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Cryptosporidium in human-animal-environment interphase at Adama and Asella areas of Oromia regional state, Ethiopia



In Ethiopia, several studies have reported the occurrence of Cryptosporidium infection in young calves, lambs, and HIV positive patients. However, research on cattle and sheep of all ages, as well as humans, has been limited.


A cross-sectional study was conducted to investigate the occurrence of Cryptosporidium in dairy cattle, sheep, humans, and manure samples. Dairy cattle and sheep were stratified according to their age groups and randomly sampled. Stool samples from volunteered dairy farm workers and rural household members were collected purposefully. A semi-structured questionnaire was also used to collect information about manure handling practices and socio-demographic variables. All collected samples were processed with the sugar floatation technique and the modified Ziehl–Neelsen staining method. Logistic regression was used to analyze the association of risk factors with the occurrence of Cryptosporidium in study subjects (p < 0.05).


The overall prevalence of Cryptosporidium in dairy cattle, sheep, humans, and manure samples was 20.5%, 14%, 16%, and 13.20%, respectively. Cryptosporidium infection was significantly higher in dairy cattle aged 1–12 months and 13–36 months with odds of 3.48 and 3.07 times higher, respectively, compared to others. Similarly, its occurrence was 2.69 times higher in sheep aged 1–6 months than those above 6 months. And also, a higher average oocyst count (above 10 oocysts) per-field was observed in cattle aged 1–12 months, followed by sheep aged 1–6 months. Furthermore, the likelihood of infection was 13 times greater in farm workers compared to household members of smallholder farmers. In addition, the occurrence of oocysts was 22.8 times higher in manures from dairy cattle than that of sheep. About 16.8% of the study respondents had manure disposal pit, 98.1% of them used manure as fertilizer for crop and vegetable production without any treatment.


The study revealed the occurrence of Cryptosporidium infection in all age groups of dairy cattle and sheep, humans engaged in animal production. Occurrence of Cryptosporidium in manure suggests it potential contamination of environment and water sources.

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Cryptosporidium is a unicellular protozoan parasite that causes cryptosporidiosis in a variety of animals, including humans. Though the parasite was discovered by Tyzzer [1] in laboratory mice in 1907, it’s the clinical significance in animals and humans was not recognized for 70 years, until the parasites were discovered in an 8-month-old calf with chronic diarrhea in 1971 [2]. Later, in Australia, the infection was discovered in lambs with diarrhea [3], and further investigations on natural and experimental infections have established its role as a key etiological agent in bovine diarrhea [4].

According to a recent study, more than 44 Cryptosporidium species have been identified [5]. From these, Cryptosporidium parvum, Cryptosporidium bovis, Cryptosporidium andersoni, and Cryptosporidium ryanae are the major species infecting cattle. Sheep are infected with three main Cryptosporidium species; Cryptosporidium parvum, Cryptosporidium ubiquitum, and Cryptosporidium xiaoi, and humans are mostly infected with Cryptosporidium parvum (the most zoonotic species), and Cryptosporidium hominis [6]. Other Cryptosporidium species are also reported from different animals, and each of which has its own prevalence, geographic range, and public health significance [7].

The infection is transmitted to animals and humans orally through the ingestion of sporulated oocysts. The sexual and asexual life cycles are completed in the same host (monoxenoes) and have a unique location within the host cell, situated between the cytoplasm and the cell membrane.

[8], [9]. Even though Cryptosporidium infection causes clinical disease in neonatal calves and lambs, there is evidence of reduced milk production in cows during shedding of Cryptosporidium andersoni [10]. The economic losses associated with this disease are not only due to mortality but also to production loss, retarded growth, and the cost of treatment [11].

In particular, neonatal calves and lambs are vulnerable to Cryptosporidium infection and shed millions of oocysts, resulting in enormous environmental contamination and a risk of infection to other animals and humans [12]. Meanwhile, asymptomatic weaned and adult cattle also excrete oocysts into the environment [13]. According to Scott et al. [14], a single adult bovine might possibly excrete more than 36 million oocysts every day. Other researchers indicated that the sub-clinically infected ewes are also a source of infection for lambs, especially during the peri-parturient period [15]. Without adequate control, this contamination represents a human health hazard because infected animals could shed up to 107 oocysts per gram of feces [16].

Oocysts are resistant to environmental conditions and survive for a months in environments and animal manures under cool and wet conditions. Infected animal manure also serves as a significant reservoir for Cryptosporidium infection [17]. Other studies indicated that contaminated manures from dairy or beef operations are substantial sources of Cryptosporidium oocysts for humans and animals, unless manure management or treatment measures are implemented to decrease oocyst viability or transmission to water [18]. Surface transfer from land-applied manures or leaching through the soil to groundwater are two additional mechanisms of transfer of the pathogen to drinking or recreational water, in addition to direct fecal deposition. Runoff from polluted field might act as a vehicle for Cryptosporidium oocysts to enter water sources. As a result, cattle farms might be a major source of Cryptosporidium infection for humans and other animals [19].

Investigation of Cryptosporidium infection in apparently healthy adult ruminants is vitally important as they act as reservoirs and become sources of infection for young animals [20]. In addition, infected animal manure serves as a reservoir and favourable for a long period survival of Cryptosporidium oocyst in the environment. When pathogen-laden manure is sprayed as fertilizer on grazing fields, there is a risk of environmental contamination and increase animal exposure. Untreated manure use as fertilizr for vegetable cultivation also poses a public health threat. Additionally, Intense rainfall results in surface water runoff, which can transport oocysts from farms into surrounding watersheds (water sources), resulting in high pathogen loads and more potential for human infection [21].

The prevalence of Cryptosporidium infection ranges from 10.8 to 27.8% [22], [23] and 2.1 to 22.2%[22], [24] in calves and lambs, respectively. On the other hand, Hailu et al. [25] reported the highest prevalence (46%) of Cryptosporidium infection in humans having contact with animals. The majority of the reports in Ethiopia were from young calves, lambs, and HIV positive patients, and with limited information for adult animals [23, 26, 27]. Previous studies have mostly focused on young animals and humans in central parts of Ethiopia, whereas its infection in adult cattle and sheep has not been comprehensively investigated. In addition, the occurrence of infection in animal manure has not yet been documented in study areas. Therefore, this study was to examine the occurence of Cryptosporidium infection in all ages of cattle, sheep, and humans as well as the presence of oocysts in animal manures. Additionally, the potential risk factors and the intensity of Cryptosporidium oocysts were also determined.

