Excess mortality in Europe coincides with peaks of COVID-19, influenza and respiratory syncytial virus (RSV), November 2023 to February 2024.

Since the end of November 2023, the European Mortality Monitoring Network (EuroMOMO) has observed excess mortality in Europe. During weeks 48 2023-6 2024, preliminary results show a substantially increased rate of 95.3 (95% CI:  91.7-98.9) excess all-cause deaths per 100,000 person-years for all ages. This excess mortality is seen in adults aged 45 years and older, and coincides with widespread presence of COVID-19, influenza and respiratory syncytial virus (RSV) observed in many European countries during the 2023/24 winter season.

The epidemiology of CHD in Malta.

BACKGROUND: CHD refers to structural cardiac abnormalities which comprise the commonest group of congenital malformations. Malta is a small island in the central Mediterranean with excellent diagnostic and therapeutic facilities. It is unique in the European population as termination of pregnancy is illegal. This study was carried out to ascertain patterns in CHD prevalence in comparison with EUROCAT data (European Surveillance of Congenital Anomalies). METHODS: Anonymised data were obtained from the EUROCAT website for 1993-2020. RESULTS: There were a total of 22,833,032 births from all EUROCAT Registries, of which 121,697 were from Malta. The prevalence rate for Malta CHD was 32.38/10,000 births (at the higher end of the range). Malta had a significant excess of commoner, comparatively non-severe CHDs. For most of the severe lesions analysed rates reported were higher than EUROCAT average, however, apart from Ebstein's anomaly, they all fell within the ranges reported from the different registries. DISCUSSION: Wide variations in reported CHD prevalence are known, and the Malta rates may be higher for milder defects due to quicker pickup prior to spontaneous resolution. There may also be a higher pickup of milder forms of more severe conditions. For the more severe conditions, lack of termination may be the explanation. These factors may result in the higher neonatal mortality observed in Malta.

A descriptive study of COVID-19 cases in primary and secondary schools in the Maltese islands: a nationwide experience.

BACKGROUND: As part of the measures to contain the initial cases of Coronavirus Disease (COVID-19) in 2020, all educational facilities were closed in March 2020 and remained so for the remainder of that scholastic year. When they reopened in October 2020, most educational facilities on the Maltese islands did so with various mitigation measures in place. METHODS: A Schools Contact Tracing Team (SCTT) dedicated to the management of COVID-19 cases within schools was set up and networks established between the Ministries responsible for Health and Education to facilitate timely communication and, consequently, effective contact tracing. All cases pertaining to educational facilities, be they students, teaching or non-teaching staff were assessed and managed by this Team. RESULTS: Between October 2020 and June 2021, the SCTT assessed 2603 COVID-19 cases within educational facilities in Malta. The highest rate of cases overall was observed in teaching staff (56.53/1000). In 72.45% of cases, no contacts were identified as high risk and thus nobody was placed in quarantine. In 3.07% of school cases >21 high-risk contacts were placed in mandatory quarantine together with their household members. Only 11% of the cases were epi-linked to another positive case within school. CONCLUSIONS: The strong collaboration between the health and education authorities combined with strict measures observed in schools ensured that schools remained open throughout most of this pandemic. This study describes the processes by which contact tracing for COVID-19 cases in Maltese schools was carried out and analyses the data collected throughout the scholastic year 2020-21.

Estimating the direct Covid-19 disability-adjusted life years impact on the Malta population for the first full year.

BACKGROUND: Disability-adjusted life years (DALYs) combine the impact of morbidity and mortality, allowing for comprehensive comparisons of the population. The aim was to estimate the DALYs due to Covid-19 in Malta (March 2020-21) and investigate its impact in relation to other causes of disease at a population level. METHODS: Mortality and weekly hospital admission data were used to calculate DALYs, based on the European Burden of Disease Network consensus Covid-19 model. Covid-19 infection duration of 14 days was considered. Sensitivity analyses for different morbidity scenarios, including post-acute consequences were presented. RESULTS: An estimated 70,421 people were infected (with and without symptoms) by Covid-19 in Malta (March 2020-1), out of which 1636 required hospitalisation and 331 deaths, contributing to 5478 DALYs. These DALYs positioned Covid-19 as the fourth leading cause of disease in Malta. Mortality contributed to 95% of DALYs, while post-acute consequences contributed to 60% of morbidity. CONCLUSIONS: Covid-19 over 1 year has impacted substantially the population health in Malta. Post-acute consequences are the leading morbidity factors that require urgent targeted action to ensure timely multidisciplinary care. It is recommended that DALY estimations in 2021 and beyond are calculated to assess the impact of vaccine roll-out and emergence of new variants.

