You’ve got a friend in me: How social networks and mobile phones facilitate healthcare access among marginalised groups in rural Thailand and Lao PDR

COVID-19 vaccination willingness in peri-urban Tanzanian communities: Towards contextualising and moving beyond the individual perspective

“…This is in line with the results of a systematic review on social networks and health behaviour in low-and middle-income countries, which highlights that a change in behaviour within a social network diffuses more easily if the first people to exhibit this behavioural change are those that are central to the network (Perkins et al, 2015). Additionally, people with larger social support networks are more likely to take advantage of public healthcare initiatives, such as vaccination campaigns (Haenssgen et al, 2022).…”

An Intelligent Digital Learning Platform to Enhance Digital Health Literacy

“…Summary of the characteristics of people with digital health literacy. The nine features of people with digital health literacy [2], [4], [18], [19], [20], [21], [22] are as follows: 1) healthcare accessibility; 2) social support network accessibility; 3) understanding; 4) ability to leverage digital technology to solve problems; 5) Digital literacy; 6) competence in operating computer equipment; 7) health knowledge; 8) assessing the relevance of the content, and 9) making appropriate health decisions, as shown in Fig- ure 1.…”

Community‐level incidence and treatment seeking during febrile illness: Insights from health behaviour surveys in rural Thailand and Laos

“…Lastly, the survey data also captured a range of demographic and socio-economic variables that were likely to have an influence on fever treatment-seeking behaviour [16,23,[33][34][35][36][37]. Representing common 'control variables' in social research, the main variables included in this study were the sex of the survey respondent ( [1] if female), age group (18-24, 25-34, 35-44, 45-59, 60+ and 0-4 and 5-17 if respondents reported on illness episodes of minors under their supervision), education (number of completed years of formal education), language ability ( [1] if respondent spoke the main language of Thai/Lao in the respective study site), ethnicity ( [1] if respondent belonged to the majority ethnic Thai/Khon Mueang groups in Chiang Rai or Lao Loum in Salavan), religion ( [1] if respondent belonged to the majority religion of Buddhism in either site), occupation (comprising different types of precarious and secure employment such as daily labourers and drivers vs. contractual employees and government workers), housing conditions (on an ordinally decreasing scale from [1] stone, [2] wood and [3] natural materials), a wealth index (calculated on a scale from [0-1] of ownership of 16 common household assets and amenities such as a fridge and a rice cooker) and specific assets and amenities that likely influenced treatmentseeking behaviour (electricity at home, water access, owning a motor vehicle) and the respondents' distance to the nearest markets and healthcare sources.…”