Published on in Vol 5, No 3 (2013):

Android and ODK based data collection framework to aid in epidemiological analysis

Android and ODK based data collection framework to aid in epidemiological analysis

Android and ODK based data collection framework to aid in epidemiological analysis

Authors of this article:

Abdessamad Tridane1 ;   A Raja2 ;   A. Gaffar ;   T. Lindquist ;   K. Prabadi
The full text of this article is available as a PDF download by clicking here.

Journals

  1. Yunus F, Jalal C, Afsana K, Podder R, Vandenberg A, DellaValle D. Iron-fortified lentils to improve iron (Fe) status among adolescent girls in Bangladesh - study protocol for a double-blind community-based randomized controlled trial. Trials 2019;20(1) View
  2. Mogekwu F, Oteri J, Nsubuga P, Ezebilo O, Maxwell N, Wiwa O, Braka F, Shuaib F. Using data to improve outcomes of supplemental immunisation activities: 2017/2018 Nigeria measles vaccination campaign. Vaccine 2021;39:C38 View
  3. Salvati P, Ardizzone F, Cardinali M, Fiorucci F, Fugnoli F, Guzzetti F, Marchesini I, Rinaldi G, Rossi M, Santangelo M, Vujica I. Acquiring vulnerability indicators to geo-hydrological hazards: An example of mobile phone-based data collection. International Journal of Disaster Risk Reduction 2021;55:102087 View
  4. Wang E, Zhou L, Chen S, Hill K, Parmanto B. An mHealth Platform for Supporting Clinical Data Integration into Augmentative and Alternative Communication Service Delivery: User-Centered Design and Usability Evaluation. JMIR Rehabilitation and Assistive Technologies 2018;5(2):e14 View
  5. Elson W, Kawiecki A, Donnelly M, Noriega A, Simpson J, Syafruddin D, Rozi I, Lobo N, Barker C, Scott T, Achee N, Morrison A. Use of mobile data collection systems within large-scale epidemiological field trials: findings and lessons-learned from a vector control trial in Iquitos, Peru. BMC Public Health 2022;22(1) View
  6. Maduka O, Akpan G, Maleghemi S. Using Android and Open Data Kit Technology in Data Management for Research in Resource-Limited Settings in the Niger Delta Region of Nigeria: Cross-Sectional Household Survey. JMIR mHealth and uHealth 2017;5(11):e171 View
  7. Sellers C, Buján S, Miranda D. MARLI: a mobile application for regional landslide inventories in Ecuador. Landslides 2021;18(12):3963 View
  8. Ngoliwa C, Chakwiya C, Gondwe J, Nsomba E, Nkhoma V, Reuben M, Chantunga L, Liwonde P, Mangani E, Kudowa E, Makhaza L, Toto N, Sochera T, Chikaonda T, Morton B, Henrion M, Dula D, Gordon S, Chirwa A. Piloting electronic informed consenting in a pneumococcal human infection study in Blantyre, Malawi. Wellcome Open Research 2024;9:233 View
  9. Masaku J, Mutuku F, Kihara J, Mwandawiro C, Okoyo C, Kanyi H, Kamau J, Kaduka L, Ng’ang’a Z, Jeza V, Robinson J. Helminthiasis and malaria co-infection among women of reproductive age in a rural setting of Kilifi County, coastal Kenya: A mixed method study. PLOS Global Public Health 2024;4(6):e0003310 View