A comparison of smartphone and paper data collection tools in the Burden of Obstructive Lung Disease (BOLD) study in Gezira state, Sudan

Introduction: Data collection using paper-based questionnaires can be time consuming and return errors affect data accuracy, completeness, and information quality in health surveys. We compared smartphone and paper-based data collection systems in the Burden of Obstructive Lung Disease (BOLD) study in rural Sudan. Methods: This exploratory pilot study was designed to run in parallel with the cross-sectional household survey. The Open Data Kit was used to programme questionnaires in Arabic into smartphones. We included 100 study participants (83% women; median age = 41.5 ± 16.4 years) from the BOLD study from 3 rural villages in East-Gezira and Kamleen localities of Gezira state, Sudan. Questionnaire data were collected using smartphone and paper-based technologies simultaneously. We used Kappa statistics and inter-rater class coefficient to test agreement between the two methods. Results: Symptoms reported included cough (24%), phlegm (15%), wheezing (17%), and shortness of breath (18%). One in five were or had been cigarette smokers. The two data collection methods varied between perfect to slight agreement across the 204 variables evaluated (Kappa varied between 1.00 and 0.02 and inter-rater coefficient between 1.00 and -0.12). Errors were most commonly seen with paper questionnaires (83% of errors seen) vs smartphones (17% of errors seen) administered questionnaires with questions with complex skip-patterns being a major source of errors in paper questionnaires. Automated checks and validations in smartphone-administered questionnaires avoided skip-pattern related errors. Incomplete and inconsistent records were more likely seen on paper questionnaires. Conclusion: Compared to paper-based data collection, smartphone technology worked well for data collection in the study, which was conducted in a challenging rural environment in Sudan. This approach provided timely, quality data with fewer errors and inconsistencies compared to paper-based data collection. We recommend this method for future BOLD studies and other population-based studies in similar settings

Report on the evaluation of surveillance systems relevant to zoonotic diseases in Kenya, 2015: A basis for design of an integrated human–livestock surveillance system

The Zoonoses in Livestock in Kenya (ZooLinK) is a project that seeks to enable Kenya develop an effective surveillance programme for zoonotic diseases (infectious diseases transmissible between animals and human beings). The surveillance programme will be integrated across both human and animal health sectors. To achieve this goal the project will work in close collaboration with Kenyan government departments in responsible for animal and human health. As a prelude to the start of the project, an evaluation of the existing surveillance systems for human and animal health was carried out. The evaluation focused on the national surveillance system and the systems at the western part of Kenya (Busia county, Kakamega county and Bungoma county) where the initial programme will be developed. In conducting the evaluation the investigators used key informant interviews, focused group discussion participant questionnaires, audio recordings and observation for data collection. Data analysis for the qualitative data focused on generating themes or theory around the responses obtained in the key informants interviews and focused group discussions. Univariate analysis was performed by use of simple proportions in calculation for surveillance system attributes like sensitivity, completeness, PVP and Timeliness for the human health surveillance systems. The findings of the evaluation revealed that there was poor linkage between animal health surveillance and the human health surveillance systems. None of the systems had surveillance structures dedicated to zoonotic diseases. Most practitioners used clinical signs for diagnosis of diseases with little reference to acceptable case definitions. Laboratory diagnosis in animal health services focused more on suspected notifiable diseases as opposed to being a standard operating procedure for diagnosis. In Human health services the health care facilities that had laboratory within the facility conducted laboratory diagnosis for cases referred by the clinicians. However, some clinicians preferred using clinical signs for diagnosis to avoid the wait or turn-around time in the laboratory. For effective surveillance of zoonoses to be realized it would be advisable to establish surveillance structures specific to zoonoses and the necessary resources allocated to the surveillance activities. In addition, an integrated approach that incorporated both human and animal disease surveillance should be employed in the surveillance of zoonoses

Mobile Phone Voice, Short Message System, Internet and Social Media Uses among Hard-to-Reach Children in Kampala, Uganda

