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Epidemiology is often described as “the basic science of public health” (Savitz, Poole & Miller, 1999; Syme & Yen, 2000). This description suggests both a close association with public health practice, and the separation of “pure” scientific knowledge from its application in the messy social world. Although the attainability of absolute objectivity is rarely claimed, epidemiologists are routinely encouraged to “persist in their efforts to substitute evidence for faith in scientific reasoning” (Stolley, 1985, p. 38) and reminded that “public health decision makers gain little from impassioned scholars who go beyond advancing and explaining the science to promoting a specific public health agenda” (Savitz et al., 1999, p. 1160). Epidemiology produces authoritative data that are transformed into evidence which informs public health. Those data are authoritative because epidemiology is regarded as a neutral scientific enterprise. Because its claims are grounded in science, epidemiological knowledge is deemed to have “a special technical status and hence is not contestable in the same way as are say, religion or ethics” (Lock, 1988, p. 6). Despite the veneer of universality afforded by its scientific pedigree, epidemiology is not a static or monolithic discipline. Epidemiological truth claims are embodied in several shifting paradigms that span the life of the discipline. Public health knowledges and practices, competing claims internal and external to epidemiology, and structural conditions (such as current political economies, material technologies, and institutions) provide important contexts in which certain kinds of epidemiological knowledge are more likely to emerge.

Describes a study to measure the quality of service provided by food‐poisoning surveillance agencies in England and Wales in terms of the requirements of a representative consumer ‐ the egg producing industry ‐ adopting “egg associated” outbreak investigation reports as the reference output. Defines and makes use of four primary performance indicators: accessibility of information; completeness of evidence supplied in food‐poisoning outbreak investigation reports as to the sources of infection in “egg‐associated” outbreaks; timeliness of information published; and utility of information and advice aimed at preventing or controlling food poisoning. Finds that quality expectations in each parameter measured are not met. Examines reasons why surveillance agencies have not delivered the quality demanded. Makes use of detailed case studies to illustrate inadequacies of current practice. Attributes failure to deliver “accessibility” to a lack of recognition on the status or nature of “consumers”, combined with a self‐maintenance motivation of the part of the surveillance agencies. Finds that failures to deliver “completeness” and “utility” may result from the same defects which give rise to the lack of “accessibility” in that, failing to recognize the consumers of a public service for what they are, the agencies feel no need to provide them with the data they require. The research indicates that self‐maintenance by scientific epidemiologists may introduce biases which when combined with a politically inspired need to transfer responsibility for food‐poisoning outbreaks, skew the conduct of investigations and their conclusions. Contends that this is compounded by serious and multiple inadequacies in the conduct of investigations, arising at least in part from the lack of training and relative inexperience of investigators, the whole conditioned by interdisciplinary rivalry between the professional groups staffing the different agencies. Finds that in addition failures to exploit or develop epidemiological technologies has affected the ability of investigators to resolve the uncertainties identified. Makes recommendations directed at improving the performance of the surveillance agencies which, if adopted will substantially enhance food poisoning control efforts.

Blacks are more likely than white, in the United States, to experience a stillbirth. In this study, I use a structural perspective of race to create a heuristic model that combines medical and social epidemiological explanations to understand the racial disparity in stillbirths. Using data from the National Maternal and Infant Health Survey 1988 (NMIHS), I examine whether racial disparities in stillbirths can be explained by medical and social epidemiological variables. My findings show that medical and social epidemiological explanations do little to reduce the racial disparity. However, many medical model variables were important predictors of stillbirths including multiple gestations, being overweight, obesity, vaginal bleeding, advanced maternal age, and parity.

Purpose – This chapter explores the changing definition of bipolar disorder, examining how debates within psychiatry actually construct the definition of mental illness, thereby creating the appearance of an emerging epidemic with increasing prevalence.

Method – I review the recent psychiatric and epidemiological research to reveal that the intellectual and scientific debates that occur in the psychological laboratory and in survey research are in fact falsely increasing the figures that show that an epidemic of bipolar is emerging.

Findings – For centuries, bipolar disorder was equated with severe psychosis and had a prevalence rate between 0.4% and 1.6%. As spectrum and subthreshold conceptions of bipolar disorder become established in official psychiatric diagnostic manuals, however, estimates of the prevalence of bipolar spectrum disorders have risen to almost 25%. I demonstrate that nearly all of this increase is a result of changes in the scientific and intellectual definition of bipolar disorders among psychiatric professionals, and that rates of symptoms are not in fact increasing.

