Pioneers in infection control: John Snow, Henry Whitehead, the Broad Street pump, and the beginnings of geographical epidemiology

From Snow's map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

The history of mapping infectious diseases dates back to the 19th century when Dr John Snow utilised spatial analysis to pinpoint the source of the 1854 cholera outbreak in London, a ground-breaking work that laid the foundation for modern epidemiology and disease mapping (Newsom, 2006). As technology advanced, so did mapping techniques. In the late 20th century, geographic information systems (GIS) revolutionized disease mapping by enabling researchers to overlay diverse datasets to visualise and analyse complex spatial patterns (Bergquist & Manda 2019; Hashtarkhani et al., 2021). The COVID-19 pandemic showed that disease mapping is particularly valuable for optimising prevention and control strategies of infectious diseases by prioritising geographical targeting interventions and containment strategies (Mohammadi et al., 2021). Today, with the aid of highresolution satellite imagery, geo-referenced electronic data collection systems, real-time data feeds, and sophisticated modelling algorithms, disease mapping has become a feasible and accessible tool for public health officials in tracking, managing, and mitigating the spread of infectious diseases at global, regional and local scales (Hay et al., 2013). [...].

Space-time cluster detection techniques for infectious diseases: A systematic review

BACKGROUND

Public health organizations have increasingly harnessed geospatial technologies for disease surveillance, health services allocation, and targeting place-based health promotion initiatives.

METHODS

We conducted a systematic review around the theme of space-time clustering detection techniques for infectious diseases using PubMed, Web of Science, and Scopus. Two reviewers independently determined inclusion and exclusion.

RESULTS

Of 2,887 articles identified, 354 studies met inclusion criteria, the majority of which were application papers. Studies of airborne diseases were dominant, followed by vector-borne diseases. Most research used aggregated data instead of point data, and a significant proportion of articles used a repetition of a spatial clustering method, instead of using a "true" space-time detection approach, potentially leading to the detection of false positives. Noticeably, most articles did not make their data available, limiting replicability.

CONCLUSION

This review underlines recent trends in the application of space-time clustering methods to the field of infectious disease, with a rapid increase during the COVID-19 pandemic.

Temporal bias in case-control design: preventing reliable predictions of the future

One of the primary tools that researchers use to predict risk is the case-control study. We identify a flaw, temporal bias, that is specific to and uniquely associated with these studies that occurs when the study period is not representative of the data that clinicians have during the diagnostic process. Temporal bias acts to undermine the validity of predictions by over-emphasizing features close to the outcome of interest. We examine the impact of temporal bias across the medical literature, and highlight examples of exaggerated effect sizes, false-negative predictions, and replication failure. Given the ubiquity and practical advantages of case-control studies, we discuss strategies for estimating the influence of and preventing temporal bias where it exists.

Patient, provider, and system factors that contribute to health care-associated infection and sepsis development in patients after a traumatic injury: An integrative review

OBJECTIVES

Patients after traumatic injury continue to develop health care-associated infections. The aim of this review was to identify risk factors for developing hospital-acquired infection and sepsis in patients experiencing a traumatic injury.

DESIGN

This is an integrative review following the framework of Whittemore and Knafl.

DATA SOURCES

An electronic database search was undertaken using Scopus and Medline databases in early October 2019. Hand searching of key references was also conducted. The existing literature published between January 2007 and September 2019 was searched to identify clinically relevant studies that reflected current healthcare practices and systems.

REVIEW METHODS

Four reviewers independently assessed articles for inclusion eligibility. Full-text versions of the articles were systematically appraised using the Critical Appraisal Skills Programme. The Preferred Reporting Items for Systematic reviews and Meta-Analyses format was used.

RESULTS

A total of 15 studies from the United Kingdom, the United States of America, China, and South Korea were included. Twelve of the 15 studies were focused exclusively on patient-based risk factors including gender and comorbidities. Provider-based factors were identified as nurse staffing levels between different categories of nurses with various levels of proficiency. System-level risk factors included interhospital admissions, surgical interventions, and length of stay.

