Literature DB >> 24769412

mSpray: a mobile phone technology to improve malaria control efforts and monitor human exposure to malaria control pesticides in Limpopo, South Africa.

Brenda Eskenazi1, Lesliam Quirós-Alcalá2, Jonah M Lipsitt3, Lemuel D Wu4, Philip Kruger5, Tzundzukani Ntimbane6, John Burns Nawn7, M S Riana Bornman8, Edmund Seto9.   

Abstract

Recent estimates indicate that malaria has led to over half a million deaths worldwide, mostly to African children. Indoor residual spraying (IRS) of insecticides is one of the primary vector control interventions. However, current reporting systems do not obtain precise location of IRS events in relation to malaria cases, which poses challenges for effective and efficient malaria control. This information is also critical to avoid unnecessary human exposure to IRS insecticides. We developed and piloted a mobile-based application (mSpray) to collect comprehensive information on IRS spray events. We assessed the utility, acceptability and feasibility of using mSpray to gather improved homestead- and chemical-level IRS coverage data. We installed mSpray on 10 cell phones with data bundles, and pilot tested it with 13 users in Limpopo, South Africa. Users completed basic information (number of rooms/shelters sprayed; chemical used, etc.) on spray events. Upon submission, this information as well as geographic positioning system coordinates and time/date stamp were uploaded to a Google Drive Spreadsheet to be viewed in real time. We administered questionnaires, conducted focus groups, and interviewed key informants to evaluate the utility of the app. The low-cost, cell phone-based "mSpray" app was learned quickly by users, well accepted and preferred to the current paper-based method. We recorded 2865 entries (99.1% had a GPS accuracy of 20 m or less) and identified areas of improvement including increased battery life. We also identified a number of logistic and user problems (e.g., cost of cell phones and cellular bundles, battery life, obtaining accurate GPS measures, user errors, etc.) that would need to be overcome before full deployment. Use of cell phone technology could increase the efficiency of IRS malaria control efforts by mapping spray events in relation to malaria cases, resulting in more judicious use of chemicals that are potentially harmful to humans and the environment.
Copyright © 2014. Published by Elsevier Ltd.

Entities:  

Keywords:  Cell phones; IRS (indoor residual spraying); Malaria control; Mobile technology; Pesticides; mHealth

Mesh:

Substances:

Year:  2014        PMID: 24769412      PMCID: PMC4404295          DOI: 10.1016/j.envint.2014.03.003

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  7 in total

1.  WHO gives indoor use of DDT a clean bill of health for controlling malaria.

Authors: 
Journal:  Indian J Med Sci       Date:  2006-10

2.  Impact of prenatal exposure to piperonyl butoxide and permethrin on 36-month neurodevelopment.

Authors:  Megan K Horton; Andrew Rundle; David E Camann; Dana Boyd Barr; Virginia A Rauh; Robin M Whyatt
Journal:  Pediatrics       Date:  2011-02-07       Impact factor: 7.124

3.  Sperm chromatin integrity in DDT-exposed young men living in a malaria area in the Limpopo Province, South Africa.

Authors:  C de Jager; N H Aneck-Hahn; M S Bornman; P Farias; G Leter; P Eleuteri; M Rescia; M Spanò
Journal:  Hum Reprod       Date:  2009-07-16       Impact factor: 6.918

Review 4.  The Pine River statement: human health consequences of DDT use.

Authors:  Brenda Eskenazi; Jonathan Chevrier; Lisa Goldman Rosas; Henry A Anderson; Maria S Bornman; Henk Bouwman; Aimin Chen; Barbara A Cohn; Christiaan de Jager; Diane S Henshel; Felicia Leipzig; John S Leipzig; Edward C Lorenz; Suzanne M Snedeker; Darwin Stapleton
Journal:  Environ Health Perspect       Date:  2009-05-04       Impact factor: 9.031

5.  Participatory epidemiology: use of mobile phones for community-based health reporting.

Authors:  Clark C Freifeld; Rumi Chunara; Sumiko R Mekaru; Emily H Chan; Taha Kass-Hout; Anahi Ayala Iacucci; John S Brownstein
Journal:  PLoS Med       Date:  2010-12-07       Impact factor: 11.069

6.  Application of mobile-technology for disease and treatment monitoring of malaria in the "Better Border Healthcare Programme".

