Type 1 diabetes care delivery in Yaoundé, Cameroon: Social and political representations.

BACKGROUND:  Increasing chronic diseases challenges the health systems of low- and middle-income countries, including Cameroon. Type 1 diabetes (T1D), among the most common chronic diseases in children, poses particular care delivery challenges. AIM:  We examined social representations of patients' roles and implementation of T1D care among political decision-makers, healthcare providers and patients within families. SETTING:  The study was conducted in Yaoundé, Cameroon. METHODS:  Eighty-two individuals were included in the study. The authors conducted semi-structured interviews with policy makers (n = 5), healthcare professionals (n = 7) and patients 'parents (n = 20). Questionnaires were administered to paediatric patients with T1D (n = 50). The authors also observed care delivery at a referral hospital and at a T1D-focused non-governmental organisation over 15 days. Data were analysed using thematic content analysis and descriptive statistics. RESULTS:  Cameroonian health policy portrays patients with T1D as passive recipients of care. While many practitioners recognised the complex social and economic determinants of adherence to T1D care, in practice interactions focused on specific biomedical issues and offered brief guidance. Cultural barriers and policy implementation challenges prevent patients and their families from being fully active participants in care. Parents and children prefer an ongoing relationship with a single clinician and interactions with other patients and families. CONCLUSION:  Patients and families mobilise experience and lay knowledge to complement biomedical knowledge, but top-down policy and clinical practice limit their active engagement in T1D care.Contribution: Children with T1D and their families, policy makers, healthcare professionals, and civil society have new opportunities to contribute to person-centred care, as advocated by the Sustainable Development Goals.

The politics of disease.

The COVID-19 pandemic highlights a long-known but often neglected aspect of international relations: the ability of disease to challenge and change all aspects of security, as well as the ability of public policies to change the course of disease progression. Diseases, especially mass epidemics like COVID-19, clearly affect political, economic, and social structures, but they can also be ameliorated or exacerbated by political policies, including public health policies. The threat of pandemic disease poses a widespread and increasing threat to international stability. Indeed, the political implications of pandemic disease have become increasingly evident as COVID-19 has precipitated death, economic collapse, and political instability around the globe. Any pandemic disease can precipitate catastrophes, from increasing health care costs to decreased productivity. This theoretical discussion highlights the intertwined interactions between social, political, and economic forces and the emergence and evolution of pandemic disease, with widespread implications for governance and international security.

Risk perceptions and behaviors concerning rural tourism and economic-political drivers of COVID-19 policy in 2020.

When COVID-19 was first introduced to the United States, state and local governments enacted a variety of policies intended to mitigate the virulence of the epidemic. At the time, the most effective measures to prevent the spread of COVID-19 included stay-at-home orders, closing of nonessential businesses, and mask mandates. Although it was well known that regions with high population density and cold climates were at the highest risk for disease spread, rural counties that are economically reliant on tourism were incentivized to enact fewer precautions against COVID-19. The uncertainty of the COVID-19 pandemic, the multiple policies to reduce transmission, and the changes in outdoor recreation behavior had a significant impact on rural tourism destinations and management of protected spaces. We utilize fine-scale incidence and demographic data to study the relationship between local economic and political concerns, COVID-19 mitigation measures, and the subsequent severity of outbreaks throughout the continental United States. We also present results from an online survey that measured travel behavior, health risk perceptions, knowledge and experience with COVID-19, and evaluation of destination attributes by 407 out-of-state visitors who traveled to Maine from 2020 to 2021. We synthesize this research to present a narrative on how perceptions of COVID-19 risk and public perceptions of rural tourism put certain communities at greater risk of illness throughout 2020. This research could inform future rural destination management and public health policies to help reduce negative socioeconomic, health and environmental impacts of pandemic-derived changes in travel and outdoor recreation behavior.

