Household pets and zoonoses

2014 ◽  
Vol 57 (02) ◽  
pp. 41-49 ◽  
Author(s):  
Yvonne Whitfield ◽  
Angela Smith
Keyword(s):  
Public Health ◽  
High Risk ◽  
Disease Transmission ◽  
Burden Of Illness ◽  
Animal Health ◽  
Emerging Infectious Diseases ◽  
Primary Source ◽  
Surveillance Systems ◽  
The Public ◽  
The Impact

The popularity of having exotic animals as pets is increasing, particularly among children. It is also estimated that approximately 75% of emerging infectious diseases are zoonotic. The implications of these two trends are areas of concern for the public health community. We conducted a review of household pet zoonoses studies. This included a jurisdictional scan of public health agencies in Canada for policies and protocols on household pet zoonoses. Key stakeholder consultations with pet-related zoonoses experts and authors in Canada enhanced the information reviewed. Trends in pet ownership, risks of disease transmission, burden of illness, and current public health practices were examined. As a result, policy and intervention gaps and future opportunities for research and collaboration were identified. Specifically, pets remain as a primary source of numerous reportable and nonreportable diseases and outbreaks for example, salmonellosis, tularaemia, cutaneous larvae migrans, and Human Lymphocytic Chorimeningitis Virus infections. Pet treats and some pet foods were cited as potential sources of zoonotic diseases. Children under 5 years of age and immuno-compromised individuals were noted as potential high-risk groups; and daycares, schools, summer camps, private homes, and acute care and veterinary hospitals were noted as high-risk settings for zoonotic disease transmission. The primary risk factors identified include improper handling of pets and improper hand hygiene. The continued growth of the pet industry will necessitate interventions by public health, veterinary, and regulatory communities to mitigate the impact of pet zoonoses on the public. These interventions should include enhancement of the current surveillance systems, regulations to address existing gaps in the pet food industry, the development of policies and protocols at the provincial and federal levels of government, education of the public regarding the risks associated with the handling of pets, and greater collaboration among the human and animal health sectors.

Public health impacts of culture independent diagnostic testing in Australia

2017 ◽  
Vol 38 (4) ◽  
pp. 162
Author(s):  
Fiona J May
Keyword(s):  
Public Health ◽  
Health Management ◽  
Diagnostic Testing ◽  
Primary Source ◽  
Outbreak Detection ◽  
Surveillance Systems ◽  
Advantages And Disadvantages ◽  
Testing Protocol ◽  
Culture Independent ◽  
The Impact

Culture independent diagnostic tests (CIDT) for detection of pathogens in clinical specimens have become widely adopted in Australian pathology laboratories. Pathology laboratories are the primary source of notification of pathogens to state and territory surveillance systems. Monitoring and analysis of surveillance data is integral to guiding public health actions to reduce the incidence of disease and respond to outbreaks. As with any change in testing protocol, the advantages and disadvantages of the change from culture based testing to culture independent testing need to be weighed up and the impact on surveillance and outbreak detection assessed. This article discusses the effect of this change in testing on surveillance and public health management of pathogens in Australia, with specific focus on gastrointestinal pathogens.

A Review of State Public Health Emergency Declarations in Peru: 2014-2016

2018 ◽  
Vol 33 (2) ◽  
pp. 197-200
Author(s):  
Celso Bambarén ◽  
Maria del Socorro Alatrista
Keyword(s):  
Public Health ◽  
High Risk ◽  
Health Services ◽  
Emerging Infectious Diseases ◽  
Public Health Emergency ◽  
Control Measures ◽  
Publication Type ◽  
The Public ◽  
Public Health Emergencies ◽  
Sudden Decrease

AbstractPeru has different legal mechanisms of emergency, one of which is the Public Health Emergency that is applicable when: there is high-risk for, or the existence of an outbreak, epidemic, or pandemic; the occurrence of cases of a disease classified as eliminated or eradicated; the occurrence of emerging or re-emerging infectious diseases with high epidemic potential; the occurrence of rapid disseminated epidemics that simultaneously affect more than one department; as well as the existence of an event that affects the continuity of health services.From July 2014 to December 2016, 23 Public Health Emergencies were declared, out of which 57% were in the high-risk or existence of epidemics, 30% were due to some natural or anthropic events that generate a sudden decrease in the operative capacity of health services, and 13% were due to the existence of a rapid spreading epidemic that could affect more than one department in the country. The risk or occurrence of epidemiological outbreaks, mainly of Dengue, was the main cause of emergency declaration. One-hundred and forty million US dollars were allocated to implement the action plans that were part of the declaration, of which 72% was used to keep the operational capacity of health services and 28% to vector and epidemiological control measures.BambarénC, AlatristaMdS. A review of state public health emergency declarations in Peru: 2014-2016. Prehosp Disaster Med. 2018;33(2):197–200.