Contribution to field – The arbitrariness of diagnostic thresholds naturally leads researchers to argue for lower thresholds. This allows more individuals who were previously considered psychiatrically normal to be reclassified as psychiatrically disordered. Lowering diagnostic thresholds increases the risk of confusing normal elation or sadness with disordered states, increasing the potential of false-positive diagnoses and the false impression of rising rates of disorder.

The authors model heterogeneity of inflation expectations across Indian households using the Inflation Expectations Survey of Households data set. Using Carroll-type epidemiological models and pooled cross sectional analyses, the authors find that women, homemakers, older people and Tier 2 and 3 city dwellers tend to have higher inflation expectations compared to their counterparts. In the epidemiological model-based analysis, these very cohorts display higher speed of adjustment to news. Overall higher relative adjustment speeds point to the significance of central bank communications.

The study aims to help epidemiologists identify new patterns and trends in spreading infections on the example of the current coronavirus disease 2019 (COVID-19) pandemic using data from search engines. The study identified the types of thematic search of Russian Internet users and queries that have a mathematically confirmed correlation with public health indicators: mortality and morbidity from COVID-19. The study aims to determine digital epidemiology search trends to the current COVID-19 pandemic. The study identified the types of thematic search of RuNet users and queries that have a mathematically confirmed correlation with public health indicators: mortality and morbidity from COVID-19.

The authors explored two types of data: (1) the monthly datasets of keywords relevant to COVID-19 extracted from the Yandex search engine and (2) officially published statistics data. Alongside, the authors searched for associations between all variables in this dataset. The Benjamin–Hochberg correction for multiple hypothesis testing was applied to the obtained results to improve the reliability of the results. The authors built a unique website with opportunities to update datasets and designed dashboards to visualize the research outcomes using PHP and Python.

The research results show the number of significant relationships that the authors interpreted in epidemiology as a new instrument in Public Health research. There are 132 data combinations with a correlation higher than 75%, making it possible to determine a mathematically reliable relationship between search statistics trends and mortality/morbidity indicators. The most statistically significant effects identified in bundles “query” – “query”, “query” – “morbidity”, “query” – “mortality”.

The authors developed a new approach in analyzing outbreaks of infections and their consequences based on a comprehensive analysis of epidemiological and infodemic data. The research results are relevant to public health as other decision-making and situational analysis tools for citizens and specialists who want to receive additional confirmation for the indicators of the official statistics of the headquarters for control and monitoring of the situation with coronavirus and others infections.

This review aims to evaluate and review literature published in the area of rising concerns that red meat consumption may be associated with risk of type 2 diabetes mellitus (T2DM), although there have been discrepancies between study findings, and put the findings into context.

Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic literature review was undertaken to locate and summarise relevant studies which included epidemiological and clinical studies published between 2004 and 2014.

A total of 23 studies were found, with 21 epidemiological and two clinical studies meeting the criteria. Overall, the totality of the evidence indicates that while processed meat consumption appears to be associated with T2DM risk, the effect is much weaker for red meat, with some associations attenuated after controlling for body weight parameters. Where studies have considered high intakes in relation to T2DM risk, meat intake has tended to exceed 600 g per week. Therefore, keeping red meat intakes within recommended guidelines of no more than 500 g per week, while opting for lean cuts or trimming fat, would seem to be an evidence-based response.

The majority of studies conducted to date have been observational cohorts which cannot determine cause and effect. Most of these used food frequency questionnaires which are known to be subject to misclassification errors (Brown, 2006). Clearly, more randomised controlled trials are needed to establish whether red meat consumption impacts on markers of glucose control. Until then, conclusions can only be viewed as speculative.

This paper provides an up-to-date systematic review of the literature, looking at inter-relationships between red meat consumption and T2DM risk.

The purpose of this paper is to explore and review the range and quality of international epidemiological and observational studies reporting impacts of psychiatric disorders on labour force activity. This information is needed to explore the relative priority of different diagnostic groups for more intensive forms of vocational rehabilitation.

The authors provide an overview of the current literature. A systematic review of papers measuring labour force variables and psychiatric disorders across a range of countries is conducted. These results are compared to OECD background unemployment rates during the same period. The results for each diagnostic category included are aggregated and compared to the other diagnostic categories.

