Literature DB >> 28098070

Epidemiology of Cryptosporidium infection in cattle in China: a review.

Chao Gong1, Xue-Feng Cao1, Lei Deng1, Wei Li1, Xiang-Ming Huang2, Jing-Chao Lan2, Qi-Cheng Xiao1, Zhi-Jun Zhong1, Fan Feng1, Yue Zhang1, Wen-Bo Wang3, Ping Guo3, Kong-Ju Wu2, Guang-Neng Peng1.   

Abstract

The present review discusses the findings of cryptosporidiosis research conducted in cattle in China and highlights the currently available information on Cryptosporidium epidemiology, genetic diversity, and distribution in China, which is critical to understanding the economic and public health importance of cryptosporidiosis transmission in cattle. To date, 10 Cryptosporidium species have been detected in cattle in China, with an overall infection rate of 11.9%. The highest rate of infection (19.5%) was observed in preweaned calves, followed by that in juveniles (10.69%), postweaned juveniles (9.0%), and adult cattle (4.94%). The dominant species were C. parvum in preweaned calves and C. andersoni in postweaned, juvenile, and adult cattle. Zoonotic Cryptosporidium species (C. parvum and C. hominis) were found in cattle, indicating the possibility of transmission between humans and cattle. Different cattle breeds had significant differences in the prevalence rate and species of Cryptosporidium. This review demonstrates an age-associated, breed-associated, and geographic-related occurrence of Cryptosporidium and provides references for further understanding of the epidemiological characteristics, and for preventing and controlling the disease. © C. Gong et al., published by EDP Sciences, 2017.

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Year:  2017        PMID: 28098070      PMCID: PMC5264544          DOI: 10.1051/parasite/2017001

Source DB:  PubMed          Journal:  Parasite        ISSN: 1252-607X            Impact factor:   3.000


Introduction

Diarrhea is a common clinical symptom of various conditions and is harmful to animals. The causative agents include bacteria such as enterotoxigenic Escherichia coli (ETEC), viruses such as rotavirus, and parasites or other possible factors [10, 19]. Cryptosporidium, as an important protozoan parasite, can cause parasitic diarrhea in animals. This parasite has a broad distribution range in both developing and developed countries and can infect various hosts, including humans, domestic animals, and wildlife [26]. Infection with Cryptosporidium in cattle results in clinical symptoms such as diarrhea, abdominal pain, nausea, vomiting, and weight loss; however, such infections are generally not lethal [43]. Cattle, as a major domestic animal, can be infected by Cryptosporidium. Currently, Cryptosporidium infections in cattle are usually associated with four main species, i.e., C. parvum, C. andersoni, C. ryanae, and C. bovis. However, other species, including C. suis, C. hominis, C. serpentis, C. xiaoi, C. ubiquitum, C. meleagridis, C. muris, and C. felis, have also been identified in cattle [1, 3, 5, 6, 12, 13, 42, 48, 49]. The infection sites for different Cryptosporidium species vary and include the stomach, intestines, and respiratory tissues [36]. In cattle, C. andersoni mainly causes mucosal damage in the abomasums, whereas C. parvum, C. ryanae, and C. bovis usually result in villus atrophy, microvillus shortening, and destruction in the intestine [10, 15, 35]. C. parvum commonly infects humans as well as cattle, while C. andersoni and C. bovis have occasionally been reported in humans [40, 41]. Therefore, infected cattle are considered potentially important reservoirs of Cryptosporidium for human infections. A recent study demonstrated that zoonotic transmission may occur between cattle and farm workers due to close contact between cattle and humans [11, 33]. Although several studies have reported infections of cattle with Cryptosporidium species, there are no effective treatments and vaccines available for Cryptosporidium infection in China. Therefore, the purpose of this study was to determine the prevalence, genotypes, and subtypes of Cryptosporidium in China, evaluate age and breed-related differences in the incidence of this infection, and assess differences in the geographic distributions of Cryptosporidium species in China by reviewing a number of available published sources and data.

Data sources and statistical analysis

We carried out a literature search without a language limitation in PubMed and the China National Knowledge Infrastructure (CNKI), covering all published papers until 2016, using a combination of the following keywords: Cryptosporidium, cattle, China. If an article in a language other than English was found, the abstract was screened, and the full text was reviewed to determine whether any additional information was included. Chi-squared tests were used to compare Cryptosporidium infection rates, and differences with p values of less than 0.05 were considered significant.

