tetano
Editor, Senior Moderator
Am J Epidemiol. 2014 Nov 21. pii: kwu303. [Epub ahead of print]
MoSAIC: Mobile Surveillance for Acute Respiratory Infections and Influenza-Like Illness in the Community.
Stockwell MS, Reed C, Vargas CY, Camargo S, Garretson AF, Alba LR, LaRussa P, Finelli L, Larson EL, Saiman L.
Abstract
Surveillance for acute respiratory infection (ARI) and influenza-like illness (ILI) relies primarily on reports of medically attended illness. Community surveillance could mitigate delays in reporting, allow for timely collection of respiratory tract samples, and characterize cases of non-medically attended ILI representing substantial personal and economic burden. Text messaging could be utilized to perform longitudinal ILI surveillance in a community-based sample but has not been assessed. We recruited 161 households (789 people) in New York City for a study of mobile ARI/ILI surveillance, and selected reporters received text messages twice weekly inquiring whether anyone in the household was ill. Home visits were conducted to obtain nasal swabs from persons with ARI/ILI. Participants were primarily female, Latino, and publicly insured. During the 44-week period from December 2012 through September 2013, 11,282 text messages were sent. In responses to 8,250 (73.1%) messages, a household reported either that someone was ill or no one was ill; 88.9% of responses were received within 4 hours. Swabs were obtained for 361 of 363 reported ARI/ILI episodes. The median time from symptom onset to nasal swab was 2 days; 65.4% of samples were positive for a respiratory pathogen by reverse-transcriptase polymerase chain reaction. In summary, text messaging promoted rapid ARI/ILI reporting and specimen collection and could represent a promising approach to timely, community-based surveillance.
? The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
KEYWORDS:
acute respiratory infection; influenza; influenza-like illness; respiratory viruses; surveillance; text messaging
PMID:
25416593
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/25416593
MoSAIC: Mobile Surveillance for Acute Respiratory Infections and Influenza-Like Illness in the Community.
Stockwell MS, Reed C, Vargas CY, Camargo S, Garretson AF, Alba LR, LaRussa P, Finelli L, Larson EL, Saiman L.
Abstract
Surveillance for acute respiratory infection (ARI) and influenza-like illness (ILI) relies primarily on reports of medically attended illness. Community surveillance could mitigate delays in reporting, allow for timely collection of respiratory tract samples, and characterize cases of non-medically attended ILI representing substantial personal and economic burden. Text messaging could be utilized to perform longitudinal ILI surveillance in a community-based sample but has not been assessed. We recruited 161 households (789 people) in New York City for a study of mobile ARI/ILI surveillance, and selected reporters received text messages twice weekly inquiring whether anyone in the household was ill. Home visits were conducted to obtain nasal swabs from persons with ARI/ILI. Participants were primarily female, Latino, and publicly insured. During the 44-week period from December 2012 through September 2013, 11,282 text messages were sent. In responses to 8,250 (73.1%) messages, a household reported either that someone was ill or no one was ill; 88.9% of responses were received within 4 hours. Swabs were obtained for 361 of 363 reported ARI/ILI episodes. The median time from symptom onset to nasal swab was 2 days; 65.4% of samples were positive for a respiratory pathogen by reverse-transcriptase polymerase chain reaction. In summary, text messaging promoted rapid ARI/ILI reporting and specimen collection and could represent a promising approach to timely, community-based surveillance.
? The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
KEYWORDS:
acute respiratory infection; influenza; influenza-like illness; respiratory viruses; surveillance; text messaging
PMID:
25416593
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/25416593