assessment.
Our approach has several strengths. First, we use a clinically relevant and generalisable pneumonia definition (i.e. WHO-defined severe pneumonia) that has the potential to impact global policies coupled with objective physiological (hypoxaemia) and imaging criteria. This definition is reliable, reproducible globally, optimises the chance of detecting an intervention effect and has been recommended by paediatric pneumonia experts for application in field settings [18]. Sentinel facility surveillance by HAPIN clinical staff, including standardised direct child observation and caregiver interviews, improves the completeness and standardisation of data collection for case screening. Second, to avoid heterogeneous interpretation of clinical signs and symptoms that may occur during medical record review, HAPIN clinical staff are directly observing all child participants and administering a questionnaire about respiratory symptoms and danger signs to the mothers. Third, we are using a standardised surveillance approach across all IRCs, including training, certification and on-site compliance checks (e.g. for pulse oximetry, respiratory examinations and sonography). This has allowed for consistent measurements across sites and avoided the need for an adjudication committee to determine cases. Finally, a standardised educational programme for caregivers ensures homogenous, yet culturally appropriate, messaging for all participants.
Our study also has some potential shortcomings. First, although staff are present most of the time at the sentinel hospitals, it is not feasible to be present in all hospitals 24 h of the day for all days of the week at all sites. For those sites without continuous onsite surveillance, we rely on hospital staff to identify children or mothers to proactively contact HAPIN pneumonia staff. This might lead to a delay in assessment of clinical signs and symptoms. In some cases, the child may either improve after receiving other treatment or die before assessment by HAPIN staff. Fortunately, our surveillance system is rigorously tracked to identify gaps, with measures such as phone systems in place at all IRCs to minimise missed cases. Second, we intentionally do not disrupt existing care to obtain study measurements, which might result in incomplete data, particularly with severe cases that receive supplemental oxygen immediately. To mitigate this risk, we allow oxygen saturation measurements to be recorded by nonstudy hospital staff and, as previously discussed, children that are mechanically ventilated, on noninvasive ventilation or receive high-flow nasal cannula are considered as severe cases. Third, we also recognise that intervention status may impact the ability of a mother or caregiver to notify HAPIN staff that they are seeking care, since it may be more feasible (due to time and/or finances) for the intervention arm to seek care because they are not collecting or paying for fuel. Lastly, imaging approaches are inconsistent across sites as we are unable to implement lung ultrasound in India due to prohibitive sonography regulations. Instead, we are using chest radiography in India, and applying rigorous methodology developed and validated by the WHO CRES working group [34]. Our group has substantial experience using the WHO chest radiograph interpretation, and we will utilise chest radiography in Guatemala, Peru, and Rwanda when lung ultrasound is not obtained [35].
Severe pneumonia reduction, among other clinical outcomes mitigated by household air pollution reduction, could be a key piece of evidence that sways policymakers to invest in clean energy programmes worldwide. Our approach to ascertain severe pneumonia in the HAPIN trial is meticulously designed and implemented with the goal to providing high-quality data and evidence to a field lacking RCTs studying the effects of LPG intervention on paediatric pneumonia.
Acknowledgements
We would like to thank our pneumonia experts who participated in our workshops: Heather Zar of the University of Capetown (Cape Town, South Africa), Harry Campbell of the University of Edinburgh (Edinburgh, UK), Claudio Lanata of the Instituto De Investigacion Nutricional (Lima, Peru), Carina King (Karolinska Institute, Sweden) and Laura Hammitt of Johns Hopkins University (Baltimore, MD, USA). We additionally would like to thank Katerina Lescouflair and Delaney Connolly, both of Johns Hopkins University, for assistance with preparation of the protocols and development of materials.
A multidisciplinary, independent data and safety monitoring board 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: Nancy R. Cook, Stephen Hecht, Catherine Karr, Katie H. Kavounis, Dong-Yun Kim, Joseph Millum, Lora A. Reineck, Nalini Sathiakumar, Paul K. Whelton and Gail G. Weinmann.
Program coordination: Gail Rodgers, Bill & Melinda Gates Foundation; Claudia L. Thompson, National Institute of Environmental Health Science; Mark J. Parascandola, National Cancer Institute; Danuta M. Krotoski, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Joshua P. Rosenthal, Fogarty International Center; Conception R. Nierras, NIH Office of Strategic Coordination Common Fund; Antonello Punturieri and Barry S. Schmetter, NHLBI.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US National Institutes of Health or Department of Health and Human Services.