Results

Prevalence of Cryptosporidium infection in cattle in different regions of China

In China, the first report of Cryptosporidium in cattle was published in 1986 in Lanzhou, which is located in Gansu Province [8]. According to the available published sources, Cryptosporidium species are distributed within 19 provinces in China, including northern China (Tianjin [31] and Inner Mongolia [52]), northeastern China (Heilongjiang [25, 55, 58]), eastern China (Shanghai [5, 59], Jiangsu [5], Anhui [5, 23, 51], Shandong [29], and Taiwan [46]), southern and central China (Henan [7, 16, 20, 24, 27, 29, 36, 44, 45], Hunan [29], Guangdong [47], and Guangxi [17, 50]), southwestern China (Sichuan [37] and Tibet [37]), and northwestern China (Gansu [37, 38, 56], Qinghai [2, 21, 28, 30, 32, 37, 54, 59], Ningxia [9, 18, 56], Xinjiang [14], and Shanxi [57]) (Tables 1 and 2). The overall infection rate was 11.9%, and infection rates varied significantly for different regions/provinces (p < 0.05). The regions with the highest infection rates were Taiwan, Inner Mongolia, Shandong, Hunan, and Qinghai. The regions with the lowest infection rates were Shanxi, Guangxi, Sichuan, Ningxia, and Gansu.
Table 1.

Infection rates with Cryptosporidium in cattle in different regions of China.

LocationSample no.No. of positive samplesInfection rate (%)Detection methodsReference
Tianjin136118.09a[31]
Inner Mongolia711622.54a[52]
Heilongjiang148325717.33a + b[25, 55, 58]
Shanghai4976713.48a + b[5, 59]
Jiangsu131525119.09a + b[5]
Anhui16661478.82a, a + b[5, 23, 51]
Shandong1483624.3b[29]
Henan434872716.72a, b, a + b[7, 16, 20, 24, 25, 27, 34, 44, 45]
Hunan1814323.8b[29]
Guangdong1087928.46a[47]
Guangxi1438362.50a, a + b[17, 50]
Sichuan8411.19b[37]
Tibet4449.09b[37]
Gansu1450694.76b[37, 38, 56]
Qinghai200442621.28a, b, a + b, IFT + b[2, 21, 28, 30, 32, 37, 53, 58]
Ningxia30541153.76b, a + b[18, 56]
Xinjiang5148216.0b[14]
Shanxi2071703.4b[57]
Taiwan46017337.6a + b, IFT[46]
Total22051262311.9

Notes. a: by microscopy; b: by molecular methods; a + b: by microscopy and molecular methods; IFT: immunofluorescence test.

Table 2.

Species and subtypes of Cryptosporidium in cattle in different regions of China.

