Eimeria infection in calves under local farming system in and around Asella, Oromia regional state, Ethiopia

Bovine coccidiosis is a protozoan infection caused by different species of Eimeria which has a worldwide distribution. The disease which mainly affects calves belongs to large herd size where hygiene is not well managed and is associated with poor body condition. A cross-sectional study was conducted from November 2016 to April 2017 to determine the prevalence of bovine coccidiosis and identify the associated risk factors in semi intensive and extensive dairy farms in and around Holeta town, Finfine Zuria Liyu Zone, Oromia Regional State, Ethiopia. Fecal samples were randomly collected from three hundred and eighty four calves belonging to dairy farms and examined for the presence of the oocyts of Eimeria by floatation technique using saline solution. The study revealed that the overall prevalence of coccidiosis was 26.04%. The risk factors considered were age, sex, breed, production system, herd size, fecal consistency, body condition and hygienic status of the house. The prevalence of coccidiosis was higher within calves in poor hygienic (58.6%) dairy farms than calves from better hygienic farms (14.6%). There was also significant difference (P 10 animals (39.3%). The highest prevalence of coccidiosis was recorded in calves with diarrheic faeces (91.7%) than calves with soft, constipated and normal fecal consistency (P<0.05). Appropriate monitoring and control of the disease is advisable in the study farms. Key words: Calf, coccidiosis, dairy farms, Eimeria, Holeta, prevalence.

A large-scale cross-sectional epidemiological study was conducted to evaluate prevalence, species diversity, and associated risk factors of Eimeria infections in 55 cattle farms across seven states of Colombia, including subtropical and tropical regions. In total, 1333 fecal samples from young animals (< 1 year of age) were examined at a single sampling date from August 2016 to December 2016. Flotation and McMaster techniques were conducted for parasitological investigation. Excreted Eimeria oocysts were allowed to sporulate in vitro and thereafter identified to species level based on morphological and morphometric characteristics. The overall Eimeria prevalence was 75.5% (1006/1333), with no difference observed between age categories. In total, 13 different Eimeria species were identified. The most prevalent species was E. bovis (33.5%), followed by E. auburnensis (12.5%) and E. zuernii (11.9%). Analysis of extrinsic associated risk factors revealed the floor type, feeding system, watering system, and herd size as significant (p < 0.05) risk factors for Eimeria spp. infections. Based on these data, it can be assumed that bovine coccidiosis infections occur ubiquitously in the country and might play an important role especially in its subclinical form by affecting production parameters in conventional cattle management systems.

Dairy production is an important component of livestock farming in Ethiopia. Nevertheless, the productivity of the sector has been impacted negatively by the morbidity and mortality of replacement animals. A Cross-sectional study was, therefore, aimed at estimating the prevalence of Nematode and Eimeria infection in calves in Hawassa, Shashemene and Arsi Negelle, southern Ethiopia. To this end, a flotation technique was used to recover Nematode egg and Eimeria oocyst from rectally collected faeces. The overall prevalence of gastrointestinal parasitic infection, Nematode and Eimeria species collectively, was 43.9% (95% CI=38.6-49.4). The estimated proportion of Nematode, Eimeria and mixed infection was 35.8%, 21.5% and 13.3%, respectively. Among the potential factors considered faecal consistency, age and study area were found to increase recovery of Nematode egg and Eimeria oocyst in faeces (p&lt; 0.05). Area wise, the prevalence has been noted to be higher at Arsi Negelle followed by Hawassa and Shashemene (p&lt; 0.05). Besides, younger and diarrheic calves were found more infected by Nematode and Eimeria species than their adult and non-diarrheic counterpart. Based on their morphological appearance, Strongyle type (20.3%), Trichuris (4.2%) and Ascaris (16.3%) eggs, Eimeria oocysts (21.5%) were observed. In the light of this finding, the authors would like to advise the need for strategic intervention.

