Literature DB >> 24429320

Feasibility of conducting a randomised controlled trial of a cookstove intervention in rural Malawi.

H R Jary1, J Kachidiku2, H Banda2, M Kapanga2, J V Doyle2, E Banda3, C Fox3, S B Gordon4, K Mortimer4.   

Abstract

BACKGROUND: Exposure to household air pollution (HAP) causes 4 million deaths annually, and strategies to reduce HAP exposure are urgently required.
OBJECTIVE: To evaluate the acceptability and feasibility of conducting a trial of a cookstove intervention in rural Malawi.
DESIGN: Non-smoking women were randomised to continuing to use an open fire (control) or to using a wood-burning clay cookstove (intervention). Symptom burden, oxygen saturation and exhaled carbon monoxide (eCO) were assessed at baseline and 7-day follow-up. A subset of women underwent HAP exposure monitoring.
RESULTS: Of 51 women recruited, 50 (98%) completed the main study. The methodology was acceptable to participants. Headache, back pain and cough were the most commonly reported symptoms at baseline and follow-up. Median eCO was within normal limits, but with a difference of 0.5 parts per million (ppm) in median change of eCO from baseline to follow-up seen between the two groups (P = 0.035). The peak ambient CO concentration detected was 150 ppm.
CONCLUSION: This study suggests that a large cookstove intervention trial in Malawi would be feasible with careful community sensitisation. Monitoring exposure to HAP is challenging, and further studies evaluating potential biomarkers of exposure, including eCO, should be undertaken.

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Year:  2014        PMID: 24429320      PMCID: PMC4436815          DOI: 10.5588/ijtld.13.0485

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


EXPOSURE TO AIR POLLUTION resulting from burning solid fuels (wood, charcoal, animal dung, crop residues, coal) for essential household activities, such as cooking and heating, is thought to be responsible for 4 million deaths per year.[1] Household air pollution (HAP) is associated with childhood pneumonia (the biggest killer in under-fives worldwide), poor neonatal outcomes and chronic obstructive pulmonary disease.[1-8] Due to its relative affordability compared to cleaner fuels such as electricity and gas, solid fuel use is widespread; in Malawi, 95% of people rely on solid fuels as their domestic energy source.[9] Cooking on open fires in poorly ventilated homes can lead to pollutant levels much greater than is considered safe by the World Health Organization (WHO).[10] Interventions to reduce HAP exposure—which need to be efficient, cost-effective and acceptable to the target populations—are varied, and address factors including type of stove, ventilation, fuel type and behaviour modification.[11] None of these factors can be evaluated in isolation, making intervention studies in this field complex. When combined with the logistical difficulties of conducting research in resource-poor settings and potential cultural barriers, studies of such interventions can be challenging. Cookstoves are a promising intervention strategy for reducing HAP exposure. Three randomised controlled trials (RCTs) of cookstove interventions have been conducted to date and have shown improvements in symptom burden, respiratory function and childhood pneumonia, but their findings were limited by poor adherence to the intervention and exposure misclassification.[12-14] Furthermore, their findings are not directly transferable to sub-Saharan Africa, given the wide variation in cooking practices and fuels across the globe. The Global Alliance for Clean Cookstoves (GACC; www.cleancookstoves.org) has been established to address the public health burden of HAP. GACC recognises the need for further studies to assess the health impact, effectiveness and acceptability of interventions in different settings, to inform policy decisions and justify large-scale intervention programmes. Given the previously discussed challenges of conducting these studies, it is vital that emphasis is placed on ensuring that the study design is appropriate for the setting. The primary aim of this study was therefore to assess the feasibility and acceptability of conducting an RCT of a cookstove intervention in rural Malawi to inform future larger studies in this or similar settings. The Chitetezo stove is a simple clay cookstove (Figure 1) for burning solid fuels that was chosen as the intervention in this study because it reduces fuel consumption by approximately 40% compared to a traditional ‘three-stone’ fire,[15] it is produced by local women’s groups using local materials and it is low cost (approximately US$2).
Figure 1

The Chitetezo stove is a simple clay cookstove for burning solid fuels that aims to reduce exposure to household air pollution by burning fuel more efficiently than an open fire, thereby reducing fuel consumption and producing fewer waste combustion products.