scholarly journals The changing role of veterinary expertise in the food chain

2011 ◽  
Vol 366 (1573) ◽  
pp. 1955-1965 ◽  
Author(s):  
Gareth Enticott ◽  
Andrew Donaldson ◽  
Philip Lowe ◽  
Megan Power ◽  
Amy Proctor ◽  
...  
Keyword(s):  
Social Sciences ◽  
Public Health ◽  
Food Chain ◽  
Animal Health ◽  
The State ◽  
The Public ◽  
Veterinary Profession ◽  
The Social ◽  
The Impact ◽  
Changing Role

This paper analyses how the changing governance of animal health has impacted upon veterinary expertise and its role in providing public health benefits. It argues that the social sciences can play an important role in understanding the nature of these changes, but also that their ideas and methods are, in part, responsible for them. The paper begins by examining how veterinary expertise came to be crucial to the regulation of the food chain in the twentieth century. The relationship between the veterinary profession and the state proved mutually beneficial, allowing the state to address the problems of animal health, and the veterinary profession to become identified as central to public health and food supply. However, this relationship has been gradually eroded by the application of neoliberal management techniques to the governance of animal health. This paper traces the impact of these techniques that have caused widespread unease within and beyond the veterinary profession about the consequences for its role in maintaining the public good of animal health. In conclusion, this paper suggests that the development of the social sciences in relation to animal health could contribute more helpfully to further changes in veterinary expertise.

scholarly journals Quantifying the impact of individual and collective compliance with infection control measures for ethical public health policy

2021 ◽  
Author(s):  
Daniel Roberts ◽  
Euzebiusz Jamrozik ◽  
George S. Heriot ◽  
Michael J. Selgelid ◽  
Joel C. Miller
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Disease Transmission ◽  
Health Benefit ◽  
Control Measures ◽  
Infectious Individual ◽  
The Public ◽  
Infection Control Measures ◽  
Mathematical Techniques ◽  
The Impact

AbstractCompliance with infectious disease control measures can benefit public health but be burdensome for individuals. This raises ethical questions regarding the value of the public health benefit created by individual and collective compliance. Answering such questions requires estimating the total benefit from an individual’s compliance, and how much of that benefit is experienced by others. This is complicated by “overdetermination” in infectious disease transmission: each susceptible person may have contact with more than one infectious individual, such that preventing one transmission may have no net effect if the same susceptible person is infected later. This article explores mathematical techniques enabling quantification of the impacts of individuals and groups complying with three types of public health measures: quarantine of arrivals, isolation of infected individuals, and vaccination/prophylaxis. The models presented suggest that these interventions all exhibit synergy: each intervention becomes more effective on a per-individual basis as the number complying increases, because overdetermination of outcomes is reduced, Thus additional compliance reduces transmission to a greater degree.

Awareness of symptomatic differences Covid-19, SARS, Swine Flu, Common cold among dental students

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1026-1033
Author(s):  
Nivedha Valliammai Mahalingam ◽  
Abilasha R ◽  
Kavitha S
Keyword(s):  
Infectious Diseases ◽  
Undergraduate Students ◽  
Common Cold ◽  
Emerging Infectious Diseases ◽  
Dental Students ◽  
Swine Flu ◽  
Viral Diseases ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
The Impact

Enormous successes have been obtained against the control of major epidemic diseases, such as SARS, MERS, Ebola, Swine Flu in the past. Dynamic interplay of biological, socio-cultural and ecological factors, together with novel aspects of human-animal interphase, pose additional challenges with respect to the emergence of infectious diseases. The important challenges faced in the control and prevention of emerging and re-emerging infectious diseases range from understanding the impact of factors that are necessary for the emergence, to development of strengthened surveillance systems that can mitigate human suffering and death. The aim of the current study is to assess the awareness of symptomatic differences between viral diseases like COVID-19, SARS, Swine flu and common cold among dental students that support the prevention of emergence or re-emergence. Cross-sectional type of study conducted among the undergraduate students comprising 100 Subjects. A questionnaire comprising 15 questions in total were framed, and responses were collected in Google forms in SPSS Software statistical analysis. The study has concluded that dental students have an awareness of the symptomatic differences between infectious viral disease. The study concluded that the awareness of symptomatic differences between viral diseases like COVID-19, SARS, Swine flu, Common cold is good among the dental students who would pave the way for early diagnosis and avoid spreading of such diseases. A further awareness can be created by regular webinars, seminars and brainstorming sessions among these healthcare professionals.

