scholarly journals Assessing entomological risk factors for arboviral disease transmission in the French Territory of the Wallis and Futuna Islands

2020 ◽  
Vol 14 (5) ◽  
pp. e0008250
Author(s):  
Elodie Calvez ◽  
Nicolas Pocquet ◽  
Atoloto Malau ◽  
Sosiasi Kilama ◽  
Alefosio Taugamoa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Transmission ◽  
Arboviral Disease

scholarly journals Pneumococcal Pneumonia and Invasive Pneumococcal Disease in Those 65 and Older: Rates of Detection, Risk Factors, Vaccine Effectiveness, Hospitalisation and Mortality

Geriatrics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Roger E. Thomas
Keyword(s):  
Risk Factors ◽  
Nursing Home ◽  
Invasive Pneumococcal Disease ◽  
Disease Transmission ◽  
Pneumococcal Disease ◽  
Pneumococcal Pneumonia ◽  
Clinical Symptoms ◽  
Disease Incidence ◽  
Family Members ◽  
Vaccination Rates

Pneumococcal pneumonia (PP) and invasive pneumococcal disease (IPD) are important causes of morbidity and mortality in seniors worldwide. Incidence rates and serious outcomes worsen with increasing frailty, numbers of risk factors and decreasing immune competence with increasing age. Literature reviews in Medline and Embase were performed for pneumococcal disease incidence, risk factors, vaccination rates and effectiveness in the elderly. The introduction of protein-conjugated pneumoccal vaccines (PCV) for children markedly reduced IPD and PP in seniors, but serotypes not included in vaccines and with previously low levels increased. Pneumococcal polysaccharide (PPV23) vaccination does not change nasal and pharyngeal carriage rates. Pneumococcal and influenza vaccination rates in seniors are below guideline levels, especially in older seniors and nursing home staff. Pneumococcal and influenza carriage and vaccination rates of family members, nursing home health care workers and other contacts are unknown. National vaccination programmes are effective in increasing vaccination rates. Detection of IPD and PP initially depend on clinical symptoms and new chest X ray infiltrates and then varies according to the population and laboratory tests used. To understand how seniors and especially older seniors acquire PP and IPD data are needed on pneumococcal disease and carriage rates in family members, carers and contacts. Nursing homes need reconfiguring into small units with air ventilation externally from all rooms to minimise respiratory disease transmission and dedicated staff for each unit to minimise transmision of infectious diseaases.

scholarly journals Effect of Hurricane Katrina on Arboviral Disease Transmission

2007 ◽  
Vol 13 (8) ◽  
pp. 1273-1274 ◽  
Author(s):  
Jennifer A. Lehman ◽  
Alison F. Hinckley ◽  
Krista L. Kniss ◽  
Roger S. Nasci ◽  
Theresa L. Smith ◽  
...  
Keyword(s):  
Hurricane Katrina ◽  
Disease Transmission ◽  
Arboviral Disease

scholarly journals Acute Cytauxzoon felis Cases in Domestic Cats from Eastern Kansas, a Retrospective Case-Control Study (2006–2019)

2020 ◽  
Vol 7 (4) ◽  
pp. 205
Author(s):  
Yvonne M. Wikander ◽  
Qing Kang ◽  
Kathryn E. Reif
Keyword(s):  
Risk Factors ◽  
Disease Transmission ◽  
Public Awareness ◽  
Seasonal Fluctuation ◽  
Domestic Cat ◽  
Case Review ◽  
Domestic Cats ◽  
Retrospective Case ◽  
Unrelated Control ◽  
Cytauxzoon Felis

Cytauxzoon felis, a tick-borne hemoprotozoal pathogen of felids, causes an acute, often-fatal disease in domestic cats. While public awareness of the disease has increased, few studies have evaluated the incidence of acute cytauxzoonosis cases and their associated risk factors. The objective of this study was to retrospectively review records of cats diagnosed with acute cytauxzoonosis in eastern Kansas from 2006–2019 using clinic records and determine: (i) feline cytauxzoonosis risk factors; and (ii) if cytauxzoonosis case incidence is increasing. Although inter-annual variation of acute cytauxzoonosis diagnosis was observed in the eastern Kansas domestic cat population, the overall incidence trend remained largely unchanged over the 14-year case review period. In comparison to ill (C. felis-unrelated) control cases, more acute cytauxzoonosis cases were diagnosed in spring and summer, suggesting a seasonal fluctuation of infection, with samples most commonly submitted from ≥1 year old, owned, male cats. Although cytauxzoonosis case submissions remained consistent over the broad study period, increasing tick vector and domestic cat reservoir populations may contribute to additional cytauxzoonosis case expansion in endemic areas. Investigating the incidence of acute cytauxzoonosis, patient risk factors, and ecological variables that influence disease transmission are important steps towards developing and communicating the need for effective cytauxzoonosis control strategies for high-risk cat populations.