Consumo de alimentos ultraprocesados en niños entre 6 y 23 meses según la Segunda Encuesta Nacional de Nutrición y Salud de Argentina / Consumption of ultra-processed foods among children aged 6 to 23 months as per the Second National Survey on Nutrition and Health of Argentina

Introducción. Contar con los datos del consumo de alimentos ultraprocesados en los niños resulta importante para planificar políticas públicas. Objetivos. Describir la prevalencia de consumo de alimentos ultraprocesados en menores de 2 años e identificar factores asociados. Describir la proporción que los alimentos ultraprocesados representan del número total de los alimentos consumidos en el día. Métodos. Análisis secundario de los datos de niños entre 6 y 23 meses de edad con al menos un recordatorio de 24 horas de consumo de alimentos de la Segunda Encuesta Nacional de Nutrición y Salud de Argentina del año 2018. Se estudiaron como variables principales: "consumo de alimentos ultraprocesados" (según el sistema NOVA) categorizada en sí/no y la "proporción de ultraprocesados del total de alimentos consumidos". Los factores asociados explorados fueron lactancia materna, sexo, edad y el número de alimentos no ultraprocesados consumidos. Se realizó un modelo de regresión logística multivariable y se aplicó un factor de expansión para ponderar los datos. Resultados. Se incluyeron 4224 niños (ponderado 908 104). La prevalencia de consumo de ultraprocesados fue del 90,8 % (IC95%: 89,5-92) y fue asociado con mayor edad (OR 3,21; IC95% 2,28-4,52) y con el número de alimentos no ultraprocesados consumidos (OR 1,17; IC95% 1,13-1,23). Los ultraprocesados representaron una mediana del 20 % (RIC: 12,5-28,6 %) del total de alimentos consumidos en el día. Conclusiones. Este estudio señala la alta penetración de los alimentos ultraprocesados en la alimentación complementaria.

Introduction. The availability of data on the consumption of ultra-processed foods among children is important for planning public policies. Objectives. To describe the prevalence of consumption of ultra-processed foods in children under 2 years of age and identify associated factors. To describe the proportion that ultra-processed foods represent out of the total number of foods consumed in a day. Methods. Secondary analysis of data from children aged 6­23 months with at least a 24-hour recall of food consumption based on the Second National Survey on Nutrition and Health of Argentina (2018). The following primary variables were studied: "consumption of ultra-processed foods" (according to the NOVA system) categorized into yes/no and "proportion of ultra-processed out of total foods consumed." The following associated factors were studied: breastfeeding, sex, age, and number of non-ultra-processed foods consumed. A multivariate logistic regression model was developed and an expansion factor was applied to weight the data. Results. A total of 4224 children were included (weighed: 908 104). The prevalence of ultra-processed food consumption was 90.8% (95% CI: 89.5­92) and was associated with an older age (OR: 3.21, 95% CI: 2.28­4.52) and the number of non-ultra-processed foods consumed (OR: 1.17, 95% CI: 1.13­1.23). Ultra-processed foods accounted for a median 20% (IQR: 12.5­28.6%) of all foods consumed in a day. Conclusions. This study highlights the high penetration of ultra-processed foods in complementary feeding.

Alcohol to-go sales policies at on-premise drinking establishments near large public US universities during the COVID-19 pandemic.

AIMS: Sweeping policy changes during the COVID-19 pandemic increased alcohol availability through permitted to-go sales, potentially posing unique risks to college students. While to-go sales may make binge drinking more convenient, little remains known about these practices. Therefore, this study aimed to assess whether drinking establishments' to-go sales practices are associated with their other operational practices and state policy. METHOD: This cross-sectional analysis included 221 randomly selected bars, nightclubs, and restaurants within two miles of a large public university. Telephone interviews assessed establishment practices, and the Alcohol Policy Information System provided state alcohol to-go laws. Regression models tested whether establishment to-go sales practices were associated with their business practices (logistic regression) and state policy (generalized estimating equations). RESULTS: Nearly one-half (44.8%) of drinking establishments sold alcohol to-go. Establishments with higher vodka prices had nearly 30% higher odds of selling spirits to-go (aOR = 1.29) and establishments offering happy hours specials had more than twice the odds of selling beer (aOR = 2.22), wine (aOR = 2.53), and spirits to-go (aOR = 2.60). Additionally, establishments that implemented physical distance requirements had higher odds of selling wine to-go (aOR = 3.00). State to-go laws were associated with higher odds of selling wine (aOR = 3.99) and spirits to-go (aOR = 5.43) in the full sample and beer to-go (aOR = 4.92) in urban counties. CONCLUSIONS: Establishments that sell alcohol to-go tend to engage in other practices designed to drive sales. Evaluations of alcohol to-go sales laws on risky consumption among priority populations, including college students, are urgently needed to inform decisions about how to appropriately regulate sales.

