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Previous studies have shown associations between air pollutants and low birth weight. However, few studies assess whether poverty and race/ethnicity are effect modifiers for this relationship. We used publicly available data on 7785 California census tracts from the California Communities Environmental Health Screening Tool (CalEnviroScreen). Multivariable linear regression was used to examine the association between outdoor PM2.5 and low birth weight (LBW), including stratification by poverty and race/ethnicity (as a proxy for experienced racism). A 1 µg m-3 increase in PM2.5 was associated with a 0.03% (95% CI: 0.01, 0.04) increase in the percentage of LBW infants in a census tract. The association between PM2.5 and LBW was stronger in census tracts with the majority living in poverty (0.06% increase; 95% CI: 0.03, 0.08) compared to those with fewer people living in poverty (0.02% increase; 95% CI: 0.00, 0.03). Our results show that exposure to outdoor PM2.5 is associated with a small increase in the percentage of LBW infants in a census tract, with a further increase in tracts with high poverty. The results for effect modification by race/ethnicity were less conclusive.

Background Tick-borne infections, including tsutsugamushi disease, Japanese spotted fever, and severe fever with thrombocytopenia syndrome (SFTS), are prevalent in East Asia with varying geographic distribution and seasonality. This study aimed to investigate the differences in the characteristics among endemic areas for contracting each infection. Methods We conducted an ecologic study in Japan, using data from a nationwide inpatient database and publicly available geospatial data. We identified 4493 patients who were hospitalized for tick-borne infections between July 2010 and March 2021. Mixed-effects modified Poisson regression analysis was used to identify factors associated with a higher risk of contracting each tick-borne disease (Tsutsugamushi, Japanese spotted fever, and SFTS). Results Mixed-effects modified Poisson regression analysis revealed that environmental factors, such as temperature, sunlight duration, elevation, precipitation, and vegetation, were associated with the risk of contracting these diseases. Tsutsugamushi disease was positively associated with higher temperatures, farms, and forests, whereas Japanese spotted fever and SFTS were positively associated with higher solar radiation and forests. Conclusions Our findings from this ecologic study indicate that different environmental factors play a significant role in the risk of transmission of tick-borne infections. Understanding the differences can aid in identifying high-risk areas and developing public health strategies for infection prevention. Further research is needed to address causal relationships. [ABSTRACT FROM AUTHOR]

Background: In 2020, shortly after recognizing the COVID-19 virus in China on March 11, the World Health Organization (WHO) declared the Covid-19 outbreak a pandemic. It is estimated that COVID-19 is responsible for millions of morbidities and deaths globally, causing devastating health, social and economic crises. This ecologic study aimed to define the correlation between a few key elements of a national health system (i.e., quality of health care services, rate of provided COVID-19 diagnostic tests, and coverage of flu vaccine in the preceding years of the COVID-19 pandemic) and the fatality rate of COVID-19 in countries that were affected by the Covid-19 epidemic in the early phase of the pandemic.Methods: In this ecological study, data regarding the total population, number of active cases, total cases, mortality, and time to peak of the COVID-19 epidemic for the countries with defined criteria and the required data available were collected from the Worldmeter database. Thehealth system quality of the selected countries was obtained using a report by WHO (Measuring Overall Health System Performance for 191 Countries). The Flu vaccine coverage of the selected populations was ordered and ranked using graphs provided by a joint VENICE–ECDC–WHO survey. The analysis was done by fitting meta-regression using rates and confidence intervals. A forest graph was used to show the summary of the results. R version 6.3 (package meta) was used to do the analysis.Results: The average Case fatality rate (CFR) of the 26 selected countries was 115 per 1000 for COVID-19. Testing for heterogeneity suggested that CFR was highly heterogeneous among the countries. The regression analysis results suggested that CFR for COVID-19 was inversely related to the rate of COVID-19 diagnostic tests and was directly related to the rate of flu vaccine coverage).Conclusion: The direct correlation between flu vaccine coverage and CFR of COVID-19 may suggest a positive effect of the natural circulation of flu infection on the effectiveness of the individuals’ immune response. Also, the natural flu infection may protect those who could not tolerate the respiratory complications of COVID-19 infection. The results may help NHSs to cope better with future pandemics. In addition, to provide a faster and more effective response to any future infectious pandemic, better access to diagnosis tests seems to be an effective approach in reducing morbidity and mortality.

Background: HIV, Tuberculosis, and Malariaare neglected due to the high pressure imposed on healthcare systems by COVID-19; however, since these diseases afflict a large number of patients globally, their effect on COVID-19, as a world pandemic, should be assessed. We aimed to assess the relationship between the prevalence of these diseases and COVID-19 indices.Methods: In this ecological study, a data set was provided, which included the epidemiologic indices of COVID-19 for each country. The scatter plots of the social capital for the studied countries based on the epidemiologic indices of COVID-19 and HIV (human immunodeficiency virus), and Malaria were drawn.Results: The prevalence of HIV, Tuberculosis, and Malaria were inversely correlated with the cumulative incidence rate of cases, the cumulative incidence rate of death, and COVID-19 tests performed per million, and was directly correlated with the recovery rate. No correlation was seen between case fatality rate and the prevalence of these infectious diseases.Conclusion: However, the results of this study were in favor of people afflicted with HIV, and Further studies should be conducted on the concurrence of infectious events and their adverse consequences with future analytical protocols.