Authors:  Pongthep Meankaew; Jaranit Kaewkungwal; Amnat Khamsiriwatchara; Podjadeach Khunthong; Pratap Singhasivanon; Wichai Satimai
Journal:  Malar J       Date:  2010-08-19       Impact factor: 2.979

7.  A pilot study of an mHealth application for healthcare workers: poor uptake despite high reported acceptability at a rural South African community-based MDR-TB treatment program.

Authors:  Krisda H Chaiyachati; Marian Loveday; Stephen Lorenz; Neal Lesh; Lee-Megan Larkan; Sandro Cinti; Gerald H Friedland; Jessica E Haberer
Journal:  PLoS One       Date:  2013-05-28       Impact factor: 3.240

  7 in total
  8 in total

Review 1.  Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence.

Authors:  Andrea L Araujo Navas; Nicholas A S Hamm; Ricardo J Soares Magalhães; Alfred Stein
Journal:  PLoS Negl Trop Dis       Date:  2016-12-22

2.  Levels and Determinants of DDT and DDE Exposure in the VHEMBE Cohort.

Authors:  Fraser W Gaspar; Jonathan Chevrier; Lesliam Quirós-Alcalá; Jonah M Lipsitt; Dana Boyd Barr; Nina Holland; Riana Bornman; Brenda Eskenazi
Journal:  Environ Health Perspect       Date:  2017-07-07       Impact factor: 9.031

Review 3.  Assessing the Exposome with External Measures: Commentary on the State of the Science and Research Recommendations.

Authors:  Michelle C Turner; Mark Nieuwenhuijsen; Kim Anderson; David Balshaw; Yuxia Cui; Genevieve Dunton; Jane A Hoppin; Petros Koutrakis; Michael Jerrett
Journal:  Annu Rev Public Health       Date:  2017-03-20       Impact factor: 21.981

4.  Use of mobile data collection systems within large-scale epidemiological field trials: findings and lessons-learned from a vector control trial in Iquitos, Peru.

Authors:  William H Elson; Anna B Kawiecki; Nicole L Achee; Amy C Morrison; Marisa A P Donnelly; Arnold O Noriega; Jody K Simpson; Din Syafruddin; Ismail Ekoprayitno Rozi; Neil F Lobo; Christopher M Barker; Thomas W Scott
Journal:  BMC Public Health       Date:  2022-10-15       Impact factor: 4.135

5.  3D Participatory Sensing with Low-Cost Mobile Devices for Crop Height Assessment--A Comparison with Terrestrial Laser Scanning Data.

Authors:  Sabrina Marx; Martin Hämmerle; Carolin Klonner; Bernhard Höfle
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

Review 6.  The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review.

Authors:  Guillermo Molina Recio; Laura García-Hernández; Rafael Molina Luque; Lorenzo Salas-Morera
Journal:  Biomed Eng Online       Date:  2016-07-15       Impact factor: 2.819

7.  Study protocol for a cluster randomised controlled factorial design trial to assess the effectiveness and feasibility of reactive focal mass drug administration and vector control to reduce malaria transmission in the low endemic setting of Namibia.

Authors:  Oliver F Medzihradsky; Immo Kleinschmidt; Davis Mumbengegwi; Kathryn W Roberts; Patrick McCreesh; Mi-Suk Kang Dufour; Petrina Uusiku; Stark Katokele; Adam Bennett; Jennifer Smith; Hugh Sturrock; Lisa M Prach; Henry Ntuku; Munyaradzi Tambo; Bradley Didier; Bryan Greenhouse; Zaahira Gani; Ann Aerts; Roly Gosling; Michelle S Hsiang
Journal:  BMJ Open       Date:  2018-01-27       Impact factor: 2.692

8.  Usability and Feasibility of a Smartphone App to Assess Human Behavioral Factors Associated with Tick Exposure (The Tick App): Quantitative and Qualitative Study.

Authors:  Maria P Fernandez; Gebbiena M Bron; Pallavi A Kache; Scott R Larson; Adam Maus; David Gustafson; Jean I Tsao; Lyric C Bartholomay; Susan M Paskewitz; Maria A Diuk-Wasser
Journal:  JMIR Mhealth Uhealth       Date:  2019-10-24       Impact factor: 4.773

  8 in total

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