scholarly journals Green Deal as a Climate Changes Dam on the Road to Health

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Jevtic ◽  
C Bouland
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Circular Economy ◽  
Clinical Medicine ◽  
Health Sector ◽  
The Public ◽  
The Road ◽  
National Public Health ◽  
On The Road ◽  
The Impact

Abstract Public health professionals (PHP) have a dual task in climate change. They should persuade their colleagues in clinical medicine of the importance of all the issues covered by the GD. The fact that the health sector contributes to the overall emissions of 4.4% speaks to the lack of awareness within the health sector itself. The issue of providing adequate infrastructure for the health sector is essential. Strengthening the opportunities and development of the circular economy within healthcare is more than just a current issue. The second task of PHP is targeting the broader population. The public health mission is being implemented, inter alia, through numerous activities related to environmental monitoring and assessment of the impact on health. GD should be a roadmap for priorities and actions in public health, bearing in mind: an ambitious goal of climate neutrality, an insistence on clean, affordable and safe energy, a strategy for a clean and circular economy. GD provides a framework for the development of sustainable and smart transport, the development of green agriculture and policies from field to table. It also insists on biodiversity conservation and protection actions. The pursuit of zero pollution and an environment free of toxic chemicals, as well as incorporating sustainability into all policies, is also an indispensable part of GD. GD represents a leadership step in the global framework towards a healthier future and comprises all the non-EU members as well. The public health sector should consider the GD as an argument for achieving goals at national levels, and align national public health policies with the goals of this document. There is a need for stronger advocacy of health and public-health interests along with incorporating sustainability into all policies. Achieving goals requires the education process for healthcare professionals covering all of topics of climate change, energy and air pollution to a much greater extent than before.

scholarly journals Evolution of disease transmission during the COVID-19 pandemic: patterns and determinants

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jie Zhu ◽  
Blanca Gallego
Keyword(s):  
Public Health ◽  
Disease Transmission ◽  
Clustering Algorithm ◽  
Health Interventions ◽  
Transmission Model ◽  
Model Parameters ◽  
Public Health Interventions ◽  
Forecasting Accuracy ◽  
Time Lagged ◽  
The Impact

AbstractEpidemic models are being used by governments to inform public health strategies to reduce the spread of SARS-CoV-2. They simulate potential scenarios by manipulating model parameters that control processes of disease transmission and recovery. However, the validity of these parameters is challenged by the uncertainty of the impact of public health interventions on disease transmission, and the forecasting accuracy of these models is rarely investigated during an outbreak. We fitted a stochastic transmission model on reported cases, recoveries and deaths associated with SARS-CoV-2 infection across 101 countries. The dynamics of disease transmission was represented in terms of the daily effective reproduction number ($$R_t$$ R t ). The relationship between public health interventions and $$R_t$$ R t was explored, firstly using a hierarchical clustering algorithm on initial $$R_t$$ R t patterns, and secondly computing the time-lagged cross correlation among the daily number of policies implemented, $$R_t$$ R t , and daily incidence counts in subsequent months. The impact of updating $$R_t$$ R t every time a prediction is made on the forecasting accuracy of the model was investigated. We identified 5 groups of countries with distinct transmission patterns during the first 6 months of the pandemic. Early adoption of social distancing measures and a shorter gap between interventions were associated with a reduction on the duration of outbreaks. The lagged correlation analysis revealed that increased policy volume was associated with lower future $$R_t$$ R t (75 days lag), while a lower $$R_t$$ R t was associated with lower future policy volume (102 days lag). Lastly, the outbreak prediction accuracy of the model using dynamically updated $$R_t$$ R t produced an average AUROC of 0.72 (0.708, 0.723) compared to 0.56 (0.555, 0.568) when $$R_t$$ R t was kept constant. Monitoring the evolution of $$R_t$$ R t during an epidemic is an important complementary piece of information to reported daily counts, recoveries and deaths, since it provides an early signal of the efficacy of containment measures. Using updated $$R_t$$ R t values produces significantly better predictions of future outbreaks. Our results found variation in the effect of early public health interventions on the evolution of $$R_t$$ R t over time and across countries, which could not be explained solely by the timing and number of the adopted interventions.

scholarly journals Mask-Ematics: Modeling the Effects of Masks in COVID-19 Transmission in High-Risk Environments

