Biological Warfare and Infection Control

1991 ◽  
Vol 12 (6) ◽  
pp. 368-372 ◽  
Author(s):  
Mary D. Nettleman

Though biological weapons were outlawed in 1925 by the Geneva Convention and though research, development, and stockpiling of such weapons were forbidden by the Biological Weapons Convention in 1972, the threat of biological warfare has not been eradicated. A wide variety of agents have been considered as possible weapons. In addition to their devastating effect on the battlefield, some have potential for nosocomial spread in US hospitals that care for victims of biological warfare. The following is a brief review of the history of germ warfare, a description of selected agents under consideration, and a discussion of the potential impact of biological weapons on hospital infection control.Biological warfare has been attempted many times in past centuries and is not a concept unique to the war in the Persian Gulf. Poisoning wells by throwing dead bodies into them was not uncommon in the Middle Ages. During the 14th century conflict in Crimea, plague victims were catapulted into the besieged city of Kaffa by the Tartar army. Whether aided by this or not, plague soon broke out and the city surrendered. Escaping citizens and returning soldiers soon spread the disease to much of Europe. In another example, blankets from smallpox victims were considered as potential weapons against American Indians by British colonial commanders in the 18th century. More recently, Japan purportedly investigated biological weapons to spread plague, cholera, yellow fever, and anthrax during World War II. Attempts in earlier centuries usually were unsuccessful due to the lack of knowledge about disease vectors and etiological agents. Only with the advent of modern microbiological techniques has intentional biological warfare been possible on an organized and vast scale.

Author(s):  
Monika Kamińska

The parish churches in Igołomia and Wawrzeńczyce were founded in the Middle Ages. Their current appearance is the result of centuries of change. Wawrzeńczyce was an ecclesial property – first of Wrocław Premonstratens, and then, until the end of the 18th century, of Kraków bishops. The Church of St. Mary Magdalene was funded by the Bishop Iwo Odrowąż. In 1393 it was visited by the royal couple Jadwiga of Poland and Władysław Jagiełło. In the 17th century the temple suffered from the Swedish Invasion, and then a fire. The church was also damaged during World War I in 1914. The current furnishing of the church was created to a large extent after World War II. Igołomia was once partly owned by the Benedictines of Tyniec, and partly belonged to the Collegiate Church of St. Florian in Kleparz in Kraków. The first mention of the parish church of the Nativity of the Blessed Virgin Mary comes from the first quarter of the fourteenth century. In 1384, a brick church was erected in place of a wooden one. The history of the Igołomia church is known only from the second half of the 18th century, as it was renovated and enlarged in 1869. The destruction after World War I initiated interior renovation work, continuing until the 1920s.


2010 ◽  
Vol 29 (1) ◽  
pp. 2-23 ◽  
Author(s):  
Erhard Geissler ◽  
Jeanne Guillemin

The German army's 1943 flooding of the Pontine Marshes south of Rome, which later caused a sharp rise in malaria cases among Italian civilians, has recently been described by historian Frank Snowden as a unique instance of biological warfare and bioterrorism in the European theater of war and, consequently, as a violation of the 1925 Geneva Protocol prohibiting chemical and biological warfare. We argue that archival documents fail to support this allegation, on several counts. As a matter of historical record, Hitler prohibited German biological weapons (BW) development and consistently adhered to the Geneva Protocol. Rather than biological warfare against civilians, the Wehrmacht used flooding, land mines, and the destruction of vital infrastructure to obstruct the Allied advance. To protect its own troops in the area, the German army sought to contain the increased mosquito breeding likely to be caused by the flooding. Italians returning to the Pontine Marshes after the German retreat in 1944 suffered malaria as a result of environmental destruction, which was banned by the 1899 and 1907 Hague Conventions and by subsequent treaties. In contrast, a state's violation of the Geneva Protocol, whether past or present, involves the use of germ weapons and, by inference, a state-level capability. Any allegation of such a serious violation demands credible evidence that meets high scientific and legal standards of proof.