Introduction: Research shows that many youth groups in Uganda own mobile phones. However, the extent to which youth who live in the slums of Kampala own and uses mobile phones has not been sufficiently explored. With the expansion of mobile technology, mobile health has emerged as a potential cost-effective tool that can allow this youth access health-related data and information. AIM: This study sought to determine the prevalence of mobile phone ownership and uses, document changes from the previous sampling event, and assess the association between mobile phone uses and psychosocial factors in this high-risk population. Methods: A convenience sample (n=1134) was obtained in 2014 from urban youth living on the streets, 12-18 years of age, and who were participating in a Uganda Youth Development Link drop-in center for disadvantaged street youth. Mobile phone use variables consisted of talking/texting, internet use for browsing, and social media. Statistical analyses were performed to determine the likelihood of owning a mobile phone and uses, and its association with youth risk factors. Results: Mobile phone ownership, internet use and social media utilization were 49.1%, 25.5%, and 23.4%, respectively. Compared to the previous study, little change occurred in mobile phone ownership but internet uses for searching and social media increased by double digit percentages. Daily talking and texting was significantly more prevalent in children who reported having STDs (p\u3c0.0001) and trading sex for money (p=0.001), among others, and significantly associated with having STDs (aOR 1.75, 95% CI 1.32-2.32), being drunk (aOR 3.16, 95% CI 2.26-4.42), trading sex for money (aOR 1.97, 95% CI 1.39-2.80), and feeling sad (aOR 1.70, 95% CI 1.25-2.30). Similar results were obtained with internet for searching and social media uses but with less significant associations. Discussion: Based on that about a half of the children own a mobile phone and that a substantial number of them use it daily for talking or texting, the next step would be to design m-Health programs that would take advantage of mobile phone voice and texting capabilities specifically to inform on potential interventions for behavioral change and mental health

Emerging infectious diseases

Emerging Infectious Diseases is providing access to these abstracts on behalf of the ICEID 2012 program committee (www.iceid.org), which performed peer review. Emerging Infectious Diseases has not edited or proofread these materials and is not responsible for inaccuracies or omissions. All information is subject to change. Comments and corrections should be brought to the attention of the authors.Influenza preparedness: lessons learned -- Policy implications and infectious diseases -- Improving preparedness for infectious diseases -- New or rapid diagnostics -- Foodborne and waterborne infections -- Effective and sustainable surveillance platforms -- Healthcare-associated infections -- Molecular epidemiology -- Antimicrobial resistance -- Tropical infections and parasitic diseases -- H1N1 influenza -- Risk Assessment -- Laboratory Support -- Zoonotic and Animal Diseases -- Viral Hepatitis -- E1. Zoonotic and animal diseases -- E2. Vaccine issues -- E3. H1N1 influenza -- E4. Novel surveillance systems -- E5. Antimicrobial resistance -- E6. Late-breakers I -- Antimicrobial resistance -- Influenza preparedness: lessons learned -- Zoonotic and animal diseases -- Improving preparedness for infectious diseases -- Laboratory support -- Early warning systems -- H1N1 influenza -- Policy implications and infectious diseases -- Modeling -- Molecular epidemiology -- Novel surveillance systems -- Tropical infections and parasitic diseases -- Strengthening public health systems -- Immigrant and refugee health -- Foodborne and waterborne infections -- Healthcare-associated infections -- Foodborne and waterborne infections -- New or rapid diagnostics -- Improving global health equity for infectious diseases -- Vulnerable populations -- Novel agents of public health importance -- Influenza preparedness: lessons learned -- Molecular epidemiology -- Zoonotic and animal diseases -- Vaccine-preventable diseases -- Outbreak investigation: lab and epi response -- H1N1 influenza -- laboratory support -- effective and sustainable surveillance platforms -- new vaccines -- vector-borne diseases and climate change -- travelers' health -- J1. Vectorborne diseases and climate change -- J2. Policy implications and infectious diseases -- J3. Influenza preparedness: lessons learned -- J4. Effective and sustainable surveillance platforms -- J5. Outbreak investigation: lab and epi response I -- J6. Late-breakers II -- Strengthening public health systems -- Bacterial/viral coinfections -- H1N1 influenza -- Novel agents of public health importance -- Foodborne and waterborne infections -- New challenges for old vaccines -- Vectorborne diseases and climate change -- Novel surveillance systems -- Geographic information systems (GIS) -- Improving global health equity for infectious diseases -- Vaccine preventable diseases -- Vulnerable populations -- Laboratory support -- Prevention challenges for respiratory diseases -- Zoonotic and animal diseases -- Outbreak investigation: lab and epi response -- Vectorborne diseases and climate change -- Outbreak investigation: lab and epi response -- Laboratory proficiency testing/quality assurance -- Effective and sustainable surveillance platforms -- Sexually transmitted diseases -- H1N1 influenza -- Surveillance of vaccine-preventable diseases -- Foodborne and waterborne infections -- Role of health communication -- Emerging opportunistic infections -- Host and microbial genetics -- Respiratory infections in special populations -- Zoonotic and animal diseases -- Laboratory support -- Antimicrobial resistance -- Vulnerable populations -- Global vaccine initiatives -- Tuberculosis -- Prevention challenges for respiratory diseases -- Infectious causes of chronic diseases -- O1. Outbreak investigation: lab and epi response II -- O2. Prevention challenges for respiratory diseases -- O3. Populations at high risk for infectious diseases -- O4. Foodborne and waterborne infections -- O5. Laboratory support: surveillance and monitoring infections -- O6. Late-breakers IIIAbstracts published in advance of the conference

