COVID-19 Crisis in Brazil: Post-Vaccination Seroprevalence and Infection in More and Less Vaccinated Municipalities in a Northeastern State.

BACKGROUND: Given the impact of the pandemic in Brazil, vaccination is essential to prevent illness and death. Thus, this study sought to compare, after vaccination, the circulation of SARS-CoV-2 and the response to vaccination in the least and most vaccinated municipalities of a Brazilian state during the height of the pandemic when the Omicron variant was dominant. METHODS: We tested for the SARS-CoV-2 antigen and confirmed infection using an RT-qPCR and measured IgM and IgG antibodies in fully vaccinated participants from municipalities with higher and lower vaccination rates. RESULTS: We showed that participants from the least vaccinated municipalities were more likely to have detectable IgM antibodies and a positive antigen/RT-qPCR result for SARS-CoV-2 than participants from the most vaccinated municipalities. There were no differences between the vaccines used (BNT162b2, Ad26.COV2.S, AZD1222, and CoronaVac) and antibody production. CONCLUSIONS: Our study evaluated municipal vaccination coverage and its effects on mortality, infections, and anti-SARS-CoV-2 antibodies during a critical phase of the pandemic. The results suggest that higher vaccination coverage reduces acute cases and confers higher memory antibody levels against SARS-CoV-2. Even with a full vaccination schedule, individuals living in places with low vaccination rates are more susceptible to infection.

[Questionnaire survey of municipalities on policies to promote physical activity among residents: An examination by administrative sector and population size].

Objectives　National policies to promote physical activity and exercise have been formulated by several ministries and agencies in Japan. This study aimed to examine the formulation and implementation of such policies in municipalities by administrative sector and population size.Methods　After stratifying all municipalities in Japan at the population level, we randomly selected 272 municipalities. We collected 1,632 cases in six sectors (health, sports, education, urban planning, transportation, and environment) within these municipalities.　A questionnaire survey on the status of policy formulation, implementation, and coordination among departments was conducted as a cross-sectional study. Differences between groups of municipalities were statistically analyzed using Fisher's exact test. The survey period was from September 2018 to March 2019.Results　A total of 616 responses were collected (response rate 37.7%). The response rates for health and education were lower than those for the other sectors. The rate of policy formulation to promote physical activity was extremely high in the health and sports sectors, and there was slight variation by population size. In contrast, formulation rates were generally low in the urban planning, transportation, and environment sectors, especially in smaller municipalities. In the sectors mentioned above, physical activity promotion projects mainly involved the development of exercise and sports infrastructures. Health, sports, and education were the primary sectors that used those environments. Regarding interdepartmental coordination in policy implementation, a cooperative relationship existed among the health, sports, and education sectors and between the urban planning and transportation sectors. However, smaller municipalities were found to have fewer opportunities for such collaboration and tended to implement policies independently.Conclusion　This study clarifies the policy formulation and implementation for promoting physical activity in municipalities at the national level in Japan. In addition, their characteristics were identified based on different administrative sectors and population size. These results are expected to be used in future local government policies.

Spatial association of homicide rate with violence, sociodemographic, and public security factors: global burden of disease study 2018 for municipalities in Brazil.

OBJECTIVES: To analyse spatial-temporal changes and spatial association of homicide rates with violence, sociodemographic, public security and human rights indicators in Brazilian municipalities. STUDY DESIGN: An ecological study using homicide estimates from the Global Burden of Disease and population from the Brazilian Ministry of Health, 2000 to 2018. The explanatory variables come from the systems of mortality, notifications of violence and security, and the Brazilian Institute of Geography and Statistics. METHODS: Moran indices and maps identified clusters of high and low risk for homicides in three trienniums (p < 0.05). Multivariate linear and spatial regressions estimated explanatory factors' contributions for the last triennium. RESULTS: Municipalities with high rates of homicides (>34/100,000) doubled, reaching 21.5 %. Those rates were concentrated in big cities, and increased in smaller municipalities. Increases in critical areas were found in the Northeast and North regions: more than 40 % in the states of Sergipe, Bahia, Ceará, Rio Grande do Norte and Roraima. Decreases occurred in the Southeast and Midwest regions: more than 35 % in São Paulo and Rio de Janeiro states. The spatial model, with an 18.9 % higher R2 (0.706), showed a positive association for records of violence, Blacks, low-level education, municipalities >50,000 inhabitants and municipalities with homicide and municipal police. CONCLUSIONS: An increase in and the interiorisation of homicide risk areas in Brazil was observed, with displacement among regions (from the Southeast to the North/Northeast). The level of violence was the main explanatory factor for homicides. Territorial space proved to be important to understand and prevent lethal crime.