LocationIdentified speciesSubtypesReference
Tianjin C. parvum, C. muris [31]*
Heilongjiang C. andersoni (210), C. bovis (34), C. parvum (2), C. ryanae (6), C. meleagridis (5)IIdA19G1 (1), IIIeA22G2R (3), A5A4A4A1 (5), A4A4A4A1 (33), A4A4A2A1 (2), A2A4A4A1 (2), A2A4A2A1 (1), A1A4A4A1 (2)[25, 55, 58]
Anhui C. parvum, C. muris [5, 23, 51]*
Shandong C. andersoni (11), C. bovis (13), C. ryanae (10)[29]
Henan C. andersoni (322), C. bovis (132), C. parvum (91), C. ryanae (30), C. muris (49), C. ryanae + C. bovis (11), C. parvum + C. bovis (6), C. parvum + C. ryanae (4), C. parvum + C. andersoni (3), C. suis-like (2)IIdA19G1 (67)[7, 18, 20, 24, 27, 29, 34, 44], [45]*
Hunan C. bovis (7), C. ryanae (33)[29]
Guangdong C. muris (92)[47]
Guangxi C. parvum, C. andersoni (1) *[17],[50]
Sichuan C. parvum (1)[37]
Tibet C. parvum (4)IIdA19G1 (1)[37]
Gansu C. andersoni (18), C. bovis (34), C. parvum (3), C. ryanae (13), C. ubiquitum (1)IIdA15G1 (3), XIIa (1)[37, 38, 56]
Qinghai C. andersoni (3), C. bovis (91), C. parvum (21), C. ryanae (38), C. ubiquitum (1), C. xiaoi (1), C. ryanae + C. bovis (4), C. parvum + C. bovis (2), new Cryptosporidium genotype (4)IIaA15G2R1 (8), IIaA16G2R1 (2), IIaA14G1R1 (1), IIaA14G2R1 (1), IIaA16G3R1 (1), IIdA15G1 (1)[2, 21, 28, 30, 32, 37, 54, 59]
Ningxia C. andersoni (23), C. bovis (45), C. parvum (34), C. ryanae (13)IIdA15G1 (34)[18, 56]
Xinjiang C. andersoni (25), C. bovis (20), C. parvum (22), C. ryanae (9), C. ryanae + C. bovis (4), C. parvum + C. bovis (2)IIdA14G1 (4), IIdA15G1 (11)[14]
Shanxi C. andersoni (70)A4A4A4A1 (26), A1A4A4A1 (26), A2A4A4A1 (3), A4A4A2A1 (1)[57]
Taiwan C. parvum (173)[46]
Total C. andersoni (683), C. bovis (376), C. parvum (351) C. ryanae (152), C. muris (141), C. ubiquitum (2), C. meleagridis (5), C. xiaoi (1), C. suis-like (2), C. ryanae + C. bovis (19), C. parvum + C. bovis (10), C. parvum + C. ryanae (4), C. parvum + C. andersoni (3), New Cryptosporidium genotype (4)IIaA14G1R1 (1), IIaA14G2R1 (1), IIaA15G2R1 (8), IIaA16G2R1 (2), IIaA16G3R1 (1), IIdA14G1 (4), IIdA15G1 (49), IIdA18G1 (1), IIdA19G1 (69), IIIeA22G2R1 (3), XIIa (1), A5A4A4A1 (5), A4A4A4A1 (59), A4A4A2A1 (3), A2A4A4A1 (5), A2A4A2A1 (2), A1A4A4A1 (28)

Study does not report the number of Cryptosporidium species separately.

Infection rates with Cryptosporidium in cattle in different regions of China. Notes. a: by microscopy; b: by molecular methods; a + b: by microscopy and molecular methods; IFT: immunofluorescence test. Species and subtypes of Cryptosporidium in cattle in different regions of China. Study does not report the number of Cryptosporidium species separately. More than 10 species of Cryptosporidium, including C. andersoni, C. bovis, C. parvum, C. ryanae, C. muris, C. ubiquitum, C. meleagridis, C. xiaoi, C. suis-like, mixed Cryptosporidium infection, and new Cryptosporidium genotypes, have been reported in cattle in China; the most common Cryptosporidium infections in cattle were caused by C. bovis, C. parvum, C. ryanae, and C. muris, whereas the other species were only found on occasion. A variety of Cryptosporidium subtypes have been reported in China, including IIa subtypes (IIaA14G1R1, IIaA14G2R1, IIaA15G2R1, IIaA16G2R1, and IIaA16G3R1) and IId subtypes (IIdA14G1, IIdA15G1, IIdA18G1, and IIdA19G1) for C. parvum. Six C. andersoni subtypes were identified, including A5A4A4A1, A4A4A4A1, A4A4A2A1, A2A4A4A1, A2A4A2A1, and A1A4A4A1. The identified subtypes of C. meleagridis and C. ubiquitum were IIIeA22G2R1 and XIIa, respectively.

Distributions of Cryptosporidium species/subtypes in cattle of different age groups in China

Cattle can be classified into four groups according to age: preweaned, postweaned, juvenile, and adult. The average infection rates in cattle differed according to age, ranging from 4.94% in adult cattle to 9.0%, 12.69%, and 19.5% in postweaned cattle, juvenile cattle, and preweaned cattle, respectively (p < 0.05; Table 3). Significant differences in average infection rates were noted among all age groups (p < 0.05). Previous studies in the USA have indicated that C. parvum is responsible for about 85–97% of Cryptosporidium infections in preweaned calves but only 1–4% of Cryptosporidium infections in postweaned calves and heifers [22]. The highest infection rates in each age group were 27.4% in adults, 28.8% in postweaned cattle, 31.7% in juvenile cattle, and 80% in preweaned cattle.
Table 3.

Distribution of Cryptosporidium species/subtypes in cattle of different ages.

