Online and Offline Android Based Mobile Application for Mapping Health Facilities Using Google Map API. Case Study: Tanzania and Kenya Borders

Alexander, Happyness; Leo, Judith; Kaijage, Shubi

doi:10.4236/jsea.2021.148021

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…Smartphone technologies have also been shown to hold great potential for economic interventions given affordances absent in feature phones [6,26,86]. A plethora of Android-based agriculture applications in India showcase the benefits of a GUI, sensors, bigger screens, increased processing, and more [35,50], which motivate expanding the limited research on direct use of smartphones for agricultural interventions in more rural developing regions such as Tanzania.…”

Section: Technologies For Agricultural Informationmentioning

confidence: 99%

“…We enrich this literature by creating a dual platform intervention, making an Android app available that mirrors our USSD app functionality while leveraging smartphones' affordances. We report on design challenges and the complexities in use enabled in the smartphone-accessing population while building on findings from existing literature, e.g., the importance of offline functionality [6].…”

Section: Technologies For Agricultural Informationmentioning

confidence: 99%

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eKichabi v2: Designing and Scaling a Dual-Platform Agricultural Technology in Rural Tanzania

Raghunath,

Metzger,

Easton

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Although farmers in Sub-Saharan Africa are accessing feature phones and smartphones at historically high rates, they face challenges finding a robust network of agricultural contacts. With collaborators, we conduct a quantitative survey of 1014 agricultural households in Kagera, Tanzania to characterize technology access, use, and comfort levels in the region. Recognizing the paucity of research on dual-platform technologies that cater to both feature phone and smartphone users, we develop and deploy eKichabi v2, a searchable directory of 9833 agriculture-related enterprises accessible via a USSD application and an Android application. To bridge the gap in affordances between the two applications, we conduct a mixed methods pilot leveraging mobile money agents as intermediators for our USSD application's users. Through our investigations, we identify the advantages, obstacles, and critical considerations in the design, implementation, and scalability of agricultural information systems tailored to both feature phone and

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Section: Technologies For Agricultural Informationmentioning

confidence: 99%

Section: Technologies For Agricultural Informationmentioning

confidence: 99%

eKichabi v2: Designing and Scaling a Dual-Platform Agricultural Technology in Rural Tanzania

Raghunath,

Metzger,

Easton

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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“…Spatial decision support system (SDSS) has been a lacking component in the data collection, the growth and development of SDSS in Africa has been a tool in the development of location base decisions techniques [7]. With the use of GPS coordinates and possibly accelerometer measures, modern mobile devices offer abundant sources of data for implicit authentication, location, and co-location [8]. Co-location is indicated via WiFi/Bluetooth connections and USB connectors.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of an Android GIS Data Collection Application for Students with Non-Programming Experience Using the MIT App Inventor: A Case Study on a Tick Data Collection APP

Ndebele¹,

Mazhindu²

2023

IIM

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Learning programming can be a daunting task, especially for students without a programming background or non-computer science students. Most Geographic Information Science (GIS) experts and students come from a non-programming background and the development of applications has mostly been perceived to be a field for computer science students and has mostly been shunned by other non-programming students and courses. Compounded by the availability of Open-Source Data collection tools like the Open Data Kit (ODK), learning programming and android application development is often overlooked by Geo Spatial Scientists. Many studies have been done to identify a suitable application development kit to introduce application development to students in non-programming classes. MIT App inventor is a user-friendly drag-and-drop application development platform that is ideal for introducing application development to students with a non-programming background. In this paper, students doing an undergraduate honors degree in spatial sciences were introduced to the MIT App inventor for the development of a Geo-App capable of collecting spatial data that can be exported into a GIS system like Arc GIS, and QGIS after the data has been collected. The paper investigates the suitability of MIT App Inventor in the development of Geo-Spatial Applications. The application was developed for collaborative mapping of tick species for Mashonaland Central Province in Zimbabwe. The main purpose of the application developed is to act as a tool for veterinary extension workers under the Veterinary Services How to cite this paper: Ndebele, M. and Mazhindu, A.N.

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“…The system was designed with Android (mobile) operating system which is the most prevalent and commonly used mobile operating system in Tanzania and Africa as of now (Alexander et al, 2021). Android smartphones take up almost 60% of user compared to Apple devices this is because of its broad price range and lower entry level price point which makes high largest share in developing countries (Haris et al, 2018).…”

Section: (D) Sqlite Databasementioning

confidence: 99%

Mobile-based application for discovering family relationship using rule based system in Tanzania

Kipendaroho

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Family is a basic unit in society where traditionally, parents raise their children and family bonds survive longer and provide a primary sense of belonging. It has been observed that it become difficult when extended family become complex to find distant relatives using traditional approaches this is due to rural-urban migration and residential mobility, which has been weakened family relationship. Several researchers have developed systems to help relatives in discovering their family relationships using genealogical data, nevertheless, these systems may provide false-positive findings when there is lack of information. In Tanzania the genealogical sites have insufficient individual’s family information for family discovery. The purpose of this paper is to present a developed mobile based application for discovering family relationships with no use of genealogical data and use of rule-based system to identify the type of relationship with a person. Both primary and secondary data collection methods were used to collect data and analyzed using R-studio. The research revealed that rule-based system can easily discover family relationships, and families grow when people interact with the mobile application (MyFam). The system was validated with users, where results emphasized its efficiency as a discovery tool with performance of 40% in user experience, 40% in system functionalities and 55% in system interface. The contribution of this study is to provide a mobile application that can be used in many countries for discovering family members relationships. In addition, due to efficacy of the rule-based system, any relationship can be inferred simply and reliably based on how family relationships are named.

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Online and Offline Android Based Mobile Application for Mapping Health Facilities Using Google Map API. Case Study: Tanzania and Kenya Borders

Cited by 4 publications

References 15 publications

eKichabi v2: Designing and Scaling a Dual-Platform Agricultural Technology in Rural Tanzania

eKichabi v2: Designing and Scaling a Dual-Platform Agricultural Technology in Rural Tanzania

Design and Implementation of an Android GIS Data Collection Application for Students with Non-Programming Experience Using the MIT App Inventor: A Case Study on a Tick Data Collection APP

Mobile-based application for discovering family relationship using rule based system in Tanzania

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