Effect of COVID-19 mortality on life expectancy in municipalities of Mexico. Comparison between 2019 and 2020.

BACKGROUND: Life expectancy (LE) is an indicator related to medical, demographic, social and geographic conditions. OBJECTIVES: To analyze the effect of the COVID-19 pandemic on LE and of its distribution according to sociodemographic variables in municipalities of Mexico. METHODS: Information on mortality was collected from data published by the Ministry of Health, and demographic information, from the 2020 Population and Housing Census. LE was calculated according to the standard actuarial method. A risk analysis was carried out between expected years of life lost and the size of the economically active population, years of education and indigenous-speaking population. RESULTS: In 2020, there was a nation-wide average drop of 4.7 years in LE, but its distribution was heterogeneous at the municipal level, with extreme values of -2.8 years and 12.6 years. The risk analysis showed an inverse relationship between sociodemographic variables and expected years of life lost, except for the indigenous-speaking population. CONCLUSIONS: The impact of the COVID-19 pandemic on LE in Mexico was significant and was influenced by the analyzed sociodemographic variables, particularly by the municipalities' population size.

ANTECEDENTES: La esperanza de vida es un indicador relacionado con condiciones médicas, demográficas, sociales y geográficas. OBJETIVOS: Analizar el efecto de la pandemia de COVID-19 en la esperanza de vida y de su distribución según variables sociodemográficas en municipios de México. MATERIAL Y MÉTODOS: Se recabó información sobre mortalidad de la Secretaría de Salud, así como información demográfica del Censo de Población y Vivienda de 2020. La esperanza de vida se calculó conforme el método actuarial estándar. Se realizó análisis de riesgo entre la pérdida de la esperanza de vida en años y el tamaño de la población, población económicamente activa, años de escolaridad y población de habla indígena. RESULTADOS: En 2020 se registró una caída promedio de 4.7 años en la esperanza de vida a nivel nacional, pero su distribución fue heterogénea en los municipios, con valores extremos de −2.8 años y 12.6 años. El análisis de riesgo mostró una relación inversa entre las variables sociodemográficas y la pérdida de años de esperanza de vida, con excepción de la población de habla indígena. CONCLUSIONES: El impacto de la pandemia de COVID-19 en la esperanza de vida en México fue significativo, matizado por las variables sociodemográficas analizadas, particularmente por el tamaño de la población de los municipios.

Índice de riesgo de obesidad infantil (IROBIC) para áreas administrativas pequeñas en Chile / Childhood obesity risk index (IROBIC) for small administrative areas in Chile

Introducción: a pesar de la alta prevalencia de la obesidad infantil (OI) globalmente, no existen índices compuestos para estimar los aspectos territoriales asociados al riesgo de OI. Objetivo: elaborar un índice de riesgo de OI (IROBIC) para unidades administrativas pequeñas (comunas) de Chile Métodos: se utilizaron datos de 2019 de fuentes públicas con información de menores de 10 años de todas las comunas de las 2 regiones más grandes. El IROBIC incluye 16 indicadores estandarizados por comuna y agrupados en cuatro dimensiones, determinadas por análisis de componentes principales (salud, socio económica, entornos comunal y educacional). Se determinó el IROBIC mediante una media geométrica ponderada y posteriormente se calcularon las diferencias entre las 10 y 5 comunas con mayores y menores IROBIC y de cada dimensión, con el coeficiente de disparidad Resultados: aun cuando los mayores IROBIC se obtuvieran en comunas más vulnerables, su valor total y el de cada dimensión, mostraron que es posible amortiguar los efectos de la desigualdad sobre la OI. Las 10 y 5 comunas con mayor IROBIC presentan un riesgo, 2,41 y 4,05 veces mayor que las de menor valor, respectivamente. Conclusiones: el IROBIC puede monitorear el riesgo de OI —y factores asociados— desde una perspectiva territorial. (AU)

Introduction: although the prevalence of childhood obesity (CO) is high globally, there are no composite indices to estimate territorial aspects associated with its risk Objective: to develop an obesity risk index (IROBIC) for small administrative units, called “comunas” in Chile Methods: we used 2019 data from public sources on children under 10 years living in “comunas” of the two largest regions. IROBIC includes 16 indicators standardized for each “comuna” and grouped together into four domains, determined by principal component analysis (health, socio-economic, built-in and educational environments). IROBIC was calculated as a weighted geometric mean. Differences in obesity risk between the 10 and 5 “comunas” with the highest and lowest IROBIC and of each domain, were calculated with the disparity ratio. Results: in spite of the poorest “comunas” having the highest IROBIC, when its value and that for each domain were considered, we observed that the effect of inequality could be mitigated. The 10 and 5 “comunas” with the highest IROBIC have a 2.41 and 4.05 higher risk of CO compared to those with the lowest values Conclusions: IROBIC is a useful tool for monitoring the risk of CO and its factors from a territorial perspective. (AU)