Background: Given that COVID-19 spreads worldwide, it has become a public health priority. This study aims to investigate the correlation between social capital and the epidemiological indicators of COVID-19. Methods: This survey is an ecological study, so all studied variables are aggregated.‌ To collect the variables in the study, a data set was provided, which included the information of each country based on the cumulative deaths, case fatality rate, recovery rate, and the number of performed COVID-19 tests. We drew scatter plots of the social capital for the studied countries based on COVID-19 indices. Results: In all the studied countries, ‌the highest cumulative incidence rate of COVID-19 cases was in Montenegro (60310.56 per million), while the lowest cumulative incidence rate of cases was in Tanzania (8.42 per million).‌ The highest and lowest cumulative incidence rate of death due to COVID-19 was in Belgium (1425.15 per million) and Burundi (0.08 per million), respectively. ‌Also, social capital has a significant direct correlation with the cumulative incidence rate of cases (r=0.42, P

Background: Given that COVID-19 spreads worldwide, it has become a public health priority. This study aims to investigate the correlation between social capital and the epidemiological indicators of COVID-19. Methods: This survey is an ecological study, so all studied variables are aggregated. To collect the variables in the study, a data set was provided, which included the information of each country based on the cumulative deaths, case fatality rate, recovery rate, and the number of performed COVID-19 tests. We drew scatter plots of the social capital for the studied countries based on COVID-19 indices. Results: In all the studied countries, the highest cumulative incidence rate of COVID-19 cases was in Montenegro (60310.56 per million), while the lowest cumulative incidence rate of cases was in Tanzania (8.42 per million). The highest and lowest cumulative incidence rate of death due to COVID-19 was in Belgium (1425.15 per million) and Burundi (0.08 per million), respectively. Also, social capital has a significant direct correlation with the cumulative incidence rate of cases (r=0.42, P<0.001), the cumulative incidence rate of death (r=0.31, P<0.001), and the number of performed COVID-19 diagnostic tests per million. Social capital was correlated with recovery and mortality rates (r= -0.21, P=0.007). Conclusion: Considering that social capital has a statistically significant relationship with the indices of case fatality and recovery rates, it is possible to increase social capital with appropriate interventions by relevant individuals and organizations to improve the pandemic management in different countries. [ABSTRACT FROM AUTHOR]

Introduction: Coronavirus is threatening the global public health as a new and widespread crisis. The researchers must keep in mind that one of the most vulnerable groups to COVID-19 are the people with underlying diseases, especially diabetes. Objective: This ecological study aimed to investigate the correlation between diabetes and the epidemiological indices of COVID-19. Methods: This ecological study included 144 countries. Their available data consists of the cumulative incidence rate of cases, cumulative incidence rate of death, recovery rate, case fatality rate, and performed tests of COVID-19, and diabetes. To collect the variables, a data set was provided which included the information of 144 countries based on diabetes and COVID-19 indices. Spearman coefficients were used for assess correlation between diabetes and COVID-19 indices. Also, Scatter plots of diabetes for the studied countries were drawn based on cumulative incidence rate of cases, cumulative incidence rate of death, tests, recovery rate, and case fatality rate of COVID-19. Results: The results of this ecological study showed in total countries, there was a weak positive correlation between diabetes and cumulative incidence rate of cases and also cumulative incidence rate of death. Correlation between diabetes with test of COVID-19 was very weak. Scatter plots showed a weak liner correlation between diabetes and cumulative incidence rate of cases, cumulative incidence rate of death and test of COVID-19. Conclusions: In this study, there was a weak positive correlation between diabetes and cumulative incidence rate of cases, cumulative incidence rate of death, and performed test of COVID-19. This disease is an enormous challenge for health policymakers; therefore, it is necessary to develop strategies and practical guidelines specific to each region to take the necessary care, especially for diabetic patients. [ABSTRACT FROM AUTHOR]

Abstract Background Given that COVID-19 continues to spread worldwide, attempts to restrain the virus and to prevent the effects that critically ill patients with COVID-19 have on healthcare systems, has become a public health priority. This ecological study aimed to investigate the correlation between the Human Development Index (HDI) and the epidemiological indicators of COVID-19, including the cumulative incidence rate of cases, the cumulative incidence rate of death, performed COVID-19 tests per million, recovery rate, and case fatality rate. Methods In this ecological study, a data set was provided, which included the epidemiologic indices of COVID-19, HDI, and its components for each country. Correlation coefficients were used to determine linear correlation. Also, the scatter plots of the HDI for the studied countries based on the epidemiologic indices of COVID-19 were drawn. Results This study showed that HDI and its components had positive correlation with a cumulative incidence rate of cases, the cumulative incidence rate of death, and performed COVID-19 tests (p

Abstract Background Union between second cousins and closer relatives is called consanguineous marriage. Consanguineous marriage is associated with increased risk of autosomal recessive diseases and several multifactorial traits. In order to evaluate the association between prevalence/mortality of COVID-19 and the frequency of consanguineous marriage, the present ecologic study was carried out. For the present study, data of prevalence (per 106 people) and mortality (per 106 people) and number of performed laboratory diagnostic test (per 106 people) of COVID-19 disease at four time points (December 2020; March, August and October 2021) of 65 countries were used. Results Univariable correlation and generalized estimating equation analysis were used. In analysis, prevalence and mortality of COVID-19 were used as dependent variables and human development index, number of performed diagnosis test and the mean of inbreeding coefficient (α-value) were introduced into model as covariates, and time point was used as a factor in analysis. The square root (SR) of prevalence (P = 0.008) and SR-mortality (P

This study aims to analyze the inter-provincial variation in the increase of attack rates in the third wave of the COVID-19 outbreak in Turkey and to determine their relationship with potential urban health indicators. In this ecological study, dependent variables were selected as the COVID-19 attack rates of provinces before the third wave and during the third peak and the attack rate increase ratio. Urban health indicators that can function as determinants of health were calculated for each province under five headings: demographic, health capacity, economic, environmental, and socio-cultural. The epidemiologic maps were produced to show the spatial distribution of COVID-19 attack rates pre- and during the third wave. The associations with urban indicators were conducted using bivariate analysis, including Pearson or Spearman correlation analysis. A multiple linear regression model was run with variables significantly associated with increased attack rates. The results of our study show significant regional variations in COVID-19 attack rates both at the beginning and during the third wave of the COVID-19 pandemic in Turkey. Among the provinces, the attack rate increase ratio has only shown significant correlations to education level and some economic indicators, such as income, employment, industrial activity measured by electric consumption, and economic activity in the manufacturing industry. The multivariate analysis determined that the indicator of economic activity in the manufacturing industry is related to the increase of the attack rate in the third wave. Our results show that the COVID-19 cases are higher in more developed cities with more manufacturing sector activity. It makes us think that it is mainly related to inequalities arising from access to health institutions and testing. It can be determined that the partly lockdown strategy, which excluded the industrial activity in the country, concluded the higher increase in the attack rates in highly industrialized provinces.