IntroductionEimeria infection is one of the protozoal diseases of animals caused by various species of Eimeria (intracellular parasite) and causes reduced productivity and mortality in ruminants, especially in young ones. Despite the fact that the disease is one of the leading causes of economic losses, there is little information in Ethiopia on the occurrence of the infection in cattle and sheep.MethodsA cross-sectional study was conducted from December 2021 to April 2022 in and around Adama and Bishoftu towns with the objectives to estimate the prevalence of Eimeria infection; identify circulating Eimeria oocysts, the intensity/burden of infection and associated risk factors of Eimeria infection in cattle and sheep. A total of 384 randomly selected (265 cattle and 119 sheep) fecal samples were collected from the rectum and examined by flotation technique using sheather’s sugar solution to detect the oocysts of Eimeria. A 2.5% potassium dichromate solution was added to the positive fecal samples for sporulation of the oocysts.Results and discussionThe overall prevalence of 48.95% Eimeria infection was recorded during the study. 45.0% and 58% prevalence of the infection was registered in cattle and sheep, respectively. There was a statistically significant difference (P ˂ 0.05) in Eimeria infection between the study animal species, age of the animals, breed, farm hygiene and management system. However, there was no significant difference in Eimeria infection (P > 0.05) in sex, body condition of the animals and fecal consistency. The maximum oocysts per gram of feces was found to be 10,000. Eimeria infection is of great importance to livestock producers and requires serious control and prevention initiatives.

A cross-sectional study was conducted from January 2021 to July 2022 with the objectives of estimating the prevalence of coccidiosis, identifying Eimeria species involved, and assessing the associated risk factors in randomly selected 9 kebeles of Sebeta town dairy farms. Three hundred five fecal samples were randomly collected from calves to examine for the presence of Oocyst of Eimeria by floatation technique using saturated salt solution. For positive samples, solution of 2.5% potassium dichromate was added to the feces containing the Ocysts for preservation and identification of the Eimeria species. The overall prevalence of coccidiosis at animal level and herd level was 57.5% (157/305) and 78.7% (48/61) respectively. The most dominant identified Eimeria species were E. zuernii, E. auburnensis and E. canadinensis with the prevalence of 45.22% (71/157), 17.83% (28/157) and 14.01(22/157) respectively. Under host related factor there was statistically significant difference (p&lt;0.05) of sex, breed and fecal consistence with infection of Eimeria species but age, body condition and herd size were not significantly associated (p&gt;0.05) with Eimeria infection. With regard to non-host related factor kebele, barn hygiene, management system, water and feed source was statistically significant (p&lt;0.05) with Eimeria infection. However, house condition and pen type were not significantly associated (p&gt;0.05) with Eimeria infection. By using univariable logistic analysis the risk of getting coccidian infection was observed in kebele, sex, breed, barn hygiene, management, water and feed source, but the risk factors such as; age, body condition, fecal consistency, herd size, house condition and pen type were found to be statistically insignificant for Eimeria infection rate (p&gt;0.05). Indeed, the study revealed that calf coccidiosis is prevalent in dairy farms of Sebeta town. Hence, appropriate disease prevention and control program need to be undertaken to reduce its impact. More ever, we recommend to use PCR diagnostic technique which is more reliable, sensitive and less time-consuming for detection of Eimeria.

A cross sectional study on Eimeria and Cryptosporidium infections in small ruminants at ELFORA export abattoir was conducted from October 2005 to February 2006. In this study, attempts were made to determine the prevalence and intensity of Eimeria and Cryptosporidium infections in sheep and goats. Moreover, potential risk factors associated with the infections and the species of Eimeria and Cryptosporidium incriminated in the infections were identified. A total of 384 fecal samples were collected and examined by flotation technique using Sheather's sugar solution to detect the oocysts of Eimeria and Cryptosporiudium species. For Cryptosporidium infection, fecal samples were also examined under a microscope using modified Kinyoun acid-fast staining technique. Measurement of oocysts to identify the species involved in the infections and determination of oocysts per gram of faeces (OPG) was also conducted. Out of the 384 fecal samples examined, 59.6% of Eimeria infection was recorded. Statistically significant variation (P < 0.001) in the prevalence rate of Eimeria infection between animal hosts and different age groups was observed. There was no significant variation (P > 0.05) observed in the mean OPG values of Eimeria between the 2 age groups of the study animals.