Impacto del COVID-19 en la esperanza de vida en los municipios de los estados del noreste de México / COVID-19 impact on life expectancy among municipalities of Northeastern states of Mexico

RESUMEN La mortalidad causada por COVID-19 en México se ha situado entre las más altas del mundo, por lo que es de interés epidemiológico estudiar su impacto respecto a la esperanza de vida (EV). El objetivo del presente trabajo fue analizar el impacto de la pandemia por COVID-19 en la esperanza de vida, comparando datos de 2019 y 2020, y evaluando su efecto por densidad poblacional de los municipios de los estados del noreste de México. La información sobre mortalidad para 2019 y 2020 se obtuvo de la Secretaría de Salud, y la demográfica del Consejo Nacional de Población. Se construyeron tablas de vida mediante el método actuarial estándar; se calcularon percentiles ≤ 25 y ≥ 75 de la diferencia en la EV; se evaluó la relación entre el tamaño de la población de los municipios y la magnitud de la diferencia en la pérdida de años en la EV. La pandemia por COVID-19 impactó en la EV en los estados del noreste de México, con gran heterogeneidad al interior en cada uno de ellos. La pérdida en años en promedio fue, para Coahuila de 5.4, Nuevo León 4.1 y Tamaulipas 4.9. Los municipios del percentil ≥ 75 mostraron una pérdida promedio de 9.2 años y los del percentil ≤ 25 de -0.35 años. La diferencia en la pérdida en años de EV, entre 2019 y 2020, se vio influenciada por el tamaño de la población, tendiendo a ser mayor en aquellos con mayor densidad demográfica, sin ser el único factor determinante.

ABSTRACT COVID-19 mortality in Mexico is among the highest in the world. Therefore, it is of epidemiologic interest to study its impact on life expectancy. The aim of the present paper was to analyze the impact of the COVID-19 pandemic on life expectancy through a comparison of data from 2019 and 2020. Specifically, the effect of population density in municipalities of Northeastern Mexican states. Information regarding 2019 and 2020 mortality rates for was obtained from the Ministry of Health, and demographics from the National Population Council. Life tables were constructed using the standard actuarial method. Percentiles ≤ 25 and ≥ 75 of the difference in life expectancy in the period were calculated. The relationship between the size of the population of the municipalities and the magnitude of the difference in life expectancy loss of years was evaluated. COVID-19 pandemic impacted on life expectancy with great heterogeneity in each of the northeastern states of Mexico. The loss in years in average life expectancy was 5.4 for Coahuila, 4.1 for Nuevo Leon and 4.9 for Tamaulipas. Municipalities above the ≥ 75th percentile showed an average loss of 9.2 years. Those in the lower than ≤ 25th percentile showed a decrease, of -0.35 years. The difference in the loss of life expectancy during 2019 and 2020 was influenced by population size, tending to be greater in those municipalities with higher population density, but was not the only determining factor.

Evidence of waste management impacting severe diarrhea prevalence more than WASH: An exhaustive analysis with Brazilian municipal-level data.

Adequate housing protects from diarrhea, which is a substantial health concern in low- and middle-income countries. The purpose of this study was to quantify the relationship between severe diarrhea and housing features at the municipal level to help in public health planning. Regression analyses were performed on annual (2000-2012) datasets on Brazilian municipalities (5570) in six household feature categories (e.g., waste management) and four severe diarrhea outcomes (e.g., diarrhea deaths of under-5 children). Household data were not available elsewhere of this magnitude and granularity, highlighting the scientific value-add of this study. Municipalities were clustered prior to regression analysis because of data heterogeneity. The compositional household feature data were also subjected to principal component analysis to diminish feature variable multicollinearity. The highest explanatory power was found for diarrhea deaths of under-5 children (R2 = 10-22 %), while those in the over-5 population were the least best explained (R2 = 0.3-7 %). Household features predicted diarrhea outcomes more accurately in the "advanced" housing municipality cluster (R2 = 16-22 %) than in the "mid-level" (R2 = 7-20 %) and "basic" (R2 = 6-12 %) ones (over-5 diarrhea deaths excluded). Under-5 children's diarrhea death prevalence was three times higher in the "basic" cluster than in the "advanced" cluster. Importantly, the impact of waste management was overall the largest of all household features, even larger than those of WASH, i.e., water supply, sanitation, and household drinking water treatment. This is surprising in the context of existing literature because WASH is generally regarded as the most important household factor affecting gastrointestinal health. In conclusion, public health interventions could benefit from customizing interventions for diarrhea outcomes, municipality types, and household features. Waste management's identified stronger association with diarrhea compared to WASH may have important implications beyond the water field and Brazil.