Multisectoral interventions for urban health in Africa: a mixed-methods systematic review.

Increasing evidence suggests that urban health objectives are best achieved through a multisectoral approach. This approach requires multiple sectors to consider health and well-being as a central aspect of their policy development and implementation, recognising that numerous determinants of health lie outside (or beyond the confines of) the health sector. However, collaboration across sectors remains scarce and multisectoral interventions to support health are lacking in Africa. To address this gap in research, we conducted a mixed-method systematic review of multisectoral interventions aimed at enhancing health, with a particular focus on non-communicable diseases in urban African settings. Africa is the world's fastest urbanising region, making it a critical context in which to examine the impact of multisectoral approaches to improve health. This systematic review provides a valuable overview of current knowledge on multisectoral urban health interventions and enables the identification of existing knowledge gaps, and consequently, avenues for future research. We searched four academic databases (PubMed, Scopus, Web of Science, Global Health) for evidence dated 1989-2019 and identified grey literature from expert input. We identified 53 articles (17 quantitative, 20 qualitative, 12 mixed methods) involving collaborations across 22 sectors and 16 African countries. The principle guiding the majority of the multisectoral interventions was community health equity (39.6%), followed by healthy cities and healthy urban governance principles (32.1%). Targeted health outcomes were diverse, spanning behaviour, environmental and active participation from communities. With only 2% of all studies focusing on health equity as an outcome and with 47% of studies published by first authors located outside Africa, this review underlines the need for future research to prioritise equity both in terms of research outcomes and processes. A synthesised framework of seven interconnected components showcases an ecosystem on multisectoral interventions for urban health that can be examined in the future research in African urban settings that can benefit the health of people and the planet.Paper ContextMain findings: Multisectoral interventions were identified in 27.8% of African countries in the African Union, targeted at major cities with five sectors present at all intervention stages: academia or research, agriculture, government, health, and non-governmental.Added knowledge: We propose a synthesised framework showcasing an ecosystem on multisectoral interventions for urban health that can guide future research in African urban settings.Global health impact for policy and action: This study reveals a crucial gap in evidence on evaluating the long-term impact of multisectoral interventions and calls for partnerships involving various sectors and robust community engagement to effectively deliver and sustain health-promoting policies and actions.

France needs a chief science adviser.

France is at a crossroads, facing environmental and social challenges that are profoundly altering its society. Yet, the French government keeps prioritizing short-term political gains over long-term evidence-based planning for major transitions that France, like most countries, will undergo over the next 20 years. There is an urgent need for France to implement long-term science-informed policy-making.

Trust as a catalyst: revealing the impact of government trust and professional trust on public health policy compliance during a pandemic.

BACKGROUND: Existing research has extensively explored the relationship between government trust and compliance behaviour, but significant controversies exist. Some studies suggest a strong positive correlation between the two. Other studies have found that government trust hinders compliance behaviour. However, during the pandemic, the effectiveness of public health policies largely depends on the public's compliance with these policies. To examine the aforementioned controversies, this study utilizes survey data on the Chinese population during the COVID-19 period to explore the relationship between compliance with public health policies and government trust. METHODS: The study conducted a questionnaire survey of 1,395 individuals from 25 provinces in China from mid-November to mid-December 2022. Firstly, we categorized the public's compliance behaviour with public health policies based on the results of factor analysis. Subsequently, we examined the impact of government trust and professional trust on compliance behaviour with public health policies by constructing a structural equation model. RESULTS: Based on the results of factor analysis, we classified public adherence to public health policies into protective compliance and restrictive compliance. Results from the structural equation model show a positive correlation between the public's trust in the government and both protective and restrictive compliance, with a stronger influence on protective compliance. Government trust also exerts a positive impact on restrictive compliance behaviour through professional trust. Additionally, the study indicates a significant positive correlation between the public's professional trust and restrictive compliance, while it does not significantly affect protective compliance. Moreover, the public from rural areas demonstrates a greater willingness to adhere to both types of public health policies. Married individuals exhibit a stronger inclination toward protective compliance, while females show a stronger tendency toward restrictive compliance. CONCLUSION: The study revealed a significant positive impact of government trust and professional trust on compliance behaviour with public health policies during the COVID-19 pandemic, refuting any negative correlation between government trust and compliance behaviour. Normative motivations for compliance behaviour had a substantial impact on adherence. These findings offer valuable insights for future public health crisis management and public policy formulation.