This global level ecological study aimed to investigate the correlation between environmental factors and the COVID-19 indices. This survey is an ecological study, so all studied variables are aggregate variables. To collect the variables in the study, a data set was provided, which includes the information of each country based on the cumulative deaths, case fatality rate, recovery rate, and the number of performed COVID-19 tests. Scatter plots of environmental factors for the studied countries were drawn based on cumulative incidence rate of cases, cumulative incidence rate of death, tests, recovery rate, and case fatality rate of COVID-19. Furthermore, Spearman correlation coefficient was also used to verify the correlation between environmental factors and indicators related to COVID-19. The results of this ecological study showed that among all countries surveyed, Montenegro (60,310.56 per million) and Luxembourg (54,807.89 per million) had the highest cumulative incidence rates of COVID-19 cases, when Tanzania (8.42 per million) and Vietnam (13.78 per million) had the lowest cumulative incidence rates of COVID-19. In addition, in this study, it was shown that the cumulative incidence rate of cases, the cumulative incidence rate of deaths, and performed COVID-19 tests had significant direct correlations with the access to drinking water and the access to sanitation services (p < 0.001). The findings of the present study showed an inverse correlation between the mortality rate due to unhealthy water consumption, poor health status, and a positive correlation between access to drinking water and health services with the cumulative incidence and mortality rates of COVID-19. The differences between our findings and many other studies could be due to the ecological nature of the study. Nevertheless, our findings will help health policymakers to develop timely strategies to reduce the mortality and incidence rate of COVID-19. [ABSTRACT FROM AUTHOR]

Abstract Background Oxidative stress is an important issue in coronavirus disease 2019 (COVID-19). Considering that glutathione S-transferase P1 (GSTP1) is involved in cellular detoxification, it may play an important role in susceptibility to infection with SARS-CoV-2 and/or its outcome. In the present study, the association between the Ile105Val GSTP1 polymorphism (rs1695) and susceptibility to SARS-CoV-2 infection, as well as its outcome was investigated. Data on the prevalence (per 106 people), case-fatality (per 100 infected cases), and mortality (per 106 people) of COVID-19 and various potential confounders (the life expectancy at birth, density of medical doctors, density of nursing and midwifery personnel, and the gross national income per capita) were used. The latest data available for 45 countries were used for the study. Results In multivariate linear regression analyses, the Val105 allelic frequency showed positive association with the log-prevalence (partial r = 0.308, p = 0.042) and log-mortality of COVID-19 (partial r = 0.316, p = 0.037). The log-fatality did not show association with the allelic frequency. In the next step, only countries with the gross national income per capita more than $15,000 were included in the analysis. In the selected countries, the frequency of Val105 was positively associated with the log-prevalence (partial r = 0.456, p = 0.009) and log-mortality of COVID-19 (partial r = 0.544, p = 0.001). Conclusions The present findings indicate that countries with higher Val105 allelic frequency of the rs1695 polymorphism showed higher prevalence and mortality of COVID-19.

Introduction: This study aimed to determine the hotspot areas for Cutaneous Leishmaniasis (CL) in Fasa city and assess the relations between the geographical factors with CL incidence using spatial analysis. Materials and Methods: This ecological study was conducted in Fasa city, data of the CL disease such as the total number of CL cases and the population at risk from 2009 to 2014. Weather conditions' data including the means of temperature, humidity, rainfall, sunny days, rainy days, and evaporation were collected from the weather forecast centers in Fars province. The disease cases' information such as the number of disease cases was collected from all healthcare centers located in Fasa City. Ordinary Least Square (OLS) and Global Moran’s Index (GMI) were used to assess the associations of the various environmental variables with CL incidence and to map clustering of CL cases across the region. Results: The cumulative incidence of CL was 16 per 10,000 populations during a six-year period. The results showed the southern area of Fasa as a hotspot area which is considered as hyperendemic foci for CL. OLS revealed a high incidence of CL in areas with maximum temperature, mean of temperature, mean of evaporation, sunny days and wind velocity. Conclusion: A spatial disease pattern was found in the present study. Hence, substantial consideration to environmental data leads to not only suitable protection against CL but also designing a suitable measure for the prevention and control of the disease.

Background In order to find out the factors associated with the large disparities in COVID-19 mortality rates by country, we conducted an ecological study by linking existing statistics. In Japan, a large variation was observed in between geographical areas when assessing mortality. We performed a regional correlation analysis to find factors related to regional mortality. Methods This study design was an ecologic study. A multiple regression analysis was performed with COVID-19 mortality rates of different countries as the dependent variable together with various health care and economic factors. We calculated the cumulative mortality rate as of June 30, 2020. For the regional correlation analysis of Japan, 47 prefectures were divided into nine regions. The factors examined were health care and tourism. Data for 33 Organization for Economic Cooperation and Development (OECD) countries were analyzed. In Japan's regional analysis, the whole country was classified into nine regions. Results Factors related to mortality were the incidence of Kawasaki disease (KD), number of computed tomographies (CTs), and alcohol consumption. Mortality was low in countries with high incidence of KD and high number of CTs, as well as in countries with high alcohol consumption. In European countries, high smoking prevalence and a high Gini coefficient were positively related to high mortality. According to a regional analysis in Japan, mortality was related to proportion of population in the densely inhabited districts, the number of foreign visitors per capita, and the number of Chinese visitors per capita. Conclusion Low mortality in East Asia was associated with specific disease morbidity (KD), alcohol consumption, and CT numbers. It was suggested that the mortality gap in Japan was related to the number of foreign tourists and the proportion of population in the densely inhabited districts. [ABSTRACT FROM AUTHOR]