2021 ◽  
pp. 33-38
Author(s):  
Michael Obladen

Mouth-to-mouth resuscitation of asphyctic newborns was used by midwives during the late Middle Ages and described by Bagellardo in 1472. The construction of manual ventilators by Hunter, Chaussier, and Gorcy seemed to set the stage for artificial ventilation of the neonate at the end of the 18th century. When Leroy d’Etiolles identified pneumothorax as a complication of ventilation in 1828, the Paris Academy of Science advised against positive pressure ventilation. Indirect techniques like that of Silvester or the Schultze swinging method gained widespread acceptance and prevailed until World War II. Modern ventilators were developed following the poliomyelitis epidemics in the 20th century.


2004 ◽  
pp. 269-288
Author(s):  
Mirko Barjaktarovic

This paper discusses inter-ethnic contacts and ethonogenetic processes in lower Banat. This part of the Danube region attracted various nations (the Dacians, Romans, Celts, Avars, Slavs, Hungarians, Romanians, Germans) from ancient times. From the 18th century, one could follow the cultural influences of western Europe which came with the settled Germans. After World War II, the Serbs, Macedonians, Moslems were settled there instead of the emigrated Germans. Thus the inter-ethnic contacts of different nations continued further on. Still, in this part of Banat, from Middle Ages the basic ethnic characteristics have been related to the Serbs.


2017 ◽  
Vol 15 (2) ◽  
pp. 9-22
Author(s):  
Marek Maciejewski

The origin of universities reaches the period of Ancient Greece when philosophy (sophists, Socrates, Plato, Aristotle, stoics and others) – the “Queen of sciences”, and the first institutions of higher education (among others, Plato’s Academy, Cassiodorus’ Vivarium, gymnasia) came into existence. Even before the new era, schools having the nature of universities existed also beyond European borders, including those in China and India. In the early Middle Ages, those types of schools functioned in Northern Africa and in the Near East (Baghdad, Cairo, Constantinople, cities of Southern Spain). The first university in the full meaning of the word was founded at the end of the 11th century in Bologna. It was based on a two-tiered education cycle. Following its creation, soon new universities – at first – in Italy, then (in the 12th and 13th century) in other European cities – were established. The author of the article describes their modes of operation, the methods of conducting research and organizing students’ education, the existing student traditions and customs. From the very beginning of the universities’ existence the study of law was part of their curricula, based primarily on the teaching of Roman law and – with time – the canon law. The rise of universities can be dated from the end of the Middle Ages and the beginning of modernity. In the 17th and 18th century they underwent a crisis which was successfully overcome at the end of the 19th century and throughout the following one.


2003 ◽  
Vol 16 (2) ◽  
pp. 71-84 ◽  
Author(s):  
B. Croxson ◽  
P. Allen ◽  
J. A. Roberts ◽  
K. Archibald ◽  
S. Crawshaw ◽  
...  

The problems associated with hospital-acquired infection have been causing increasing concern in England in recent years. This paper reports the results of a nationwide survey of hospital infection control professionals' views concerning the organizational structures used to manage and obtain funding for control of infection. A complex picture with significant variation between hospitals emerges. Although government policy dictates that specific funding for hospital infection control is formally made available, it is not always the case that infection control professionals have adequate resources to undertake their roles. In some cases this reflects the failure of hospitals' infection control budgetary mechanisms; in others it reflects the effects of decentralizing budgets to directorate or ward level. Some use was made of informal mechanisms either to supplement or to substitute for the formal ones. But almost all infection control professionals still believed they were constrained in their ability to protect the hospital population from the risk of infectious disease. It is clear that recent government announcements that increased effort will be made to support local structures and thereby improve the control of hospital acquired infection are to be welcomed.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S487-S487
Author(s):  
Flávio Henrique Batista de Souza ◽  
Braulio Roberto Gonçalves Marinho Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  