Early warning indicators of COVID-19 burden for a prosilient European pandemic response.

BACKGROUND: The European Union has been criticized for responding to the COVID-19 pandemic in a reactive, rather than prosilient manner. For the EU bloc to be prosilient, it needs to have the right early warning indicators to allow short-term healthcare system preparedness and agile planning of the public health response. METHOD: The association of COVID-19 disease burden, as measured by mortality (COVID-19 and all-cause), hospital and ICU occupancy, with incidence rate (IR), total positivity rate (TPR) and adjusted TPR as proposed by Vong and Kakkar, was investigated using Poisson regression analysis. This was carried out using both real-time data and time lags of up to 8 weeks to identify potential for early warning of spikes in disease burden. ECDC weekly figures for these indicators were used, and the analysis was repeated for the subset of data after Week 42 of 2020, when the EU Council introduced minimum COVID-19 testing rates. RESULTS: TPR and IR were noted to be the most predictive of COVID-19 disease burden whilst adjusted TPR applied on weekly data was not associated. TPR behaved better at predicting all-cause mortality in both analyses. The TPR and IR were both best associated with hospital and ICU occupancy and COVID-19 mortality with a short time lag (2-3 weeks in the case of TPR with hospital occupancy and COVID-19 mortality). CONCLUSIONS: Monitoring TPR can provide a 2-3-week warning of a spike in hospital occupancy and COVID-19 mortality. This time, if well utilized, could help health systems save countless lives by mobilising resources.

Real-time monitoring shows substantial excess all-cause mortality during second wave of COVID-19 in Europe, October to December 2020.

The European monitoring of excess mortality for public health action (EuroMOMO) network monitors weekly excess all-cause mortality in 27 European countries or subnational areas. During the first wave of the coronavirus disease (COVID-19) pandemic in Europe in spring 2020, several countries experienced extraordinarily high levels of excess mortality. Europe is currently seeing another upsurge in COVID-19 cases, and EuroMOMO is again witnessing a substantial excess all-cause mortality attributable to COVID-19.

Variations in use of childbirth interventions in 13 high-income countries: A multinational cross-sectional study.