AgeNo. specimensNo. positive Cryptosporidium species (no.)SubtypeInfection rate (%)Reference
Preweaned2734533 C. andersoni (88), C. bovis (178), C. parvum (185), C. ryanae (50), C. bovis + C. ryanae (11), C. parvum + C. bovis (8), C. parvum + C. ryanae (4), C. parvum + C. andersoni (3), C. meleagridis (5)IIdA14G1 (4); IIdA15G1 (92); IIdA19G1 (68); IIIeA22G2R1 (3); A4, A4, A4, A1 (3)19.5[1, 17, 23, 25, 30, 48, 52, 59]
Postweaned3601324 C. andersoni (231), C. bovis (59), C. parvum (15), C. ryanae (15), C. bovis + C. ryanae (3)IIdA15G1 (2); A4, A4, A4, A1 (11); A2, A4, A4, A1 (1); A2, A4, A2, A1 (1); A1, A4, A4, A1 (10)9.0[1, 3, 17, 25, 29, 43, 52, 59]
Juveniles2685287 C. andersoni (214), C. bovis (45), C. parvum (3), C. ryanae (15), C. xiaoi (1), C. suis-like (2), C. bovis + C. ryanae (2)A5A4, A4, A1 (5); A4, A4, A4, A1 (42); A4, A4, A2, A1 (3); A2, A4, A4, A1 (4); A2, A4, A2, A1 (1); A1, A4, A4, A1 (9)10.69[25, 28, 29, 32, 44, 56, 57, 58]
Adults3196158 C. andersoni (108), C. bovis (22), C. ryanae (18), C. ubiquitum (1), new Cryptosporidium genotype (2)A4, A4, A4, A1 (3); A1, A4, A4, A1 (9)4.94[18, 25, 28, 29, 44, 56, 57]
Distribution of Cryptosporidium species/subtypes in cattle of different ages. The prevalence of specific Cryptosporidium species/subtypes was also varied among the different age groups of cattle. In preweaned cattle, C. bovis and C. parvum were the dominant Cryptosporidium species, and subtypes of IIdA14G1 [1], IIdA15G1 [22, 50, 57], IIdA19G1 [47], and IIIeA22G2R1 [47] were relatively common, with IIdA15G1 being the most prevalent. C. andersoni [1, 16, 24, 28, 47, 50], C. ryanae [1, 16, 24, 47, 50, 57], C. meleagridis [47], and mixed infection [1, 22, 24, 43] were also occasionally identified in preweaned cattle. In postweaned cattle, C. andersoni [1, 3, 16, 24, 28, 42, 50] was the most abundant species, and C. bovis [1, 16, 24, 28, 42, 50, 57], C. parvum [28, 50, 57], C. ryanae [1, 3, 24, 50], and mixed infection with C. bovis and C. ryanae [1] were rarely detected. Four subtypes of C. andersoni [16], characterized as A4A4A4A1, A1A4A4A1, A2A4A4A1, and A2A4A2A1, were also detected, whereas only one subtype (IIdA15G1) was identified for C. parvum [50]. The latter two subtypes for C. andersoni were considered the most prevalent. Juvenile cattle were found to be infected with C. andersoni [25, 28, 29, 44, 56–58], C. bovis [28, 29, 32], C. parvum [32], C. ryanae [28, 29, 32], C. xiaoi [28], C. suis-like [29], and mixed infection with C. bovis and C. ryanae [32]. The following C. andersoni [57, 58] subtypes were identified: A5A4A4A1, A4A4A4A1, A4A4A2A1, A2A4A4A1, A2A4A2A1, and A1A4A4A1. Adult cattle could be infected with C. andersoni [18, 25, 28, 29, 44, 56, 57], C. bovis [28, 29, 56], C. ryanae [28, 29], C. ubiquitum [28], and new genotypes [28]. No mixed Cryptosporidium infections were found in adult cattle. C. andersoni [57] formed two subtypes, i.e., A4A4A4A1 and A1A4A4A1. In summary, C. andersoni, C. bovis, C. ryanae, and C. parvum were the most common Cryptosporidium species in cattle in China. C. andersoni was commonly found in postweaned, juvenile, and adult cattle, but had a relatively low prevalence in preweaned cattle. In contrast, C. bovis was mostly found in preweaned cattle. C. ryanae was more common in preweaned cattle than in cattle of other ages. C. parvum was mostly distributed in preweaned cattle.