Materials and methods

Study areas

The study was conducted in two agro ecologies: Adama representing midland and Asella (highland) areas of Oromia Regional State (Fig. 1). Adama Town located 99 km south-east of Addis Ababa, in the rift valley, found between 8° 33' and 8° 36'N latitude and 39° 11′ 57" to 39° 21′ 15"E longitude. The town has an average altitude of 1712 m above sea level, and receives an annual range of rainfall ranging 600 to 1150 mm, and temperature range between 12 and 33 °C. The livestock populations of the town and suburb area are estimated to be 103,440 cattle, 45,554 sheep, 54,112 goats, and 87,341 poultry [28].

Fig. 1
figure 1

Map of Ethiopia showing the location of study areas of Adama and asella Towns. The green and orange colors indicates Adama and Asella towns respectively

Asella town located 175 km to the south-east of Addis Ababa in Arsi zone. The town has altitude range of 1780 and 3100 m above sea level, lies between longitude and latitude of 6° 59 to 8° 49 N and 38° 41 to 40° 44 E, respectively. The average annual rainfall in the area is 1200 mm, with minimum and maximum temperature of 5 °C and 28 °C, respectively. The population of livestock Asella and its surrounding area was estimated at 82,190 cattle, 52,292 sheep, 11,479 goats, and 162,015 poultry [29]. Even though the study areas are known for their livestock population and products (milk, meat, skins, and hides), the occurrence of cryptosporidiosis in animals, humans, and the environment has not been fully investigated.

Study population

The study population comprises cattle and sheep selected from dairy farms and smallholder farmers. Animals from all age groups and sexes were chosen for sampling. The dairy cattle on the selected farm are managed under intensive to semi-intensive production systems. The Holstein breed is the most common among farmers, followed by crosses and the Borana cattle. Local sheep breeds reared under an extensive production system were also included for sampling. Furthermore, people working on dairy farms and household members of smallholder farmers having close contact with animals were targeted to examine the presence of Cryptosporidium infection in humans.

The body condition of dairy cattle and sheep were categorized according to Kilopic et al. [30] and Thomson and Mayer [31], respectively. The age of dairy cattle was estimated by looking at their ear tags; while that of sheep was conventionally recorded by asking their owners. Criteria were developed to evaluate and categorize the hygiene of dairy farms as good (separate calf pens, dry, spacious, no feces, cleaned daily, calves clean, clean floor) and poor (separate calf pens, but wet, washed occasionally, feces present on the floor and on calves).

Study design and sample size

A cross-sectional study design was conducted from October 2021 to April 2022 to investigate the occurrence of Cryptosporidium infection and associated risk factors in dairy cattle, sheep, humans, and manure in the study area. The required sample size for the study was determined using the formula given by Thrusfield [32]. From previous data, the prevalence of Cryptosporidium infection in dairy calves and lambs was 18.6% [33] and 15.4% [34], respectively. Using the previous reports as an expected prevalence, 95% confidence interval, and 5% absolute precision, 234 dairy cattle and 200 sheep were recruited for this study. Additionally human stool from voluntary individuals and manure samples (from environment) were sampled from the dairy farms and smallholder households. Hence, pooled manure samples (n = 68) were sampled from half of the selected dairy farms and smallholder households who have piled manure in their compounds.

Sampling method

Convenience sampling methods were employed to select kebeles and dairy farms in collaboration with Adama and Asella Town agricultural bureaus and farm owners. Location of study farm and the total number of animals found per farms farms were obtained from the town agricultural bureau. Accordingly, a total of six kebeles namely Burqa Cilalo, Ankaka Qonnicha and Gonde from Asella, Soolee, Dhawata, and Wonji from Adama were selected, representing a total of 22 kebeles found in both study areas. After the selection of Kebeles and dairy farms, animals were randomly picked from selected farms considering each age group in the sampling. An attempt was made to proportionally sample the animals from the dairy farms depending on herd size. Age of animals was categorized into three groups: 1–12 months, 13–36 months, and above 36 months from which Comparable number of animals were sampled from each of the age category. On average, 40 animals per farm and 13 animals per age group were sampled to meet the required sample size. Similar sampling method (convenience) was also applied for sheep sampling in addition to using participatory approach for the selection of household owned sheep. A total of six kebeles were selected from which 100 smallholder farmers were sampled by considering their sheep ownership and willingness to participate in the study. We applied a stratified sampling to select animals from the two age groups: 1–6 months, and above 6 months. Then, two sheep per household, and one animal from each age group were randomly sampled.

A purposive sampling method was applied for sampling peoples working in dairy farms and suburb small holder farming household members for stool sampling. Before sampling, the people were informed about the objective of the study and asked for their consent. Though an attempt was made to collect stool at least from one individual per dairy farm and from 100 smallholder farmers, about 56 stool samples were actually collected from consented people who were willing to cooperate to give stool samples.

During sampling, important information about the age of animals, body condition, sex, species, breed, agroecology, fecal consistency, and their management systems were recorded from face-to-face interviews with farm owners and animal attendants. In addition, history of contact with animal feces and manure, place of manure disposal, use of manure, frequency of manure disposal, and age of people participating in the study were also recorded on data collection sheet.

Sample collection

About 10 g of fresh fecal samples were collected from the rectum of dairy cattle and sheep using disposable gloves. Similarly, 10 g of fresh stool samples were taken from voluntary people by human health laboratory technicians working in the area. In addition, 20 g samples of manure were collected from thoroughly mixed manure storages. The fecal, stool and manure samples were placed in a sterile, airtight plastic bottle. After labelling, the samples were transported in an ice box to the parasitology laboratory of Addis Ababa University, college of veterinary medicine and agriculture. The samples that were not examined on the same day were stored in the refrigerator at + 4 0C.