The Chitetezo stove is a simple clay cookstove for burning solid fuels that aims to reduce exposure to household air pollution by burning fuel more efficiently than an open fire, thereby reducing fuel consumption and producing fewer waste combustion products.

METHODS

Participants

Women living in the Ntcheu District of Malawi who cooked on traditional open wood fires, but wished to purchase a Chitetezo stove, were invited to take part in this pilot, parallel RCT. For logistical reasons, community engagement meetings were held in different villages on different days to inform women about the study. Informed written consent was obtained in private and was completed in Chichewa, the local language. Individuals were excluded if they were current smokers or lived with a smoker.

Randomisation

Women were individually randomised to one of two parallel groups in a 1:1 ratio with block randomisation (block size 10), generated using a random number table. Randomisation was concealed using pre-prepared, sequentially numbered, opaque sealed envelopes.

Intervention

Women in the intervention group purchased a Chitetezo stove on the day of recruitment or the following day. They were asked to stop using their traditional open wood fire and commence cooking on their Chitetezo stove with immediate effect, following instructions from the study workers regarding the use and maintenance of their Chitetezo stove. Women in the control group were asked to continue cooking on a traditional open wood fire and were able to purchase their Chitetezo stove 7 days later, at the end of the study.

Outcomes

Data were collected at baseline (before randomisation) and at 7-day follow-up. The primary outcome of this study was to assess the feasibility of conducting a cookstove intervention study in this setting, including exploring any logistical challenges faced. The acceptability to the study population of the methodology used was also considered. Data regarding health and HAP exposure were collected as secondary outcomes, although given the pilot nature of this study, we did not aim to assess the performance or impact of the Chitetezo stove. Questionnaires regarding demographics, household details and symptom burden, pulse oximetry for oxygen saturation (SpO2) and exhaled carbon monoxide (eCO) levels using a handheld monitor were all used. Exposure to pollution was monitored for a minority of women who volunteered to take part, and limited by the number of monitors available. A Sidepak monitor (TSI Inc, Shoreview, MN, USA), used to measure air particulate matter (PM < 2.5 μm in size), was placed in a woman’s home for 24 h at baseline and 7-day follow-up. Personal CO monitors (Lascar USB Dataloggers; Lascar Electronics, Salisbury, UK), which clip to the clothes, were worn continuously for 24 h at baseline and 7-day follow-up. Data were collected in the villages using a paper-based case report form and then collated in an Excel (Microsoft, Redmond, WA, USA) spreadsheet by a study worker.

Sample size

A sample size of 50 (including both groups) was chosen based on the requirement to assess the feasibility of study methodology, rather than to detect any clinical difference between the two groups.

Compensation

The women were compensated for the inconvenience with a gift to the value of approximately US$2. This gift varied between villages, depending on what was agreed before the recruitment process, and included either pigeon pea seeds for cultivation or a Chite-tezo stove.

Statistical methods and analysis

IBM SPSS Statistics 19 was used to analyse data (IBM Corporation, Somers, NY, USA). Histograms were reviewed to assess data distribution, χ2 tests or Fisher’s exact tests were used for comparison of categorical data between the two groups, and Mann Whitney U-tests for continuous data. P < 0.05 was considered statistically significant. Missing data were excluded from the analysis on a case-by-case basis for health and exposure outcomes. Feasibility and acceptability aspects were reviewed through dialogue with all members of the study group during and after completion of the study.