Distribution of Cryptosporidium species/subtypes in different cattle breeds in China

There are four main domesticated ungulate species in China, namely, dairy cattle, beef cattle, buffalo, and yaks. The prevalence of Cryptosporidium in different cattle breeds varied from 8.09% in beef cattle to 23.8% in buffalo (Table 4). The prevalence of Cryptosporidium in dairy cattle ranged from 1.68% to 47.68%, with an average infection rate of 10.44%. In yaks, the prevalence rate of Cryptosporidium infection ranged from 4% to 39.74%, with an average of 18.13%. In contrast, that in beef cattle ranged from 4.49% to 26.5%, with an average of 8.09%. The results of Chi-square tests showed that the prevalence differed significantly among the breed groups (p < 0.05). Moreover, the infection rates of dairy cattle were significantly different from those of beef cattle, buffalo, and yaks, with Chi-square values of 5.590, 33.347, and 108.509, respectively (p < 0.05). The differences between beef cattle and yaks, and between beef cattle and buffalo, were also statistically significant (p < 0.05). Several Cryptosporidium species, including C. andersoni, C. bovis, C. parvum, C. ryanae, C. meleagridis, C. suis-like, C. parvum (“mouse” genotype), C. hominis, C. serpentis, and mixed infection, have been reported in dairy cattle in China. C. andersoni was the dominant species in dairy cattle, and other species showed low infection rates. In dairy cattle, subtypes A4A4A4A1, A1A4A4A1, IIdA15G1, IIdA19G1, IIdA14G1, and IIIeA22G2R1 have been identified in China. Moreover, IIdA15G1 was the most common subtype of C. parvum, and A1A4A4A1 was the most common subtype of C. andersoni. In beef cattle, C. andersoni, C. bovis, C. ryanae, and mixed infection with C. ryanae and C. bovis were identified, with C. andersoni as the most prevalent species. In buffalo, C. bovis and C. ryanae infections have been reported. In yaks, C. andersoni, C. bovis, C. parvum, C. ryanae, C. ubiquitum, C. xiaoi, new Cryptosporidium genotypes, and mixed infection were found, with C. bovis having the highest prevalence, followed by C. ryanae and C. parvum. IIaA15G2R1 was the most endemic subtype, and IIaA14G1R1, IIaA14G2R1, IIaA16G2R1, IIaA16G3R1, IIdA15G1, IIdA18G1, IIdA19G1, and XIIa were also detected.
Table 4.

Distribution of Cryptosporidium species/subtypes in dairy cattle, beef cattle, buffalo, and yaks.

HostNo. samplesNo. positive Cryptosporidium species (no.)SubtypeInfection rate (%)Reference
Dairy cattle127431330 C. andersoni (475), C. bovis (321), C. parvum (165), C. ryanae (74), C. meleagridis (5), C. suis-like (2), C. ryanae + C. bovis (14), C. parvum + C. bovis (8), C. parvum + C. ryana (4), C. parvum + C. andersoni (3), C. parvum ‘mouse’ genotype (185), C. hominis (24), C. serpentis (4)A4A4 A4A1 (1), A1A4 A4A1 (26), IIdA15G1 (97), IIdA19G1 (68), IIdA14G1 (4), IIIeA22G2R1 (3)10.44[5, 7, 9, 14, 18, 24, 25, 44, 45, 5457]
Beef101382 C. andersoni (53), C. bovis (16), C. ryanae (6), C. ryanae + C. bovis (1)A4A4A4A1 (25), A2A4A4A1 (3), A2A4A2A1 (1), A4A4A2A1 (1)8.09[29, 57]
Buffalo18143 C. bovis (7), C. ryanae (33)23.8[29]
Yaks2201399 C. andersoni (3), C. bovis (96), C. parvum (28), C. ryanae (41), C. ubiquitum (2), C. xiaoi (1), new Cryptosporidium genotype (4), C. bovis + C. ryanae (4), C. parvum + C. bovis (2)IIaA14G1R1 (1), IIaA14G2R1 (1), IIaA15G2R1 (8), IIaA16G2R1 (2), IIaA16G3R1 (1), IIdA15G1 (3), IIdA18G1 (1), IIdA19G1 (1), XIIa (1)18.13[2, 21, 29, 30, 32, 37, 38, 54, 59]
Distribution of Cryptosporidium species/subtypes in dairy cattle, beef cattle, buffalo, and yaks. In summary, C. andersoni was the most common species of Cryptosporidium in beef cattle. C. bovis was identified as the predominant species responsible for yak infection, whereas C. ryanae was considered as the most prevalent in buffalo. C. parvum was more infectious to dairy cattle and yaks in China.