A resilience perspective on healthcare personnels' experiences of managing the COVID-19 pandemic: a qualitative study in Norwegian nursing homes and come care services.

BACKGROUND: The COVID-19 pandemic led to new and unfamiliar changes in healthcare services globally. Most COVID-19 patients were cared for in primary healthcare services, demanding major adjustments and adaptations in care delivery. Research addressing how rural primary healthcare services coped during the COVID-19 pandemic, and the possible learning potential originating from the pandemic is limited. The aim of this study was to assess how primary healthcare personnel (PHCP) working in rural areas experienced the work situation during the COVID-19 outbreak, and how adaptations to changes induced by the pandemic were handled in nursing homes and home care services. METHOD: This study was conducted as an explorative qualitative study. Four municipalities with affiliated nursing homes and homecare services were included in the study. We conducted focus group interviews with primary healthcare personnel working in rural nursing homes and homecare services in western Norway. The included PHCP were 16 nurses, 7 assistant nurses and 2 assistants. Interviews were audio recorded, transcribed and analyzed using thematic analysis. RESULTS: The analysis resulted in three main themes and 16 subthemes describing PHCP experience of the work situation during the COVID-19 pandemic, and how they adapted to the changes and challenges induced by the pandemic. The main themes were: "PHCP demonstrated high adaptive capacity while being put to the test", "Adapting to organizational measures, with varying degree of success" and "Safeguarding the patient's safety and quality of care, but at certain costs". CONCLUSION: This study demonstrated PHCPs major adaptive capacity in response to the challenges and changes induced by the covid-19 pandemic, while working under varying organizational conditions. Many adaptations where long-term solutions improving healthcare delivery, others where short-term solutions forced by inadequate management, governance, or a lack of leadership. Overall, the findings demonstrated the need for all parts of the system to engage in building resilient healthcare services. More research investigating this learning potential, particularly in primary healthcare services, is needed.

Challenges to implement and operationalize the WEEE reverse logistics system at the micro level.

Waste electrical and electronic equipment (WEEE) possesses unique characteristics such as its growing production and the potential for resource extraction due to its composition. The implementation and operationalization of a reverse logistics system (RLS) for WEEE is a challenge, particularly concerning the micro level. The implementation of such systems often prioritizes urban centers and their higher population densities, generally overlooking the micro level. The latter refers to ward- or village-level divisions, which can be regarded as the smallest administrative divisions of both urban and rural areas. Furthermore, it encompasses any area facing logistical challenges regarding RLS operationalization due to factors such as geographical isolation, budgetary constraints, imbalances, social isolation, environmental aspects, and even geopolitical conflicts. This study is aimed at addressing this literature gap by discussing the challenges to implement and operationalize a WEEE RLS at the micro level. A systematic literature review was employed as our methodology. We found 13 challenges for developed and developing countries without distinction between macro and micro levels. An additional approach highlighted the significance of monitoring and controlling WEEE RLS. The challenge The population and LRS entities' lack or insufficient training and awareness received the most citations in the conducted search. These challenges were organized by operational phase and discussed from the perspective of the micro level to comprehend multifactorial local challenges involving all stakeholders in the reverse logistics of WEEE in emerging nations. This can assist local administrators and constitutes the primary contribution of this study.

Efecto de la mortalidad por COVID-19 en la esperanza de vida en los municipios de México. Comparación 2019 y 2020 / Effect of COVID-19 mortality on life expectancy in municipalities of Mexico. Comparison between 2019 and 2020

Resumen Antecedentes: La esperanza de vida es un indicador relacionado con condiciones médicas, demográficas, sociales y geográficas. Objetivos: Analizar el efecto de la pandemia de COVID-19 en la esperanza de vida y de su distribución según variables sociodemográficas en municipios de México. Material y métodos: Se recabó información sobre mortalidad de la Secretaría de Salud, así como información demográfica del Censo de Población y Vivienda de 2020. La esperanza de vida se calculó conforme el método actuarial estándar. Se realizó análisis de riesgo entre la pérdida de la esperanza de vida en años y el tamaño de la población, población económicamente activa, años de escolaridad y población de habla indígena. Resultados: En 2020 se registró una caída promedio de 4.7 años en la esperanza de vida a nivel nacional, pero su distribución fue heterogénea en los municipios, con valores extremos de −2.8 años y 12.6 años. El análisis de riesgo mostró una relación inversa entre las variables sociodemográficas y la pérdida de años de esperanza de vida, con excepción de la población de habla indígena. Conclusiones: El impacto de la pandemia de COVID-19 en la esperanza de vida en México fue significativo, matizado por las variables sociodemográficas analizadas, particularmente por el tamaño de la población de los municipios.