The proportions of people employed decreased with the more severe disorder categories, indicating that severe psychiatric illnesses are contributing to employment struggles for people with these illnesses, across countries.

This review is exploratory and shows that there is little consistency in reporting of labour force variables. Future research should endeavour to utilise internationally agreed definitions of labour force activity.

This conclusion is relevant to matching community residents with psychiatric disorders to the more intensive and costly forms of vocational rehabilitation.

To our knowledge, no previous review has examined diagnostic categories of psychiatric disorders by labour force activity internationally while taking into account background unemployment. This review found an employment gradient related to severity of diagnostic category that will be of interest to clinicians and policy makers.

Prisoners are at greater risk of infectious diseases compared to the general population. While imprisoned, it is often difficult to observe Coronavirus 2019 (COVID-19) prevention strategies such as social distancing. To the authors’ knowledge, no study has been conducted worldwide to examine the condition of female prisoners with COVID-19. Therefore, this study aims to investigate the epidemiological, clinical and imaging characteristics of prisoners with COVID-19 in Ahvaz Women’s Prison (southwest, Iran).

The data for this descriptive cross-sectional study was collected using a checklist including epidemiological information, clinical symptoms, X-ray and computed tomography scan findings of the chest, underlying diseases and the final status of all female prisoners whose COVID-19 test was positive.

This study included 139 female prisoners with COVID-19 with a mean age of 37.19 ± 12.67 years. The most common underlying diseases were hypertension (14.4%), obesity (10.8%) and chronic obstructive pulmonary disease (9.4%). The most common symptoms at the onset of the disease were myalgia (59.0%), cough (41.0%) and dyspnea (37.4%). The most common radiological symptoms were ground-glass opacity (12.9%) and atelectasis (7.2%). In terms of extension of involvement, both lungs were involved in 8.6% of patients. In terms of zonal involvement, the lower lobes were more involved (8.6%). In terms of involvement position, the most common was sub-pleural (10.1%). None of the patients died.

Because the incidence, morbidity and mortality rate of COVID-19 in the prison population are likely to differ from those of the public. This study sought to investigate the situation of prisoners with COVID-19 in Ahvaz Prison, Khuzestan Province. To the best of the authors’ knowledge, this is the first worldwide study in this regard in women’s prisons.

Many world regions are developing quickly and experiencing increasing levels of sanitation, causing an epidemiological shift of hepatitis A in these areas. The shift occurs when children avoid being infected with the disease until a later age due to cleaner water sources, food, and hygiene practices in their environment; but if they are infected at later age, the disease is much more severe and lost productivity costs are higher. The purpose of this paper is to examine what could occur if an epidemiological shift of the disease continues in these regions, and what type of future burden hepatitis A may have in a hypothetical rapidly developing country.

Initially, annual hepatitis A mortality was regressed on the Human Development Index (HDI) for each country classified as an emerging and growth-leading economy (EAGLE) to provide an overview of how economic development and hepatitis A mortality related. Data from the various EAGLE countries were also fit to a model of hepatitis A mortality rates in relation to HDI, which were both weighted by each country’s 1995–2010 population of available data, in order to create a model for a hypothetical emerging market country. A second regression model was fit for the weighted average annual hepatitis A mortality rate of all EAGLE countries from the years 1995 to 2010. Additionally, hepatitis A mortality rate was regressed on year.

Regression results show a constant decline of mortality as HDI increased. For each increase of one in HDI value in this hypothetical country, mortality rate declined by 2.3016 deaths per 100,000 people. The hypothetical country showed the HDI value increasing by 0.0073 each year. Also, results displayed a decrease in hepatitis A mortality rate of 0.0168 per 100,000 people per year. Finally, the mortality rate for hepatitis A in this hypothetical country is projected to be down to 0.11299 deaths per 100,000 people by 2030 and its economic status will fall just below the HDI criteria for a developed country by 2025.

The hypothetical country as a prototype model was created from the results of regressed data from EAGLE countries. It is aimed to display an example of the health and economic changes occurring in these rapidly developing regions in order to help understand potential hepatitis A trends, while underscoring the importance of informed and regular policy updates in the coming years. The author believes this regression provides insight into the patterns of hepatitis A mortality and HDI as these EAGLE countries undergo rapid development.