WHO, 2013. Diarrhoea Fact Sheet No 330. Available at: http://www.who.int/mediacentre/factsheets/fs330/en/. Accessed March 5, 2018.
Vos T et al. 2016. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2013; 2015: a systematic analysis for the Burden of Disease Study 2015. Lancet 388: 1545–1602.
Kotloff KL et al. 2013. Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study. Lancet 382: 209–222.
Lamberti LM, Walker CLF, Black RE, 2012. Correction: systematic review of diarrhea duration and severity in children and adults in low- and middle-income countries. BMC Public Health 12: 832.
DAS KK, 2013. Improving estimates of diarrhoea prevalence among Bangladeshi children from survey data. Health Sci Bull 11: 17–22.
Zahidie A, Altaf A, Ahsan A, Jamali T, 2013. Research fatigue among injecting drug users in Karachi, Pakistan. Harm Reduct J 10: 9.
Schmidt WP, Luby SP, Genser B, Barreto ML, Clasen T, 2007. Estimating the longitudinal prevalence of diarrhea and other episodic diseases: continuous versus intermittent surveillance. Epidemiology 18: 537–543.
Kay M, Santos J, Takane M, 2011. mHealth: new horizons for health through mobile technologies. World Health Organ 64: 66–71.
Chowdhury F et al. 2015. Diarrheal illness and healthcare seeking behavior among a population at high risk for diarrhea in Dhaka, Bangladesh. PLoS One 10: e0130105.
The World Bank, 2014. Mobile Cellular Subscriptions. Available at: https://data.worldbank.org/indicator/IT.CEL.SETS?locations=BD. Accessed August 10, 2017.
National Institute of Population Research and Training Ministry of Health and Family Welfare, 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh. Available at: https://dhsprogram.com/pubs/pdf/FR311/FR311.pdf.
Gurley ES et al. 2014. Outbreak of hepatitis E in urban Bangladesh resulting in maternal and perinatal mortality. Clin Infect Dis 59: 658–665.
Cho JY, Lee E-H, 2014. Reducing confusion about grounded theory and qualitative content analysis: similarities and differences. Qual Rep 19: 1.
Peabody JW, Shimkhada R, Quimbo S, Solon O, Javier X, McCulloch C, 2014. The impact of performance incentives on child health outcomes: results from a cluster randomized controlled trial in the Philippines. Health Policy Planning 29: 615–621.
Haque R et al. 2003. Epidemiologic and clinical characteristics of acute diarrhea with emphasis on Entamoeba histolytica infections in preschool children in an urban slum of Dhaka, Bangladesh. Am J Trop Med Hyg 69: 398–405.
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Existing methodologies to record diarrheal disease incidence in households have limitations due to a high-episode recall error outside a 48-hour window. Our objective was to use mobile phones for reporting diarrheal episodes in households to provide real-time incidence data with minimum resource consumption and low recall error. From June 2014 to June 2015, we enrolled 417 low-income households in Dhaka, Bangladesh, and asked them to report diarrheal episodes to a call center. A team of data collectors then visited persons reporting the episode to collect data. In addition, each month, the team conducted in-home surveys on diarrhea incidence for a preceding 48-hour period. The mobile phone surveillance reported an incidence of 0.16 cases per person-year (95% CI: 0.13–0.19), with 117 reported diarrhea cases, and the routine in-home survey detected an incidence of 0.33 cases per person-year (95% CI: 0.18–0.60), the incidence rate ratio was 2.11 (95% CI: 1.08–3.78). During focus group discussions, participants reported a lack in motivation to report diarrhea by phone because of the absence of provision of intervening treatment following reporting. Mobile phone technology can provide a unique tool for real-time disease reporting. The phone surveillance in this study reported a lower incidence of diarrhea than an in-home survey, possibly because of the absence of intervention and, therefore, a perceived lack of incentive to report. However, this study reports the untapped potential of mobile phones in monitoring infectious disease incidence in a low-income setting.