Background: To identify geographical clusters of suicide in São Paulo, Brazil (2006–2015) and to verify the associations of suicide with sociocultural characteristics of its 96 districts. Methods: Spatial scan test was used to detect the geographical clusters. Correlation and multiple regression techniques were used to estimate the association of socioeconomic and cultural variables with suicide. Results: The mean suicide rate was 4.8/100,000. Three clusters were identified which are as follows: one of increased risk in downtown and two of decreased risk in the South and in the Southeast. The mean suicide rate of the high-risk clustered districts (7.99/100,000) presented significantly higher average incomes per household, higher proportion of formally educated, of no religious affiliation, of recent migrants, of all-times migrants and lower proportion of married. The multiple model selected two independent risk factors – people with no religious affiliation (β = 0.182) and of recent migrants (β = 0.278) – and two protective factors – the proportion of married (β = –0.185) and of total migrants (β = –0.075), which jointly explained 58.4% of the variance. Conclusion: Durkheimian social and cultural risk factors for suicide were confirmed. Compared to a previous study period (1996–2005), suicide rates and geographical clusters remained relatively stable in the subsequent decade (2006–2015). [ABSTRACT FROM AUTHOR]

The Health Insurance Portability and Accountability Act of 1996 requires Notices of Privacy Practices (NPP) in plain (clear, concise, and easily understood) language. The objectives of this study were to test the readability of U.S. dental school NPPs; examine factors relating to readability; and develop a plain language NPP supplement. Readability statistics were Flesch Reading Ease (FRE) and Flesch-Kincaid Grade Level (FKGL). Social capital measures of potential resources available to people in a civil society (e.g., perceived trust, perceived reciprocity, and per capita voluntary organization membership) along with lawyers per capita for each state were examined for potential relationships with readability levels. One-sample t-tests assessed plain language (FRE=60, FKGL=8), and analyses of variance compared groups. Spearman rank correlations (r(s)) compared social capital to readability. A plain language NPP supplement was developed. All fifty-six U.S. dental school NPPs were obtained (100 percent response). Forty-eight of fifty-six schools (86 percent) had website NPPs. FRE and FKGL were significantly more complex than plain language, overall (both p

Even though the impact of COVID-19 in metropolitan areas has been extensively studied, the geographic spread to smaller cities is also of great concern. We conducted an ecological study aimed at identifying predictors of early introduction, incidence rates of COVID-19 and mortality (up to 8 May 2020) among 604 municipalities in inner São Paulo State, Brazil. Socio-demographic indexes, road distance to the state capital and a classification of regional relevance were included in predictive models for time to COVID-19 introduction (Cox regression), incidence and mortality rates (zero-inflated binomial negative regression). In multivariable analyses, greater demographic density and higher classification of regional relevance were associated with both early introduction and increased rates of COVID-19 incidence and mortality. Other predictive factors varied, but distance from the State Capital (São Paulo City) was negatively associated with time-to-introduction and with incidence rates of COVID-19. Our results reinforce the hypothesis of two patterns of geographical spread of SARS-Cov-2 infection: one that is spatial (from the metropolitan area into the inner state) and another which is hierarchical (from urban centres of regional relevance to smaller and less connected municipalities). Those findings may apply to other settings, especially in developing and highly heterogeneous countries, and point to a potential benefit from strengthening non-pharmaceutical control strategies in areas of greater risk. [ABSTRACT FROM AUTHOR]

The rabies virus causes progressive encephalomyelitis that is fatal in nearly 100% of untreated cases. In the United States, wildlife act as the primary reservoir for rabies; prevention, surveillance, and control costs remain high. The purpose of this study is to understand the current distribution of wildlife rabies in three southeastern states, with particular focus on raccoons as the primary eastern reservoir, as well as identify demographic and geographic factors which may affect the risk of human exposure. This ecologic study obtained county-level rabies surveillance data from state health departments and the United States Department of Agriculture Wildlife services for North Carolina, Virginia, and West Virginia from 2010 to 2013. A spatial statistical analysis was performed to identify county clusters with high or low rates of raccoon rabies in the three states. Potential demographic and geographic factors associated with these varying rates of rabies were assessed using a multivariable negative binomial regression model. In North Carolina, raccoons constituted 50% of positive tests, in Virginia, 49%, and in West Virginia, 50%. Compared to persons residing in West Virginia counties, persons in North Carolina counties had 1.67 times the risk of exposure ( p < 0.0001) to a rabid raccoon and those in Virginia counties had 1.82 times the risk of exposure ( p < 0.0001) to a rabid raccoon. Compared to those counties where farmland makes up less than 17% of the total area, persons residing in counties with 17-28% farmland had a 32% increased risk of exposure to a rabid raccoon. In counties with 28-39% farmland, there was an 84% increased risk of exposure. State, rurality, and percent of area designated as farmland were the best predictors of risk of raccoon rabies exposure. Further research is needed to better understand the effect of the oral rabies vaccine program in controlling the risk of human exposure to raccoon rabies. [ABSTRACT FROM AUTHOR]