Optimizing the allocation schemes of post-disaster recovery resources can promote the sustainable development of a regional economy. However, previous studies determined the inputs and allocation schemes of recovery resources based on direct economic (DE) loss while neglecting indirect economic (IDE) loss, which restricted economic recovery. This study considered DE and IDE loss, and used a dynamic disastrous computable general equilibrium (CGE) model to simulate multiple scenarios with different inputs and allocation schemes to identify a better economic recovery strategy. Taking Super Typhoon Mangkhut’s landing in Guangdong Province in 2018 as an example, the results showed that the IDE loss had a long-term impact and dynamic accumulation without post-disaster recovery, reaching 15.25 times the DE loss by 2022. In the baseline scenario, the recovery resource inputs, including relief funds, reconstruction funds, and natural disaster commercial insurance, were limited, leading to a cumulative loss recovery rate of less than 2% in 2018–2022. According to our findings, recovery resources needed a 15-fold increase to recover to pre-disaster levels. Considering the impacts of sector connections on IDE loss, six allocation schemes were established based on DE loss, IDE loss, and industrial structure. Compared with the typical allocation scheme based on DE loss, allocating recovery resources according to the diffusion coefficient substantially improved the loss recovery rate and recovery resource utilization efficiency. The dynamic disastrous CGE model conducted multi-scenario simulations to identify the optimal recovery resource allocation scheme that supported rapid and efficient post-disaster economic recovery.

River floods are common natural disasters that cause serious economic damage worldwide. In addition to direct economic damage, such as the destruction of physical assets, floods with long‐lasting inundation cause direct and indirect economic losses within and outside the affected area. Direct economic losses include loss of opportunity, due to interruption of business activities, and the costs associated with emergency measures such as cleaning, while indirect economic losses affect sectors within the trade and supply network. Few studies have explicitly estimated direct and indirect economic losses in several sectors, due to the difficulty of modeling inundation depth and period at finer scales. Here we developed a global modeling framework to estimate the direct and indirect economic losses associated with floods using a computable general equilibrium model and a global river and inundation model, which can simulate the flood extent, depth, and period. Application of the method to the 2011 Thailand flood demonstrated that the estimated economic losses due to business interruption in the industry and service sectors totaled $14.7 billion, which was about two thirds of the estimated direct economic damage caused by the flood ($22.0 billion). The estimated indirect economic losses reduced the gross domestic product of Thailand by 4.81% in 2011, without considering transboundary effects, and will cause more than 0.5% reduction in gross domestic product even in 2030, resulting in $55.3 billion of total losses from 2011 to 2030. Comprehensive estimation of direct and indirect economic losses facilitates understanding of various types of flood‐related economic risks during and after a flood.

Aim:To determine the prevalence and diversity of Eimeria spp. in dairy cattle present in and around Guwahati, Kamrup district, Assam, India.Materials and Methods:A total of 2339 fecal samples of calves (535), heifer (641) and adult (1163) cattle were screened for 1 year present in and around Guwahati, Assam for detection of Eimeria oocysts by flotation techniques. Sporulation of the oocyst was done in 2.5% potassium dichromate solution for identification of the Eimeria species.Results:Examination of fecal samples revealed an overall prevalence of 11.97% Eimeria infection in dairy cattle of Guwahati, Assam. Age-wise, 33.2%, 45.4%, and 21.4% infections were recorded in calves (<1 year), heifer (1-3 years) and adult (>3 years) cattle, respectively. Season-wise, infection was recorded highest during post-monsoon (16.29%), followed by monsoon (15%), winter (9.44%), and pre-monsoon (7.49%) season. Seven species of Eimeria were recorded viz. Eimeria bovis, Eimeria zuernii, Eimeria subspherica, Eimeria bukidnonensis, Eimeria auburnensis, Eimeria ellipsoidalis and Eimeria alabamensis. The oocyst count per gram of feces ranged from 50 to 1500 in infected cattle.Conclusion:This study indicates that there is the prevalence of seven species of Eimeria in dairy cattle of Guwahati, Assam and mostly prevalent during the post-monsoon season.

A cross sectional study was conducted from November 2014 to April 2015 in and around Bahir Dar town to determine the prevalence of Coccidia infection in calves and to identify associated risk factors. Fecal samples were collected from a total of 384 randomly selected calves with the age of under 2 years. Collected fecal samples were examined for the presence of Eimeria oocyst by flotation technique. Out of 384 calves, 73 (19.01%) were found to be positive for Eimeria oocyst. Analysis of potential risk factors has revealed that; there was statistically significant difference (P 0.05) between coccidia infection with sex and breed of calves. In conclusion, the present finding has demonstrated that calf coccidia are one of the most important pathogens in calves in the study area. Therefore, further epidemiological investigations are required to determine the Eimeria species composition and different agro ecological risk factor on the occurrence of the disease.