Financial support: This research study was funded by the Danish Ministry of Foreign Affairs (MFA)—Consultative Research Committee For Development Research (FFU) grant 12-040KU, icddr,b acknowledges with gratitude the commitment of the Danish Ministry of Foreign Affairs (MFA)—Consultative Research Committee For Development Research (FFU) to its research efforts. icddr,b is also grateful to the Governments of Bangladesh, Canada, Sweden, and the United Kingdom for providing unrestricted support.
Authors’ addresses: Leela Sengupta Carstensen, Charlotte Crim Tamason, Suhella Mohan Tulsiani, and Matthew David Phelps, Department of Public Health University of Copenhagen, Section of Global Health, Copenhagen, Denmark, E-mails: leela@sund.ku.dk, cctamason@gmail.com, suhella.tulsiani@gmail.com, and ma.phelps@gmail.com. Rebeca Sultana, Infectious Diseases Division, icddr,b, Dhaka, Bangladessh, E-mail: rebeca@icddrb.org. Emily Suzanne Gurley, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, E-mail: egurley1@jhu.edu. Peter Kjær Mackie Jensen, Department of Public Health University of Copenhagen, Copenhagen Center for Disaster Research, Section of Global Health, Copenhagen, Denmark, E-mail: mackie@sund.ku.dk.
WHO, 2013. Diarrhoea Fact Sheet No 330. Available at: http://www.who.int/mediacentre/factsheets/fs330/en/. Accessed March 5, 2018.
Vos T et al. 2016. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2013; 2015: a systematic analysis for the Burden of Disease Study 2015. Lancet 388: 1545–1602.
Kotloff KL et al. 2013. Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study. Lancet 382: 209–222.
Lamberti LM, Walker CLF, Black RE, 2012. Correction: systematic review of diarrhea duration and severity in children and adults in low- and middle-income countries. BMC Public Health 12: 832.
DAS KK, 2013. Improving estimates of diarrhoea prevalence among Bangladeshi children from survey data. Health Sci Bull 11: 17–22.
Zahidie A, Altaf A, Ahsan A, Jamali T, 2013. Research fatigue among injecting drug users in Karachi, Pakistan. Harm Reduct J 10: 9.
Schmidt WP, Luby SP, Genser B, Barreto ML, Clasen T, 2007. Estimating the longitudinal prevalence of diarrhea and other episodic diseases: continuous versus intermittent surveillance. Epidemiology 18: 537–543.
Kay M, Santos J, Takane M, 2011. mHealth: new horizons for health through mobile technologies. World Health Organ 64: 66–71.
Chowdhury F et al. 2015. Diarrheal illness and healthcare seeking behavior among a population at high risk for diarrhea in Dhaka, Bangladesh. PLoS One 10: e0130105.
The World Bank, 2014. Mobile Cellular Subscriptions. Available at: https://data.worldbank.org/indicator/IT.CEL.SETS?locations=BD. Accessed August 10, 2017.
National Institute of Population Research and Training Ministry of Health and Family Welfare, 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh. Available at: https://dhsprogram.com/pubs/pdf/FR311/FR311.pdf.
Gurley ES et al. 2014. Outbreak of hepatitis E in urban Bangladesh resulting in maternal and perinatal mortality. Clin Infect Dis 59: 658–665.
Cho JY, Lee E-H, 2014. Reducing confusion about grounded theory and qualitative content analysis: similarities and differences. Qual Rep 19: 1.
Peabody JW, Shimkhada R, Quimbo S, Solon O, Javier X, McCulloch C, 2014. The impact of performance incentives on child health outcomes: results from a cluster randomized controlled trial in the Philippines. Health Policy Planning 29: 615–621.
Haque R et al. 2003. Epidemiologic and clinical characteristics of acute diarrhea with emphasis on Entamoeba histolytica infections in preschool children in an urban slum of Dhaka, Bangladesh. Am J Trop Med Hyg 69: 398–405.
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