A smartphone-based reporting application for routine health data: system requirements, analysis and design

Pascoe, Luba; Mwangoka, Joseph

doi:10.1504/ijtmcp.2016.078429

Cited by 3 publications

(2 citation statements)

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“…A lack of infrastructure for timely collecting, reporting, and analyzing epidemic data has posed a significant threat to public health security at the local, regional, and national levels [ 14 , 20 ]. In addition, it has been noted that policymakers, epidemiologists, and other related stakeholders depend highly on accurate and timely information to make informed decisions that will improve the well-being of the nation as well as the national healthcare system [ 14 , 21 , 22 ]. Furthermore, real-time data provide decision-makers with the knowledge required to respond effectively to the population’s health necessities; as a result, the value of timely and accurate data can be observed [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

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Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models

Pascoe

Clemen

Bradshaw

et al. 2022

IJERPH

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The study sought to review the works of literature on agent-based modeling and the influence of climatic and environmental factors on disease outbreak, transmission, and surveillance. Thus, drawing the influence of environmental variables such as vegetation index, households, mosquito habitats, breeding sites, and climatic variables including precipitation or rainfall, temperature, wind speed, and relative humidity on dengue disease modeling using the agent-based model in an African context and globally was the aim of the study. A search strategy was developed and used to search for relevant articles from four databases, namely, PubMed, Scopus, Research4Life, and Google Scholar. Inclusion criteria were developed, and 20 articles met the criteria and have been included in the review. From the reviewed works of literature, the study observed that climatic and environmental factors may influence the arbovirus disease outbreak, transmission, and surveillance. Thus, there is a call for further research on the area. To benefit from arbovirus modeling, it is crucial to consider the influence of climatic and environmental factors, especially in Africa, where there are limited studies exploring this phenomenon.

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Section: Introductionmentioning

confidence: 99%

“…The health system in SSA lacks the capacity for adequate disease reporting and timely response due to unreliable data [ 22 , 31 ]. The untimeliness, incompleteness, inconsistency, and inaccuracy of the data, among other things, contribute to data unreliability [ 22 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models

Pascoe

Clemen

Bradshaw

et al. 2022

IJERPH

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Agent-Based Modeling and Simulation for Transmission Dynamics and Surveillance of Dengue: Conceptual and Design Model

Pascoe,

Nyambo,

Bradshaw

et al. 2023

2023 Ieee Africon

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Digital Technologies to Enhance Infectious Disease Surveillance in Tanzania: A Scoping Review

et al. 2023

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Mobile phones and computer-based applications can speed up disease outbreak detection and control. Hence, it is not surprising that stakeholders in the health sector are becoming more interested in funding these technologies in Tanzania, Africa, where outbreaks occur frequently. The objective of this situational review is, therefore, to summarize available literature on the application of mobile phones and computer-based technologies for infectious disease surveillance in Tanzania and to inform on existing gaps. Four databases were searched—Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica Database (Embase), PubMed, and Scopus—yielding a total of 145 publications. In addition, 26 publications were obtained from the Google search engine. Inclusion and exclusion criteria were met by 35 papers: they described mobile phone-based and computer-based systems designed for infectious disease surveillance in Tanzania, were published in English between 2012 and 2022, and had full texts that could be read online. The publications discussed 13 technologies, of which 8 were for community-based surveillance, 2 were for facility-based surveillance, and 3 combined both forms of surveillance. Most of them were designed for reporting purposes and lacked interoperability features. While undoubtedly useful, the stand-alone character limits their impact on public health surveillance.

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A smartphone-based reporting application for routine health data: system requirements, analysis and design

Cited by 3 publications

References 0 publications

Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models

Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models

Agent-Based Modeling and Simulation for Transmission Dynamics and Surveillance of Dengue: Conceptual and Design Model

Digital Technologies to Enhance Infectious Disease Surveillance in Tanzania: A Scoping Review

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