Abstract Background: Life expectancy (LE) is an indicator related to medical, demographic, social and geographic conditions. Objectives: To analyze the effect of the COVID-19 pandemic on LE and of its distribution according to sociodemographic variables in municipalities of Mexico. Methods: Information on mortality was collected from data published by the Ministry of Health, and demographic information from the 2020 Population and Housing Census. LE was calculated according to the standard actuarial method. A risk analysis was carried out between expected years of life lost and the size of the population, economically active population, years of education and indigenous-speaking population. Results: In 2020, there was a nation-wide average drop of 4.7 years in LE, but its distribution was heterogeneous at the municipal level, with extreme values of -2.8 years and 12.6 years. The risk analysis showed an inverse relationship between sociodemographic variables and expected years of life lost, except for the indigenous-speaking population. Conclusions: The impact of the COVID-19 pandemic on LE in Mexico was significant, and was influenced by the analyzed sociodemographic variables, particularly by the municipalities' population size.

Bovine leukosis virus, bovine viral diarrhea, and bovine neosporosis seroprevalence in specialized dairy herds in Antioquia-Colombia.

Enzootic bovine leukosis (EBL) is a chronic infectious disease caused by the bovine leukosis virus (BLV), a Deltaretrovirus. Bovine viral diarrhea (BVD) is an infectious disease caused by a pestivirus. Bovine neosporosis is caused by the obligate intracellular parasite Neospora caninum (Nc). These pathogens can have horizontal (postnatal) or vertical (transplacental) transmissions and affect the productive and reproductive performance of infected bovines. This work aimed to detect BLV, BVD, and Nc seroprevalence in specialized dairy cattle from the north, east, and Aburrá Valley regions of the Department of Antioquia, the highest in milk production regions in Antioquia. A total of 599 blood samples, obtained from 53 specialized dairy cattle herds, were evaluated by the ELISA test. The results revealed a seroprevalence of 41.13% for BLV (242/599), 28.48% (163/599) for Nc, and 22.7% (132/599) for BVD. Regarding the regional seroprevalence evaluation, BLV was found in 47.02% of the samples from the east, 36.87% from the north, and 46.02% from the Aburrá Valley. Nc was found in 31.03% of the samples from the east, 24.26% from the north, and 36.63% from Aburrá Valley. BVD was found in 21.62% of the samples from the east, 25.03% from the north region, and 10.39% of the samples from the Aburrá Valley. It is highlighted by these results that the north region, with the highest milk production in Antioquia, had the lowest BLV and Nc seroprevalences but the highest seroprevalence of BVD. BLV has increased in Antioquia in recent years, and as an immunosuppressive infection, opportunities for other pathogens are created by it. A significant statistical difference was found in the average prevalence of the pathogens according to the municipality, cattle breed, and region of origin of the sample. The seroprevalence of these pathogens in specialized dairy herds in Antioquia can be classified as medium-low. However, it is recommended that biosecurity practices should be maximized to avoid the spread of these pathogens due to the variability detected in the region, municipality, breed group, and herd age. The rapid and efficient diagnosis of these three pathogens through reliable methodologies will allow for the control of dissemination in dairy herds.

Passing on the hot potato. Dutch municipalities under financial pressure have incentives to shift the costs of social care for older people to the central government.

In view of the impending ageing of the population, countries have been searching for ways to restructure their social care system. Reforms often involve a decentralisation of authority from central to local government. Although such a decentralisation presents the opportunity to be receptive to social demand, it could provide the incentive for local governments that bear the burden of the costs to (partly) transfer their costs back to the central level. In this paper we examine the impact of fiscal distress of municipalities on cost-shifting behaviour to the central long-term care system in the Netherlands. Using data on both the municipal level as well as the level of individual applicants for the period 2016-2019, we find that municipalities with fiscal distress in social care have higher percentages of applications for centrally funded long-term care. However, we also observe that higher percentages of applications and rejections are positively correlated suggesting that the Dutch independent need assessor has the capacity to (partly) discard cost-shifted applications.

Religious identification (BELIEVERS) by population size of the municipalities in Spain.

