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Globalization of world economy and politico-economical changes in Russia are the preconditions for the formation of new sanitary-quarantine control methodology based on the identification of risks for sanitary-epidemiological welfare of the population. Considered this, conducted is the analysis of every possible risk with a view to estimation of probability of the events that pose a hazard to sanitary-epidemiological welfare of the population. ; Глобализация мировой экономики и изменения в политико-экономической сфере России являются предпосылками к формированию новой методики санитарно-карантинного контроля, основанного на выявлении риска для санитарно-эпидемиологического благополучия населения. Проведен анализ каждого из возможных рисков с оценкой вероятности событий, представляющих опасность для санитарно-эпидемиологического благополучия населения.

Objective of the work is to perform the sanitary and quarantine control (SQC) in the under emergency situation of on the neighboring with the Russian Federation territory. Materials and methods. Utilized were information materials and report data of the Rospotrebnadzor Administration in the Rostov Region on the activities of automobile border-crossing points in high alert regime (2013–2016). Considered were some peculiarities of the sanitary and quarantine control (SQC) in the Rostov Region under emergency situations of social nature in the neighboring with the Russian Federation territories. Results and conclusions. Performance efficiency of the sanitary-quarantine facilities (SQF) in terms of inspection of vehicles and population testify to the consistently high traffic and flow of migration through multilateral automobile points of entry (APE) (2014–2016), followed by their redistribution between the APE in the context of the unfolding situation. SQC at state border checkpoints was carried out in the high alert regime to identify sick persons suspected of infectious diseases of various etiologies – the multi-etiological risk factors. Demonstrated is the expediency of "symptomatic" approach for identification of persons with suspected communicable diseases using the maximum of capacities of other government control agencies. The main peculiarities of the high alert regime under social conflict in the neighboring areas are the strengthening of interdepartmental cooperation with the Ministry of Emergency Situations (MES) and the Federal Medical-Biological Agency of Russia. ; Цель работы. Исполнение государственной функции санитарно-карантинного контроля в режиме повышенной готовности и в условиях чрезвычайной ситуации на сопредельной с Российской Федерацией территории. Материалы и методы. Использованы информационные материалы и отчетные данные Управления Роспотребнадзора по Ростовской области о работе автомобильных пунктов пропуска через Государственную границу Российской Федерации в режиме повышенной готовности (2013–2016 гг.). Рассмотрены особенности проведения санитарно-карантинного контроля (СКК) области при чрезвычайной ситуации социального характера на сопредельной с Российской Федерацией территории. Результаты и выводы. Показатели работы санитарно-карантинных пунктов (СКП) в плане досмотра транспортных средств и населения свидетельствовали о стабильно высоком транспортном потоке мигрирующего населения через многосторонние автомобильные пункты пропуска (МАПП) (2014–2016 гг.) с последующим перераспределением их между МАПП с учетом складывающейся обстановки. СКК в пунктах пропуска через государственную границу осуществлялся в режиме повышенной готовности к выявлению больных с подозрением на инфекционные болезни различной этиологии – полиэтиологическим факторам риска. Показана целесообразность использования «симптомного» подхода для выявления лиц с подозрением на инфекционные болезни с максимальным использованием возможностей других государственных контрольных органов. Особенностями режима повышенной готовности в условиях социального конфликта на сопредельной территории являлось усиление межведомственного взаимодействия с МЧС и организациями Федерального медико-биологического агентства России.

• Four deaths Friday resulted from pneumonia complications of influenza: one infant, two females, one male• Actual number of cases in Des Moines believed to be twice that of reported cases• Committee formed in order to obtain additional ambulances • Red Cross at Camp Dodge appealing for additional housekeepers, clerks with stenographic skills, and men to help MPs police traffic between city and cantonment • "It was pointed out that military police had no authority to arrest civilians for violating health ordinances."• Street car regulations modified to accommodate construction at cantonment –laborers may fill cars up to 25 people over seating capacity until 7:30 am, at which time initial regulations resume• Teachers to make house to house survey to determine extent of disease, with report most likely available Monday• Fifty-six beds reserved at Iowa Methodist Hospital for influenza patients, twenty currently occupied ; Newspaper article ; 6

In this paper, the main aspects of sanitary control in the field of nutrition are considered. General directions of sanitary supervision are described. The structure of organizational and methodical work on food hygiene is given. The principles of planning and methodological support of sanitary control, as well as responsibility for violation of sanitary legislation are reviewed.

