Antimicrobial drug self-medication occurs most often in eastern and southern Europe and least often in northern and western Europe.

Objective. To compare inequalities in full infant vaccination coverage at two different time points between 1992 and 2016 in Latin American and Caribbean countries. Methods. Analysis is based on recent available data from Demographic and Health Surveys, Multiple Indicator Cluster Surveys, and Reproductive Health Surveys conducted in 18 countries between 1992 and 2016. Full immunization data from children 12–23 months of age were disaggregated by wealth quintile. Absolute and relative inequalities between the richest and the poorest quintile were measured. Differences were measured for 14 countries with data available for two time points. Significance was determined using 95% confidence intervals. Results. The overall median full immunization coverage was 69.9%. Approximately one-third of the countries have a high-income inequality gap, with a median difference of 5.6 percentage points in 8 of 18 countries. Bolivia, Colombia, El Salvador, and Peru have achieved the greatest progress in improving coverage among the poorest quintiles of their population in recent years. Conclusion. Full immunization coverage in the countries in the study shows higher-income inequality gaps that are not seen by observing national coverage only, but these differences appear to be reduced over time. Actions monitoring immunization coverage based on income inequalities should be considered for inclusion in the assessment of public health policies to appropriately reduce the gaps in immunization for infants in the lowest-income quintile.

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Background Maternal and child health have shown important advances in the world in recent years. However, national averages indicators hide large inequalities in access and quality of care in population subgroups. We explore wealth-related inequalities affecting health coverage and interventions in reproductive, maternal, newborn, and child health in Latin America and the Caribbean. Methods We analyzed representative national surveys from 15 countries conducted between 2001 and 2016. We estimated maternal-child health coverage gaps using the Composite Coverage Index – a weighted average of interventions that include family planning, maternal and newborn care, immunizations, and treatment of sick children. We measured absolute and relative inequality to assess gaps by wealth quintile. Pearson’s correlation coefficient was used to test the association between the coverage gap and population attributable risk. Results The Composite Coverage Index showed patterns of inequality favoring the wealthiest subgroups. In eight countries the national coverage was higher than the global median (78.4%; 95% CI: 73.1–83.6) and increased significantly as inequality decreased (Pearson r = 0.9; p < 0.01). Conclusions There are substantial inequalities between socioeconomic groups. Reducing inequalities will improve coverage indicators for women and children. Additional health policies, programs, and practices are required to promote equity.

As the COVID-19 pandemic progresses, millions of infants are unprotected against immune-preventable diseases due to interruptions in vaccination services. The direct effects of the pandemic, as well as the non-pharmacological interventions for its containment, mitigation and suppression adopted by many countries, have affected their vaccination programs. We conducted an ecological study analyzing the performance of the vaccination program in the Dominican Republic before ( 2019) and during the COVID-19 pandemic (2020). We compared annual public coverage data, analyzed trends and changes in coverage, dropout rate, and number of partially and unvaccinated infants by geographic area and COVID-19 incidence rate. Compared to baseline, coverage for all vaccines decreased by 10.4 (SD, 3.6) percent; among these, coverage for the third dose of the pentavalent vaccine decreased from 90.1% in 2019 to 81.1% in 2020. The number of partially vaccinated (n = 34,185) and unvaccinated (n = 5,593) infants increased 66% and 376%, respectively. The slight increase in the annual dropout rate (1.1%) was directly proportional to the number of COVID-19 cases per month. We found a significant association between the annual absolute change of Penta3 and the subnational Human Development Index. The pandemic significantly weakened the performance of the routine vaccination program. Interventions are needed to recover and maintain lost vaccination coverage, reducing the risk of outbreaks of preventable diseases, especially in those provinces with less human development.

Demographic and health attributes of the Nahua, initial contact population of the Peruvian AmazonCaracterísticas demográficas y de salud de la población Nahua: población en contacto inicial de la Amazonía Peruana

Dengue has broadened its global distribution substantially in the past two decades, and many endemic areas are experiencing increases in incidence. The Dominican Republic recently experienced its two largest outbreaks to date with 16,836 reported cases in 2015 and 20,123 reported cases in 2019. With this upward trend in dengue transmission, developing tools to better prepare healthcare systems and mosquito control agencies is of critical importance. Before such tools can be developed, however, we must first better understand potential drivers of dengue transmission. To that end, we focus in this paper on determining trends between climate variables and dengue transmission with an emphasis on eight provinces and the capital city of the Dominican Republic in the period 2015-2019. We present summary statistics for dengue cases, temperature, precipitation, and relative humidity in this period, and we conduct an analysis of correlated lags between climate variables and dengue cases as well as correlated lags among dengue cases in each of the nine locations. We find that the southwestern province of Barahona had the largest dengue incidence in both 2015 and 2019. Among all climate variables considered, lags between temperature variables and dengue cases were the most highly correlated. We found that most locations had significant correlations at lags of zero weeks; however, both Barahona and the northern province of Monte Cristi had significantly correlated lags with other provinces at up to eight weeks. These results can be used to improve predictive models of dengue transmission in the country.

Dengue has broadened its global distribution substantially in the past two decades, and many endemic areas are experiencing increases in incidence. The Dominican Republic recently experienced its two largest outbreaks to date with 16,836 reported cases in 2015 and 20,123 reported cases in 2019. With continued increases in dengue transmission, developing tools to better prepare healthcare systems and mosquito control agencies is of critical importance. Before such tools can be developed, however, we must first better understand potential drivers of dengue transmission. To that end, we focus in this paper on determining relationships between climate variables and dengue transmission with an emphasis on eight provinces and the capital city of the Dominican Republic in the period 2015–2019. We present summary statistics for dengue cases, temperature, precipitation, and relative humidity in this period, and we conduct an analysis of correlated lags between climate variables and dengue cases as well as correlated lags among dengue cases in each of the nine locations. We find that the southwestern province of Barahona had the largest dengue incidence in both 2015 and 2019. Among all climate variables considered, lags between relative humidity variables and dengue cases were the most frequently correlated. We found that most locations had significant correlations with cases in other locations at lags of zero weeks. These results can be used to improve predictive models of dengue transmission in the country.