Tackling the COVID-19 infodemic among Syrian refugees in Lebanon:Development and evaluation of the "Wikaytek" tool

OBJECTIVE: The COVID-19 infodemic has been a global public health challenge, especially affecting vulnerable populations such as Syrian refugees with limited internet access and functional, health, digital, and media literacies. To address this problem, we developed Wikaytek, a software to diffuse reliable COVID-19 information using WhatsApp, the preferred communication channel among Syrian refugees. In this paper, we describe the systematic development of the tool. METHODS: We undertook a pilot study guided by the Humanitarian Engineering Initiative (HEI)'s user-centered design framework, comprising five stages: (a) user research, including needs assessment and desk review of interventions with target users; (b) concept design based on platform and source selection, message format, concept testing, and architecture design; (c) prototyping and implementation, encompassing software development and system operation; (d) user testing (alpha and beta); and (e) evaluation through software analytics and user interviews. We reported a qualitative process evaluation.RESULTS: Wikaytek scrapes validated and reliable COVID-19-related information from reputable sources on Twitter, automatically translates it into Arabic, attaches relevant media (images/video), and generates an audio format using Google text-to-speech. Then, messages are broadcast to WhatsApp. Our evaluation shows that users appreciate receiving "push" information from reliable sources they can trust and prefer the audio format over text. CONCLUSIONS: Wikaytek is a useful and well-received software for diffusing credible information on COVID-19 among Syrian refugees with limited literacy, as it complements the texts with audio messages. The tool can be adapted to diffuse messages about other public health issues among vulnerable communities, extending its scope and reach in humanitarian settings. </p

Trends, wealth inequalities and the role of the private sector in caesarean section in the Middle East and North Africa : A repeat cross-sectional analysis of population-based surveys

Peer reviewedPublisher PD

Capturing children food exposure using wearable cameras and deep learning

Children’s dietary habits are influenced by complex factors within their home, school and neighborhood environments. Identifying such influencers and assessing their effects is traditionally based on self- reported data which can be prone to recall bias. We developed a culturally acceptable machine-learning-based data-collection system to objectively capture school-children’s exposure to food (including food items, food advertisements, and food outlets) in two urban Arab centers: Greater Beirut, in Lebanon, and Greater Tunis, in Tunisia. Our machine-learning-based system consists of 1) a wearable camera that captures continuous footage of children’s environment during a typical school day, 2) a machine learning model that automatically identifies images related to food from the collected data and discards any other footage, 3) a second machine learning model that classifies food-related images into images that contain actual food items, images that contain food advertisements, and images that contain food outlets, and 4) a third machine learning model that classifies images that contain food items into two classes, corresponding to whether the food items are being consumed by the child wearing the camera or whether they are consumed by others. This manuscript reports on a user-centered design study to assess the acceptability of using wearable cameras to capture food exposure among school children in Greater Beirut and Greater Tunis. We then describe how we trained our first machine learning model to detect food exposure images using data collected from the Web and utilizing the latest trends in deep learning for computer vision. Next, we describe how we trained our other machine learning models to classify food-related images into their respective categories using a combination of public data and data acquired via crowdsourcing. Finally, we describe how the different components of our system were packed together and deployed in a real-world case study and we report on its performance

A double-edged sword : telemedicine for maternal care during COVID-19 : findings from a global mixed-methods study of healthcare providers

Introduction The COVID-19 pandemic has led to a rapid implementation of telemedicine for the provision of maternal and newborn healthcare. The objective of this study was to document the experiences with providing telemedicine for maternal and newborn healthcare during the pandemic among healthcare professionals globally. Methods The second round of a global online survey of maternal and newborn health professionals was conducted, disseminated in 11 languages. Data were collected between 5 July and 10 September 2020. The questionnaire included questions regarding background, preparedness and response to COVID-19, and experiences with providing telemedicine. Descriptive statistics and qualitative thematic analysis were used to analyse responses, disaggregated by country income level. Results Responses from 1060 maternal and newborn health professionals were analysed. Telemedicine was used by 58% of health professionals and two-fifths of them reported not receiving guidelines on the provision of telemedicine. Key telemedicine practices included online birth preparedness classes, antenatal and postnatal care by video/phone, a COVID-19 helpline and online psychosocial counselling. Challenges reported lack of infrastructure and technological literacy, limited monitoring, financial and language barriers, lack of non-verbal feedback and bonding, and distrust from patients. Telemedicine was considered as an important alternative to in-person consultations. However, health providers emphasised the lower quality of care and risk of increasing the already existing inequalities in access to healthcare. Conclusions Telemedicine has been applied globally to address disruptions of care provision during the COVID-19 pandemic. However, some crucial aspects of maternal and newborn healthcare seem difficult to deliver by telemedicine. More research regarding the effectiveness, efficacy and quality of telemedicine for maternal healthcare in different contexts is needed before considering long-term adaptations in provision of care away from face-to-face interactions. Clear guidelines for care provision and approaches to minimising socioeconomic and technological inequalities in access to care are urgently needed