BACKGROUND: Variations in intervention rates, without subsequent reductions in adverse outcomes, can indicate overuse. We studied variations in and associations between commonly used childbirth interventions and adverse outcomes, adjusted for population characteristics. METHODS AND FINDINGS: In this multinational cross-sectional study, existing data on 4,729,307 singleton births at ≥37 weeks in 2013 from Finland, Sweden, Norway, Denmark, Iceland, Ireland, England, the Netherlands, Belgium, Germany (Hesse), Malta, the United States, and Chile were used to describe variations in childbirth interventions and outcomes. Numbers of births ranged from 3,987 for Iceland to 3,500,397 for the USA. Crude data were analysed in the Netherlands, or analysed data were shared with the principal investigator. Strict variable definitions were used and information on data quality was collected. Intervention rates were described for each country and stratified by parity. Uni- and multivariable analyses were performed, adjusted for population characteristics, and associations between rates of interventions, population characteristics, and outcomes were assessed using Spearman's rank correlation coefficients. Considerable intercountry variations were found for all interventions, despite adjustments for population characteristics. Adjustments for ethnicity and body mass index changed odds ratios for augmentation of labour and episiotomy. Largest variations were found for augmentation of labour, pain relief, episiotomy, instrumental birth, and cesarean section (CS). Percentages of births at ≥42 weeks varied from 0.1% to 6.7%. Rates among nulliparous versus multiparous women varied from 56% to 80% versus 51% to 82% for spontaneous onset of labour; 14% to 36% versus 8% to 28% for induction of labour; 3% to 13% versus 7% to 26% for prelabour CS; 16% to 48% versus 12% to 50% for overall CS; 22% to 71% versus 7% to 38% for augmentation of labour; 50% to 93% versus 25% to 86% for any intrapartum pain relief, 19% to 83% versus 10% to 64% for epidural anaesthesia; 6% to 68% versus 2% to 30% for episiotomy in vaginal births; 3% to 30% versus 1% to 7% for instrumental vaginal births; and 42% to 70% versus 50% to 84% for spontaneous vaginal births. Countries with higher rates of births at ≥42 weeks had higher rates of births with a spontaneous onset (rho = 0.82 for nulliparous/rho = 0.83 for multiparous women) and instrumental (rho = 0.67) and spontaneous (rho = 0.66) vaginal births among multiparous women and lower rates of induction of labour (rho = -0.71/-0.66), prelabour CS (rho = -0.61/-0.65), overall CS (rho = -0.61/-0.67), and episiotomy (multiparous: rho = -0.67). Variation in CS rates was mainly due to prelabour CS (rho = 0.96). Countries with higher rates of births with a spontaneous onset had lower rates of emergency CS (nulliparous: rho = -0.62) and higher rates of spontaneous vaginal births (multiparous: rho = 0.70). Prelabour and emergency CS were positively correlated (nulliparous: rho = 0.74). Higher rates of obstetric anal sphincter injury following vaginal birth were found in countries with higher rates of spontaneous birth (nulliparous: rho = 0.65). In countries with higher rates of epidural anaesthesia (nulliparous) and spontaneous births (multiparous), higher rates of Apgar score < 7 were found (rhos = 0.64). No statistically significant variation was found for perinatal mortality. Main limitations were varying quality of data and missing information. CONCLUSIONS: Considerable intercountry variations were found for all interventions, even after adjusting for population characteristics, indicating overuse of interventions in some countries. Multivariable analyses are essential when comparing intercountry rates. Implementation of evidence-based guidelines is crucial in optimising intervention use and improving quality of maternity care worldwide.

Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation.

BACKGROUND: An infodemic is an overabundance of information-some accurate and some not-that occurs during an epidemic. In a similar manner to an epidemic, it spreads between humans via digital and physical information systems. It makes it hard for people to find trustworthy sources and reliable guidance when they need it. OBJECTIVE: A World Health Organization (WHO) technical consultation on responding to the infodemic related to the coronavirus disease (COVID-19) pandemic was held, entirely online, to crowdsource suggested actions for a framework for infodemic management. METHODS: A group of policy makers, public health professionals, researchers, students, and other concerned stakeholders was joined by representatives of the media, social media platforms, various private sector organizations, and civil society to suggest and discuss actions for all parts of society, and multiple related professional and scientific disciplines, methods, and technologies. A total of 594 ideas for actions were crowdsourced online during the discussions and consolidated into suggestions for an infodemic management framework. RESULTS: The analysis team distilled the suggestions into a set of 50 proposed actions for a framework for managing infodemics in health emergencies. The consultation revealed six policy implications to consider. First, interventions and messages must be based on science and evidence, and must reach citizens and enable them to make informed decisions on how to protect themselves and their communities in a health emergency. Second, knowledge should be translated into actionable behavior-change messages, presented in ways that are understood by and accessible to all individuals in all parts of all societies. Third, governments should reach out to key communities to ensure their concerns and information needs are understood, tailoring advice and messages to address the audiences they represent. Fourth, to strengthen the analysis and amplification of information impact, strategic partnerships should be formed across all sectors, including but not limited to the social media and technology sectors, academia, and civil society. Fifth, health authorities should ensure that these actions are informed by reliable information that helps them understand the circulating narratives and changes in the flow of information, questions, and misinformation in communities. Sixth, following experiences to date in responding to the COVID-19 infodemic and the lessons from other disease outbreaks, infodemic management approaches should be further developed to support preparedness and response, and to inform risk mitigation, and be enhanced through data science and sociobehavioral and other research. CONCLUSIONS: The first version of this framework proposes five action areas in which WHO Member States and actors within society can apply, according to their mandate, an infodemic management approach adapted to national contexts and practices. Responses to the COVID-19 pandemic and the related infodemic require swift, regular, systematic, and coordinated action from multiple sectors of society and government. It remains crucial that we promote trusted information and fight misinformation, thereby helping save lives.

Urban-suburban differences in the demographics and clinical profiles of type 2 diabetic patients attending primary healthcare centres in Malta.