Background Pollen exposure has acute adverse effects on sensitized individuals. Information on the prevalence of respiratory diseases in areas with different pollen concentrations is scanty. Aim We performed an ecologic analysis to assess whether the prevalence of allergic rhinitis and asthma in young adults varied across areas with different pollen concentrations in Italy. Methods A questionnaire on respiratory diseases was delivered to random samples of 20–44 year-old subjects from six centers in 2005–2010. Data on the daily air concentrations of 7 major allergologic pollens ( Poaceae , Urticaceae , Oleaceae , Cupressaceae , Coryloideae , Betula and Ambrosia ) were collected for 2007–2008. Center-specific pollen exposure indicators were calculated, including the average number of days per year with pollens above the low or high concentration thresholds defined by the Italian Association of Aerobiology. Associations between pollen exposure and disease prevalence, adjusted for potential confounders, were estimated using logistic regression models with center as a random-intercept. Results Overall, 8834 subjects (56.8%) filled in the questionnaire. Allergic rhinitis was significantly less frequent in the centers with longer periods with high concentrations of at least one (OR per 10 days = 0.989, 95%CI: 0.979–0.999) or at least two pollens (OR = 0.974, 95%CI: 0.951–0.998); associations with the number of days with at least one (OR = 0.988, 95%CI: 0.972–1.004) or at least two (OR = 0.985, 95%CI: 0.970–1.001) pollens above the low thresholds were borderline significant. Asthma prevalence was not associated with pollen concentrations. Conclusions Our study does not support that the prevalence of allergic rhinitis and asthma is greater in centers with higher pollen concentrations. It is not clear whether the observed ecologic associations hold at the individual level. [ABSTRACT FROM AUTHOR]

Background : Maternal mortality (MM) is an avoidable death and there is national, international and political commitment to reduce it. The objective of this study is to examine the relation of MM to socioeconomic factors and its inequality in Iran′s provinces at an ecologic level. Methods : The overall MM from each province was considered for 3 years from 2004 to 2006. The five independent variables whose relations were studied included the literacy rate among men and women in each province, mean annual household income per capita, Gini coefficients in each province, and Human Development Index (HDI). The correlation of Maternal Mortality Ratio (MMR) to the above five variables was evaluated through Pearson′s correlation coefficient (simple and weighted for each province′s population) and linear regression-by considering MMR as the dependent variable and the Gini coefficient, HDI, and difference in literacy rate among men and women as the independent variables. Results: The mean MMR in the years 2004-2006 was 24.7 in 100,000 live births. The correlation coefficients between MMR and literacy rate among women, literacy rate among men, the mean annual household income per capita, Gini coefficient and HDI were 0.82, 0.90, −0.61, 0.52 and −0.77, respectively. Based on multivariate regression, MMR was significantly associated with HDI (standardized B=−0.93) and difference in literacy rate among men and women (standardized B=−0.47). However, MMR was not significantly associated with the Gini coefficient. Conclusion: This study shows the association between socioeconomic variables and their inequalities with MMR in Iran′s provinces at an ecologic level. In addition to the other direct interventions performed to reduce MM, it seems essential to especially focus on more distal factors influencing MMR.

Consanguineous marriage which defines as a union between biologically related persons has a variety of known deleterious correlations with factors that affect public health within human populations. To investigate the association between mean of inbreeding coefficient (a) and incidence of leukemia, the present ecological study on 67 countries was carried out. Statistical analysis showed that the age-standardized incidence rate of leukemia positively correlated with log10GNI per capita (r=0.693, df=65, P0.05). The present finding indicating that the age-standardized for incidence rate of leukemia is lower in countries with high prevalence of consanguineous marriages.

Background: Stunting prevalence in children less than 5 years has remained stagnated in Peru from 1992 to 2007, with a rapid reduction thereafter. We aimed to assess the role of different predictors on stunting reduction over time and across departments, from 2000 to 2012.Methods: We used various secondary data sources to describe time trends of stunting and of possible predictors that included distal to proximal determinants. We determined a ranking of departments by annual change of stunting and of different predictors. To account for variation over time and across departments, we used an ecological hierarchical approach based on a multilevel mixed-effects regression model, considering stunting as the outcome. Our unit of analysis was one department-year.Results: Stunting followed a decreasing trend in all departments, with differing slopes. The reduction pace was higher from 2007-2008 onwards. The departments with the highest annual stunting reduction were Cusco (-2.31%), Amazonas (-1.57%), Puno (-1.54%), Huanuco (-1.52%), and Ancash (-1.44). Those with the lowest reduction were Ica (-0.67%), Ucayali (-0.64%), Tumbes (-0.45%), Lima (-0.37%), and Tacna (-0.31%). Amazon and Andean departments, with the highest baseline poverty rates and concentrating the highest rural populations, showed the highest stunting reduction. In the multilevel analysis, when accounting for confounding, social determinants seemed to be the most important factors influencing annual stunting reduction, with significant variation between departments.Conclusions: Stunting reduction may be explained by the adoption of anti-poverty policies and sustained implementation of equitable crosscutting interventions, with focus on poorest areas. Inclusion of quality indicators for reproductive, maternal, neonatal and child health interventions may enable further analyses to show the influence of these factors. After a long stagnation period, Peru reduced dramatically its national and departmental stunting prevalence, thanks to a combination of social determinants and crosscutting factors. This experience offers useful lessons to other countries trying to improve their children's nutrition. [ABSTRACT FROM AUTHOR]

In Europe, antimicrobial resistance has been monitored since 1998 by the European Antimicrobial Resistance Surveillance System (EARSS). We examined the relationship between penicillin nonsusceptibility of invasive isolates of Streptococcus pneumoniae (an indicator organism) and antibiotic sales. Information was collected on 1998-99 resistance data for invasive isolates of S. pneumoniae to penicillin, based on surveillance data from EARSS and on outpatient sales during 1997 for beta-lactam antibiotics and macrolides. Our results show that in Europe antimicrobial resistance is correlated with use of beta-lactam antibiotics and macrolides.