Ethical approval

This study was a collaboration between the Liverpool School for Tropical Medicine (LSTM), Concern Universal (CU; www.concernuniversal.org) and Clioma Ltd (Malawi). Staff from CU provided the study group with access to the communities, and the approval of village elders was sought. The study received ethical approval from the LSTM Research Ethics Committee (11.74) and the College of Medicine Research Ethics Committee, University of Malawi, Zomba, Malawi (P.07/11/1103). It was registered with the Pan-African Clinical Trials Registry (PACTR201110000324321).

RESULTS

Recruitment and randomisation

The study took place in November–December 2011. All women approached were keen to participate. Two women were not eligible for participation due to the exclusion criteria (Figure 2). Following assessment by two study workers, one elderly woman was deemed unable to give informed consent due to a lack of understanding. A total of 51 women were recruited from five villages, and recruitment stopped once the desired sample size had been reached: 26 women (51%) were randomised to the control group and 25 (49%) to the intervention group (Figure 2).
Figure 2

Consort flow diagram showing recruitment to the study, randomisation and loss to follow-up.

Consort flow diagram showing recruitment to the study, randomisation and loss to follow-up.

Retention

The majority of the women (n = 50, 98%) completed the main study—one woman from the intervention group did not attend the follow-up session.

Feasibility

No objections were raised to the randomisation process or to a delay in receiving a Chitetezo stove. Although all of the recruited women wished to purchase a Chitetezo stove, many were unable to do so on the day of the visit, and many therefore opted to have a Chitetezo stove as their compensation gift to allow them to participate. No adverse events occurred during the study. All of the recruited women completed the questionnaire, with no objections raised to any of the questions asked. No problems with measuring SpO2 or eCO were encountered. One of the four women who volunteered to wear the CO monitor declined to do so at follow-up due to superstitious beliefs regarding the monitor removing oxygen from the air. One static PM monitor was placed in the home of a participant for 24 h at baseline and follow-up (data not shown). As it was not possible to leave the monitor in the separate building where this woman cooked due to security concerns, it was instead placed inside her main living area (where there was no fire).

Baseline data

As shown in Table 1, limited resources were available to the participants. Sources of HAP exposure are reported in Table 2: 98% used wood as their primary fuel source, and most cooked inside a building separate from their main house in both dry and wet seasons. The majority of the women did not use any form of heating. Simple battery powered light-emitting diode lights were used by 90% of the women. All the women denied any other forms of smoke exposure.
Table 1

Baseline characteristics of the study participants

Control group (n = 26)
Intervention group (n = 25)
Parametern (%)Missing data n (%)n (%)Missing data n (%)Total (N = 51) n (%)
Age, years, median [IQR]36.5 [36.0]2 (7.7)33.0 [18.0]038.1 [15.5]
Rooms in household, mean ± SD2.5 ± 0.902.6 ± 1.002.5 ± 0.9
Adults in household, mean ± SD1.8 ± 0.42 (7.7)2.2 ± 0.61 (4.0)2.0 ± 0.5
Children in household, median [IQR]1.5 [2.0]2 (7.7)2.0 [2.0]1 (4.0)1.9 [1.6]
Roof type00
 Corrugated iron21 (80.8)22 (88.0)43 (84.3)
 Grass5 (19.2)3 (12.0)8 (15.7)
Window type2 (7.7)2 (8.0)
 No window6 (25.0)2 (8.7)8 (17.0)
 Space only10 (41.7)12 (52.2)22 (46.8)
 Glass8 (33.3)9 (39.9)17 (36.2)
Water supply type00
 Communal pipe5 (19.2)7 (28.0)12 (23.5)
 Well/bore hole8 (30.8)10 (40.0)18 (35.3)
 River/other1 (3.8)01 (2.0)
 Communal pipe and well or bore hole12 (46.2)8 (32.0)20 (39.2)
Owned by a member of the household00
 Car000
 Motorcycle000
 Bicycle10 (38.5)11 (44.0)21 (41.2)
 Radio7 (26.9)11 (44.0)18 (35.3)
 Refrigerator000
 Television1 (3.8)01 (2.0)
 Telephone5 (19.2)7 (28.0)12 (23.5)
 Computer000

IQR = interquartile range; SD = standard deviation.