Previous research on religiosity in urban areas of Spain has typically relied on qualitative methods and focuses on densely populated provincial capitals. This study explores the significant variability in religious identification across Spain's municipalities, with individuals in larger municipalities reporting lower levels of religiosity than those in smaller ones. The study also examines how this variability is influenced by demographic factor such as gender, age, and education. The results reveal substantial differences in religiosity across municipalities, particularly among the eight Spanish municipalities with a population of over 400,000 residents aged 18 and older. Specifically, Barcelona and Palma de Mallorca show the lowest levels of religious identification, while Madrid falls in the middle and Murcia, Sevilla, Malaga, and Zaragoza show the highest levels. The data used in this study comes from a fusion of 125 monthly surveys conducted by CIS (Centro de Investigaciones Sociológicas) in Spain between January 2013 and June 2022 (excluding August), and includes 406,511 interviewees, 398,516 of whom identify as religious or non-religious. In summary, this study sheds light on the relationship between religiosity and population size in Spain, highlighting the need to consider this variable when conducting research in this field.

Evaluating the resource recovery efficiency of garbage removal and disposal in Taiwan.

All countries recognize the importance of enhancing circular resource utilization and promoting zero waste in order to achieve a circular economy. This study focuses on 22 counties (cities) in Taiwan and analyses the relationship between changes in resource recovery efficiency and productivity over an 8-year period (2011-2018) using the super efficiency directional distance function and total factor productivity. The results indicate that the average total efficiency of resource recovery in the 22 counties (cities) is 1.3951, with 17 counties (cities) exceeding 1. The average gross productivity of resource recovery is 1.0417, and only four counties have a gross productivity of less than 1. Despite having more administrative resources, municipalities directly under the central government have a slightly lower average total efficiency of resource recovery (1.1464) than non-municipalities (1.4885). To improve efficiency, the government should allocate resources rationally and upgrade technology. The study's findings can serve as a reference for the 22 counties (cities) in Taiwan and provide guidance for municipal governments worldwide in developing policies related to resource recovery.

Public Debt in the Spanish Municipalities: Drivers and Policy Proposals.

The COVID-19 pandemic has exacerbated the local debt in Spanish municipalities with negative consequences on the macroeconomic financial stability at national and eurozone level. The main objective is to identify the causes of public debt per capita in four groups of Spanish municipalities according to size. It is based on a quantitative analysis based on correlational and causal-comparative approaches. It consists in the construction of panel quantile regressions (MMQ) and mean group (ME) estimators to explain public debt per capita in Spanish municipalities. Moreover, the Juodis test for causality analysis in panel data is applied. The research is constructed around various types of potential determinants related to economic factors (GDP per capita and unemployment rate), demographic factors (population under 15 and population over 65), and political factors (political party, ideology, and political strength). The results based on MMQR for the period 2011-2020 indicate common factors that reduce local debt (short-run economic growth), but also differences between clusters in what concerns factors that increase or decrease the debt. The Juodis et al. (2021) test shows that growth and unemployment are factors that influence the level of public debt in all groups of municipalities except one (5001-20,000 inhabitants) where political party affects debt. These empirical findings support policy proposals to reduce the local debt in Spanish municipalities. The main initiatives to reduce debt should be based on the promotion of economic growth and creation of new jobs, especially for young people.

Transferências intergovernamentais são capturadas pelos servidores municipais? Os determinantes da diferença salarial entre o setor público e o setor privado / ¿Las transferencias intergubernamentales son captadas por servidores municipales? Los determinantes de la brecha salarial entre los sectores público y privado / Do local civil servants capture intergovernmental transfers? The different wage determinants between the public and private sector

Resumo Esta pesquisa tem por objetivo investigar o efeito das transferências intergovernamentais na diferença salarial entre os servidores municipais e os funcionários do setor privado. A amostra foi formada por 5.449 municípios durante o período de 2000 a 2016, agrupados em 5.344 áreas mínimas comparáveis. Os procedimentos metodológicos quantitativos foram desenvolvidos em duas etapas. Na primeira, mediu-se a diferença salarial mediana entre os servidores municipais e os funcionários do setor privado por meio da regressão quantílica incondicional. Na segunda, a análise dos determinantes da diferença salarial foi realizada por meio de regressão múltipla com dados em painel, efeitos fixos e estimações adicionais com erros robustos a cluster, correlação temporal e correlação espacial. Os resultados indicaram que o aumento de 1% das transferências intergovernamentais per capita resulta em aumento de 0,067% na diferença salarial nos municípios brasileiros entre os servidores municipais e os funcionários do setor privado. Além disso, a elevação de 1% no Produto Interno Bruto (PIB) per capita resulta numa redução de 0,036% da diferença salarial. Por último, a pesquisa observou que o tamanho populacional aumenta enquanto a competição eleitoral reduz a diferença salarial nos municípios brasileiros.