INTRODUCTION: Social factors might bring about health inequities. Vulnerable population groups, including those suffering from non-communicable diseases such as type 2 diabetes and depression, might be more prone to suffering the effects of such inequities. This study aimed to identify patients with type 2 diabetes with depression in a primary care setting, with the objective of describing health inequities among urban and suburban dwellers. METHODS: A quantitative, retrospective and descriptive study was carried out among patients with diabetes attending public primary healthcare centres in different regions of Malta. Participants completed a self-administered questionnaire to identify patient and disease characteristics. Convenience sampling was used. RESULTS: The logistic regression model predicting the likelihood of different factors occurring with suburban patients with diabetes as opposed to those residing in urban areas contained five independent variables (severity of depression, monthly income, blood capillary glucose readings, weight and nationality). The full model containing all predictors was statistically significant, c2 (5, n=400), p<0.001, indicating that the model was able to distinguish between urban and suburban areas. The model as a whole explained between 10% (Cox and Snell R2) and 20% (Nagelkerke R2) of the variance in urban and suburban areas, and correctly classified 73.8% of cases. All five of the independent variables made a unique, statistically significant contribution to the model. Elevated blood glucose and obesity tended to be more prevalent in suburban respondents than in urban participants. Conversely, participants with diabetes living in urban areas were more likely to be depressed, non-Maltese and have a higher income. CONCLUSION: Despite the small size of the Maltese islands and the expected social homogeneity, health inequities still exist, highlighting the importance of social factors in the epidemiology of disease. This study provides information for healthcare professionals and policy-makers to mitigate the effects of social inequities on vulnerable population groups.

The Malta Childhood National Body Mass Index Study: A Population Study.

OBJECTIVES: Obesity is a chronic disease that often commences in childhood. More than a quarter of Maltese children are overweight or obese. The present study was carried out to measure height and weight (and body mass index) for all school children in Malta to precisely quantify the extent of the problem. METHODS: Schooling in Malta is provided by: free state schools, subsidized Roman Catholic church-run schools, and independent private schools. All were included. Physical education teachers were trained in measurements on identical stadiometers. Bespoke spreadsheets were created using World Health Organization cut-offs for underweight, overweight, and obesity. RESULTS: The present study included more than 46,027 children in more than 145 schools (ages 4.7-17 years). Less than 10% were unmeasured. Approximately 40% of school-aged children in Malta are overweight or obese. The proportion of obese was greater than that of overweight. Levels of overweight and obesity were significantly different: State>Church>Independent schools. Overall, and for both sexes and for school types, there was a trend for overweight and obesity to peak in years 5 to 8, then decline slightly. Overweight and obesity was secondary>primary schools, and boys>girls. The underweight group was small with no significant difference between the school types. CONCLUSIONS: The present study has confirmed high levels of overweight and obesity in Maltese children. It also provides proof of concept of scalability by demonstrating the feasibility of undertaking a relatively inexpensive study of an entire childhood population. The modus operandi (utilizing physical education teachers) could relatively easily be up scaled for any country.

Prognostic indicators and generation of novel risk equations for estimation of 10-year and 20-year mortality following acute coronary syndrome.

OBJECTIVES: Although risk assessment is an integral part of management, there are currently no risk calculators of long-term mortality after acute coronary syndrome (ACS). The aim was to provide risk equations for 10-year and 20-year mortality following ACS. METHODS: Patients hospitalised with ACS from December 1990 to June 1994 were recruited and followed up through 31 December 2012. RESULTS: The study followed 881 patients for 10 years and 712 patients for 20 years. Using Cox regression analysis, 20-year all-cause mortality was associated with myocardial infarction (MI) in the index admission, age and diabetes mellitus (DM). Twenty-year cardiovascular disease (CVD) and cardiac mortality were both associated with MI in the index admission, age, DM and female gender. 10-year all-cause mortality was associated with age and total cholesterol levels; age, DM and total cholesterol levels were found to be independent predictors of 10-year CVD and cardiac mortality. Risk equations were consequently generated for 10-year and 20-year cardiac, cardiovascular and all-cause mortality, with age and DM emerging as the strongest and most consistent predictors of all outcomes studied. CONCLUSIONS: Novel risk equations for all-cause, cardiovascular and cardiac mortality at 10 and 20 years were generated using follow-up data in a large patient population.