Table 2

Participants smoke exposure at baseline

Missing data
ParameterControl group (n = 26) n (%)Intervention group (n = 25) n (%)Control group n (%)Intervention group n (%)
Primary cooking method1 (3.8)1 (4.0)
 Wood24 (96.0)24 (100.0)
 Mbaula*1 (4.0)0
Secondary cooking method1 (3.8)1 (4.0)
 None used21 (84.0)24 (100.0)
 Wood fire1 (4.0)0
 Mbaula*2 (8.0)0
 Crop residue fire1 (4.0)0
Dry season primary cooking location1 (3.8)0
 Inside main living area01 (4.0)
 Elsewhere inside main house2 (8.0)2 (8.0)
 Separate building17 (68.0)21 (84.0)
 Outside6 (24.0)1 (4.0)
Wet season primary cooking location1 (3.8)0
 Inside main living area01 (4.0)
 Elsewhere inside main house2 (8.0)2 (8.0)
 Separate building17 (68.0)21 (84.0)
 Outside6 (24.0)1 (4.0)
Primary heating method00
 No heating used21 (80.8)21 (84.0)
 Wood fire3 (11.5)4 (16.0)
 Mbaula*2 (7.7)0
Primary lighting method03 (12.0)
 No lighting used2 (7.7)0
 Paraffin/kerosene lamp2 (7.7)0
 Battery powered torch21 (80.8)22 (100.0)
 Hurricane lamp1 (3.8)0

Traditional stove.

Baseline characteristics of the study participants IQR = interquartile range; SD = standard deviation. Participants smoke exposure at baseline Traditional stove.

Symptom burden and oxygen saturation

Headache, back pain and cough were the most commonly reported symptoms at baseline (Table 3). Of those reporting a headache at baseline, the median number of days the headache had been experienced in the 7 days preceding baseline was 3 (interquartile range [IQR] 2–4), with those reporting back pain having experienced it for a median of 5 days (IQR 2–7). Symptom burden at follow-up was very similar (Table 3). There was no significant difference in change in symptoms over the 7-day period between the two groups (data not shown). Median SpO2 when breathing room air were respectively 98% and 99% in the control group and intervention group at baseline, and 99% in both groups at follow-up.
Table 3

Symptoms reported at baseline and follow-up

Missing data
Number of individuals reporting symptom
SymptomControl group (n = 26) n (%)Intervention group (n = 25) n (%)Control group n (%)Intervention group n (%)P value
Baseline
 Cough009 (34.6)7 (28.0)0.611*
 Mucus002 (7.7)00.490
 Shortness of breath002 (7.7)3 (12.0)0.668
 Wheezing or whistling in chest1 (3.8)01 (4.0)1 (4.0)1.000
 Sneezing or runny nose1 (3.8)1 (4.0)7 (28.0)2 (8.3)0.138
 Headache01 (4.0)12 (46.2)13 (54.2)0.571*
 Burning or watery eyes006 (23.1)3 (12.0)0.465
 Back pain01 (4.0)12 (46.2)5 (20.8)0.059*
 Burns2 (7.7)2 (8.0)2 (8.3)1 (4.3)1.000
 Family member with burns002 (7.7)1 (4.0)1.000
Follow-up
 Cough01 (4.0)5 (19.2)5 (20.8)1.000
 Mucus01 (4.0)2 (7.7)1 (4.2)1.000
 Shortness of breath01 (4.0)1 (3.8)01.000
 Wheezing or whistling in chest1 (3.8)1 (4.0)1 (4.0)01.000
 Sneezing or runny nose01 (4.0)3 (11.5)5 (20.8)0.456
 Headache01 (4.0)8 (30.8)6 (25.0)0.650*
 Burning or watery eyes01 (4.0)6 (23.1)1 (4.2)0.100
 Back pain1 (3.8)1 (4.0)6 (24.0)2 (8.3)0.247
 Burns01 (4.0)5 (19.2)3 (12.5)0.704
 Family member with burns01 (4.0)00

The statistical difference between the two groups for ‘Number of individuals reporting symptom’ was tested using the Χ2 test.