Reinventando a participação no SUS: o controle social em defesa da Democracia e do Direito à Saúde - 30 anos do Conselho Municipal de Saúde de Porto Alegre! / Reinventing participation in the SUS: social control in defense of Democracy and the Right to Health - 30 years of the Porto Alegre Municipal Health Council!

Este livro celebra os 30 anos do Conselho Municipal de Saúde de Porto Alegre e reúne um conjunto de textos que apresentam e discutem ações e lutas ocorridas a partir de 2017 relacionadas ao CMS-POA, buscando sistematizar e dar visibilidade aos temas emergentes e principais desafios enfrentados no período. O CMS-POA tem a tradição de compartilhar seu percurso e suas reflexões por meio de notas públicas, manifestos e, a cada quinquênio, um livro. Os livros comemorativos têm se consolidado ao longo dos 15, 20, 25 e agora 30 anos do Conselho. Os registros memoriais dessa trajetória constituem um movimento de resistência e refundação dos fazeres do Conselho, que tem enfrentado o desafio de monitorar e consolidar o SUS na cidade. Nesse livro, em especial, buscamos aprofundar o tema emergente do empresariamento da Saúde, mas também de ações e projetos desenvolvidos pelo CMS-POA e por seus parceiros, o que demanda reflexões sobre o atual cenário das políticas de saúde e dos interesses em disputa. Os textos foram escritos por parceiros históricos do Conselho que conosco acreditam que saúde é democracia e, portanto, se faz com participação social.

The role of collectivism, liberty, COVID fatigue, and fatalism in public support for the zero-COVID policy and relaxing restrictions in China.

BACKGROUND: China was the last country in the world to relax COVID-19 restrictions. A successful public health policy requires public support. This analysis examined the factors associated with Chinese support for zero-COVID and relaxing COVID-19 restrictions in China. METHOD: Two online surveys were conducted among Chinese participants in mainland China on June 10-13 (N = 460) and December 2, 2022 (N = 450). These two samples were similar based on the participants' demographics. RESULTS: The results revealed that the perceived health consequences of a COVID-19 policy, perceived norms of approving a COVID-19 policy, and hope positively predicted the participants' support for the COVID-19 policy. The results further showed that collectivism and fatalism positively predicted support for zero-COVID and negatively predicted support for relaxing restrictions. COVID fatigue was negatively associated with support for zero-COVID and positively associated with support for relaxing restrictions. Liberty positively predicted support for relaxing restrictions in June and negatively predicted zero-COVID in December 2023. It did not positively or negatively predict support for the policy adopted by the government. CONCLUSION: Collectivism, liberty, COVID fatigue, and fatalistic beliefs are important considerations connected to public support for a COVID-19 policy. The role of liberty was more nuanced and depended on the survey's time and whether the government adopted the policy.

Access to health and social protection policies by homeless people during the COVID-19 pandemic: a mixed-methods case study on tailored inter-sector care during a health emergency.

Introduction: The article analyzed homeless people's (HP) access to health and social protection policies and tailored inter-sector care, including emergency measures, during the COVID-19 pandemic in Belo Horizonte (BH), capital of Minas Gerais state, Brazil. It intended to provide data on HP and evaluate existing public policies focused on vulnerable populations during this health emergency. Methods: The study adopted a mixed-methods design with triangulation of quantitative and qualitative data. Results: Social cartography showed that in the early months of the pandemic, the health administration had difficulty reordering the health system, which experienced constant updates in the protocols but was nevertheless consolidated over the months. The evidence collected in the study showed that important emergency interventions in the municipality of BH involved activities that facilitated access by HP to the supply of services. Discussion: The existence of national guidelines for inter-sector care for HP cannot be ruled out as a positive influence, although the municipalities are responsible for their implementation. Significantly, a health emergency was necessary to intensify the relationship between health and social protection services. Roving services were among those with the greatest positive evidence, with the least need for infrastructure to be replicated at the local level. In addition, the temporary supply of various inter-sector services, simultaneously with the provision of day shelters by organized civil society, was considered a key factor for expanding and intensifying networks of care for HP during the emergency phase. A plan exists to continue and expand this model in the future. The study concluded that understanding the inter-sector variables that impact HP contributes to better targeting of investments in interventions that work at the root causes of these issues or that increase the effectiveness of health and social protection systems.