Maternal and newborn healthcare providers’ work-related experiences during the COVID-19 pandemic, and their physical, psychological, and economic impacts: Findings from a global online survey.

The COVID-19 pandemic continues to have substantial impacts on health systems globally. This study describes experiences during the COVID-19 pandemic, and physical, psychological and economic impacts among maternal and newborn healthcare providers. We conducted a global online cross-sectional survey of maternal and newborn healthcare providers. Data collected between July and December 2020 included demographic characteristics, work-related experiences, and physical, psychological, and economic impacts of COVID-19. Descriptive statistics of quantitative data and content analysis of qualitative data were conducted. Findings were disaggregated by country income-level. We analysed responses from 1,191 maternal and newborn healthcare providers from 77 countries: middle-income 66%, high-income 27%, and low-income 7%. Most common cadres were nurses (31%), midwives/nurse-midwives (25%), and obstetricians/gynaecologists (21%). Quantitative and qualitative findings showed that 28% of respondents reported decreased workplace staffing levels following changes in staff-rotation (53%) and staff self-isolating after exposure to SARS-CoV-2 (35%); this led to spending less time with patients, possibly compromising care quality. Reported insufficient access to personal protective equipment (PPE) ranged from 12% for gloves to 32% for N-95 masks. Nonetheless, wearing PPE was tiresome, time-consuming, and presented potential communication barriers with patients. 58% of respondents reported higher stress levels, mainly related to lack of access to information or to rapidly changing guidelines. Respondents noted a negative financial impact—a decrease in income (70% among respondents from low-income countries) concurrently with increased personal expenditures (medical supplies, transportation, and PPE). Negative physical, psychological and economic impacts of COVID-19 on maternal and newborn healthcare providers were ongoing throughout 2020, especially in low-income countries. This can have severe consequences for provision and quality of essential care. There is need to increase focus on the implementation of interventions aiming to support healthcare providers, particularly those in low- and middle-income countries to protect essential health services from disruption

School and community drivers of child diets in two Arab cities : the SCALE protocol and innovative tools to assess children’s food environments

In the context of the rapid nutrition transition experienced by middle-income countries of the Arab region, children and adolescent’s food choices and dietary behaviors are early risk factors for the development of non-communicable diseases. Assessment of factors influencing food choices among this age group is challenging and is usually based on self-reported data, which are prone to information and recall bias. As the popularity of technologies and video gaming platforms increases, opportunities arise to use these tools to collect data on variables that affect food choice, dietary intake, and associated outcomes. This protocol paper describes the SCALE study (School and community drivers of child diets in Arab cities; identifying levers for intervention) which aims to explore the environments at the level of households, schools and communities in which children’s food choices are made and consequently identify barriers and enablers to healthy food choices within these environments

Neonatal and perinatal mortality in the urban continuum:A geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania

Introduction Neonatal mortality might be higher in urban areas. This paper aims to minimize challenges related to misclassification of neonatal deaths and stillbirths, and oversimplification of the variation in urban environments to accurately estimate the direction and strength of the association between urban residence and neonatal/perinatal mortality in Tanzania. Methods The Tanzania Demographic and Health Survey (DHS) 2015-16 was used to assess birth outcomes for 8,915 pregnancies among 6,156 women of reproductive age, by urban or rural categorization in the DHS and based on satellite imagery. The coordinates of 527 DHS clusters were spatially overlaid with the 2015 Global Human Settlement Layer, showing the degree of urbanisation based on built environment and population density. A three-category urbanicity measure (core urban, semi-urban, and rural) was defined and compared to the binary DHS measure. Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. Bivariate and multi-level multivariable logistic regression models were constructed to explore associations between urbanicity and neonatal/perinatal deaths. Results Both perinatal and neonatal mortality rates were highest in core urban and lowest in rural clusters. Bivariate models showed higher odds of neonatal death (OR=1.85; 95% CI: 1.12, 3.08) and perinatal death (OR=1.60; 95% CI 1.12, 2.30) in core urban compared to rural clusters. In multivariable models, these associations had the same direction and size, but were no longer statistically significant. Travel time to nearest hospital was not associated with neonatal or perinatal mortality. Conclusion Addressing the higher rates of neonatal and perinatal mortality in densely populated urban areas is critical for Tanzania to meet national and global reduction targets. Urban populations are diverse, and certain neighbourhoods or sub-groups may be disproportionately affected by poor birth outcomes. Research must sample within and across urban areas to differentiate, understand and minimize risks specific to urban settings. Key questions What is already known? - Urban advantage in health outcomes has been questioned, both for adult and child mortality - An analysis of neonatal mortality using Demographic and Health Survey data in Tanzania in 2015-16 showed double risk in urban compared to rural areas - This phenomenon might be occurring in other sub-Saharan African countries What are the new findings? - Categorisation of locations as urban or rural on the 2015-16 Demographic and Health Survey in Tanzania is both simplistic and inaccurate - Risks of neonatal and perinatal mortality are highest in core, densely populated urban areas in mainland Tanzania, and lowest in rural areas - Travel time to nearest public hospital was not associated with neonatal or perinatal mortality in mainland Tanzania What do the new findings imply? - Extent of urbanicity as an exposure follows a spectrum and needs to be measured and understood as such - Explanatory models specific to neonatal and perinatal mortality in core urban areas are urgently needed to guide actions toward reducing existing high rate - Known risk factors such as anaemia and young maternal age continue to play a role in neonatal and perinatal mortality and must be urgently addressed

Responding to health needs of women, children and adolescents within Syria during conflict: intervention coverage, challenges and adaptations.

BACKGROUND: Women and children suffer disproportionately in armed-conflicts. Since 2011, the protracted Syrian crisis has fragmented the pre-existing healthcare system. Despite the massive health needs of women and children, the delivery of key reproductive, maternal, newborn, child and adolescent health and nutrition (RMNCAH&N) interventions, and its underlying factors are not well-understood in Syria. Our objective was to document intervention coverage indicators and their implementation challenges inside Syria during conflict. METHODS: We conducted 1) a desk review to extract RMNCAH&N intervention coverage indicators inside Syria during the conflict; and 2) qualitative interviews with decision makers and health program implementers to explore reasons behind provision/non-provision of RMNCAH&N interventions, and the rationale informing decisions, priorities, collaborations and implementation. We attempt to validate findings by triangulating data from both sources. RESULTS: Key findings showed that humanitarian organisations operating in Syria adopted a complex multi-hub structure, and some resorted to remote management to improve accessibility to certain geographic areas. The emergency response prioritised trauma care and infectious disease control. Yet, with time, humanitarian organisations successfully advocated for prioritising maternal and child health and nutrition interventions given evident needs. The volatile security context had implications on populations' healthcare seeking behaviors, such as women reportedly preferring home births, or requesting Caesarean-sections to reduce insecurity risks. Additional findings were glaring data gaps and geographic variations in the availability of data on RMNCAH&N indicators. Adaptations of the humanitarian response included task-shifting to overcome shortage in skilled healthcare workers following their exodus, outreach activities to enhance access to RMNCAH&N services, and operating in 'underground' facilities to avoid risk of attacks. CONCLUSION: The case of Syria provides a unique perspective on creative ways of managing the humanitarian response and delivering RMNCAH&N interventions, mainly in the multi-hub structure and use of remote management, despite encountered challenges. The scarcity of RMNCAH&N data is a tremendous challenge for both researchers and implementing agencies, as it limits accountability and monitoring, thus hindering the evaluation of delivered interventions

Balance and antecipatory postural adjustments in elderly fallers: effects of kinesiotherapy and virtual rehabilitation

