TY - JOUR
T1 - The Cholera Phone
T2 - Diarrheal Disease Surveillance by Mobile Phone in Bangladesh
AU - sengupta, leela
AU - Tamason, Charlotte Crim
AU - Sultana, Rebeca
AU - Tulsiani, Suhella
AU - Phelps, Matthew
AU - Gurley, Emily S
AU - Jensen, Peter Kjær Mackie
PY - 2019
Y1 - 2019
N2 - Existing methodologies to record diarrheal disease incidence in households have limitations due to a highepisode 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.
AB - Existing methodologies to record diarrheal disease incidence in households have limitations due to a highepisode 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.
U2 - 10.4269/ajtmh.18-0546
DO - 10.4269/ajtmh.18-0546
M3 - Journal article
C2 - 30693862
SN - 0002-9637
VL - 100
SP - 510
EP - 516
JO - American Journal of Tropical Medicine and Hygiene
JF - American Journal of Tropical Medicine and Hygiene
IS - 3
ER -