Excess all-cause and influenza-attributable mortality in Europe, December 2016 to February 2017.

Since December 2016, excess all-cause mortality was observed in many European countries, especially among people aged ≥ 65 years. We estimated all-cause and influenza-attributable mortality in 19 European countries/regions. Excess mortality was primarily explained by circulation of influenza virus A(H3N2). Cold weather snaps contributed in some countries. The pattern was similar to the last major influenza A(H3N2) season in 2014/15 in Europe, although starting earlier in line with the early influenza season start.

Contribution of Congenital Anomalies to Neonatal Mortality Rates in Malta.

BACKGROUND: Neonatal mortality is a public health concern, and congenital anomalies contribute significantly to this mortality. This paper describes trends in neonatal mortality in Malta separately for congenital anomaly and non-congenital anomaly causes. METHODS: Data for neonatal deaths of 22-week gestation onwards registered between 1994-2013 were obtained from the National Mortality Register. Chi-square tests were used to analyse 5-year time trends and differences in proportions of causes of neonatal deaths. Neonatal mortality was compared with other European countries. RESULTS: Between 1994 and 2013, 441 neonatal deaths and 84 821 livebirths were registered, giving a neonatal mortality of 5.2 per 1000 livebirths. Congenital anomalies accounted for 36.7% (n = 162) of the neonatal deaths, while the remaining 63.3% (n = 279) were attributed to non-congenital causes. During the 20-year period, neonatal mortality due to non-congenital causes decreased from 4.6 per 1000 livebirths in 1994-98 to 2.5 per 1000 in 2009-13, while that due to congenital anomalies remained stable (2.0 per 1000 livebirths in 1994-98 and 2.2 per 1000 in 2009-13). This has resulted in comparatively higher proportions of neonatal deaths attributed to congenital anomalies in recent years (45.9% in 2009-13 vs. 29.9% in 1994-98). Comparing neonatal mortality reported from European countries, Malta has a high rate most marked for deaths due to congenital anomalies. CONCLUSIONS: During 1994-2013, neonatal mortality has decreased due to a decline of non-congenital causes of death, possibly related to improved health care. The proportionate neonatal mortality attributed to congenital anomalies has increased and is the highest reported from Europe. This may be explained by the fact that termination of pregnancy is illegal in Malta.

Comparison of patients' experiences in public and private primary care clinics in Malta.

Demographic changes, technological developments and rising expectations require the analysis of public-private primary care (PC) service provision to inform policy makers. We conducted a descriptive, cross-sectional study using the dataset of the Maltese arm of the QUALICOPC Project to compare the PC patients' experiences provided by public-funded and private (independent) general practitioners in Malta. Seven hundred patients from 70 clinics completed a self-administered questionnaire. Direct logistic regression showed that patients visiting the private sector experienced better continuity of care with more difficulty in accessing out-of-hours care. Such findings help to improve (primary) healthcare service provision and resource allocation.

Longer hospital stay, more complications, and increased mortality but substantially improved function after knee replacement in older patients.

BACKGROUND AND PURPOSE: Total knee replacement (TKR) is being increasingly performed in elderly patients, yet there is little information on specific requirements and complication rates encountered by this group. We assessed whether elderly patients undergoing TKR had different length of stay, requirements, complication rates, and functional outcomes compared to younger counterparts. PATIENTS AND METHODS: We analyzed prospectively gathered data on 3,144 consecutive primary TKRs (in 2,092 patients aged less than 75 years, 694 patients aged between 75 and 80 years, and 358 patients aged over 80 years at the time of surgery). RESULTS: Incidence of blood transfusion, urinary catheterization, postoperative confusion, cardiac arrhythmia, and 1-year mortality increased with age, even after adjusting for confounding factors, whereas the incidences of chest infection and mortality at 1 month were highest in those aged 75-80. Rates of thromboembolism, prosthetic infection, and revision were similar in the 3 age groups. All groups showed similar substantial improvements in American Knee Society (AKS) knee scores, which were maintained at 5 years. Older patients had smaller improvements in AKS function score, which deteriorated between 3 and 5 years postoperatively, in contrast to the younger group. INTERPRETATION: Elderly people stand to gain considerably from TKR, particularly in terms of pain relief, and they should not be denied surgery based solely on age. However, they should be warned that they can expect a longer length of stay, a higher requirement for blood transfusion and/or urinary catheterization, and more medical complications postoperatively. Mortality was also higher in the older age groups. The risks have been quantified to assist in perioperative counselling, informed consent, and healthcare planning.