Evaluating public opinions: informing public health policy adaptations in China amid the COVID-19 pandemic.

Public concern regarding safety policies serious consequences is anticipated to persist over an extended duration. A study examining a case of rapid public health policy adaptation in China during the COVID-19 epidemic was conducted by gathering public opinion data from major social media platforms. A systematic approach to comprehend public opinion was developed. Five fundamental elements and four dimensions were delineated. An indicator system was established utilizing the K-means text clustering model. Public prediction, expectation, and their evolution underlying public concern were elucidated employing TF-IDF text mining models. The HMM elucidated the way public opinion influences policy adjustments. The findings underscore that public concern regarding enduring events undergoes temporal shifts, mirroring the evolution of public opinion towards policy. Public opinion aroused by both the original event and derived events collaboratively influence policy adjustments. In China, public opinion serves as a mechanism for policy feedback and oversight; notably, negative public sentiment plays a pivotal role in expediting policy transitions. These findings aid in refining policies to mitigate emergencies through a feedback loop, thereby averting the emergence of safety risks such as social unrest prompted by public opinion.

The Wellbeing of Healthcare Workers during COVID-19 Era in Public Primary Health Facilities in Johannesburg, South Africa.

As the world grappled with the COVID-19 pandemic, healthcare workers (HCWs) continued to provide uninterrupted health care service delivery; therefore, this disproportionately affected their wellbeing. Our study explored the wellbeing of HCWs during the COVID-19 era in public health facilities in the City of Johannesburg, Gauteng province, South Africa. A qualitative study was conducted among twenty (20) HCWs through face-to-face in-depth interviews (IDIs) in the form of semi-structured interviews, audiotapes, and transcribed verbatim, and thematically analyzed with NVivo version 10. The findings showed that over half of HCWs (aged between 27 and 60 years) tested positive for COVID-19. Also, one third of HCWs' family members tested positive while some died due to COVID-19 infection. Informed by the workers' wellbeing framework, four themes emerged with fourteen sub-themes. Firstly, unsafe work environment was characterized by human resource related challenges such as increased workload; staff shortage; insufficient resources, e.g., personal protective equipment (PPE); poor policies in terms of compensation/allowance for being infected with COVID-19; poor health services; and death of colleagues. Secondly, poor health outcomes were described as strained emotional (psychosocial distress) and physical (respiratory related conditions) wellbeing. Thirdly, home and community environments were negatively impacted by interrupted relationships with family and friends, and experiences of deaths of loved ones. Finally, HCWs engaged personal wellbeing strategies through self-motivation; staying positive; family support; and participating in resilience-promoting extra mural activities to cope during the pandemic. In conclusion, the wellbeing of HCWs was aggravated during the COVID-19 era and led to low morale and compromised healthcare quality. This study advocates for promotion of greater resilience, and psychological and physical safety of HCWs through evidence-based, multilevel-multicomponent interventions at the workplace, home, and community environments in addition to strengthening public health policies and response to future pandemics.

Vertical policy coordination of COVID-19 testing in Sweden: an analysis of policy-specific demands and institutional barriers.

PURPOSE: The build-up of large-scale COVID-19 testing required an unprecedented effort of coordination within decentralized healthcare systems around the world. The aim of the study was to elucidate the challenges of vertical policy coordination between non-political actors at the national and regional levels regarding this policy issue, using Sweden as our case. DESIGN/METHODOLOGY/APPROACH: Interviews with key actors at the national and regional levels were analyzed using an adapted version of a conceptualization by Adam et al. (2019), depicting barriers to vertical policy coordination. FINDINGS: Our results show that the main issues in the Swedish context were related to parallel sovereignty and a vagueness regarding responsibilities and mandates as well as complex governmental structures and that this was exacerbated by the unfamiliarity and uncertainty of the policy issue. We conclude that understanding the interaction between the comprehensiveness and complexity of the policy issue and the institutional context is crucial to achieving effective vertical policy coordination. ORIGINALITY/VALUE: Many studies have focused on countries' overall pandemic responses, but in order to improve the outcome of future pandemics, it is also important to learn from more specific response measures.