CONCLUSIONS

Hospital-acquired infections are preventable, and it is imperative that provider and system risk factors that contribute to patients with traumatic injuries from developing a hospital-acquired infection be identified. Patients with traumatic injuries are unable to amend any patient-related risk factors such as comorbidities or gender. However, the identification of provider and system risk factors that contribute to patients with traumatic injuries from developing a hospital-acquired infection would provide clinically relevant and applicable strategies at the macro and meso level being implemented.

Improving the quality of quality metrics in neonatology

This article examines approaches for improving the efficiency and effectiveness of quality metrics currently in use in neonatal care. Desirable characteristics of quality metrics are discussed, the criteria and process for their development are presented, and the uses and limitations of current neonatal outcome and process metrics are explored together with approaches for improving metric performance. Discussion includes enhancing quality metrics through optimizing improvement readiness, sustaining improvements once achieved, and use of improvement science methods to improve metric validity.

CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database

The Comprehensive Antibiotic Resistance Database (CARD; https://card.mcmaster.ca) is a curated resource providing reference DNA and protein sequences, detection models and bioinformatics tools on the molecular basis of bacterial antimicrobial resistance (AMR). CARD focuses on providing high-quality reference data and molecular sequences within a controlled vocabulary, the Antibiotic Resistance Ontology (ARO), designed by the CARD biocuration team to integrate with software development efforts for resistome analysis and prediction, such as CARD's Resistance Gene Identifier (RGI) software. Since 2017, CARD has expanded through extensive curation of reference sequences, revision of the ontological structure, curation of over 500 new AMR detection models, development of a new classification paradigm and expansion of analytical tools. Most notably, a new Resistomes & Variants module provides analysis and statistical summary of in silico predicted resistance variants from 82 pathogens and over 100 000 genomes. By adding these resistance variants to CARD, we are able to summarize predicted resistance using the information included in CARD, identify trends in AMR mobility and determine previously undescribed and novel resistance variants. Here, we describe updates and recent expansions to CARD and its biocuration process, including new resources for community biocuration of AMR molecular reference data.

Quality improvement in pediatric urology-a historical perspective on street pumps, puerperal fever, surgical infection, and contemporary methodology

Quality improvement and patient safety (QIPS) can trace its origin back to the court of Hammurabi (circa 1700BC). However, it did not begin its evolution into its present methodology until the mid-19th century. It was through the application of quantitative parameters around the time of World War I that the field of QIPS has matured and gained a significant presence in the practice of medicine. Herein, the authors present a historical overview of this increasingly important field and correlate the current pediatric urology literature that has arisen from it. Because QIPS research is likely to contribute to efficient, streamlined health care through rapid changes to routine clinical practices, it would behoove pediatric urologists to familiarize themselves with its history and fundamental concepts.

Using social media to disseminate research in infection prevention, hospital epidemiology, and antimicrobial stewardship

Social media, prevention of healthcare-associated infections (HAIs) and antimicrobial stewardship (ASP) each impact every area of medicine. Independently, each have power to change medicine, however, synergistically, the impact could be transformative. Given the profound clinical, financial, and public health impact of infection prevention and antimicrobial stewardship combined with the incomplete uptake of best practices, multimodal strategies employing social media are critical to increase the speed and reach of research. This review discusses the strategic utilization of online communication platforms to increase the dissemination of critical publications.

Routes of Transmission in the Food Chain

More than 250 different foodborne diseases have been described to date, annually affecting about one-third of the world's population. The incidence of foodborne diseases has been underreported and underestimated, and the asymptomatic presentation of some of the illnesses, worldwide heterogeneities in reporting, and the alternative transmission routes of certain pathogens are among the factors that contribute to this. Globalization, centralization of the food supply, transportation of food products progressively farther from their places of origin, and the multitude of steps where contamination may occur have made it increasingly challenging to investigate foodborne and waterborne outbreaks. Certain foodborne pathogens may be transmitted directly from animals to humans, while others are transmitted through vectors, such as insects, or through food handlers, contaminated food products or food-processing surfaces, or transfer from sponges, cloths, or utensils. Additionally, the airborne route may contribute to the transmission of certain foodborne pathogens. Complicating epidemiological investigations, multiple transmission routes have been described for some foodborne pathogens. Two types of transmission barriers, primary and secondary, have been described for foodborne pathogens, each of them providing opportunities for preventing and controlling outbreaks. Primary barriers, the most effective sites of prophylactic intervention, prevent pathogen entry into the environment, while secondary barriers prevent the multiplication and dissemination of pathogens that have already entered the environment. Understanding pathogen dynamics, monitoring transmission, and implementing preventive measures are complicated by the phenomenon of superspreading, which refers to the concept that, at the level of populations, a minority of hosts is responsible for the majority of transmission events.

CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database

The Comprehensive Antibiotic Resistance Database (CARD; http://arpcard.mcmaster.ca) is a manually curated resource containing high quality reference data on the molecular basis of antimicrobial resistance (AMR), with an emphasis on the genes, proteins and mutations involved in AMR. CARD is ontologically structured, model centric, and spans the breadth of AMR drug classes and resistance mechanisms, including intrinsic, mutation-driven and acquired resistance. It is built upon the Antibiotic Resistance Ontology (ARO), a custom built, interconnected and hierarchical controlled vocabulary allowing advanced data sharing and organization. Its design allows the development of novel genome analysis tools, such as the Resistance Gene Identifier (RGI) for resistome prediction from raw genome sequence. Recent improvements include extensive curation of additional reference sequences and mutations, development of a unique Model Ontology and accompanying AMR detection models to power sequence analysis, new visualization tools, and expansion of the RGI for detection of emergent AMR threats. CARD curation is updated monthly based on an interplay of manual literature curation, computational text mining, and genome analysis.

Traditional and syndromic surveillance of infectious diseases and pathogens

BACKGROUND

Infectious diseases remain a major public health problem worldwide. Hence, their surveillance is critical. Currently, many surveillance strategies and systems are in use around the world. An inventory of the data, surveillance strategies, and surveillance systems developed worldwide for the surveillance of infectious diseases is presented herein, with emphasis on the role of the microbiology laboratory in surveillance.

METHODS

The data, strategies, and systems used around the world for the surveillance of infectious diseases and pathogens, along with current issues and trends, were reviewed.

RESULTS

Twelve major classes of data were identified on the basis of their timing relative to infection, resources available, and type of surveillance. Two primary strategies were compared: disease-specific surveillance and syndromic surveillance. Finally, 262 systems implemented worldwide for the surveillance of infections were registered and briefly described, with a focus on those based on microbiological data from laboratories.

CONCLUSIONS

There is currently a wealth of available data on infections, which has been growing with the recent emergence of new technologies. Concurrently with the expansion of computer resources and networks, these data will allow the optimization of real-time detection and notification of infections.

[Analysis of the relation between the spatial distribution of morbidities due to obesity and hypertension for the State of São Paulo, Brazil, from 2000 to 2010]

The increased prevalence of obesity in many countries in the last decade has resulted in increased morbidity and mortality from hypertension and associated complications. The objective of this work is to analyze the spatial distribution of obesity and hypertension in the state of São Paulo in the period from 2000 to 2010, based on hospital records and admissions from the Hospital Information System of the Unified Health System (HIS - SUS). Coefficients were used for the prevalence of the disease in each municipality averaged out by the empirical Bayesian method, enabling visualization of the spatial pattern of these morbidities in the state. The spatial dependence of these standards was assessed by checking the autocorrelation between the indicators by calculating Moran's Index of Spatial Autocorrelation. Furthermore, the positive correlation (Pearson) between obesity and hypertension was investigated. Data and maps showed clusters of 87 municipalities where there are higher and lower prevalence of hypertension and obesity in the location with marked autocorrelation between neighboring municipalities. The Pearson correlation coefficient found for these municipalities was 0.404 and suggests an association between the morbidities. The spatial analysis techniques proved useful for planning public health actions.