The statistical difference between the two groups for ‘Number of individuals reporting symptom’ was tested using Fisher’s exact test.

Symptoms reported at baseline and follow-up The statistical difference between the two groups for ‘Number of individuals reporting symptom’ was tested using the Χ2 test. The statistical difference between the two groups for ‘Number of individuals reporting symptom’ was tested using Fisher’s exact test.

Exposure measurements

Median eCO was respectively 2 (IQR 2) and 3 (IQR 2) for the control and intervention group at baseline. At follow-up, median eCO was respectively 3 (IQR 2) and 2 (IQR 1) for these groups. The median change in eCO from baseline to follow-up was significantly different between the two groups (median change in eCO 0.0 parts per million [ppm] [IQR 3] and −0.5 ppm [IQR 3] for the control group and intervention respectively, P = 0.035). Four women wore personal CO monitors for 24 h at baseline, and peaks of up to 150 ppm were detected (Figure 3). The results for the three women at follow-up are shown in Figure 3.
Figure 3

Personal exposures to CO at baseline and at follow-up in four participants. These graphs show the detected level of ambient CO over two separate 24-h periods, measured by personal CO monitors (Lascar USB Dataloggers), which clipped to the clothes of four participants at baseline (left) and three participants at 7-day follow-up (right). A peak reading of 150 ppm was detected. The black dotted line indicates the level the WHO considers unsafe if exposed for >1 hour (26 ppm). WHO = World Health Organization; ppm = parts per million; CO = carbon monoxide.

Personal exposures to CO at baseline and at follow-up in four participants. These graphs show the detected level of ambient CO over two separate 24-h periods, measured by personal CO monitors (Lascar USB Dataloggers), which clipped to the clothes of four participants at baseline (left) and three participants at 7-day follow-up (right). A peak reading of 150 ppm was detected. The black dotted line indicates the level the WHO considers unsafe if exposed for >1 hour (26 ppm). WHO = World Health Organization; ppm = parts per million; CO = carbon monoxide.