Laboratory examination

The samples were processed using Sheather sugar solution and modified Ziehl–Neelsen staining methods following the laboratory safety rules to minimize the risk to infection (viable oocyst). Briefly, samples were examined by Sheather’s sugar solution of 1.27 specific gravity to detect Cryptosporidium oocyst microscopically as described by Trotz-Williams et al. [35]. About 3 g of feces were diluted in 42 ml of sugar solution and passed through sieve gauze to remove the solid particles. The concentrated solution was poured into a 15 ml test tube, covered with a cover slip on the tube, and kept standing for 20 min. Then, the cover slip was lifted carefully and placed on the microscope slide for oocyst observation under 40 × and 100 × magnification. A similar method was used for stool and manure samples. Microscopically, Cryptosporidium oocysts are spherical or slightly oval in shape, colorless, thick-shelled, and have four elongated sporozoites.

Additionally, thin smear was prepared from fecal, stool, and manure samples following the procedure described by Casemore [36]. For manure smear preparation, the dry sample (manure) were mixed well using a drop of water to create a uniform suspension. Once the sample was well mixed, it was distributed on a microscope slide using plastic stick. Two thin smears were prepared for each of manure samples to increase the detection of Cryptosporidium oocysts. The prepared smear was air dried and fixed with concentrated methanol for three minutes. After staining by carbolfuschin for twenty minutes, the smears were washed in running water for 1–2 min. It was then decolorized for 30 s in 1% hydrsochloric acid in ethanol and counterstained for one minute in 3% methylene blue. Finally, the slides were examined under a microscope at 100 × objective lenses. The oocysts were identified according to standard methods, which appear as pink-stained, round to oval structures of about 3 to 6 µm in diameter, containing distinct internal structures (Fig. 2). The intensity of Cryptosporidium oocysts was determined semi-quantitatively in modified Ziehl–Neelsen stained smear by counting the average number of oocysts in 10 randomly selected fields (oocysts per field) at 100 × magnification. The intensity of oocyst was graded as low (1–5 oocyst), medium (6–10 oocyst), and high (above 10 oocysts) [37].

Fig. 2
figure 2

Images of oocysts of Cryptosporidium. a. Cryptosporidium oocyst (oval, red) from cattle feces in modified Ziehl–Neelsen staining method (100X): b.Cryptosporidium oocysts (round, pinkish) from sheep feces in Modified Ziehl–Neelsen staining method (100x)

Data management and analysis

All data collected from study sites and laboratory results were entered and stored in a Microsoft Excel spreadsheet program. R statistical software (Version 4.2.0) was used to analyze data of dairy cattle, sheep, manure, and humans separately. For all study subjects, the associations of explanatory variables with the likelihood of Cryptosporidium infection were determined first by univariable logistic regression. For cattle data, variables having p ≤ 0.25 were selected for further multivariable logistic regression to identify the potential risk factors using a stepwise selection procedure [38]. A variance inflation factor was calculated for each independent variable of study subjects, and values less than 10 were chosen for model construction in multivariable logistic regression. Data analysis for sheep, human and manure was based univariable logistic analysis as only one variable for each was found significant results were considered statistically significant when the p ≤ 0.05 at a 95% confidence interval.


Prevalence of Cryptosporidium infection

All collected samples were examined microscopically. The prevalence of Cryptosporidium in dairy cattle, sheep, humans, and manure was 20.5% (95% CI: 15.5, 26.3), 14% (95% CI: 9.5, 19.6), 16% (95% CI: 7.6, 28.3), and 13.2% (95% CI: 6.2, 23.6), respectively (Table 1).

Table 1 Overall prevalence of Cryptosporidium infection

Risk factors for the occurrence of Cryptosporidium infection

Eight independent variables were used to determine the association with the occurrence of Cryptosporidium infection in dairy cattle (Table 2). Of these, age, body condition score of animals and farm hygienic conditions showed significant association with Cryptosporidium infections in dairy cattle. The occurrence of infection was 3.48 times higher in calves aged 1–12 months (OR = 3.48, 95%CI = 1.61–8.05) than in those aged above 36 months. Infection was 3.07 times higher in the age group of 13–36 months (OR = 3.07, 95%CI = 1.22–7.93) than those above 36 months. Similarly, the occurrence of Cryptosporidium infection in cattle with poor body condition was 4.51 times higher than animals with a good body condition score. Furthermore, cattle from farms having poor hygienic conditions were 3.67 times more likely to be infected than cattle in good hygienic conditions. Other factors (sex, breed, management system, agro-ecology, and fecal consistency) did not show siginificat association with occurrence of Cryptosporidium infection.

Table 2 Univariate logistic regression of host and management related risk factors for prevalence of Cryptosporidium infections in dairy cattle

Table 3 shows factors associated with Cryptosporidium infection in sheep. From five independent variables/predictors included in univariate logistic regression, age has been significantly associated with the likelihood of Cryptosporidium infection. Accordingly, sheep aged 1–6 months (OR = 2.69, 95%CI = 1.19–6.38, p = 0.020) were 2.69 times more likely to be exposed to Cryptosporidium infection than those aged above 6 months. In this study, other variables such as sex, body condition, agro-ecology, and fecal consistency were not significantly associated with the occurrence of infection.

Table 3 Univariate logistic regression of host and environment related risk factors for prevalence of Cryptosporidium infections in sheep

In univariable logistic regression, manure type was significantly associated with the occurrence of Cryptosporidium oocyst (Table 4). The occurrence of Cryptosporidium oocyst was 22.80 times higher in cattle manure (OR = 22.80, 95%CI = 3.60–198.92, p = 0.001) than manure of sheep.

Table 4 Univariate logistic regression for occurrence of Cryptosporidium oocysts in manure

Only one variable, occupation (p = 0.046) was significantly associated with the occurrence of Cryptosporidium infection in human (Table 5). The likelihood of Cryptosporidium infection in individuals working on dairy farms (OR = 13.14, 95%CI = 1.12–306.22, p = 0.046) was 13.14 times higher when compared to smallholder farmers.