Improving cattle disease reporting and surveillance in Ethiopia using smartphone-based application

This study explores the use of a smartphone-based application to increase the accuracy and completeness of cattle disease reporting and surveillance in three regions of Ethiopia. We compared the performance of a smartphone-based application with traditional (paper-based) cattle diagnosis and reporting, in terms of demographics and disease information, level of detail and delay in time to transmit information to higher levels. A total of 547 and 678 clinical cattle cases were diagnosed in veterinary clinics visited by two groups of final-year veterinary students using the VetAfrica-Ethiopia (VAE) smartphone app and manual approach respectively. The group using the VAE application diagnosed over 90% cases as diseases of a specific name, while in reports from the manual system almost 50% of cases were diagnosed as non-specific diseases or ‘syndromes’. Furthermore, the mean duration of time required for smartphone data to be received by zonal- and federal- level veterinary services through a Cloud-based server were estimated to be two days (95% CI: 1.6–2.3), five days (95% CI: 3.8–5.4), and 13 days (95% CI: 12–14.9) in the Central, Eastern and Southern regions. The traditional reporting system adopted a batch reporting approach and only around two thirds of all cases reach the federal veterinary service by the end of a month. Despite the fact that such smartphone technology-assisted reporting and surveillance involves considerable start-up challenges and may be affected by intermittent mobile internet network coverage, they offer significant benefits in terms of improving data integrity, timeliness and reduced costs in the long run

Adaptation of a Danish online version of the Oxford Physical Activity Questionnaire (OPAQ) for secondary school students-a pilot study

OBJECTIVE: To adapt and partly validate a Danish online version of the patient-reported outcome measure (PROM) Oxford Physical Activity Questionnaire (“OPAQ”) and evaluate mobile phones and tablets as data capturing tool to identify potential problems and deficiencies in the PROM prior to implementation in the full study. METHODS: The OPAQ was translated into Danish by a formalised forward-backward translation procedure. Face validity was examined by interviewing 12 school students aged 10–15, recruited from two Danish public schools. After modifications, the online version of the Danish OPAQ was pilot tested in a convenience sample of seven school students for 1 week. Simultaneous objective accelerometer data were captured during the registration period. RESULTS: No major challenges were identified when translating OPAQ. Based on the interviews, the Danish version of OPAQ was perceived to be easy to understand in general, and the questions were relevant for tracking activities during the week. Five of the 12 participants had difficulties with understanding the introductory question: “what is your cultural background” in the original OPAQ. The interviews revealed that the participants recalling 7 days forgot to record some of the physical activity they had done during the week, indicating issues with the weekly recall method. After transforming to the online version, this was reported to be easy and quick to fill in (taking 1–3 min per day), and participants reported the daily design was helpful to remember activities. There was good correspondence between the online version and objective actigraphs with a tendency to underreport. Six participants reported 10–60 min less moderate to vigorous physical activity compared to the actigraphs, while one participant reported 3 min more. CONCLUSION: Participants found the online OPAQ quick and easy to complete during a 1-week period. Completing daily rather than weekly may help limit issues with recall. Overall, there was good agreement between the objective actigraphs and the OPAQ, though the OPAQ tended to slightly underreport moderate to vigorous physical activity. The Danish online version of OPAQ may be useful for capturing school students’ physical activity when objective measures are not feasible. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40814-022-01108-x

Emerg Infect Dis

PMC4550154611