An empirical method to estimate earthquake direct economic losses using building damages in high intensity area as a proxy

A cross-sectional study was conducted from November 2015 to March 2016 with the objectives of estimating the prevalence of coccidiosis, identifying the most known pathogenic coccidia species involved, and assessing the overall knowledge of dairy farm owners and workers on calve coccidiosis and adapted control methods in randomly selected 7 kebeles of Mekelle dairy farms. Two hundred thirty two fecal samples were randomly collected from calves belonging to seventy dairy farms and examined for the presence of oocysts of Eimeria by floatation technique using saturated salt solution. For positive samples, solution of 2.5% potassium dichromate was added to the feces containing the oocyst for sporulation and identification of the Eimeria species. The risk factors and the overall knowledge on calf coccidiosis and adapted control methods were assessed by two types of questionnaires and a prepared observational format. The overall prevalence of coccidiosis was 72.7% (169/232) and the identified Eimeria species were E. bovis and E. zuernii with the prevalence of 26.6% (45) and 11.2% (19); respectively. There was statistically significant difference (p&lt; 0.05) among various age categories with the infection of Eimeria species. However, sex and body condition of animals were not significantly associated (p &gt; 0.05) with Eimeria infection. Questioner survey result of animal health experts and owners showed 33 calves were suspected to be infected with pathogenic Eimeria spp. In conclusion, the study revealed that calf coccidiosis is prevalent in dairy farms of Mekelle. Hence, appropriate disease prevention and control program need to be undertaken to reduce its impact.Keywords: Calve; Coccidiosis; Eimeria; Mekelle; Prevalence; Risk factors

Objective: To provide scientific basis for the prevention and control of pneumoconiosis and the formulation of relevant policies, this paper discusses the loss of health life and economic loss caused by coal worker's pneumoconiosis in a mining group. Methods: From March to October 2017, 1262 cases of coal worker's pneumoconiosis were diagnosed in a mining group from 1972 to 2013. The direct and indirect economic losses are calculated by the step-by-step model method. Direct economic losses include medical expenses, one-time disability allowance, disability allowance, funeral allowance, one-time work death allowance, living and nursing expenses, food allowance, pension for supporting relatives and transportation expenses, etc. Indirect economic losses includes loss of social productivity, additional training fee for new employees, transportation fee for accompanying family members, loss of social productivity of accompanying family members, loss of production suspension and production reduction, etc. Life table method was used to calculate the loss of social productivity caused by coal worker's pneumoconiosis. Results: All 1262 coal worker's pneumoconiosis patients were male. In the stage of pneumoconiosis, 95.40% (1204/1262) of the first stage of pneumoconiosis and 42.62% (538/1262) of the seventh stage of disability. The age of diagnosis (22.02-71.33) was 47.38 years on average. 1262 coal worker's pneumoconiosis patients caused a total of 9068.54 years of health life loss, of which YLD accounted for 93.56% (8484.69/9068.54) . The loss of YLD (0.06-33.30) years in 1262 coal worker's pneumoconiosis patients was 6.70 years per capita. The total economic loss of 1262 coal workers with pneumoconiosis was 2842185447.70 yuan, with a per capita of 2252127.93 yuan. The direct economic loss accounted for 81.59% (2318990168.46/2842185447.70) , which was 4.42 times of the indirect economic loss. Among the direct economic loss per capita, medical expenses accounted for a large proportion of 50.04% (919510.84/1837551.64) . The per capita indirect economic loss is 414576.29 yuan. The loss of social productivity accounted for 56.18% (232908.95/414576.29) . Conclusion: Coal worker's pneumoconiosis causes heavy economic burden and serious loss of social productivity.

Over the past decade, numerous studies have estimated the economic impacts of a variety of disruptions. Most of these studies are based on macroeconomic models that quantify the direct and indirect economic losses from a disruption. Direct economic losses occur due to damaged facilities or when consumers change their purchasing behavior because of the disruption. Indirect economic losses occur when directly impacted businesses consequently reduce their orders to their suppliers. Indirect economic losses are often larger than direct economic losses. This paper compiles the results from these economic models in order to compare the costs of different disruptions and help decision makers prioritize among disruptions. We compare the direct and indirect economic losses from a variety of disruptions, including earthquakes, hurricanes, terrorist attacks, pandemic diseases, and port closures. Some studies model hypothetical scenarios, but other studies quantify the economic losses from historical events such as the September 11 attacks and the 2011 Japanese tsunami. This paper provides a useful benchmark to understand the consequences from disruptions and highlight areas that public officials could address in planning for future disruptions.

A workflow management system for early feeding of the European hake