Table 5 Univariate logistic regression of human-related risk factors for prevalence of Cryptosporidium infections

Multivariable logistic regression analysis was used to identify the potential risk factors for the occurrence of Cryptosporidium infection in dairy cattle, sheep, humans, and manure samples (Table 6). For dairy cattle, age, farm hygiene, and body condition of animals were entered into multivariate regression. In sheep, only the age of the animal was indicated as a potential risk factor for Cryptosporidium infection in multivariate regression. Occupation and manure types were significantly associated with the occurrence of Cryptosporidium infection in humans and manure samples, respectively.

Table 6 Multivariable logistic regression model of potential risk factors for the occurrence of Cryptosporidium in dairy cattle

Intensity of Cryptosporidium oocyst

For all positive results, the average oocyst count per field was determined by selecting 10 fields of 100 × magnification randomly (Fig. 3). In the dairy cattle sample, 32 showed an average of 1–5 oocysts, 13 showed an average of [6,7,8,9,10] oocysts, and 3 showed an average of > 10 oocysts) from 48 positive results. Similarly, 28 positive samples were examined for intensity in sheep, showing an average of (1–5 oocysts) in 18 samples, 9 (6–10 oocysts), and 1 (> 10 oocysts) per field. Furthermore, nine positive samples were examined for intensity in human samples and the average of an oocyst recorded was eight (1–5 oocysts), and one (6–10 oocysts). All of the nine manure samples showed an average of 1–5 oocysts. The highest average oocyst count was recorded in samples from dairy cattle.

Fig. 3
figure 3

Pie charts shows the intensity of Cryptosporidium oocysts. The highest intensity of Cryptosporidium oocysts (> 10 oocysts) per field were recorded in dairy cattle (3/48) and sheep (1/32). The low intensity level were recorded in human samples (8/9)

Age related intensity of Cryptosporidium oocyst in dairy cattle and sheep

A higher average level of oocyst intensity (> 10 oocysts) per field was examined in dairy cattle aged 1–12 months (Fig. 4). The moderate (6–10 oocysts) and lower average of oocyst counts (1–5 oocysts) per field were examined at ages of 12–36 months and above 36 months, respectively. Similarly, higher average oocyst counts (> 10 oocysts) per field were examined in sheep at an age of 1–6 months, followed by moderate intensity (6–10 oocysts) at an age of over six months.

Fig. 4
figure 4

Bar graph shows an age related intensity of Cryptosporidium oocyst in dairy cattle and sheep. Intensity: 1 = (1–5 oocysts), 2 = (5–10 oocysts), 3 = (> 10 oocysts). a. A higher average level of oocyst intensity (> 10 oocysts) per-fields showed in dairy calves age of 1–12 months. b. similarly, the highest oocyst intensity recorded in sheep lambs (1–6 months)

Manure handling practices in dairy farm owners' and farmer's households

In manure handling practice, frequency of removal, place of manure removal, and uses of manure were assessed during sample collection from dairy farms and small holder farmers (Table 7). Only 16.1% of respondents dispose the manure daily from their animal houses. 5% of them had storage holes, and 8.8% dispose the manure on grazing land. Nearly all of them (98.5%) used manure for crop production, and all of them did not apply any manure treatment.

Table 7 Manure handling practices in dairy farm owners' and farmer's households


The overall prevalence of Cryptosporidium infection in dairy cattle was 20.5%, which is comparable to other studies from Ghana [39], Nigeria [40], and Iraq [41]. However, the current result is higher than the report of Wegayehu et al. [27], who reported from cattle reared under an extensive management system. Geurden et al.[42], also reported a higher prevalence in intensive-managed cattle than in extensively managed cattle. This suggests that cryptosporidiosis is more prevalent in dairy farms under intensive management systems compared to the extensively reared cattle. Low prevalence in cattle under extensive management systems can be due to their lower exposure to infection where oocysts are dispersed on a large surface and are exposed to direct sunlight, which reduces the oocysts' viability, resulting in a reduced infection pressure [43].

Observed higher prevalence of infection in young (1–12 months) age group is in line with the report from Haramaya [22] and Southeastern Ethiopia [44], Nigeria [45], and Brazil [46]. However, lower seroprevalence figures have been also reported from different parts of Ethiopia: Tigrai, Bishoftu and West Showa [23, 47, 48]. The prevalence in the (13–36 months) age groups is comparable with the findings from Ghana [39] and Iraq [41]. Association of age with diseases occurrence have been also reported by Ayana et al.[23]; Ebiyo and Haile [49]; Venu et al. [50]; and Santín et al. [51], which stated the importance of age in the occurrence of Cryptosporidium infection. This is explained by the underdeveloped immune system of calves that decrease their resistant to infection by Cryptosporidium infection [20]. The current study also confirms that adult dairy cattle (above 36 months) shed Cryptosporidium oocyst indicating their role in environmental contamination. Similarly, Díaz et al. [20] explain that adult cattle have a role in the outbreak of cryptosporidiosis in calves and humans, even though healthy calves under one month are the main carriers of Cryptosporidium species. Other authors also found that the level of oocyst shedding peaks during parturition as a result of immune depression and increases the risk of infection for their new born [52], highlighting the importance of adult cattle as reservoir and their contribution to the transmission and environmental contamination[10]. Farm hygiene is another risk factor that showed an association with the occurrence of Cryptosporidium infection in dairy cattle. Locally, Ayele et al. [53], Abebe et al. [54], and Adinew and Geremew [49] reported similar findings from different parts of the country. Similarly, Castro-hermida et al. [55] indicated that the risk of exposure to Cryptosporidium infection decreases with cleaning frequency of their house. Poor hygienic conditions create a dirty and muddy environment, which is favorable for the survival of oocysts and environmental contamination with subsequent exposure of susceptible animals.

On the other hand, the prevalence of Cryptosporidium infection in sheep was comparable with the reports from Iran [56] and Poland [57] and Italy [37]. Higher prevalence figures have been also reported from Mexico [58], Brazil [59] and Iraq [60]. These discrepancies in prevalence might be attributed to the management system in which the present study collected the sample from extensively reared sheep. The sampling animals (sheep) in this study are kept out of doors and are less exposed to Cryptosporidium oocyst than intensively managed sheep, whose crowding and confinement to small areas favor environmental contamination with oocyst and exposure to infection [59]. Furthermore, in an extensive management system, the oocyst spreads over a large surface area, resulting in low density and infection pressure [42].