Guns shows are estimated to account for 4-9% of firearm sales in the US. Increased regulation of firearm sales at gun shows has been proposed as one approach to reducing firearm injury rates. This study evaluated the association between gun shows and local firearm injury rates. Data regarding the date and location of gun shows from 2017 to 2019 were abstracted from the Big Show Journal. Firearm injury rates were estimated using discharges from trauma centers serving counties within a 25-mile radius of each gun show. Clinical data were derived from the National Trauma Databank (NTDB). We used Poisson regression modeling to adjust for potential confounders including seasonality. We evaluated injury rates before and after 259 gun shows in 23 US locations using firearm injury data from 36 trauma centers. There were 1513 hospitalizations for firearm injuries pre-gun show and 1526 post-gun show. The adjusted mean 2-week rate of all-cause firearm injury per 1,000,000 person-years was 1.79 (1.16-2.76) before and 1.82 (1.18-2.83) after a gun show, with an incident rate ratio of 1.02 (0.94, 1.08). The adjusted mean 2-week rate did not vary significantly by intent after a gun show, (p = 0.24). Within two weeks after a gun show, rates of hospitalization for all-cause firearm injury do not increase significantly within the surrounding communities. The relatively small increase in available firearms after a show and the short time horizon evaluated may account for the absence of an association between gun show firearm sales and local firearm injury rates. [ABSTRACT FROM AUTHOR]

Abstract: Purpose: Wildland fires present many injury hazards to firefighters. We estimate injury rates and identify fire-related factors associated with injury. Methods: Data from the National Interagency Fire Center from 2003 to 2007 provided the number of injuries in which the firefighter could not return to his or her job assignment, person-days worked, and fire characteristics (year, region, season, cause, fuel type, resistance to control, and structures destroyed). We assessed fire-level risk factors of having at least one reported injury using logistic regression. Negative binomial regression was used to examine incidence rate ratios associated with fire-level risk factors. Results: Of 867 fires, 9.5% required the most complex management and 24.7% required the next-highest level of management. Fires most often occurred in the western United States (82.8%), during the summer (69.6%), caused by lightening (54.9%). Timber was the most frequent fuel source (40.2%). Peak incident management level, person-days of exposure, and the fire''s resistance to control were significantly related to the odds of a fire having at least one reported injury. However, the most complex fires had a lower injury incidence rate than less complex fires. Conclusions: Although fire complexity and the number of firefighters were associated with the risk for at least one reported injury, the more experienced and specialized firefighting teams had lower injury incidence. [Copyright &y& Elsevier]

Abstract: The US Food and Drug Administration is assessing whether menthol should be banned as an additive to cigarettes. An important part of this determination concerns the health effects of mentholated relative to non-mentholated cigarettes. We examined the ecologic association between sales of mentholated cigarettes for the period 1950–2007, menthol preference by race and sex, and incidence rates of four tobacco-related cancers during 1973–2007. Total sales of mentholated cigarettes (market share) increased from about 3% in 1950 to slightly less than 30% in 1980 and remained fairly stable thereafter. Additional data show consistently that, compared to White smokers, Black smokers favor mentholated cigarettes by roughly a 3-fold margin. Differences in the incidence of lung cancer, squamous cell cancer of the esophagus, oropharyngeal cancer, and laryngeal cancer by race and sex and trends over a 35-year period, during which menthol sales were relatively stable and during which Black smokers were much more likely to smoke mentholated cigarettes compared to Whites, are not consistent with a large contribution of menthol, over and above the effect of smoking per se. [Copyright &y& Elsevier]

Abstract: Environmental links to disease are difficult to uncover because environmental exposures are variable in time and space, contaminants occur in complex mixtures, and many diseases have a long time delay between exposure and onset. Furthermore, individuals in a population have different activity patterns (e.g., hobbies, jobs, and interests), and different genetic susceptibilities to disease. As such, there are many potential confounding factors to obscure the reasons that one individual gets sick and another remains healthy. An important method for deducing environmental associations with disease outbreak is the retrospective case–control study wherein the affected and control subject cohorts are studied to see what is different about their previous exposure history. Despite success with infectious diseases (e.g., food poisoning, and flu), case–control studies of cancer clusters rarely have an unambiguous outcome. This is attributed to the complexity of disease progression and the long-term latency between exposure and disease onset. In this article, we consider strategies for investigating cancer clusters and make some observations for improving statistical power through broader non-parametric approaches wherein sub-populations (i.e., whole towns), rather than individuals, are treated as the cases and controls, and the associated cancer rates are treated as the dependent variable. We subsequently present some ecological data for tungsten and cobalt from studies by University of Arizona researchers who document elevated levels of tungsten and cobalt in Fallon, NV. These results serve as candidates for future hybrid ecologic case–control investigations of childhood leukemia clusters. [Copyright &y& Elsevier]

Background: Maternal mortality (MM) is an avoidable death and there is national, international and political commitment to reduce it. The objective of this study is to examine the relation of MM to socioeconomic factors and its inequality in Iran's provinces at an ecologic level. Methods: The overall MM from each province was considered for 3 years from 2004 to 2006. The five independent variables whose relations were studied included the literacy rate among men and women in each province, mean annual household income per capita, Gini coefficients in each province, and Human Development Index (HDI). The correlation of Maternal Mortality Ratio (MMR) to the above five variables was evaluated through Pearson's correlation coefficient (simple and weighted for each province's population) and linear regression - by considering MMR as the dependent variable and the Gini coefficient, HDI, and difference in literacy rate among men and women as the independent variables. Results: The mean MMR in the years 2004-2006 was 24.7 in 100,000 live births. The correlation coefficients between MMR and literacy rate among women, literacy rate among men, the mean annual household income per capita, Gini coefficient and HDI were 0.82, 0.90, -0.61, 0.52 and -0.77, respectively. Based on multivariate regression, MMR was significantly associated with HDI (standardized B=-0.93) and difference in literacy rate among men and women (standardized B=-0.47). However, MMR was not significantly associated with the Gini coefficient. Conclusion: This study shows the association between socioeconomic variables and their inequalities with MMR in Iran's provinces at an ecologic level. In addition to the other direct interventions performed to reduce MM, it seems essential to especially focus on more distal factors influencing MMR. [ABSTRACT FROM AUTHOR]

