Dataset Information

Case study of Argus in Togo: An SMS and web-based application to support public health surveillance, results from 2016 to 2019.

ABSTRACT: Introduction: Argus is an open source electronic solution to facilitate the reporting and management of public health surveillance data. Its components include an Android-phone application, used by healthcare facilities to report results via SMS; and a central server located at the Ministry of Health, displaying aggregated results on a web platform for intermediate and central levels. This study describes the results of the use of Argus in two regions of Togo.

Methods: Argus was used in 148 healthcare facilities from May 2016 to July 2018, expanding to 185 healthcare facilities from July 2018. Data from week 21 of 2016 to week 12 of 2019 was extracted from the Argus database and analysed. An assessment mission took place in August 2016 to collect users' satisfaction, to estimate the concordance of the received data with the collected data, and to estimate the time required to report data with Argus.

Results: Overall completeness of data reporting was 76%, with 80% of reports from a given week being received before Tuesday 9PM. Concordance of data received from Argus and standard paper forms was 99.7%. Median time needed to send a report using Argus was 4 minutes. Overall completeness of data review at district, regional, and central levels were 89%, 68%, and 35% respectively. Implementation cost of Argus was 23 760 USD for 148 facilities.

Conclusions: The use of Argus in Togo enabled healthcare facilities to send weekly reports and alerts through SMS in a user-friendly, reliable and timely manner. Reengagement of surveillance officers at all levels, especially at the central level, enabled a dramatic increase in completeness and timeliness of data report and data review.

SUBMITTER: Guerra J

PROVIDER: S-EPMC7707507 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Case study of Argus in Togo: An SMS and web-based application to support public health surveillance, results from 2016 to 2019.

Guerra José J Davi Kokou Mawule KM Rafael Florentina Chipuila FC Assane Hamadi H Imboua Lucile L Diallo Fatoumata Binta Tidiane FBT Tamekloe Tsidi Agbeko TA Kuassi Aklagba Kuawo AK Ouro-Kavalah Farihétou F Tchaniley Ganiou G Ouro-Nile Nassirou N Nabeth Pierre P

PloS one 20201201 12

<h4>Introduction</h4>Argus is an open source electronic solution to facilitate the reporting and management of public health surveillance data. Its components include an Android-phone application, used by healthcare facilities to report results via SMS; and a central server located at the Ministry of Health, displaying aggregated results on a web platform for intermediate and central levels. This study describes the results of the use of Argus in two regions of Togo.<h4>Methods</h4>Argus was use ...[more]

PMID: 33259550

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Project description:BackgroundAlthough the number of existing cases of coronavirus disease 2019 (COVID-19) in China has been decreasing since late February 2020, the number of confirmed cases abroad is surging. Improving public knowledge of COVID-19 is critical to controlling the pandemic. This study aimed to determine China's public knowledge of COVID-19 and the attitudes towards control measures.MethodsA cross-sectional study was conducted over 48 h from 22:30 29 February 2020 to 22:30 2 March 2020 based on a self-administered web-based questionnaire. The survey was conducted on the WeChat network. Exponential non-discriminative snowball sampling was applied. The questionnaire was voluntarily completed by WeChat users. The questionnaire covered basic demographic information, public knowledge of the epidemiological and clinical characteristics of COVID-19, psychological state, and attitudes towards the overall control measures. The primary outcome was the China's public knowledge of COVID-19 and the attitudes towards control measures and secondary outcome was the psychological state of the public during this pandemic.ResultsThe study included 10,905 participants and 10,399 valid questionnaires were included for analysis. Participants with tertiary education, younger participants and healthcare workers had better overall knowledge than other participants (all P < 0.05). Approximately 91.9% of the participants believed in person-to-person transmission and 39.1% believed in animal-to-person transmission. No significant correlation between anxiety and the number of regional existing confirmed cases was found, while participants in Hubei were more anxious than those in other regions. In general, 74.1% of the participants acknowledged the effectiveness of the overall control measures, and the percentage of participants with agreement with the overall control measures was negatively correlated with the number of regional existing confirmed cases (r = - 0.492, P = 0.007).ConclusionsIn conclusion, the survey revealed that the Chinese public had overall good knowledge of COVID-19 except for those indeterminate knowledges. With dynamic changes in the global pandemic situation and more research, further studies should be conducted to explore changes in public knowledge and attitudes towards COVID-19 in the future. The media could be used in a strict and regular manner to publicize knowledge of such pandemics to halt their spread.

Project description:BACKGROUND:Public health surveillance is based on the continuous and systematic collection, analysis, and interpretation of data. This informs the development of early warning systems to monitor epidemics and documents the impact of intervention measures. The introduction of digital data sources, and specifically sources available on the internet, has impacted the field of public health surveillance. New opportunities enabled by the underlying availability and scale of internet-based sources (IBSs) have paved the way for novel approaches for disease surveillance, exploration of health communities, and the study of epidemic dynamics. This field and approach is also known as infodemiology or infoveillance. OBJECTIVE:This review aimed to assess research findings regarding the application of IBSs for public health surveillance (infodemiology or infoveillance). To achieve this, we have presented a comprehensive systematic literature review with a focus on these sources and their limitations, the diseases targeted, and commonly applied methods. METHODS:A systematic literature review was conducted targeting publications between 2012 and 2018 that leveraged IBSs for public health surveillance, outbreak forecasting, disease characterization, diagnosis prediction, content analysis, and health-topic identification. The search results were filtered according to previously defined inclusion and exclusion criteria. RESULTS:Spanning a total of 162 publications, we determined infectious diseases to be the preferred case study (108/162, 66.7%). Of the eight categories of IBSs (search queries, social media, news, discussion forums, websites, web encyclopedia, and online obituaries), search queries and social media were applied in 95.1% (154/162) of the reviewed publications. We also identified limitations in representativeness and biased user age groups, as well as high susceptibility to media events by search queries, social media, and web encyclopedias. CONCLUSIONS:IBSs are a valuable proxy to study illnesses affecting the general population; however, it is important to characterize which diseases are best suited for the available sources; the literature shows that the level of engagement among online platforms can be a potential indicator. There is a necessity to understand the population's online behavior; in addition, the exploration of health information dissemination and its content is significantly unexplored. With this information, we can understand how the population communicates about illnesses online and, in the process, benefit public health.

Dataset Information

Case study of Argus in Togo: An SMS and web-based application to support public health surveillance, results from 2016 to 2019.

Publications

Case study of Argus in Togo: An SMS and web-based application to support public health surveillance, results from 2016 to 2019.

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