DISCUSSION

This study has demonstrated that it is feasible to conduct an RCT of a cookstove intervention in rural Malawi. With the high level of interest we observed in participating villages, including village elders, we are encouraged that a larger trial will be possible. Recruitment and retention rates over this short study period were excellent. The main findings of this feasibility study were that the methodologies used, including randomisation, the short delay in receiving the cookstove, the personal health questionnaires and SpO2/exhaled CO measurement, were acceptable to the participants. Difficulties relating to exposure measurements and superstitious beliefs were encountered with only a minority of women. Larger trials will require careful community sensitisation to address superstitious beliefs and achieve excellent retention rates. The Chitetezo stove was chosen for this study due to its low cost and easy availability. However, despite this, many of the women were unable to afford a Chitetezo stove and so received their stove as a compensation gift. Future studies aiming to detect changes in clinical outcomes should consider the ability of the stoves to significantly reduce HAP exposure. A study of childhood pneumonia following a cookstove intervention showed that greater health benefit is achieved with larger reductions in HAP exposure.[13] Stoves that are proven to achieve larger reductions in exposure are available, but are considerably more expensive than the Chitetezo. Future studies or intervention programmes may need to consider subsidising cookstoves, but this may have implications for study validity. As only a brief snapshot of pollution exposure was captured by the present study, conclusions regarding differences between baseline and follow-up cannot be inferred. However, CO peak levels of 150 ppm detected in these households suggest worrying levels of HAP exposure; the WHO Air Quality Guidelines recommend that individuals should not be exposed to CO concentrations of >26 ppm for >1 h (Figure 3) or to concentrations exceeding 87 ppm for >15 min.[16] Monitoring exposure to air pollution was logistically challenging, requiring additional visits to retrieve the equipment. In a resource-poor setting, this significant additional demand on transport and fuel resources should be considered when planning larger studies. Previous studies have used intensive methods of monitoring PM and CO at individual and household levels.[10,13] However, these techniques are expensive and challenging, and interpretation of results is not standardised. To effectively evaluate the impact of HAP reduction strategies, a standardised and convenient approach to assessing HAP exposure is required. Development of a biomarker that is representative of HAP exposure over the preceding weeks or months could remove the need for complex air sampling, and aid in the timely delivery of effective interventions to the market. Several potential biomarkers have been explored, but none are yet suitable for routine use.[17-19] In this study, measurement of eCO was trialled but the majority of readings were within the normal range. However, a significant reduction of 0.5 ppm was seen at follow-up in the intervention group, and although this is unlikely to be clinically significant, small changes in eCO levels may be a sensitive and responsive marker of HAP exposure. Further testing of a larger sample size is required to establish this. Furthermore, in this study, the eCO measurements were taken outdoors, away from the fires/stoves; measuring eCO in the vicinity of smoke exposure may improve the sensitivity of eCO as a biomarker. Alternatively, alveolar macrophage carbon load (AMCL) obtained by induced sputum, which may represent a longer exposure period than eCO, may prove a useful biomarker. Increased AMCL has been detected in individuals who report exposure to HAP compared to those who do not,[20] although further development of this methodology for this application is required. A weakness of this study is that participants’ experiences of using the stove were not formally assessed and actual use was not quantified. Individuals may initially be reluctant to use a new stove exclusively in the place of traditional methods. In a future study, assessing use and the impact this has on exposure, fuel consumption and expenditure should be a key consideration. This pilot study was not large enough to detect clinical changes; a study with more participants and longer follow-up period would be required to detect any differences in symptom burden between these groups. As the SpO2 levels measured were within normal limits at both time points, this is unlikely to be a useful variable for detecting changes after intervention. Although not used in this pilot study, lung function testing would enable an objective assessment of airway damage in future studies, although depending on the length of follow-up in the study, changes in these parameters following intervention may be difficult to detect. Spirometry testing in the community has been shown to be successful in Malawi in the recently conducted Blantyre Health Study (publication in progress), and will be extensively used in a planned RCT of a cookstove intervention in Malawi (Cooking and Pneumonia Study, www.capstudy.org).

CONCLUSIONS

Further studies exploring strategies for HAP reduction and their impact on health are urgently needed. Although the complex nature of these interventions means that such studies are challenging, we are encouraged that a larger scale RCT of a cookstove intervention will be feasible and acceptable in rural Malawi. Adequate community sensitisation and careful consideration of appropriate outcome measures will be required. Intensive monitoring of HAP exposure levels or development of a biomarker of exposure are warranted, but significant investment will be required to achieve this. Conflict of interest: none declared.
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Journal:  BMC Public Health       Date:  2015-07-14       Impact factor: 3.295

2.  Sociodemographic, behavioral, and environmental factors of child mortality in Eastern Region of Cameroon: results from a social autopsy study.

Authors:  Alain K Koffi; Romain S Wounang; Félicitée Nguefack; Seidou Moluh; Paul-Roger Libite; Henry D Kalter
Journal:  J Glob Health       Date:  2017-06       Impact factor: 4.413

3.  In-Use Emissions and Estimated Impacts of Traditional, Natural- and Forced-Draft Cookstoves in Rural Malawi.

Authors:  Roshan Wathore; Kevin Mortimer; Andrew P Grieshop
Journal:  Environ Sci Technol       Date:  2017-01-26       Impact factor: 9.028

4.  Implementation of clean cookstove interventions and its effects on blood pressure in low-income and middle-income countries: systematic review.