Closing the chasm between research and practice: evidence of and for change

The usual remedy suggested for bridging the science-to-practice gap is to improve the efficiency of disseminating the evidence-based practices to practitioners. This reflection on the gap takes the position that it is the relevance and fit of the evidence with the majority of practices that limit its applicability and application in health promotion and related behavioural, community and population-level interventions where variations in context, values and norms make uniform interventions inappropriate. To make the evidence more relevant and actionable to practice settings and populations will require reforms at many points in the research-to-practice pipeline. These points in the pipeline are described and remedies for them suggested.

Banting Memorial Lecture 2010^. Type 2 diabetes as an 'infectious' disease: is this the Black Death of the 21st century?

We are currently facing a global pandemic of obesity and Type 2 diabetes. In some settings, the population prevalence of Type 2 diabetes is 50%, and half of those affected will die from diabetes-related complications. Eight centuries ago, an epidemic of bubonic plague swept across Europe, killing at least half of its victims. We here draw comparisons between these two pandemics, proposing close analogies between the 'Black Death' of the 14th century and the modern-day equivalent of Type 2 diabetes. Both diseases can be considered in terms of an aetiological agent, a reservoir, a vector and a predisposing toxic environment; populations can be considered as highly susceptible to the transmissable agents of Type 2 diabetes in the setting of calorie excess, inadequate food labelling, poorly regulated advertising and sedentary lifestyles. As for tackling a pandemic of a contagious microbial pathogen, we believe that breaking the cycle of transmission in the diabetes epidemic must be underpinned by political will and prompt, decisive legislation backed by the medical community. Far from fearing that such measures edge us towards a 'nanny state', we believe individuals should expect a responsible government to safeguard them from the toxic milieu that puts them at risk of obesity and its complications, and that communities and populations have the right to have their health protected.

Sustainable control of water-related infectious diseases: a review and proposal for interdisciplinary health-based systems research

OBJECTIVE

Even when initially successful, many interventions aimed at reducing the toll of water-related infectious disease have not been sustainable over longer periods of time. Here we review historical practices in water-related infectious disease research and propose an interdisciplinary public health oriented systems approach to research and intervention design.

DATA SOURCES

On the basis of the literature and the authors' experiences, we summarize contributions from key disciplines and identify common problems and trends. Practices in developing countries, where the disease burden is the most severe, are emphasized.

DATA EXTRACTION

We define waterborne and water-associated vectorborne diseases and identify disciplinary themes and conceptual needs by drawing from ecologic, anthropologic, engineering, political/economic, and public health fields. A case study examines one of the classes of water-related infectious disease.

DATA SYNTHESIS

The limited success in designing sustainable interventions is attributable to factors that include the complexity and interactions among the social, ecologic, engineering, political/economic, and public health domains; incomplete data; a lack of relevant indicators; and most important, an inadequate understanding of the proximal and distal factors that cause water-related infectious disease. Fundamental change is needed for research on water-related infectious diseases, and we advocate a systems approach framework using an ongoing evidence-based health outcomes focus with an extended time horizon. The examples and case study in the review show many opportunities for interdisciplinary collaborations, data fusion techniques, and other advances.

CONCLUSIONS

The proposed framework will facilitate research by addressing the complexity and divergent scales of problems and by engaging scientists in the disciplines needed to tackle these difficult problems. Such research can enhance the prevention and control of water-related infectious diseases in a manner that is sustainable and focused on public health outcomes.

Solar ultraviolet irradiance and cancer incidence and mortality

Evidence supporting the UVB/vitamin D/cancer theory continues to mount with little detraction, although there are some inconsistent results, such as some from Nordic countries, with respect to serum calcidiol levels. Also, studies designed and conducted before it was realized that dietary sources are largely inadequate to have a pronounced effect on cancer risk were largely unable to confirm a beneficial role for vitamin D in reducing the risk of cancer. The analysis of the economic burden of solar UVB irradiance and vitamin D deficiencies compared to excess solar UV irradiance for the United States yielded interesting findings. One was that the US economic burden due to vitamin D insufficiency from inadequate exposure to solar UVB irradiance, diet and supplements was estimated at $40 billion to $56 billion in 2004, whereas the economic burden for excess UV irradiance was estimated at $6 billion to $7 billion. These findings are probably still approximately correct, if not on the low side, with respect to vitamin D because of the additional benefits found recently, such as protection against infectious diseases.