Revealing the Mysteries of Population Mobility Amid the COVID-19 Pandemic in Canada: Comparative Analysis With Internet of Things-Based Thermostat Data and Google Mobility Insights.

BACKGROUND: The COVID-19 pandemic necessitated public health policies to limit human mobility and curb infection spread. Human mobility, which is often underestimated, plays a pivotal role in health outcomes, impacting both infectious and chronic diseases. Collecting precise mobility data is vital for understanding human behavior and informing public health strategies. Google's GPS-based location tracking, which is compiled in Google Mobility Reports, became the gold standard for monitoring outdoor mobility during the pandemic. However, indoor mobility remains underexplored. OBJECTIVE: This study investigates in-home mobility data from ecobee's smart thermostats in Canada (February 2020 to February 2021) and compares it directly with Google's residential mobility data. By assessing the suitability of smart thermostat data, we aim to shed light on indoor mobility patterns, contributing valuable insights to public health research and strategies. METHODS: Motion sensor data were acquired from the ecobee "Donate Your Data" initiative via Google's BigQuery cloud platform. Concurrently, residential mobility data were sourced from the Google Mobility Report. This study centered on 4 Canadian provinces-Ontario, Quebec, Alberta, and British Columbia-during the period from February 15, 2020, to February 14, 2021. Data processing, analysis, and visualization were conducted on the Microsoft Azure platform using Python (Python Software Foundation) and R programming languages (R Foundation for Statistical Computing). Our investigation involved assessing changes in mobility relative to the baseline in both data sets, with the strength of this relationship assessed using Pearson and Spearman correlation coefficients. We scrutinized daily, weekly, and monthly variations in mobility patterns across the data sets and performed anomaly detection for further insights. RESULTS: The results revealed noteworthy week-to-week and month-to-month shifts in population mobility within the chosen provinces, aligning with pandemic-driven policy adjustments. Notably, the ecobee data exhibited a robust correlation with Google's data set. Examination of Google's daily patterns detected more pronounced mobility fluctuations during weekdays, a trend not mirrored in the ecobee data. Anomaly detection successfully identified substantial mobility deviations coinciding with policy modifications and cultural events. CONCLUSIONS: This study's findings illustrate the substantial influence of the Canadian stay-at-home and work-from-home policies on population mobility. This impact was discernible through both Google's out-of-house residential mobility data and ecobee's in-house smart thermostat data. As such, we deduce that smart thermostats represent a valid tool for facilitating intelligent monitoring of population mobility in response to policy-driven shifts.

Government responses to the COVID-19 pandemic of the Gulf Cooperation Council countries: good practices and lessons for future preparedness.

The COVID-19 pandemic has dramatically threatened the Gulf Cooperation Council (GCC) countries which have a large proportion of foreign workers. The governments of GCC countries have proactively implemented a comprehensive set of policy measures, and up to our knowledge, a systematic analysis of qualitative and quantitative evidence on the government response is still lacking. We summarized the GCC countries' government response and quantitatively measured that response using four indexes-the Government Response Index, the Stringency Index, the Vaccine Index, and the Initial Response Index, to analyse their response for future pandemic preparedness. Overall, the government response of all the GCC countries to the COVID-19 pandemic has been comprehensive, stringent, and timely. Notably, the GCC countries have implemented comprehensive vaccine policies. In addition, they have worked actively to protect foreign workers to improve their access to health services and secure their essential living conditions, regardless of their immigrant status. All the GCC countries dynamically adjusted their response to the evolving COVID-19 epidemiological burden and started to relax the stringency of the control policies after the Omicron wave, though the governments had different response magnitudes as measured by the four indexes. These findings have provided several important lessons for future pandemic response and preparedness for countries with similar economic, demographic, and health contexts in (1) prompt actions of containment and closure policies with dynamic adjusting, (2) strengthening health system policies, (3) comprehensive vaccination policies with universal access, (4) equitable and free access to testing, diagnosis, and treatment for all, and (5) strengthening the resilience of health systems.