The occurrence of infection is more likely high in sheep under 6 months than above 6 months similar to findings from other countries, including Spain [61], Nigeria [62], and England [63]. The current finding is comparable with the findings of Regassa et al.[22] and Dinka and Berhanu [47] from Ethiopia. It is also found to be higher than the reports by Wegayehu et al. [24].The variation might be due to the difference in methodological method; the present study used microscopical examination versus the highly sensitive molecular method used by the former authors. The prevalence of infection in sheep of age above 6 months was in line with Venu et al. [48], from sheep lambs. However, it is lower than the findings of Castro-Hermida et al. [61] and Abare et al.[62]. This finding indicates that adult sheep may serve as a reservoir for Cryptosporidium infection and increase the risk of infection for their lambs. Similarly, Firoozi et al. [64] and Dessì et al. [37] support the finding that there is a high risk of maternal transmission in lambs that live with their dams. Furthermore, Chikweto et al. [65] explained the role of adult sheep as a source of environmental contamination by producing a large volume of feces.

In humans, Cryptosporidium oocyst was detected in nine of them which is comparable with the reports of Tekle.Y [66]. A higher prevalence was reported from individual contact with animals in Ethiopia [25]. Similarly, in this study the occurrence of Cryptosporidium infection was greater in dairy farm workers than in smallholder farmers rearing sheep in their houses. Siwila et al. [67] also agree with the current findings; dairy farm workers were more likely to be infected with Cryptosporidium than their household members not working on the farm. This is due to the fact that dairy farm workers have frequent contact with their animals, and mostly involved in manure removal or contact which increases the risk of infection from zoonotic Cryptosporidium species. Even if the current study has not been done on species identification in both humans and animals, different studies using molecular methods have found a greater prevalence of Cryptosporidium infection in people who have had contact with animals [68].

Furthermore, the prevalence of Cryptosporidium oocysts in manure in the present study suggests its significance in further environmental contamination and being role as source of infections for animals and humans. Relatively higher prevalence figures have been reported by Lasprilla-Mantilla et al. [17]. Parasite in manure prevalence and oocyst load might vary depending on handling practices, exposure to sun light and moisture content, animal species. A significant association of manure of animal species with the occurrence of Cryptosporidium in cattle manure than that of sheep. Pam et al. [13] also reported higher percentage of Cryptosporidium oocyst in cattle manure than in sheep manure. Similarly, Fleming et al. [69] found that manure from dairy farms had a higher prevalence of Cryptosporidium oocyst than from swine farms. The global Cryptosporidium oocyst load indicates that cattle are the most abundant source of oocyst for the environmental contamination, followed by sheep, goats, swine, and other domestic animals [70].

Assessment of manure handling practices among dairy farmers and smallholders showed improper dispose and use animal manures, which leads to environmental contamination. Even though the role of livestock manure as a source of environmental contamination was not investigated in Ethiopia, it is the main problem in North America and Europe. The spread of manure on grazing, and cropland promotes the propagation of infection to large areas and drinking water [16]. In addition, the use of untreated animal manure for horticulture or vegetable cultivation increases the risk of contamination by Cryptosporidium oocyst and human exposure [71]. This results in indirect transmission of Cryptosporidium infection in humans from contaminated feed and water [6]. Cryptosporidium oocysts are resistant to environmental conditions (e.g. light temperature and survive for a months in environments and in animal manures under cool and wet conditions. A study illustrated that contaminated manures from dairy or beef operations were among the major sources of Cryptosporidium oocysts for humans and animals, and a major contaminants of crop fields and drinking water sources [18]. Surface transfer from land-applied manures or leaching through the soil to groundwater are two the mechanisms of transfer of the pathogen to drinking or recreational water, in addition to direct fecal deposition. Runoff from polluted field might act as a vehicle for Cryptosporidium oocysts to enter water sources. As a result, cattle farms might be a major source of Cryptosporidium infection for humans and other animals and require due attention [19].

The highest intensity of oocyst count (above 10 oocysts) was recorded in a fecal sample collected from dairy cattle (6%), followed by a fecal sample from sheep similar to the findings of Vermeulen et al. [70] reported cattle manure to be the most abundant source of oocysts. Age level intensity indicates that young calves (1–12 months) and lambs (1–6 months) showed a higher load of oocyst (above 10) count per field than adult animals. The finding was supported by Brook et al. [72] who found moderate to intense oocyst shedding in dairy calves. Findings from naturally infected calves also indicate the number of oocysts shed decreases as the age of the calf [73], suggesting susceptibility to infection and oocyst shedding decreases with the age of the animals. A moderate oocyst count (2–6 oocysts) was also recorded in fecal samples from adult cattle and sheep. According to Scott et al. [14] and Pam et al. [13] asymptomatic weaned and adult cattle shed millions of oocysts into the environment. Report from another study also showed that adult ewes shed about 1 × 106 Cryptosporidium oocysts into the environment, which peaks during the lambing season [74]. The large volume and fibrinous nature of adult feces, however, reduce the concentration of oocyst and limit the threshold level examined under the microscope [10]. This underestimates the prevalence and oocyst load of Cryptosporidium in adult animals and their contribution to the transmission of infection to young animals. Thus, it is important to emphases the role of adult animals in environmental contamination and subsequent transmission of infection, and this point to the need to improve diagnostic techniques used to detect the minimum level of oocyst concentration [75].