Objective: To analyze secular trends of coronary heart disease morbidity and mortality in Mexicans protected by the Mexican Institute of Social Security. Methods: An ecological trend analysis study was conducted on coronary heart disease mor- bidity and mortality in the Mexican population protected by the Institute. All deaths were adjusted for miscoding and misclassification and rates were age-adjusted according to the age distribution proposed by the World Health Organization. Hospital discharges, as well as the number of patients seeking medical care for coronary heart disease, were analyzed as an indirect incidence measure. Fatality rates and the mean number of hospitalization days were also estimated. Results: Coronary heart disease mortality has shown a stable trend at the end of last century and a descending trend in the first years of this century, both in males (r= -0.84; r²=0.70; p <0.001) as in females (r = -0.76; r² =0.57; p <0.001). There is an age-effect on mortality; mortality is higher in males, mainly at younger ages (male-female rate = 3.44). Fatality rates have progressively decreased and the mean age of death has increased by four years in the last two decades. Conclusions: The stable trend and later descent on coronary heart disease mortality may be best explained by an increase in the quality of health care and secondary prevention. Nevertheless, there is a need to strengthen primary prevention by modifying exposure to major cardiovascular risk factors in Mexicans. [ABSTRACT FROM AUTHOR]

In addition to individual-based prevention strategies, the burden of oral cancer could be decreased by controlling its national level determinants. Population-based studies have found smoking, drinking, and wealth to be associated with oral cancer incidence and mortality rates. However, these studies merely reported trends, or did not account for confounders or for intercorrelation between predictor variables. This ecologic study sought to investigate oral cancer determinants at the country level. The male, age-standardized mortality rate was the dependent variable. The explanatory variables, obtained from reliable international agencies, were life expectancy, frequency of physicians, gross national product (GNP), expenditure on health, literacy rate, human immunodeficiency virus (HIV) prevalence, smoking prevalence, alcohol drinking prevalence, drinking modality, average daily calorie consumption, and average calorie intake from fruit and vegetables. Common factor analysis was used to generate a new dimension that incorporated all of the strongly intercorrelated variables. These were life expectancy, physician frequency, GNP, expenditure on health, literacy rate, calorie consumption, smoking prevalence, and drinking modality. According to this dimension, arbitrarily called the country development level (CDL), countries were split into quartiles. The ecologic risk for high mortality from oral cancer, estimated using logistic regression analysis, was three to five times higher among the second, third, and fourth CDL quartiles than among the first CDL quartile, which included the highest-income countries. HIV, drinking prevalence, and fruit and vegetable intake did not affect significantly mortality. These results suggest that it might be possible to improve oral cancer mortality by modifying country-based determinants related to aberrant lifestyles (not only smoking and drinking prevalence) and improving healthcare system efficiency, approximately estimated by CDL, as well as general socioeconomic and cultural conditions. [ABSTRACT FROM AUTHOR]

Objective To determine factors contributing to state infant mortality rates (IMR) and develop an adjusted IMR in the United States for 2001 and 2002. Design/Methods Ecologic study of factors contributing to state IMR. State IMR for 2001 and 2002 were obtained from the United States linked death and birth certificate data from the National Center for Health Statistics. Factors investigated using multivariable linear regression included state racial demographics, ethnicity, state population, median income, education, teen birth rate, proportion of obesity, smoking during pregnancy, diabetes, hypertension, cesarean delivery, prenatal care, health insurance, self-report of mental illness, and number of in-vitro fertilization procedures. Final risk adjusted IMR’s were standardized and states were compared with the United States adjusted rates. Results Models for IMR in individual states in 2001 ( r2 = 0.66, P < 0.01) and 2002 ( r2 = 0.81, P < 0.01) were tested. African-American race, teen birth rate, and smoking during pregnancy remained independently associated with state infant mortality rates for 2001 and 2002. Ninety five percent confidence intervals (CI) were calculated around the regression lines to model the expected IMR. After adjustment, some states maintained a consistent IMR; for instance, Vermont and New Hampshire remained low, while Delaware and Louisiana remained high. However, other states such as Mississippi, which have traditionally high infant mortality rates, remained within the expected 95% CI for IMR after adjustment indicating confounding affected the initial unadjusted rates. Conclusions Non-modifiable demographic variables, including the percentage of non-Hispanic African-American and Hispanic populations of the state are major factors contributing to individual variation in state IMR. Race and ethnicity may confound or modify the IMR in states that shifted inside or outside the 95% CI following adjustment. Other factors including smoking during pregnancy and teen birth rate, which are potentially modifiable, significantly contributed to differences in state IMR. State risk adjusted IMR indicate that other factors impact infant mortality after adjustment by race/ethnicity and other risk factors. [ABSTRACT FROM AUTHOR]

Abstract: We conducted an ecologic analysis of the relation between women''s status and child well-being in the 50 United States. State-level women''s status was assessed via four composite indices: women''s political participation, economic autonomy, employment and earnings, and reproductive rights. Child well-being was measured via five outcomes: percentage of low birthweight babies, infant mortality, teen mortality, high school dropout rate, and teen birth rate. Higher state-level women''s status on all indicators was associated with significantly better state-level child well-being in unadjusted analyses. Several associations remained significant after adjusting for income inequality and state racial composition. Women''s political participation was associated with a significantly lower percentage of low birthweight babies () and lower teen birth rates (). Women''s employment and earnings was associated with lower infant mortality () and teen birth rates (). More economic and social autonomy for women was associated with better child outcomes on all measures ( all). Greater reproductive rights were associated with significantly lower infant mortality (). We conclude that child well-being is worse in states where women have lower political, economic, and social status. Women''s status is an important aspect of children''s social context which may impact their well-being. Multi-level analyses of the association between state-level women''s status and child well-being are needed. [Copyright &y& Elsevier]

The author compares his life with professor Alwyn Smith in Great Britain. He relates that his father worked at Sunbeam Motor Cycle Co. where Smith started his career as engineering draughtsman. He cites that Professor Thomas McKeown, chair of Social Medicine and a colleague of Smith at a Birmingham, England medical school, offered him a research fellowship for Downs Syndrome. He mentions that Smith was selected as president of the Faculty of Public Health Medicine (FPHM) in 1981.