Addressing childhood obesity through policy: A cross-sectional study in Malta.

Introduction: Childhood overweight and obesity are major public health challenges, with Malta having one of the highest prevalences among European countries. The COVID-19 pandemic may further worsen this epidemic. The food and physical activity environments impact children's behaviours. This study looks at barriers to maintain a healthy weight, responsibility to address obesity, and assesses parental support for 22 policies aimed at addressing childhood obesity. Public support for policy is key because it influences which policies are adopted and their success. Methods: A cross-sectional, paper-based, quantitative survey was conducted amongst parents of primary school-aged children in Malta in 2018-2019. Ethical approval was obtained. Statistical analysis was performed using SPSS. Results: 1,169 parents participated. The food environment was more commonly identified as a barrier to maintain a healthy weight than the physical activity environment. Parents were least supportive of taxation policies, and most in favour of increasing spaces available for safe physical activity (94.0%), followed by providing free weight management services for children (90.8%). The level of support varied significantly by various socio-demographic/economic characteristics; parents with a higher educational level were significantly more supportive of most policies. Most findings were consistent with the international literature. Conclusions: Most policies supported are trans-sectoral; a health-in-all policies approach is needed to address the obesogenic environment. The strong public support identified for several policies should embolden policymakers to consider policy options that were not previously considered.

Cancer of the Cervix in Bulgaria: Epidemiology of a Crisis.

Eastern Europe continues to have the highest rates of cancer of the uterine cervix (CUC) and human papillomavirus (HPV) infection in Europe. AIM: The aim of this study was to investigate CUC trends in Bulgaria in the context of a lack of a population-based screening program and a demographic crisis. METHODOLOGY: This was a retrospective study of 7861 CUC patients who were registered in the Bulgarian National Cancer Registry (BNCR) between 2013 and 2020 and followed up with until March 2022. We used descriptive statistics and modeling to assess temporal trends in new CUC incidence rates and identify factors associated with survival. RESULTS: Bulgaria's population has decreased by 11.5% between 2011 and 2021. The CUC incidence rate decreased from 29.5/100,000 in 2013 to 23.2/100,000 in 2020 but remains very high. The proportion of patients diagnosed in earlier stages of CUC has decreased over time. Up to 19% of patients with CUC in Bulgaria are diagnosed between the age of 35 and 44 years. The median survival was 101.5 months, with some improvement in later years (adjusted HR = 0.83 for 2017-2020). CONCLUSIONS: In countries with well-established population-based screening, CUC is nowadays considered a rare disease. However, it is not considered rare in Bulgaria. Population-based screening starting at an earlier age is the fastest way to improve outcomes.

Hybrid immunity and protection against infection during the Omicron wave in Malta.

By December 2021, administration of the third dose of COVID-19 vaccinations coincided with the spread of the Omicron variant in Europe. Questions had been raised on protection against infection conferred by previous vaccination and/or infection. Our study population included 252,433 participants from the COVID-19 vaccination registry in Malta. Data were then matched with the national testing database. We collected vaccination status, vaccine brand, vaccination date, infection history, and age. Using logistic regression, we examined different combinations of vaccine dose, prior infection status and time, and the odds of infection during the period when the Omicron variant was the dominant variant in Malta. Participants infected with Sars-Cov-2 prior to the Omicron wave had a significantly lower odds of being infected with the Omicron variant. Additionally, the more recent the infection and the more recent the vaccination, the lower the odds of infection. Receiving a third dose within 20 weeks of the start of the Omicron wave in Malta offered similar odds of infection as receiving a second dose within the same period. Time since vaccination was a strong determinant against infection, as was previous infection status and the number of doses taken. This finding reinforces the importance of future booster dose provision especially to vulnerable populations.

Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference.