Resumen Esta investigación tuvo como objetivo investigar el efecto de las transferencias intergubernamentales en la diferencia salarial entre los servidores municipales y los empleados del sector privado. La muestra estuvo conformada por 5.449 municipios durante el período 2000 a 2016, agrupados en 5.344 áreas mínimas comparables. Los procedimientos metodológicos cuantitativos se desarrollaron en dos etapas. En la primera, la mediana de la diferencia salarial entre los empleados municipales y los del sector privado se midió utilizando la regresión por cuantiles incondicionales. En la segunda etapa, el análisis de los determinantes de la brecha salarial se realizó mediante regresión múltiple con datos de panel, efectos fijos y estimaciones adicionales con errores robustos por clúster, correlación temporal y correlación espacial. Los resultados indicaron que un aumento del 1% en las transferencias intergubernamentales per cápita resulta en un aumento del 0,067% en la brecha salarial en los municipios brasileños entre los servidores municipales y los empleados del sector privado. Además, identificó que un aumento de 1% en el PIB per cápita se traduce en una reducción de 0,036% en la brecha salarial. Finalmente, la investigación observó que el tamaño de la población aumenta mientras la competencia electoral reduce la brecha salarial en los municipios brasileños.

Abstract This article examines the intergovernmental transfer effects on wage differences between local civil servants and private sector employees. The sample was composed of 5,449 Brazilian municipalities, working with data from 2000 to 2016 clustered in 5,344 minimum comparable areas (MCA). The methodological procedures were quantitative and developed in two steps. The first step was to assess the median wage difference between local civil servants and private sector employees through unconditional quantile regression. The second was the analysis of different wage determinants through multiple regression with panel data, fixed effects, and additional estimations such as cluster-robust standard errors, temporal correlation, and spatial correlation. The results demonstrated that when per capita intergovernmental transfers increase by 1%, the wage difference between local civil servants and private sector employees increases by 0.067%. Besides that, when per capita GDP increases by 1%, the wage difference decreases by 0.036%. Furthermore, the paper observed that populational size increases and electoral competition decreases wage differences between the public and private sectors in Brazilian municipalities.

Obstacles to Evidence-Based Procurement, Implementation, and Evaluation of Health and Welfare Technologies in Swedish Municipalities: Mixed Methods Study.

BACKGROUND: Health and welfare technologies (HWTs) are interventions that aim at maintaining or promoting health, well-being, quality of life, and increasing efficiency in the service delivery system of welfare, social, and health care services, while improving the working conditions of the staff. Health and social care must be evidence-based according to national policy, but there are indications that evidence for HWT effectiveness is lacking in related Swedish municipal work processes. OBJECTIVE: This study aimed to investigate whether the evidence is used when Swedish municipalities procure, implement, and evaluate HWT, and if so, the kinds of evidence and the manner of their use. The study also aimed to identify if municipalities currently receive adequate support in using evidence for HWT, and if not, what support is desired. METHODS: An explanatory sequential mixed methods design was used with quantitative surveys and subsequent semistructured interviews with officials in 5 nationally designated "model" municipalities regarding HWT implementation and use. RESULTS: In the past 12 months, 4 of 5 municipalities had required some form of evidence during procurement processes, but the frequency of this varied and often consisted of references from other municipalities instead of other objective sources. Formulating requirements or requests for evidence during procurement was viewed as difficult, and gathered evidence was often only assessed by procurement administration personnel. In total, 2 of 5 municipalities used an established process for the implementation of HWT, and 3 of 5 had a plan for structured follow-up, but the use and dissemination of evidence within these were varying and often weakly integrated. Standardized processes for follow-up and evaluation across municipalities did not exist, and those processes used by individual municipalities were described as inadequate and difficult to follow. Most municipalities desired support for using evidence when procuring, establishing evaluation frameworks for, and following up effectiveness of HWT, while all municipalities suggested tools or methods for this kind of support. CONCLUSIONS: Structured use of evidence in procurement, implementation, and evaluation of HWT is inconsistent among municipalities, and internal and external dissemination of evidence for effectiveness is rare. This may establish a legacy of ineffective HWT in municipal settings. The results suggest that existing national agency guidance is not sufficient to meet current needs. New, more effective types of support to increase the use of evidence in critical phases of municipal procurement and implementation of HWT are recommended.