On p.3: War dept. ; "Supersede General orders no. 45, War department, 1916."--p.3. ; Mode of access: Internet.

This article is a Letter to the Editor and does not include an Abstract.

"This book presents research-based insights and solutions for the proper management and treatment of landfill leachate, highlighting relevant topics on emerging technologies and treatment innovations for minimizing the environmental hazards of waste disposal"--

The COVID-19 pandemic has forced policy makers to decree urgent confinements to stop a rapid and massive contagion. However, after that stage, societies are being forced to find an equilibrium between the need to reduce contagion rates and the need to reopen their economies. The experience hitherto lived has provided data on the evolution of the pandemic, in particular the population dynamics as a result of the public health measures enacted. This allows the formulation of forecasting mathematical models to anticipate the consequences of political decisions. Here we propose a mode to do so and apply it to the case of Portugal. With a mathematical deterministic model, described by a system of ordinary differential equations, we fit the real evolution of COVID-19 in this country. After identification of the population readiness to follow social restrictions, by analyzing the social media, we incorporate this effect in a version of the model that allow us to check different scenarios. This is realized by considering a Monte Carlo discrete version of the previous model coupled via a complex network. Then, we apply optimal control theory to maximize the number of people returning to "normal life" and minimizing the number of active infected individuals with minimal economical costs while warranting a low level of hospitalizations. This work allows testing various scenarios of pandemic management (closure of sectors of the economy, partial/total compliance with protection measures by citizens, number of beds in intensive care units, etc.), ensuring the responsiveness of the health system, thus being a public health decision support tool. ; info:eu-repo/semantics/publishedVersion

The COVID-19 pandemic has forced policy makers to decree urgent confinements to stop a rapid and massive contagion. However, after that stage, societies are being forced to find an equilibrium between the need to reduce contagion rates and the need to reopen their economies. The experience hitherto lived has provided data on the evolution of the pandemic, in particular the population dynamics as a result of the public health measures enacted. This allows the formulation of forecasting mathematical models to anticipate the consequences of political decisions. Here we propose a model to do so and apply it to the case of Portugal. With a mathematical deterministic model, described by a system of ordinary differential equations, we fit the real evolution of COVID-19 in this country. After identification of the population readiness to follow social restrictions, by analyzing the social media, we incorporate this effect in a version of the model that allow us to check different scenarios. This is realized by considering a Monte Carlo discrete version of the previous model coupled via a complex network. Then, we apply optimal control theory to maximize the number of people returning to "normal life" and minimizing the number of active infected individuals with minimal economical costs while warranting a low level of hospitalizations. This work allows testing various scenarios of pandemic management (closure of sectors of the economy, partial/total compliance with protection measures by citizens, number of beds in intensive care units, etc.), ensuring the responsiveness of the health system, thus being a public health decision support tool. ; info:eu-repo/semantics/publishedVersion

The COVID-19 pandemic has forced policy makers to decree urgent confinements to stop a rapid and massive contagion. However, after that stage, societies are being forced to find an equilibrium between the need to reduce contagion rates and the need to reopen their economies. The experience hitherto lived has provided data on the evolution of the pandemic, in particular the population dynamics as a result of the public health measures enacted. This allows the formulation of forecasting mathematical models to anticipate the consequences of political decisions. Here we propose a model to do so and apply it to the case of Portugal. With a mathematical deterministic model, described by a system of ordinary differential equations, we fit the real evolution of COVID-19 in this country. After identification of the population readiness to follow social restrictions, by analyzing the social media, we incorporate this effect in a version of the model that allow us to check different scenarios. This is realized by considering a Monte Carlo discrete version of the previous model coupled via a complex network. Then, we apply optimal control theory to maximize the number of people returning to "normal life" and minimizing the number of active infected individuals with minimal economical costs while warranting a low level of hospitalizations. This work allows testing various scenarios of pandemic management (closure of sectors of the economy, partial/total compliance with protection measures by citizens, number of beds in intensive care units, etc.), ensuring the responsiveness of the health system, thus being a public health decision support tool.