Epidemiologia ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 207-226
Author(s):  
Anthony Morciglio ◽  
Bin Zhang ◽  
Gerardo Chowell ◽  
James M. Hyman ◽  
Yi Jiang
Keyword(s):  
Public Health ◽  
High Risk ◽  
Disease Transmission ◽  
Large Fraction ◽  
Critical Mass ◽  
Transmission Model ◽  
Reproductive Number ◽  
High Quality ◽  
Moderate Quality ◽  
Epidemic Size

The COVID-19 pandemic has placed an unprecedented burden on public health and strained the worldwide economy. The rapid spread of COVID-19 has been predominantly driven by aerosol transmission, and scientific research supports the use of face masks to reduce transmission. However, a systematic and quantitative understanding of how face masks reduce disease transmission is still lacking. We used epidemic data from the Diamond Princess cruise ship to calibrate a transmission model in a high-risk setting and derive the reproductive number for the model. We explain how the terms in the reproductive number reflect the contributions of the different infectious states to the spread of the infection. We used that model to compare the infection spread within a homogeneously mixed population for different types of masks, the timing of mask policy, and compliance of wearing masks. Our results suggest substantial reductions in epidemic size and mortality rate provided by at least 75% of people wearing masks (robust for different mask types). We also evaluated the timing of the mask implementation. We illustrate how ample compliance with moderate-quality masks at the start of an epidemic attained similar mortality reductions to less compliance and the use of high-quality masks after the epidemic took off. We observed that a critical mass of 84% of the population wearing masks can completely stop the spread of the disease. These results highlight the significance of a large fraction of the population needing to wear face masks to effectively reduce the spread of the epidemic. The simulations show that early implementation of mask policy using moderate-quality masks is more effective than a later implementation with high-quality masks. These findings may inform public health mask-use policies for an infectious respiratory disease outbreak (such as one of COVID-19) in high-risk settings.

scholarly journals Agro-Environmental Determinants of Leptospirosis: A Retrospective Spatiotemporal Analysis (2004−2014) in Mahasarakham Province (Thailand)

2021 ◽  
Vol 6 (3) ◽  
pp. 115
Author(s):  
Jaruwan Viroj ◽  
Julien Claude ◽  
Claire Lajaunie ◽  
Julien Cappelle ◽  
Anamika Kritiyakan ◽  
...  
Keyword(s):  
Public Health ◽  
Animal Health ◽  
Spatiotemporal Analysis ◽  
Health Concern ◽  
Intersectoral Collaboration ◽  
The Public ◽  
Additive Modeling ◽  
The One ◽  
And Control ◽  
Northeastern Thailand

Leptospirosis has been recognized as a major public health concern in Thailand following dramatic outbreaks. We analyzed human leptospirosis incidence between 2004 and 2014 in Mahasarakham province, Northeastern Thailand, in order to identify the agronomical and environmental factors likely to explain incidence at the level of 133 sub-districts and 1,982 villages of the province. We performed general additive modeling (GAM) in order to take the spatial-temporal epidemiological dynamics into account. The results of GAM analyses showed that the average slope, population size, pig density, cow density and flood cover were significantly associated with leptospirosis occurrence in a district. Our results stress the importance of livestock favoring leptospirosis transmission to humans and suggest that prevention and control of leptospirosis need strong intersectoral collaboration between the public health, the livestock department and local communities. More specifically, such collaboration should integrate leptospirosis surveillance in both public and animal health for a better control of diseases in livestock while promoting public health prevention as encouraged by the One Health approach.

scholarly journals The effect of social distancing on the reach of an epidemic in social networks

2021 ◽  
Author(s):  
Gregory Gutin ◽  
Tomohiro Hirano ◽  
Sung-Ha Hwang ◽  
Philip R. Neary ◽  
Alexis Akira Toda
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Social Networks ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Disease Transmission ◽  
Global Level ◽  
Social Distancing ◽  
The Public ◽  
Simulation Results

AbstractHow does social distancing affect the reach of an epidemic in social networks? We present Monte Carlo simulation results of a susceptible–infected–removed with social distancing model. The key feature of the model is that individuals are limited in the number of acquaintances that they can interact with, thereby constraining disease transmission to an infectious subnetwork of the original social network. While increased social distancing typically reduces the spread of an infectious disease, the magnitude varies greatly depending on the topology of the network, indicating the need for policies that are network dependent. Our results also reveal the importance of coordinating policies at the ‘global’ level. In particular, the public health benefits from social distancing to a group (e.g. a country) may be completely undone if that group maintains connections with outside groups that are not following suit.

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