Spatio-temporal relative risks and priority areas for visceral leishmaniasis control in Brazil, between 2001 and 2020.

Visceral leishmaniasis (VL) is a pressing public health problem in Brazil. The proper implementation of disease control programs in priority areas is a challenge for healthcare managers. The present study aimed to analyze the spatio-temporal distribution and identify high risk areas of VL occurrence in the Brazilian territory. We analyzed data regarding new cases with confirmed diagnosis of VL in Brazilian municipalities, from 2001 to 2020, extracted from the Brazilian Information System for Notifiable Diseases. The Local Index of Spatial Autocorrelation (LISA) was used to identify contiguous areas with high incidence rates in different periods of the temporal series. Clusters of high spatio-temporal relative risks were identified using the scan statistics. The accumulated incidence rate in the analyzed period was 33.53 cases per 100,000 inhabitants. The number of municipalities that reported cases showed an upward trend from 2001 onward, although there was a decrease in 2019 and 2020. According to LISA, the number of municipalities considered a priority increased in Brazil and in most states. Priority municipalities were predominantly concentrated in the states of Tocantins, Maranhão, Piauí, and Mato Grosso do Sul, in addition to more specific areas of Pará, Ceará, Piauí, Alagoas, Pernambuco, Bahia, São Paulo, Minas Gerais, and Roraima. The spatio-temporal clusters of high-risk areas varied throughout the time series and were relatively higher in the North and Northeast regions. Recent high-risk areas were found in Roraima and municipalities in northeastern states. VL expanded territorially in Brazil in the 21st century. However, there is still a considerable spatial concentration of cases. The areas identified in the present study should be prioritized for disease control actions.

Relationship between changes in the public health nurses' workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan.

BACKGROUND: The role of public health nurses (PHNs) in the community is expected to become increasingly important, along with the promotion of a comprehensive community care system. However, a comprehensive study of all municipalities is yet to be undertaken, and the relationship between the workforce of PHNs and health indicators is yet to be clarified. This study examined the effect of workforce change among PHNs, one of the structural indicators of PHNs' activities regarding changes in the empirical Bayes estimate of standardized mortality ratios (EBSMRs). METHODS: An ecological study was conducted using municipality-level aggregate data. The data used were publicly available Japanese government statistics. The first-difference model of panel data analysis was used to examine the relationship between changes in EBSMR and changes in the number of PHNs per 100,000 population from 2010 to 2015, adjusting for the effects of population and other healthcare resources, including the number of physicians, medical clinics, general hospitals, and welfare facilities. The variation by the 47 prefectures was added to the linear model as a random effect. We also performed a sensitivity analysis using the full Bayesian inference using the Besag-York-Mollie model. RESULTS: For males, EBSMRs for all causes and malignant neoplasms significantly decreased with an increase in the number of PHNs per population (coefficients: -1.00 and -0.89, p values: 0.008 and 0.043, respectively). For females, although all EBSMRs except malignant neoplasms showed decreased tendencies due to the increase in the number of PHNs per population, none of them were significant. The full Bayesian inference confirmed these associations. CONCLUSIONS: An increase in the number of PHNs per population was significantly associated with a greater reduction in deaths from all causes and malignant neoplasms in males. The results of the full Bayesian inference also suggest that the workforce of PHNs may be related to changes in standardized mortality ratios for deaths from all causes in females.

The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain).

This study focuses on the space-time patterns of the COVID-19 Omicron wave at a regional scale, using municipal data. We analyze the Basque Country and Cantabria, two adjacent regions in the north of Spain, which between them numbered 491,816 confirmed cases in their 358 municipalities from 15th November 2021 to 31st March 2022. The study seeks to determine the role of functional urban areas (FUAs) in the spread of the Omicron variant of the virus, using ESRI Technology (ArcGIS Pro) and applying intelligence location methods such as 3D-bins and emerging hot spots. Those methods help identify trends and types of problem area, such as hot spots, at municipal level. The results demonstrate that FUAs do not contain an over-concentration of COVID-19 cases, as their location coefficient is under 1.0 in relation to population. Nevertheless, FUAs do have an important role as drivers of spread in the upward curve of the Omicron wave. Significant hot spot patterns are found in 85.0% of FUA area, where 98.9% of FUA cases occur. The distribution of cases shows a spatially stationary linear correlation linked to demographically progressive areas (densely populated, young profile, and with more children per woman) which are well connected by highways and railroads. Based on this research, the proposed GIS methodology can be adapted to other case studies. Considering geo-prevention and WHO Health in All Policies approaches, the research findings reveal spatial patterns that can help policymakers in tackling the pandemic in future waves as society learns to live with the virus.