In conclusion, the current study revealed the occurrence of Cryptosporidium among in animal-humans-environment interface. The infection was higher in young animals (calves and lambs) compared to adults. Adult animals had also considerable percentage of Cryptosporidium infection, which implies their roles in shedding oocysts into the environment and act as a source of infection for their young’s as well as human beings. Age of animals and farm hygiene were identified as major risk factors for the occurrence of Cryptosporidium in animals. Young calves and lambs had a high risk of infection due to poorly developed immunity systems and thus required more attention from dairy farmers and sheep owners to prevent mortality and low growth rate. The study also revealed a higher prevalence of Cryptosporidium infection in human subjects who have frequent contact with animals and their feces. More importantly, detection of Cryptosporidium oocyst in manure samples, indicates the importance of Cryptosporidium in environmental contamination and subsequent public health risks. Furthermore, dairy farmers and smallholder farmers dispose of animal manure on agricultural and grazing lands without any treatment, which contaminate water sources. Additionally direct application of untreated manure to agricultural lands and vegetable plots is also a common practices in the area, and certainly contaminate agricultural produce such as vegetables which are often consumed raw or undercooked. Thus, Cryptosporidium infection is being regarded as emerging zoonotic and foodborne diseases and adopting one-health approach for its control and prevention is vitally important. Increasing awareness on manure management and proper handling among dairy farms and smallholder farmers are vitally important in minimizing the disease risk.

Limitation of the study

The study attempted to show the occurrence of Cryptosporidium in animal-humans-environment interface. However, it was based on limited number of human subjects and manure samples in addition to use of purposive sampling for various study units. For future studies, molecular characterization and Cryptosporidium species identification helps to determine the major species of animal and human health importance in the area.

Availability of data and materials

The datasets generated and analyzed during the current study are not publicly available due confidentiality of study subjects but are available from the corresponding author on reasonable request.


  1. Tyzzer EE. An extracellular Coccidium, Cryptosporidium Muris (Gen Et Sp Nov.) of the gastric glands of the common mouse. J Med Res. 1910;23:487-510.3.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Panciera RJ, Thomassen RW, Garner FM. Cryptosporidial infection in a calf. Vet Pathol. 1971;8(5–6):479–84.

    Article  Google Scholar 

  3. Barker IK, Carbonell PL. Cryptosporidium agni sp. n. from lambs and Cryptosporidium bovis sp. n. from a calf, with observations on the oocyst. Zeitschrift für Parasitenkd. 1974;44(4):289–98.

    Article  CAS  Google Scholar 

  4. Tzipori SIDD, Campbell I, Sherwood D, Snodgrass DR, Whitelaw A. An outbreak of calf diarrhoea attributed to cryptosporidial infection. Vet Rec. 1980;107(25–26):579–80.

    CAS  PubMed  Google Scholar 

  5. Ryan UM, Feng Y, Fayer R, Xiao L. Taxonomy and molecular epidemiology of Cryptosporidium and Giardia – a 50 year perspective (1971–2021). Int J Parasitol. 2021;51(13–14):1099–119.

    Article  CAS  PubMed  Google Scholar 

  6. Ryan UNA, Fayer R, Xiao L. Cryptosporidium species in humans and animals: current understanding and research needs. Parasitol. 2014;141:1667–85.

    Article  Google Scholar 

  7. Baroudi D, Hakem A, Adamu H, Amer S, Khelef D, Adjou K, et al. Zoonotic Cryptosporidium species and subtypes in lambs and goat kids in Algeria. Parasites Vectors. 2018;11:1–8.

    Article  Google Scholar 

  8. Goebel E. Ultrastructure of Microgametogenesis, Microgametes and Gametogamy of Cryptosporidium Sp. in the Small Intestine of Mice. Protistologica. 1982;18(3):331–44.

  9. Tzipori S, Ward H. Cryptosporidiosis: biology, pathogenesis and disease. Microbes Infect. 2002;4(10):1047–58.

    Article  PubMed  Google Scholar 

  10. Jade H, Armstrong C, Uttley K, Morrison LJ, Innes EA, Katzer F. Genetic diversity and shedding profiles for Cryptosporidium parvum in adult cattle and their calves. Curr Res Parasitol Vector-Borne Dis. 2021;1:100027.

    Article  Google Scholar 

  11. De GDC, Vanopdenbosch E, Ortega-mora LM, Paraud C, Chartier C. A review of the importance of cryptosporidiosis in farm animals. Int J Parasitol. 1999;29:1269–87.

    Article  Google Scholar 

  12. Kerie Y. Cryptosporidiosis: its importance and diagnostic techniques in farm animals. Int J Vet Heal Sci Res. 2019;7(2):236–41.

    Google Scholar 

  13. Pam VA, Ogbu DADKI, Bata IEESI. The Occurrence of Cryptosporidium Species in Soil and Manure in Jos and Environs, Plateau State, Nigeria. Greener J Biol Sci. 2013;3(9):330–5.

  14. Scott CA, Smith HV, Gibbs HA. Excretion of Cryptosporidium parvum oocysts by a herd of beef suckler cows. Vet Rec. 1994;134(7):172.

    Article  CAS  PubMed  Google Scholar 

  15. Ye J, Xiao L, Wang Y, Wang L, Amer S, Roellig DM, et al. Periparturient transmission of Cryptosporidium xiaoi from ewes to lambs. Vet Parasitol. 2013;197(3–4):627–33.

    Article  PubMed  Google Scholar 

  16. Bordes L, Houert P, Costa D, Favennec L, Vial-novella C, Fidelle F, et al. Asymptomatic Cryptosporidium infections in ewes and lambs are a source of environmental contamination with zoonotic genotypes of Cryptosporidium parvum. Parasite. 2020;27:57.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Lasprilla-Mantilla MI, Wagner V, Pena J, Frechette A, Thivierge K, Dufour S, et al. Effects of recycled manure solids bedding on the spread of gastrointestinal parasites in the environment of dairies and milk. J Dairy Sci. 2019;102(12):11308–16.

    Article  CAS  PubMed  Google Scholar 

  18. Kuczynska E, Shelton DR. Method for detection and enumeration of Cryptosporidium parvum oocysts in feces, manures, and soils. Appl Environ Microbiol. 1999;65(7):2820–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Ogendo A, Obonyo M, Wasswa P, Bitek A, Mbugua A, Thumbi SM. Cryptosporidium infection in calves and the environment in Asembo, Western Kenya : 2015. Pan Afr Med J. 2017;28(Supp 1):1–5.

    Google Scholar 

  20. Díaz P, Navarro E, Remesar S, García-Dios D, Martínez-Calabuig N, Prieto A, et al. The age-related cryptosporidium species distribution in asymptomatic cattle from north-western spain. Animals. 2021;11(2):1–12.