Abstract Background In Belo Horizonte, a city with 3,000,000 inhabitants, a survey was performed in six hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing clean surgery procedures. The main objective is to statistically evaluate such incidences and enable an analysis of the SSI predictive power, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals, a data collection on SSI was carried out through the software SACIH - Automated System for Hospital Infection Control. So, three procedures were performed: a treatment of the collected database for use of intact samples; a statistical analysis on the profile of the collected hospitals; an evaluation of the predictive power of five types of MLPs (Backpropagation Standard, Momentum, Resilient Propagation, Weight Decay and Quick Propagation) for SSI prediction. The MLPs were tested with 3, 5, 7 and 10 neurons in the hidden layer and with a division of the database for the resampling process (65% or 75% for testing, 35% or 25% for validation). They were compared by measuring the AUC (Area Under the Curve - ranging from 0 to 1) presented for each of the configurations. Results From 45,990 records, 12,811 were able for analysis. The statistical analysis results were: the average age is 49 years old (predominantly between 30 and 50); the surgeries had an average time of 134.13 minutes; the average hospital stay is 4 days (from 0 to 200 days), the death rate reached 1% and the SSI 1.49%. A maximum prediction power of 0.742 was found. Conclusion There was a loss of 60% of the database samples due to the presence of noise. However, it was possible to have a relevant sample to assess the profile of these six hospitals. The predictive process, presented some configurations with results that reached 0.742, what promises the use of the structure for the monitoring of automated SSI for patients submitted to surgeries considered clean. To optimize data collection, enable other hospitals to use the prediction tool and minimize noise from the database, two mobile application were developed: one for monitoring the patient in the hospital and other for monitoring after hospital discharge. The SSI prediction analysis tool is available at www.nois.org.br. Disclosures All Authors: No reported disclosures


2020 ◽  
Vol 41 (S1) ◽  
pp. s135-s136
Author(s):  
Flávio Souza ◽  
Braulio Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  

Background: In 7 hospitals in Belo Horizonte, a city with >3,000,000 inhabitants, a survey was conducted between July 2016 and June 2018, focused on surgical site infection (SSI) in patients undergoing arthroplasty surgery procedures. The main objective is to statistically evaluate such incidences and enable a study of the prediction power of SSI through pattern recognition algorithms, the MLPs (multilayer perceptron). Methods: Data were collected on SSI by the hospital infection control committees (CCIHs) of the hospitals involved in the research. All data used in the analysis during their routine SSI surveillance procedures were collected. The information was forwarded to the NOIS (Nosocomial Infection Study) Project, which used SACIH automated hospital infection control system software to collect data from a sample of hospitals participating voluntarily in the project. After data collection, 3 procedures were performed: (1) a treatment of the database collected for the use of intact samples; (2) a statistical analysis on the profile of the hospitals collected; and (3) an assessment of the predictive power of 5 types of MLP (backpropagation standard, momentum, resilient propagation, weight decay, and quick propagation) for SSI prediction. MLPs were tested with 3, 5, 7, and 10 hidden layer neurons and a database split for the resampling process (65% or 75% for testing and 35% or 25% for validation). The results were compared by measuring AUC (area under the curve; range, 0–1) presented for each of the configurations. Results: Of 1,246 records, 535 were intact for analysis. We obtained the following statistics: the average surgery time was 190 minutes (range, 145–217 minutes); the average age of the patients was 67 years (range, 9–103); the prosthetic implant index was 98.13%; the SSI rate was 1.49%, and the death rate was 1.21%. Regarding the prediction power, the maximum prediction power was 0.744. Conclusions: Despite the considerable loss rate of almost 60% of the database samples due to the presence of noise, it was possible to perform relevant sampling for the profile evaluation of hospitals in Belo Horizonte. For the predictive process, some configurations have results that reached 0.744, which indicates the usefulness of the structure for automated SSI monitoring for patients undergoing hip arthroplasty surgery. To optimize data collection and to enable other hospitals to use the SSI prediction tool (available in www.sacihweb.com ), a mobile application was developed.Funding: NoneDisclosures: None


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