Background: An infodemic is excess information, including false or misleading information, that spreads in digital and physical environments during a public health emergency. The COVID-19 pandemic has been accompanied by an unprecedented global infodemic that has led to confusion about the benefits of medical and public health interventions, with substantial impact on risk-taking and health-seeking behaviors, eroding trust in health authorities and compromising the effectiveness of public health responses and policies. Standardized measures are needed to quantify the harmful impacts of the infodemic in a systematic and methodologically robust manner, as well as harmonizing highly divergent approaches currently explored for this purpose. This can serve as a foundation for a systematic, evidence-based approach to monitoring, identifying, and mitigating future infodemic harms in emergency preparedness and prevention. Objective: In this paper, we summarize the Fifth World Health Organization (WHO) Infodemic Management Conference structure, proceedings, outcomes, and proposed actions seeking to identify the interdisciplinary approaches and frameworks needed to enable the measurement of the burden of infodemics. Methods: An iterative human-centered design (HCD) approach and concept mapping were used to facilitate focused discussions and allow for the generation of actionable outcomes and recommendations. The discussions included 86 participants representing diverse scientific disciplines and health authorities from 28 countries across all WHO regions, along with observers from civil society and global public health-implementing partners. A thematic map capturing the concepts matching the key contributing factors to the public health burden of infodemics was used throughout the conference to frame and contextualize discussions. Five key areas for immediate action were identified. Results: The 5 key areas for the development of metrics to assess the burden of infodemics and associated interventions included (1) developing standardized definitions and ensuring the adoption thereof; (2) improving the map of concepts influencing the burden of infodemics; (3) conducting a review of evidence, tools, and data sources; (4) setting up a technical working group; and (5) addressing immediate priorities for postpandemic recovery and resilience building. The summary report consolidated group input toward a common vocabulary with standardized terms, concepts, study designs, measures, and tools to estimate the burden of infodemics and the effectiveness of infodemic management interventions. Conclusions: Standardizing measurement is the basis for documenting the burden of infodemics on health systems and population health during emergencies. Investment is needed into the development of practical, affordable, evidence-based, and systematic methods that are legally and ethically balanced for monitoring infodemics; generating diagnostics, infodemic insights, and recommendations; and developing interventions, action-oriented guidance, policies, support options, mechanisms, and tools for infodemic managers and emergency program managers.

Joint effect of heat and air pollution on mortality in 620 cities of 36 countries.

BACKGROUND: The epidemiological evidence on the interaction between heat and ambient air pollution on mortality is still inconsistent. OBJECTIVES: To investigate the interaction between heat and ambient air pollution on daily mortality in a large dataset of 620 cities from 36 countries. METHODS: We used daily data on all-cause mortality, air temperature, particulate matter ≤ 10 µm (PM10), PM ≤ 2.5 µm (PM2.5), nitrogen dioxide (NO2), and ozone (O3) from 620 cities in 36 countries in the period 1995-2020. We restricted the analysis to the six consecutive warmest months in each city. City-specific data were analysed with over-dispersed Poisson regression models, followed by a multilevel random-effects meta-analysis. The joint association between air temperature and air pollutants was modelled with product terms between non-linear functions for air temperature and linear functions for air pollutants. RESULTS: We analyzed 22,630,598 deaths. An increase in mean temperature from the 75th to the 99th percentile of city-specific distributions was associated with an average 8.9 % (95 % confidence interval: 7.1 %, 10.7 %) mortality increment, ranging between 5.3 % (3.8 %, 6.9 %) and 12.8 % (8.7 %, 17.0 %), when daily PM10 was equal to 10 or 90 µg/m3, respectively. Corresponding estimates when daily O3 concentrations were 40 or 160 µg/m3 were 2.9 % (1.1 %, 4.7 %) and 12.5 % (6.9 %, 18.5 %), respectively. Similarly, a 10 µg/m3 increment in PM10 was associated with a 0.54 % (0.10 %, 0.98 %) and 1.21 % (0.69 %, 1.72 %) increase in mortality when daily air temperature was set to the 1st and 99th city-specific percentiles, respectively. Corresponding mortality estimate for O3 across these temperature percentiles were 0.00 % (-0.44 %, 0.44 %) and 0.53 % (0.38 %, 0.68 %). Similar effect modification results, although slightly weaker, were found for PM2.5 and NO2. CONCLUSIONS: Suggestive evidence of effect modification between air temperature and air pollutants on mortality during the warm period was found in a global dataset of 620 cities.