scholarly journals Identifying Risk Factors Of A(H7N9) Outbreak by Wavelet Analysis and Generalized Estimating Equation

2019 ◽  
Vol 16 (8) ◽  
pp. 1311
Author(s):  
Qinling Yan ◽  
Sanyi Tang ◽  
Zhen Jin ◽  
Yanni Xiao
Keyword(s):  
Risk Factors ◽  
Wavelet Analysis ◽  
Disease Transmission ◽  
Media Coverage ◽  
Meteorological Factors ◽  
Impact Factors ◽  
Observation Data ◽  
Time Frequency ◽  
The Impact ◽  
H7n9 Outbreak

Five epidemic waves of A(H7N9) occurred between March 2013 and May 2017 in China. However, the potential risk factors associated with disease transmission remain unclear. To address the spatial–temporal distribution of the reported A(H7N9) human cases (hereafter referred to as “cases”), statistical description and geographic information systems were employed. Based on long-term observation data, we found that males predominated the majority of A(H7N9)-infected individuals and that most males were middle-aged or elderly. Further, wavelet analysis was used to detect the variation in time-frequency between A(H7N9) cases and meteorological factors. Moreover, we formulated a Poisson regression model to explore the relationship among A(H7N9) cases and meteorological factors, the number of live poultry markets (LPMs), population density and media coverage. The main results revealed that the impact factors of A(H7N9) prevalence are manifold, and the number of LPMs has a significantly positive effect on reported A(H7N9) cases, while the effect of weekly average temperature is significantly negative. This confirms that the interaction of multiple factors could result in a serious A(H7N9) outbreak. Therefore, public health departments adopting the corresponding management measures based on both the number of LPMs and the forecast of meteorological conditions are crucial for mitigating A(H7N9) prevalence.

scholarly journals Epidemiological characterization and risk factors associated with lentiviral infection of small ruminants at animal fairs in the semiarid Sertão region of Pernambuco, Brazilian semiarid

2017 ◽  
Vol 38 (4) ◽  
pp. 1875
Author(s):  
José Romero Alexandre Alves ◽  
Clécio Henrique Limeira ◽  
Geilson Manoel de Souza Lima ◽  
Raymundo Rizaldo Pinheiro ◽  
Francisco Selmo Fernandes Alves ◽  
...  
Keyword(s):  
Risk Factors ◽  
Traffic Control ◽  
Disease Transmission ◽  
Significant Risk ◽  
Small Ruminants ◽  
Significant Risk Factor ◽  
Disease Diagnosis ◽  
Serum Samples ◽  
Western Blots ◽  
Factors Associated

Animal agglomerations at commercial events such as trade fairs represent an important facilitator in infectious disease transmission. Thus, it is crucial to understand the epidemiology of infectious diseases in small ruminants. The objective of this study was to examine lentiviral presence in goats and sheep traded at the animal fair of Tabira city (Sertão region of Pernambuco) and identify possible risk factors associated with infection. We collected serum samples from 233 crossbred goats and 119 crossbred sheep, belonging to 12 breeders, at the Tabira livestock fair from November 2014 to June 2015. An epidemiological questionnaire was used to analyze the risk factors. Agar gel immunodiffusion (AGID) and western blotting (WB) were performed to diagnose small ruminant lentivirus (SRLV) infection. In the AGID test, we used maedi-visna virus (MVV) antigens for sheep and caprine arthritis/encephalitis virus (strain Cork) (CAEV-Co) antigen for goats. The WB analysis used CAEV-Co antigen for both species. Variables from the questionnaire were analyzed with univariate and multivariate statistics. One seropositive goat but no sheep was identified via AGID. According to the WB results, 15/233 goats (6.44%; CI95% = 3.94 - 10.35%) and 8/119 sheep (6.72%; CI95% = 3.45 - 12.71%) were seropositive, totaling 23/352 reactive animals (6.53%; CI95% = 4.39 - 9.61%) from 12 herds. Annual vermifugation of the animals was a significant risk factor (odds ratio = 5.9; CI95% = 1.7-19.8; p = 0.04) for disease in goats, but no variables associated with infection risks were identified in sheep. We concluded that SRLV was present in goats and sheep at the animal fair. Western blots were more sensitive than AGID for SRLV diagnosis. Practices aiming to improve sanitary management may reduce the risk of infection in goats. All studied herds included animals identified as seropositive for SRLV. Therefore, we recommend adopting measures that increase disease diagnosis while intensifying traffic control and surveillance of animal agglomerations.