Aging causes a number of changes in motor control of the individual and consequently in postural adjustments. Objective: To evaluate the balance and anticipatory postural adjustments of the agonist muscles and the ankle joint antagonists and compare the effect of rehabilitation virtual and kinesiotherapy in the elderly. Methods: Twenty four elderly participated of this study divided into two groups. 12 participants and the kinesiotherapy group by 12 participants composed the virtual rehabilitation group, equally. The treatment protocol was conducted for six weeks. Virtual rehabilitation group used Xbox 360 with kinect and Your Shape Fitness Evolved game. In the kinesiotherapy group the same protocol exercises were performed. Results: The results indicated a statistically significant difference between pre and post intervention phases in Berg Balance Scale in both groups. There was decreased activation of tibialis anterior muscle in the right functional range of task after interventions, and increased lateral gastrocnemius muscle activation rights in the trunk flexion after training. No differences were observed in muscle activation between the two types of intervention. Conclusion: Protocols with therapeutic exercise and virtual rehabilitation were effective in improving balance and functional capacity of fallers, with no differences between the two types of interventionO envelhecimento provoca uma série de alterações no controle motor do indivíduo e consequentemente nos ajustes posturais. Objetivo: Comparar o efeito da reabilitação virtual e cinesioterapia em idosos caidores no equilíbrio e no ajuste postural antecipatório dos músculos agonistas e antagonistas da articulação do tornozelo. Métodos: Participaram 24 idosos que foram alocados em dois grupos: 12 participantes no grupo reabilitação virtual e 12 participantes no grupo cinesioterapia. O protocolo foi realizado durante seis semanas, sendo duas sessões por semana. No grupo reabilitação virtual foi utilizado o console Xbox 360 com kinect e o jogo Your Shape Fitness Evolved. No grupo cinesioterapia foram realizados exercícios de equilíbrio e propriocepção. Resultados: Ambos os grupos apresentaram maior pontuação na escala de equilíbrio de Berg após a intervenção. Houve diminuição da ativação do músculo tibial anterior direito no alcance funcional após a intervenção realizada, e aumento da ativação músculo gastrocnêmio lateral direito na flexão de tronco após o treinamento. Não encontrou-se diferenças na ativação muscular entre os dois tipos de intervenção. Conclusão: Os protocolos cinesioterapia e reabilitação virtual foram eficazes na melhora do equilíbrio e na capacidade funcional de idosos caidores, não havendo diferenças entre os dois tipos de intervençã

Increasing prevalence of overweight and obesity among Tanzanian women of reproductive age intending to conceive: evidence from three Demographic Health Surveys, 2004-2016

# Background The prevalence of people who are overweight or obese is increasing globally, especially in low- and middle-income countries. High body mass index (BMI) among women of reproductive age is a risk factor for various adverse reproductive and pregnancy outcomes. This study aims to describe trends over time in the distribution of BMI among Tanzanian women of reproductive age intending to conceive between 2004/5 and 2015/16, and identify factors associated with high BMI. # Methods We used data on 20,819 women of reproductive age (15-49 years) intending to conceive who participated in the Tanzania Demographic and Health Surveys in 2004/5, 2010 and 2015/16. We estimated the prevalence of high BMI (being overweight \[≥25 to <30 kg/m^2^] and obesity \[≥30kg/m^2^) and trends in the prevalence of high BMI across the three surveys. Using survey-weighted multivariable logistic regression, we used the most recent 2015/16 survey data to identify factors associated with high BMI. # Results Median BMI increased from 21.7kg/m^2^ (inter-quartile range, IQR=19.9-24.1 kg/m^2^) in 2004/5 to 22.0 kg/m^2^ (IQR=20.0-24.8 kg/m^2^) in 2010 to 22.7 kg/m^2^ (IQR=20.4-26.0 kg/m^2^) in 2015/16. The prevalence of overweight women increased from 11.1% in 2004/5 to 15.8% in 2015 (P <0.001). The prevalence of obesity increased from 3.1% in 2004/5 to 8.0% in 2015/16 (P<0.001). Women in the highest wealth quintile had higher odds (adjusted odds ratio, aOR= 4.5; 95%CI 3.4-6.3, P<0.001) of high BMI than women in the lowest quintile. The odds of high BMI were about four times greater (aOR=3.9; 95%CI=2.9-5.4, P<0.001) for women 40-44 years compared to 20–24-year-olds. Women in the high-paying occupations had greater odds of high BMI than those working in agriculture (aOR=1.5; 95% CI=1.1-2.2, P=0.002). Women residing in the Southern zone had 1.9 (95%CI=1.5-2.5, P<0.001) greater odds of high BMI than Lake zone residents. # Conclusions In Tanzania, high BMI affects almost 1 in 4 women of reproductive age who intend to conceive. This contributes to the burden of poor maternal and reproductive health outcomes. We recommend developing and implementing health-system strategies for addressing high BMI, tailored to the modifiable risk factors identified among women of reproductive age