Prevention and treatment

In developing countries, a major obstacle for disease control is the lack of effective methods to control Cryptosporidium infection and to decrease environmental contamination with oocysts [4]. In China, preventive hygiene measures and good management should be carried out to prevent the infection of cattle with Cryptosporidium spp. In calves, timely colostrum feeding is the simplest and most effective method to prevent diarrhea. For postweaned calves, the use of straw in pens and high-pressure cleaning has been shown to have preventive effects against contamination by Cryptosporidium oocysts [53]. The drugs used for the treatment of cryptosporidiosis include sulfadoxine-pyrimethamine, trimethoprim-sulfamethoxazole, quinacrine, pentamidine, bleomycin, elliptinium, alpha-difluoro-methylornithine, daunorubicin, and diclazuril. However, in an immunosuppressed rat model, none of these drugs were able to completely cure the disease [22]. Paromomycin and nitazoxanide are the only two drugs that have been analyzed in well-controlled clinical trials and have been shown to have some degree of efficacy [39]. More studies are needed to identify appropriate approaches to control Cryptosporidium infection and decrease contamination by oocysts in cattle farms.

Conclusion

Cryptosporidium is widely distributed in cattle in China. Ten species have been identified and C. andersoni, C. bovis, C. parvum, and C. ryanae are the most common. Epidemiological analysis showed that there were significant differences in infection rates and species according to geography, age, and breed. In China, the highest infection rate was observed in preweaned cattle, the regions with high rates of infection were in eastern and northern China, while the most common Cryptosporidium species in cattle were C. andersoni, C. bovis, C. ryanae, and C. parvum. In addition, other factors, including examination methods and sample sizes (affecting the sensitivity and accuracy of the results), sanitation conditions (affecting the existence of Cryptosporidium), rearing conditions (influencing the health and immune status of cattle), and climate (influencing the survival of Cryptosporidium oocysts), may contribute to the occurrence of cryptosporidiosis. There are no effective treatments currently approved for this parasite, and preventive measures are difficult. For example, cattle owners should improve management, sanitation, and disinfection protocols and attempt to keep breeding houses clean and dry. Cattle should not be grazed in areas with a high occurrence of Cryptosporidium. Additionally, nutritional conditions should be optimized, and the government should aim to create awareness of the importance of hygiene promotion and reinforce support of Cryptosporidium research. The development of vaccines for this parasite may substantially improve outlooks. Importantly, C. parvum and C. hominis in cattle may have zoonotic potential. People in affected areas should pay careful attention to hygiene. Additionally, more studies should be conducted to fully elucidate the pathogenesis and epidemiology of bovine Cryptosporidiosis. The findings of this study, which represent the first comprehensive analysis of Cryptosporidium prevalence in cattle in China, may contribute to a better understanding of the epidemiological features of Cryptosporidium in cattle.
  39 in total

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2.  Characteristics of Cryptosporidium transmission in preweaned dairy cattle in Henan, China.

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Review 3.  New developments in Cryptosporidium research.

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Review 4.  Zoonotic cryptosporidiosis.

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Journal:  FEMS Immunol Med Microbiol       Date:  2008-01-18

5.  Giardia and Cryptosporidium in dairy calves in British Columbia.

Authors:  M E Olson; N J Guselle; R M O'Handley; M L Swift; T A McAllister; M D Jelinski; D W Morck
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6.  Prevalence and genotyping of Cryptosporidium in three cattle husbandry systems in Zambia.

Authors:  T Geurden; F Y Goma; J Siwila; I G K Phiri; A M Mwanza; S Gabriel; E Claerebout; J Vercruysse
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7.  Prevalence and age-related variation of Cryptosporidium species and genotypes in dairy calves.

Authors:  Mónica Santín; James M Trout; Lihua Xiao; Ling Zhou; Ellis Greiner; Ronald Fayer
Journal:  Vet Parasitol       Date:  2004-06-21       Impact factor: 2.738

8.  Prevalence and genetic characterization of Cryptosporidium, Enterocytozoon, Giardia and Cyclospora in diarrheal outpatients in China.

Authors:  Hua Liu; Yujuan Shen; Jianhai Yin; Zhongying Yuan; Yanyan Jiang; Yuxin Xu; Wei Pan; Yuan Hu; Jianping Cao
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9.  Molecular characterization of Cryptosporidium spp. and Giardia duodenalis from yaks in the central western region of China.