scholarly journals Risk Factor Analysis of Brucellosis in Hulunbuir, China, Using the Propensity Score Matching Method

2021 ◽  
Vol 14 (6) ◽  
Author(s):  
Li Peng ◽  
Xiuwen Liang ◽  
Lei Zhu ◽  
Chen Liang ◽  
Chenfang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Disease Transmission ◽  
Large Scale ◽  
Zoonotic Diseases ◽  
Protective Measures ◽  
Risk Of Disease ◽  
Self Protection ◽  
Epidemiological Characteristics

Background: Brucellosis is the most widespread zoonosis worldwide and one of the most neglected zoonotic diseases. At present, large-scale farms are growing rapidly, increasing the risk of disease transmission. Objectives: In this study, the propensity score matching (PSM) method was used to analyze the epidemiological characteristics of brucellosis and explore the risk factors of brucellosis infection in Hulunbuir, Inner Mongolia, China. Methods: A questionnaire for brucellosis was designed based on general knowledge and the protection of key groups of brucellosis. Epidata 13.0 software was used to establish the questionnaire, and propensity score matching was used to select cases that met the requirements of case-controls. Results: A total of 152 cases and 456 controls were included. The results of the study show that feeding livestock, carrying lambs regularly, and raising livestock without protective measures can increase the risk of brucellosis infection. Conclusions: Behavioral factors are the main risk factors for brucellosis, and livestock keepers should strengthen self-protection when working.

scholarly journals Spatiotemporal Characteristics and Risk Factors of the COVID-19 Pandemic in New York State: Implication of Future Policies

2021 ◽  
Vol 10 (9) ◽  
pp. 627
Author(s):  
Anran Zheng ◽  
Tao Wang ◽  
Xiaojuan Li
Keyword(s):  
Risk Factors ◽  
New York ◽  
Environmental Factors ◽  
Spatial Autocorrelation ◽  
Disease Transmission ◽  
New York State ◽  
Space Time ◽  
Spatiotemporal Pattern ◽  
York State ◽  
Time Scan

The Coronavirus disease 2019 (COVID-19) has been spreading in New York State since March 2020, posing health and socioeconomic threats to many areas. Statistics of daily confirmed cases and deaths in New York State have been growing and declining amid changing policies and environmental factors. Based on the county-level COVID-19 cases and environmental factors in the state from March to December 2020, this study investigates spatiotemporal clustering patterns using spatial autocorrelation and space-time scan analysis. Environmental factors influencing the COVID-19 spread were analyzed based on the Geodetector model. Infection clusters first appeared in southern New York State and then moved to the central western parts as the epidemic developed. The statistical results of space-time scan analysis are consistent with those of spatial autocorrelation analysis. The analysis results of Geodetector showed that both temperature and population density were strong indications of the monthly incidence of COVID-19, especially in March and April 2020. There is a trend of increasing interactions between various risk factors. This study explores the spatiotemporal pattern of COVID-19 in New York State over ten months and explains the relationship between the disease transmission and influencing factors.

scholarly journals 1214. Household Transmission of Febrile Illness Measured by Smartphone-Connected Thermometers, United States, 2016-2021

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S697-S697
Author(s):  
Danielle Bloch ◽  
John Zicker ◽  
Hannah Somhegyi ◽  
Patrick Philips ◽  
Inder Singh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Transmission ◽  
Rank Correlation ◽  
Febrile Illness ◽  
Incidence Rates ◽  
Mitigation Strategies ◽  
Health Board ◽  
Secondary Transmission ◽  
Targeted Interventions ◽  
Household Transmission