PURPOSE To investigate the socioeconomic factors associated with blindness registration in Canada and its regions using an ecologic approach. METHODS Canadian National Institute for the Blind (CNIB) blindness registration data for 1996 were divided into units of analysis using postal codes and correlated with demographic and socioeconomic information collected by the 1996 Census of Canada. A total of 1250 units were analyzed representing 28,429,519 persons (98.55% of the population of Canada). Six socioeconomic factors were examined using weighted linear multivariate regression analysis: 1) Percentage of the population aged 65 years and over; 2) Median household income; 3) Percentage of the population with university education; 4) Percentage of income derived from government transfer payments; 5) Recent immigrants; and 6) Visible minorities (blacks, Chinese, South Asians). Regression models were created for Canada as well as five geographic regions within Canada. RESULTS For Canada as a whole, blindness registration prevalence was positively correlated with age distribution and percentage of recent immigrants, and negatively correlated with level of government assistance income and percentage ethnic Chinese population. For five regional regression models, the common predictor variables were age distribution, median household income and percentage of the population who are black. None of the regional models produced an identical set of correlations. CONCLUSIONS Socioeconomic factors associated with blindness registration prevalence varied across different regions. Median household income was the second most common factor after age distribution, suggesting that areas with lower incomes tend to utilize more blind services. Higher blindness registration rates were associated with areas that had a higher percentage of the population who were black. Differences in blindness registration rates may reflect under-utilization of blind services and/or variations in disease and treatment rates in different populations. [ABSTRACT FROM AUTHOR]

In a population-based cross-sectional study, we compared serum levels of 15 polychlorinated biphenyl (PCB) congeners and three organochlorine pesticides in residents of two districts in eastern Slovakia, one with extensive environmental contamination from a former PCB production site (Michalovce) and the other matched on geography but with low (background) levels (Svidnik). The age-adjusted geometric means for sum of 15 measured PCB congeners were statistically significantly higher in subjects from the Michalovce district for both sexes: 3327.6 versus 1331.4 ng/g of lipid in males, 2751.8 versus 992.2 ng/g of lipid in females. Levels of DDE and DDT were also significantly higher, although the absolute differences were less pronounced. There was no substantial difference in HCB levels between the districts.We also conducted an ecologic study to compare cancer incidence occurring in these same two districts from 1985 through 1994. We calculated standardized incidence ratios (SIRs) and 95% confidence intervals for each district using indirect standardization and rates from eastern Slovakia. Among males from Michalovce (exposed), but not Svidnik (unexposed), there was an excess of cancer of the tongue (SIR=1.46; 1.06–1.96), stomach (SIR=1.15; 1.00–1.32), lung (SIR=1.14; 1.04–1.24), testis (SIR=1.40; 0.97–1.97), and kidney (SIR=1.23; 0.98–1.52), and lower than expected incidence of prostate cancer (SIR=0.83; 0.69–0.97); in contrast, there was an excess of peritoneal (SIR=3.05; 1.11–6.63) and laryngeal cancer (SIR=1.43; 0.99–1.98) in Svidnik not observed Michalovce. Among females from Michalovce, but not Svidnik, there was an excess of cancer of the lip (SIR=2.54; 1.53–3.96), stomach (SIR=1.22; 1.02–1.44), and lung (SIR=1.17; 0.94–1.45); in contrast, there was an excess of kidney (SIR=1.61; 1.03–2.40) and thyroid (SIR=1.97; 1.12–3.20) cancer in Svidnik not observed in Michalovce.Taken together, these results raise the possibility that high environmental exposure to organochlorines in the Michalovce district may be associated with higher rates of certain cancers, particularly stomach and lung cancer. [Copyright &y& Elsevier]

Summary. A systematic evaluation of published studies was undertaken to identify factors associated with accelerated fibrosis progression in patients with chronic hepatitis C virus (HCV) infection. An ecologic analysis was used to estimate relative risk (RR) of cirrhosis across four study methodologies: liver clinic series, post-transfusion cohorts, community-based studies and blood donor series. In each study category, the following factors were independently associated with disease progression: male sex (RR = 1.08); heavy alcohol consumption (RR = 1.61); elevated serum ALT levels (RR = 1.23) and histology demonstrating high-grade necro-inflammatory activity. After adjusting for these cofactors, older age at HCV infection and acquisition of HCV through blood transfusion were not implicated in influencing disease outcome. Although not able to be examined in this study,co-infection with HIV, and to a lesser extent HBV, is also likely to result in worse outcomes for patients with chronic HCV infection. Virological factors such as HCV genotype, viral load and quasispecies diversity are less likely to be important. A Weibull distribution was used to model disease progression at a population level. The influence of cofactors on individual prognosis was examined and an algorithm to predict the risk of subsequently developing cirrhosis is presented. [ABSTRACT FROM AUTHOR]

Elevated levels of water hardness have been associated with reduced mortality from cardiovascular and cerebrovascular diseases. In this ecologic study the relationship between water hardness and cerebrovascular mortality in the 44 municipalities of Osaka Prefecture, Japan were examined. Researchers were unable to substantiate an inverse association of water hardness with cerebrovascular mortality. In addition, the difference between sexes was not significant. Water hardness did not protect against cerebrovascular mortality.