Policies for type 2 diabetes and non-communicable disease management during the COVID-19 pandemic in Kenya and Tanzania: a desk review and views of decision-makers.

BACKGROUND: The COVID-19 pandemic caused disruptions in care that adversely affected the management of non-communicable diseases (NCDs) globally. Countries have responded in various ways to support people with NCDs during the pandemic. This study aimed to identify policy gaps, if any, in the management of NCDs, particularly diabetes, during COVID-19 in Kenya and Tanzania to inform recommendations for priority actions for NCD management during any future similar crises. METHODS: We undertook a desk review of pre-existing and newly developed national frameworks, policy models and guidelines for addressing NCDs including type 2 diabetes. This was followed by 13 key informant interviews with stakeholders involved in NCD decision-making: six in Kenya and seven in Tanzania. Thematic analysis was used to analyse the documents. RESULTS: Seventeen guidance documents were identified (Kenya=10; Tanzania=7). These included pre-existing and/or updated policies/strategic plans, guidelines, a letter, a policy brief and a report. Neither country had comprehensive policies/guidelines to ensure continuity of NCD care before the COVID-19 pandemic. However, efforts were made to update pre-existing documents and several more were developed during the pandemic to guide NCD care. Some measures were put in place during the COVID-19 period to ensure continuity of care for patients with NCDs such as longer supply of medicines. Inadequate attention was given to monitoring and evaluation and implementation issues. CONCLUSION: Kenya and Tanzania developed and updated some policies/guidelines to include continuity of care in emergencies. However, there were gaps in the documents and between policy/guideline documents and practice. Health systems need to establish disaster preparedness plans that integrate attention to NCD care to enable them to better handle severe disruptions caused by emergencies such as pandemics. Such guidance needs to include contingency planning to enable adequate resources for NCD care and must also address evaluation of implementation effectiveness.

COMOKIT v2: A multi-scale approach to modeling and simulating epidemic control policies.

The COVID-19 crisis demonstrated the importance of using models to understand, predict, and manage epidemics, in particular by assessing in advance the effect of different intervention policies. Numerous models have been proposed to answer a wide range of questions, from the impact of open borders to the effectiveness of neighborhood containment to the role of building ventilation in virus dispersion. However, the vast majority of these models are only suited to a scale of representation, analysis, or experimentation. In this article, we present the latest version of the COMOKIT toolbox, which is based on the integration of 3 models (COMOKIT-micro, COMOKIT-meso, and COMOKIT-macro) enabling these questions to be addressed at different geographical scales of analysis and exploration, from the building scale to the scale of entire countries. An application of these 3 models to various questions concerning public health policies against COVID-19 is presented and discussed.

Health emergencies, science contrarianism and populism: A scoping review.

Populism has emerged as a central explanation employed by both media outlets and scholars for the mishandling of the COVID-19 crisis. Nonetheless, the relationship between public health and populism extends before and beyond the pandemic. This paper offers a comprehensive overview of existing evidence and theoretical conceptualisations on the intersection of populism, health emergencies, and contrarian scientific positions, drawing from a diverse range of disciplines. I conducted a scoping review of 283 original studies, analysing their analytical framework, geographic focuses, and methodological approaches. Employing quantitative text analysis, I summarised the research field into 18 common topics, organised into five coherent categories: citizen's perspective, political elites, political communication, pandemic consequences, and non-COVID-related issues. While the scholarly interest in this area has surged since the onset of the pandemic, it has predominantly concentrated on specific cases, such as Brazil and the US, often conflating different policy types. The evidence summary elucidates that populism assumes varying roles within distinct contexts, and there is no linear relationship between political populism and specific approaches to health crises and science. I further compare definitions of populism within the context of health and scientific positions. I propose that future research should employ a policy typology for health emergency responses, assessing political positions based on policy arenas. This paper contributes to the understanding of the complex interplay between political populism, contrarian scientific perspectives, and public health.