Abstract Background Understanding household transmission dynamics of infectious diseases can help develop mitigation strategies. Traditional methods of population-level disease surveillance do not capture household transmission. Data collected from smartphone-connected thermometers that can differentiate among individuals in a household can be used to study these characteristics. Using this technology, we estimated the household secondary attack rate (SAR) of febrile illness, assessed its correlation with CDC-reported influenza-like illness (ILI) and COVID-19 case incidence, and identified risk factors for secondary transmission. Methods We conducted a retrospective cohort study among 596,096 febrile illness index cases recorded from August 1, 2016 to January 20, 2021 in households with two or more individuals in all 50 states. Fevers were measured using the Kinsa Smart Thermometer and mobile device app. Secondary cases were defined as household members who recorded a fever 1–10 days after an index case. We calculated SAR prior to and during the COVID-19 pandemic within the study period, and assessed correlation to ILI and COVID-19 case incidence using Spearman’s rank correlation coefficient. Bivariate and multivariable mixed logistic regression models were used to identify risk factors for secondary transmission. Results SAR in the pre-COVID-19 period was 5.9% (95% CI: 5.8%–6.0%) during flu season (November to April), and 3.7% (95% CI: 3.6%–3.7%) in flu off-season, and weekly SAR was significantly correlated with ILI reported from CDC (ρ=0.84, p< 0.001). Secondary transmission was 40% more likely to occur in households where the index case’s initial temperature was ≥ 39.1°C. During the COVID-19 period, SAR was 3.3% (95% CI: 3.3%–3.4%), and daily SAR was significantly correlated with national daily COVID-19 incidence rates (ρ=0.86, p< 0.001). Households in census tracts with >50% essential workforce were 50% more likely to experience secondary transmission. Conclusion Household SAR was highly correlated with ILI and COVID-19 cases. Capturing household transmission of febrile illness through routine public health surveillance may identify risk factors for infectious disease transmission, allowing for more targeted interventions. Disclosures Danielle Bloch, MPH, Kinsa Health (Employee, Shareholder) John Zicker, MS, Kinsa Health (Employee, Shareholder) Hannah Somhegyi, PhD, Kinsa Health (Employee, Shareholder) Patrick Philips, n/a, Kinsa Health (Employee, Shareholder) Inder Singh, n/a, Kinsa Health (Board Member, Employee, Shareholder) Amy Daitch, PhD, Kinsa Health (Employee, Shareholder)

scholarly journals Assessment of Risk Factors of African Swine Fever in India: Perspectives on Future Outbreaks and Control Strategies

Pathogens ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1044
Author(s):  
Mousumi Bora ◽  
Durlav Prasad Bora ◽  
Mohan Manu ◽  
Nagendra Nath Barman ◽  
Lakshya Jyoti Dutta ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Transmission ◽  
Control Strategies ◽  
African Swine Fever ◽  
Small Scale ◽  
Wild Pigs ◽  
Wildlife Reservoirs ◽  
Potential Risk Factors ◽  
And Control ◽  
Near Future

African swine fever (ASF) is one of the most important transboundary diseases of pigs. ASF has been identified in India for the first time in domestic pigs from outbreaks reported in two of the northeastern states, Arunachal Pradesh and Assam in 2020. A total of 11 ASF outbreaks in different regions killed over 3700 pigs and devastated the economy of small-scale livestock owners of both the states. Considering the first outbreak of ASF in India, a generic risk assessment framework was determined to identify potential risk factors that might favor future emergence of the disease. Based on the Indian scenario, we considered population density of host, farming practice, availability of biological vectors and wildlife reservoirs, epidemiological cycles, and international trade to analyze the possibility of future outbreaks of ASF and chances of establishment of endemism. On critical analysis of the identified risk factors associated with ASFV transmission, we observed that the risk factors are well preserved in the Indian geography and might participate in future outbreaks, further disseminating the disease to nearby countries. Since no vaccine is currently available against ASF, the domestic and the wild pigs (wild boars and the endangered pygmy hogs native to India) of this region are under constant threat of infection. For the near future, this region will have to continue to rely on the implementation of preventive measures to avoid the devastating losses that outbreaks can cause. The various adaptive control strategies to minimize the risks associated with the transmission of ASF, keeping our views to Indian settings, have been described. The risk-analysis framework presented in the study will give a further understanding of the dynamics of disease transmission and will help to design control strategies and corresponding measures to minimize the catastrophic consequences of ASF disease.

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