Authors:  Deborah Onakomaiya; Joyce Gyamfi; Juliet Iwelunmor; Jumoke Opeyemi; Mofetoluwa Oluwasanmi; Chisom Obiezu-Umeh; Milena Dalton; Ucheoma Nwaozuru; Temitope Ojo; Dorice Vieira; Gbenga Ogedegbe; Christopher Olopade
Journal:  BMJ Open       Date:  2019-05-14       Impact factor: 2.692

5.  Comparison of methods for the analysis of airway macrophage particulate load from induced sputum, a potential biomarker of air pollution exposure.

Authors:  Hannah Jary; Jamie Rylance; Latifa Patel; Stephen B Gordon; Kevin Mortimer
Journal:  BMC Pulm Med       Date:  2015-11-05       Impact factor: 3.317

6.  Implementation of World Health Organization Integrated Management of Childhood Illnesses (IMCI) Guidelines for the Assessment of Pneumonia in the Under 5s in Rural Malawi.

Authors:  Ngozi Kalu; Norman Lufesi; Deborah Havens; Kevin Mortimer
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

7.  Effects of a liquefied petroleum gas stove intervention on pollutant exposure and adult cardiopulmonary outcomes (CHAP): study protocol for a randomized controlled trial.

Authors:  Magdalena Fandiño-Del-Rio; Dina Goodman; Josiah L Kephart; Catherine H Miele; Kendra N Williams; Mitra Moazzami; Elizabeth C Fung; Kirsten Koehler; Victor G Davila-Roman; Kathryn A Lee; Saachi Nangia; Steven A Harvey; Kyle Steenland; Gustavo F Gonzales; William Checkley
Journal:  Trials       Date:  2017-11-03       Impact factor: 2.279

8.  From kitchen to classroom: Assessing the impact of cleaner burning biomass-fuelled cookstoves on primary school attendance in Karonga district, northern Malawi.

Authors:  Christine A Kelly; Amelia C Crampin; Kevin Mortimer; Albert Dube; Jullita Malava; Deborah Johnston; Elaine Unterhalter; Judith R Glynn
Journal:  PLoS One       Date:  2018-04-12       Impact factor: 3.240

9.  Exposure contrasts associated with a liquefied petroleum gas (LPG) intervention at potential field sites for the multi-country household air pollution intervention network (HAPIN) trial in India: results from pilot phase activities in rural Tamil Nadu.

Authors:  Sankar Sambandam; Krishnendu Mukhopadhyay; Saritha Sendhil; Wenlu Ye; Ajay Pillarisetti; Gurusamy Thangavel; Durairaj Natesan; Rengaraj Ramasamy; Amudha Natarajan; Vigneswari Aravindalochanan; A Vinayagamoorthi; S Sivavadivel; R Uma Maheswari; Lingeswari Balakrishnan; S Gayatri; Srinivasan Nargunanathan; Sathish Madhavan; Naveen Puttaswamy; Sarada S Garg; Ashlinn Quinn; Josh Rosenthal; Michael Johnson; Jiawen Liao; Kyle Steenland; Ricardo Piedhrahita; Jennifer Peel; William Checkley; Thomas Clasen; Kalpana Balakrishnan
Journal:  BMC Public Health       Date:  2020-11-26       Impact factor: 3.295

Review 10.  Respiratory risks from household air pollution in low and middle income countries.

Authors:  Stephen B Gordon; Nigel G Bruce; Jonathan Grigg; Patricia L Hibberd; Om P Kurmi; Kin-bong Hubert Lam; Kevin Mortimer; Kwaku Poku Asante; Kalpana Balakrishnan; John Balmes; Naor Bar-Zeev; Michael N Bates; Patrick N Breysse; Sonia Buist; Zhengming Chen; Deborah Havens; Darby Jack; Surinder Jindal; Haidong Kan; Sumi Mehta; Peter Moschovis; Luke Naeher; Archana Patel; Rogelio Perez-Padilla; Daniel Pope; Jamie Rylance; Sean Semple; William J Martin
Journal:  Lancet Respir Med       Date:  2014-09-02       Impact factor: 30.700

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