scholarly journals Ectoparasitism during an avian disease outbreak: An experiment with Mycoplasma-infected house finches and ticks

Author(s):  
Dieter J.A. Heylen ◽  
María Teresa Reinoso-Pérez ◽  
Laura Goodman ◽  
Keila V. Dhondt ◽  
André A. Dhondt
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Laren Schaper ◽  
Pierce Hutton ◽  
Kevin J. McGraw

AbstractAnimals inhabiting urban areas often experience elevated disease threats, putatively due to factors such as increased population density and horizontal transmission or decreased immunity (e.g. due to nutrition, pollution, stress). However, for animals that take advantage of human food subsidies, like feeder-visiting birds, an additional mechanism may include exposure to contaminated feeders as fomites. There are some published associations between bird feeder presence/density and avian disease, but to date no experimental study has tested the hypothesis that feeder contamination can directly impact disease status of visiting birds, especially in relation to the population of origin (i.e. urban v. rural, where feeder use/densities naturally vary dramatically). Here we used a field, feeder-cleaning experimental design to show that rural, but not urban, house finches (Haemorhous mexicanus) showed increased infection from a common coccidian endoparasite (Isospora spp.) when feeders were left uncleaned and that daily cleaning (with diluted bleach solution) over a 5-week period successfully decreased parasite burden. Moreover, this pattern in rural finches was true for males but not females. These experimental results reveal habitat- and sex-specific harmful effects of bird feeder use (i.e. when uncleaned in rural areas). Our study is the first to directly indicate to humans who maintain feeders for granivorous birds that routine cleaning can be critical for ensuring the health and viability of visiting avian species.


2017 ◽  
Vol 124 (3) ◽  
pp. 215-222 ◽  
Author(s):  
JR López ◽  
L Lorenzo ◽  
R Alcantara ◽  
JI Navas

2016 ◽  
Vol 65 (12) ◽  
Author(s):  
Naomi K. Tepper ◽  
Howard I. Goldberg ◽  
Manuel I. Vargas Bernal ◽  
Brenda Rivera ◽  
Meghan T. Frey ◽  
...  

2017 ◽  
Author(s):  
Lasantha Fernando ◽  
Sriganesh Lokanathan ◽  
Amal Shehan Perera ◽  
Azhar Ghouse ◽  
Hasitha Tissera

1991 ◽  
Vol 24 (2) ◽  
pp. 13-15 ◽  
Author(s):  
Y. Andersson

In Sweden 63 waterborne outbreaks occurred during the last 10 years. Even if these outbreaks include smaller family incidents, at least 10 community outbreaks involved more than 1,000 victims each, the largest being in the city of Boden in 1988. This outbreak hit 41% of the population with gastrointestinal symptoms and was preceded by the distribution of virtually untreated, fecally contaminated river water due to a transitory absence of chlorination.


2020 ◽  
Author(s):  
Andrew Fang ◽  
Jonathan Kia-Sheng Phua ◽  
Terrence Chiew ◽  
Daniel De-Liang Loh ◽  
Lincoln Ming Han Liow ◽  
...  

BACKGROUND During the Coronavirus Disease 2019 (COVID-19) outbreak, community care facilities (CCF) were set up as temporary out-of-hospital isolation facilities to contain the surge of cases in Singapore. Confined living spaces within CCFs posed an increased risk of communicable disease spread among residents. OBJECTIVE This inspired our healthcare team managing a CCF operation to design a low-cost communicable disease outbreak surveillance system (CDOSS). METHODS Our CDOSS was designed with the following considerations: (1) comprehensiveness, (2) efficiency through passive reconnoitering from electronic medical record (EMR) data, (3) ability to provide spatiotemporal insights, (4) low-cost and (5) ease of use. We used Python to develop a lightweight application – Python-based Communicable Disease Outbreak Surveillance System (PyDOSS) – that was able perform syndromic surveillance and fever monitoring. With minimal user actions, its data pipeline would generate daily control charts and geospatial heat maps of cases from raw EMR data and logged vital signs. PyDOSS was successfully implemented as part of our CCF workflow. We also simulated a gastroenteritis (GE) outbreak to test the effectiveness of the system. RESULTS PyDOSS was used throughout the entire duration of operation; the output was reviewed daily by senior management. No disease outbreaks were identified during our medical operation. In the simulated GE outbreak, PyDOSS was able to effectively detect an outbreak within 24 hours and provided information about cluster progression which could aid in contact tracing. The code for a stock version of PyDOSS has been made publicly available. CONCLUSIONS PyDOSS is an effective surveillance system which was successfully implemented in a real-life medical operation. With the system developed using open-source technology and the code made freely available, it significantly reduces the cost of developing and operating CDOSS and may be useful for similar temporary medical operations, or in resource-limited settings.


2019 ◽  
Vol 56 (12) ◽  
pp. 1052-1054 ◽  
Author(s):  
Dhanya Dharmapalan ◽  
Vinay K. Saxena ◽  
Shailesh D. Pawar ◽  
Tarique H. I. H. Qureshi ◽  
Priyanka Surve

Acta Tropica ◽  
2021 ◽  
Vol 215 ◽  
pp. 105803
Author(s):  
Jackeline Monsalve-Lara ◽  
Maurício Lilioso ◽  
Carolina Valença-Barbosa ◽  
Patricia J Thyssen ◽  
Danilo C Miguel ◽  
...  

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