Footnotes
This study is registered at www.clinicaltrials.gov with identifier number NCT02944682. Sharing of data generated by this project is an essential part of the proposed research and will be accomplished by a variety of means, including presentations at local, national and international scientific meetings, workshops and conferences; publications in peer-reviewed scientific journals; and sharing of final research data. As outlined in the body of the proposal, any presentation or publication arising from the study will have an associated analytic data set consisting of all data values and accompanying documentation. Our plan allows sharing of these data sets among the investigators involved in the project as well as with other interested investigators and members of the general public.
Conflict of interest: S.M. Simkovich has nothing to disclose.
Conflict of interest: L.J. Underhill has nothing to disclose.
Conflict of interest: M.A. Kirby has nothing to disclose.
Conflict of interest: D. Goodman has nothing to disclose.
Conflict of interest: M.E. Crocker has nothing to disclose.
Conflict of interest: S. Hossen has nothing to disclose.
Conflict of interest: J.P. McCracken has nothing to disclose.
Conflict of interest: O. de León has nothing to disclose.
Conflict of interest: L.M. Thompson has nothing to disclose.
Conflict of interest: S.S. Garg has nothing to disclose.
Conflict of interest: K. Balakrishnan has nothing to disclose.
Conflict of interest: G. Thangavel has nothing to disclose.
Conflict of interest: G. Rosa has nothing to disclose.
Conflict of interest: J.L. Peel has nothing to disclose.
Conflict of interest: T. Clasen has nothing to disclose.
Conflict of interest: E.D. McCollum has nothing to disclose.
Conflict of interest: W. Checkley has nothing to disclose.
Support statement: This study is funded by the US National Institutes of Health (NIH) (cooperative agreement UM1HL134590) in collaboration with the Bill & Melinda Gates Foundation (OPP1131279). Participating NIH organisations include the National Heart, Lung and Blood Institute (NHLBI), National Institute of Environmental Health Sciences (NIEHS), National Cancer Institute, National Institute of Child Health and Human Development, Fogarty International Center, and the NIH Common Fund. S.M. Simkovich was supported by the National Heart, Lung, And Blood Institute of the NIH under Award Numbers T32HL007534 and F32HL143909, and the Lietman Fellowship award of the Bloomberg School of Public Health, Johns Hopkins University. L.J. Underhill was supported by NIH Research Training Grant number D43 TW009340 funded by the NIH Fogarty International Center, National Institute of Neurological Disorders and Stroke, National Institute of Mental Health, NHLBI and NIEHS. Sponsors participated in weekly conference calls, made recommendations about study design and participated in final decision-making of the study protocol; however, they had no 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. Funding information for this article has been deposited with the Crossref Funder Registry.
HAPIN Investigators: Vigneswari Aravindalochanan, Kalpana Balakrishnan, Dana Boyd Barr, Vanessa Burrowes, Devan Campbell, Eduardo Canuz, Adly Castañaza, Howard Chang, William Checkley, Yunyun Chen, Marilú Chiang, Maggie L. Clark, Thomas Clasen, Rachel Craik, Mary Crocker, Victor Davila-Roman, Lisa de las Fuentes, Oscar De León, 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, Jiawen Liao, Amy E. Lovvorn, Fiona Majorin, Eric D. McCollum, John McCracken, Julia N. McPeek, Rachel 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 K. Quinn, Sarah Rajkumar, Usha Ramakrishnan, Davis Reardon, Ghislaine Rosa, Joshua Rosenthal, P. Barry Ryan, Zoe Sakas, Sankar Sambandam, Jeremy Sarnat, Suzanne Simkovich, Sheela S. Sinharoy, Kirk R. Smith, Kyle Steenland, Damien Swearing, Gurusamy Thangavel, Lisa M. Thompson, Ashley Toenjes, Lindsay Underhill, Jean Damascene Uwizeyimana, Viviane Valdes, Amit Verma, Lance Waller, Megan Warnock, Kendra Williams, Wenlu Ye and Bonnie Young.
- Received November 6, 2019.
- Accepted February 6, 2020.
- Copyright ©ERS 2020
This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.
References