Authors:  Meng Qi; Jinzhong Cai; Rongjun Wang; Junqiang Li; Fuchun Jian; Jianying Huang; Huan Zhou; Longxian Zhang
Journal:  BMC Microbiol       Date:  2015-05-21       Impact factor: 3.605

10.  Genotyping Cryptosporidium andersoni in cattle in Shaanxi Province, Northwestern China.

Authors:  Guang-Hui Zhao; Wan-Xin Ren; Man Gao; Qing-Qing Bian; Bing Hu; Mei-Mei Cong; Qing Lin; Rong-Jun Wang; Meng Qi; Mao-Zhen Qi; Xing-Quan Zhu; Long-Xian Zhang
Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

View more
  10 in total

1.  Inhibitory activity of chitosan nanoparticles against Cryptosporidium parvum oocysts.

Authors:  Shahira A Ahmed; Heba S El-Mahallawy; Panagiotis Karanis
Journal:  Parasitol Res       Date:  2019-06-11       Impact factor: 2.289

2.  Occurrence and Molecular Characterization of Cryptosporidium spp. in Dairy Cattle and Dairy Buffalo in Yunnan Province, Southwest China.

Authors:  Ying-Wen Meng; Fan-Fan Shu; Li-Hua Pu; Yang Zou; Jian-Fa Yang; Feng-Cai Zou; Xing-Quan Zhu; Zhao Li; Jun-Jun He
Journal:  Animals (Basel)       Date:  2022-04-15       Impact factor: 3.231

3.  Molecular detection of Cryptosporidium: an emerging parasite in different water sources of 2010 flood-affected district Nowshera, Pakistan.

Authors:  Shaukat Ali Khan; Imran Khan; Izaz Ali; Amir Muhammad Khan; Muhammad Anees; Khurshaid Ali Khan; Wajid Rashid; Noorul Akbar
Journal:  Arch Microbiol       Date:  2021-06-13       Impact factor: 2.552

Review 4.  Molecular Epidemiology of Cryptosporidiosis in China.

Authors:  Yaoyu Feng; Lihua Xiao
Journal:  Front Microbiol       Date:  2017-09-06       Impact factor: 5.640

5.  Common occurrence of Cryptosporidium hominis in asymptomatic and symptomatic calves in France.

Authors:  Romy Razakandrainibe; El Hadji Ibrahima Diawara; Damien Costa; Laetitia Le Goff; Denis Lemeteil; Jean Jacques Ballet; Gilles Gargala; Loïc Favennec
Journal:  PLoS Negl Trop Dis       Date:  2018-03-29

6.  Occurrence and genotyping of Giardia duodenalis and Cryptosporidium in pre-weaned dairy calves in central Sichuan province, China.

Authors:  Zhijun Zhong; Jiaming Dan; Guangwen Yan; Rui Tu; Yinan Tian; Suizhong Cao; Liuhong Shen; Junliang Deng; Shumin Yu; Yi Geng; Xiaobin Gu; Ya Wang; Haifeng Liu; Guangneng Peng
Journal:  Parasite       Date:  2018-09-04       Impact factor: 3.000

7.  Molecular investigation of Cryptosporidium and Giardia in pre- and post-weaned calves in Hubei Province, China.

Authors:  Yingying Fan; Tao Wang; Anson V Koehler; Min Hu; Robin B Gasser
Journal:  Parasit Vectors       Date:  2017-10-25       Impact factor: 3.876

8.  Effect of immunoglobulin G concentration in dairy cow colostrum and calf blood serum on Cryptosporidium spp. invasion in calves.

Authors:  Alīna Derbakova; Maksims Zolovs; Dace Keidāne; Žanete Šteingolde
Journal:  Vet World       Date:  2020-01-24

9.  Prevalence and molecular characterization of Cryptosporidium spp. and Giardia duodenalis in dairy cattle in Gansu, northwest China.

Authors:  Yilin Wang; Jianke Cao; Yankai Chang; Fuchang Yu; Sumei Zhang; Rongjun Wang; Longxian Zhang
Journal:  Parasite       Date:  2020-11-18       Impact factor: 3.000

10.  Cryptosporidium infection in cattle and humans in Ethiopia: A systematic review and meta-analysis.

Authors:  Zewdu Seyoum Tarekegn; Yeshifana Tigabu; Haileyesus Dejene
Journal:  Parasite Epidemiol Control       Date:  2021-07-13
  10 in total

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