    Article  Google Scholar 

  21. Brankston G, Boughen C, Ng V, Fisman DN, Sargeant JM, Greer AL. Assessing the impact of environmental exposures and Cryptosporidium infection in cattle on human incidence of cryptosporidiosis in Southwestern Ontario Canada. PLoS One. 2018;13(4):1–12.

    Article  Google Scholar 

  22. Regassa A, Gizaw O, Abunna F, Abebe R, Beyene D, Debela E, et al. Cryptosporidium in Calves, Lambs and Kids at Haramaya, eastern Ethiopia. Ethiop Vet J. 2013;17(1):81–94.

    Article  Google Scholar 

  23. Gashaw Mullusew, NegesseWelde DA, Waktole H. Study on Eimeria and Cryptosporidium infection in dairy cattle farms of Holeta, West Shoa Zone, Oromia, Ethiopia. J Am Sci. 2020;16(22):119–28.

    Google Scholar 

  24. Wegayehu T, Karim R, Li J, Adamu H, Erko B, Zhang L. Prevalence and genetic characterization of Cryptosporidium species and Giardia duodenalis in lambs in Oromia Special Zone , Central Ethiopia. BMC Vet Res. 2017;13:1–7.

    Google Scholar 

  25. Hailu AW, Degarege A, Adamu H, Costa D, VenceslasVillier AM, Favennec L. Molecular characterization of Cryptosporidium spp. from humans in Ethiopia. PLoS One. 2021;16(5):1–12.

  26. Ayana D, Tilahun G, Wossene A. Study on eimeria and cryptosporidium infections in sheep and goats at ELFORA export abattoir, Debre-zeit Ethiopia. Turkish J Vet Anim Sci. 2009;33(5):367–71.

    Google Scholar 

  27. Wegayehu Teklu, Adamu H, Petros B. Prevalence of Giardia duodenalis and Cryptosporidium species infections among children and cattle in North Shewa Zone, Ethiopia. BMC Infect Dis. 2013;13(1):419.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Gebregziabhear E. Analysis of sheep value chain: the case of Adama District, East Shoa Zone of Oromia Regional State Ethiopia. CoreAcUk. 2018;8(3):148–62.

    Google Scholar 

  29. Alemu B. Reproductive disorders in dairy cattle; retrospective study in Asella Town Central Ethiopia. J Dairy Vet Sci. 2019;9(4):5–10.

    Google Scholar 

  30. Klopčič M, Hamoen A, Bewley J. Body condition scoring of dairy cows. Ljubljana, Slovenia: Biotechnical Faculty, Department of Animal Science; 2011.

  31. Thomson J, Mayer H. Body condition scoring of sheep. In Pract. 1994;6(3):91–3.

    Google Scholar 

  32. Thrusfield M. Veterinary epidemiology: 2nd Ed. Blackwell Science ltd; 1996.

  33. Manyazewal A, Francesca S, Pal M, Gezahegn M, Tesfaye M, Lucy M, et al. Prevalence, risk factors and molecular characterization of Cryptosporidium infection in cattle in Addis Ababa and its environs Ethiopia. Vet Parasitol Reg Stud Reports. 2018;13:79–84.

    PubMed  PubMed Central  Google Scholar 

  34. Ali M, Asefa T, Yimer A. Epidemiological study of small ruminant Cryptosporidium Infection in Ziway Dugda District of East Arsi Zone Ethiopia. J Vet Sci Technol. 2019;10(6):6–10.

    CAS  Google Scholar 

  35. Trotz-Williams LA, Martin SW, Martin D, Duffield T, Leslie KE, Nydam DV, et al. Multiattribute evaluation of two simple tests for the detection of Cryptosporidium parvum in calf faeces. Vet Parasitol. 2005;134(1–2):15–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Casemore DP. Laboratory methods for diagnosing cryptosporidiosis. J Clin Pathol. 1991;44(6):445–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Dessì G, Scala A, Tamponi C, Varcasia A, Sanna G, Pipia AP, Carta S, Salis F, Diaz P. Cryptosporidium infections in sheep farms from Italy. Parasitol Res. 2020;119:4211–8.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Graham Mh. Confronting multicollinearity in ecological. Ecol. 2003;84(11):2809–15.

    Article  Google Scholar 

  39. Dankwa K, Feglo PK, Nuvor SV, Aggrey-korsah M. Cryptosporidium infection and associated risk factors among cattle in the Central Region of Ghana. J Parasitol Res. 2021;2021:8.

    Article  Google Scholar 

  40. Adamu S, Adamu N, Aliyu A, Atsanda N, Mustapha F, Muhammad YG, Umaru GA. Prevalence of Cryptosporidium infection in cattle in Maiduguri North Eastern Nigeria S Bangladesh. J Vet Med. 2015;13(1):25–8.

    Google Scholar 

  41. Saeed ATMA. Abdo, Jasim M, Al-Simaani RGG. Cryptosporidiosis in Cattle and Sheep in Duhok City Kurdistan Region Iraq Kufa J Vet Med Sci. 2019;10(1):32–46.

  42. Geurden T, Goma FY, Siwila J, Phiri IGK, Mwanza AM, Gabriel S, et al. Prevalence and genotyping of Cryptosporidium in three cattle husbandry systems in Zambia. Vet Parasitol. 2006;138(3–4):217–22.

    Article  CAS  PubMed  Google Scholar 

  43. Lefay D, Naciri M, Poirier P, Chermette R. Prevalence of Cryptosporidium infection in calves in France. Vet Parasitol. 2000;89:1–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Fikre Birhanu, Diriba Lemma, Eyob Eticha, Abera B, Adem A. Prevalence and risk factors of Cryptosporidiosis in dairy Calves in Asella Town, South Eastern, Ethiopia. Acta Parasitol Glob. 2017;8(1):50–7.

    Google Scholar 

  45. Ayinmode AB, Fagbemi BO. Prevalence of Cryptosporidium infection in cattle from South Western Nigeria. Vet Arh. 2010;80(6):723–31.

    Google Scholar 

  46. Macedo LO, Alves LC, Carvalho GA. Prevalence of infection by Cryptosporidium spp in calves and associated risk factors in Northeastern Brazil. Arq Bras Med Vet Zootec. 2021;73:34–40.

    Article  Google Scholar 

  47. Ayana D, Alemu B. Cryptosporidiosis in Calves, lambs and goat kids in Bishoftu, Oromia Regional State Ethiopia. African J Basic Appl Sci. 2015;7(5):233–9.

    Google Scholar 

  48. Kifleyohannes T, Nødtvedt A, Debenham JJ. Cryptosporidium and Giardia in Livestock in Tigray, Northern Ethiopia and associated risk factors for infection : a cross-sectional study. Front Vet Sci. 2022;8:1–11.

    Article  Google Scholar 

  49. Ebiyo A, Haile G. Prevalence and Factors Associated with Cryptosporidium Infection in Calves in and around Nekemte Town, East Wollega Zone of Ethiopia. Vet Med Int. 2022;2022:1468242.

  50. Venu R, Latha BR, Basith SA, Sreekumar C, Raj GD, Raman M. Factors influencing on prevalence of Cryptosporidium infection in south Indian dairy calves. J Parasit Dis. 2013;37(2):168–72.

    Article  CAS  PubMed  Google Scholar 

  51. Santín M, Trout JM, Xiao L, Zhou L, Greiner E, Fayer R. Prevalence and age-related variation of Cryptosporidium species and genotypes in dairy calves. Vet Parasitol. 2004;122(2):103–17.

    Article  PubMed  Google Scholar 

  52. Faubert GM, Litvinsky Y. Natural of Cryptosporidium Parvum between dams and transmission calves on a dairy farm. J Parasitol. 2000;86(3):495–500.

    Article  CAS  PubMed  Google Scholar 

  53. Ayele A, Seyoum Z, Leta S. Cryptosporidium infection in bovine calves prevalence and potential risk factors in northwest Ethiopia. BMC Res Notes. 2018;11:1–6.

    Article  Google Scholar 

  54. Abebe R, Wossene A, Kumsa B. An epidemiological study of Cryptosporidium infection in dairy calves on selected dairy farms of central Ethiopia. J Vet Med. 2008;159(2):107–11.

    Google Scholar 

  55. Castro-hermida JA, González-losada YA, Ares-mazás E. Prevalence of and risk factors involved in the spread of neonatal bovine cryptosporidiosis in Galicia ( NW Spain ). Vet Parasitol. 2002;106:1–10.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Gharekhani J, Heidari H, Youssefi M. Prevalence of Cryptosporidium Infection in Sheep in Iran. Turkiye Parazitol Derg. 2014;38(98):22–5.

    Article  PubMed  Google Scholar 

  57. Majewska AC, Werner A, Sulima P, Luty T. Prevalence of Cryptosporidium in sheep and goats bred on five farms in west-central region of Poland. Vet Parasitol. 2000;89:269–75.

    Article  CAS  PubMed  Google Scholar 

  58. Romero-Salas D, Alvarado-Esquivel C, Cruz-Romero A, Aguilar-Domínguez M, Ibarra-Priego N, Merino-Charrez JO, Pérez de León AA, Hernández-Tinoco J. Prevalence of Cryptosporidium in small ruminants from Veracruz, Mexico. BMC veterinary research. 2016;12(1):1–6.

  59. Snak A, Smiderle FR, Luis N, Fernandes M, Lara AA, Garcia FG, et al. Occurrence and molecular characterization of Cryptosporidium sp in sheep. Semin Ciências Agrárias, Londrin. 2017;38(4):1917–24.

  60. Al-zubaidi MTS. Molecular and Microscopic Detection of Cryptosporidium Spp In Sheep In Al-Taji Area-Baghdad / Iraq. Int J Sci Nat. 2017;8(2):372–6.

    CAS  Google Scholar 

  61. Castro-Hermida JA, Almeida A, González-Warleta M, Da Costa JMCorreia, Rumbo-Lorenzo C, Mezo M. Occurrence of Cryptosporidium parvum and Giardia duodenalis in healthy adult domestic ruminants. Parasitol Res. 2007;101(5):1443–8.

    Article  PubMed  Google Scholar 

  62. Abare MS, Maikai BV, Okubanjo OO. Occurrence and factors associated with faecal shedding of Cryptosporidium oocysts in small ruminants in Potiskum local government area, Yobe State, Nigeria. Sokoto J Vet Sci. 2019;16(4):43.

    Article  Google Scholar 

  63. Smith RP, Chalmers RM, Mueller-Doblies D, Clifton-Hadley FA, Elwin K, Watkins J, et al. Investigation of farms linked to human patients with cryptosporidiosis in England and Wales. Prev Vet Med. 2010;94(1–2):9–17.

    Article  CAS  PubMed  Google Scholar 

  64. Firoozi Z, Sazmand A, Zahedi A, Astani A, Fattahi-Bafghi A, Kiani-Salmi N, et al. Prevalence and genotyping identification of Cryptosporidium in adult ruminants in central Iran. Parasit Vectors. 2019;12(1):2–7.

    Article  Google Scholar 

  65. Chikweto A, Veytsman S, Tiwari K, Cash K, Stratton G, Thomas D, et al. Prevalence of Cryptosporidium spp in asymptomatic small ruminants in Grenada, West Indies. Vet Parasitol Reg Stud Reports. 2019;15:100262.

    CAS  PubMed  Google Scholar 

  66. Tekle Y. Prevalence and Risk Factors of Cryptosporidiosis in Calves and Hospitalized Human in Libo Kemkem District, Northwestern. Ethiopia: Bahirdar University; 2021.

    Google Scholar 

  67. Siwila J, Phiri IGK, Vercruysse J, Goma F, Gabriel S, Claerebout E, et al. Asymptomatic cryptosporidiosis in Zambian dairy farm workers and their household members. Trans R Soc Trop Med Hyg. 2007;101(7):733–4.

    Article  PubMed  Google Scholar 

  68. Wegayehu T, Adamu H, Petros B. Prevalence of Giardia duodenalis and Cryptosporidium species infections among children and cattle in North Shewa Zone. Ethiopia BMC infectious diseases. 2013;13(1):1–7.

    Google Scholar 

  69. Fleming R, Mclellan J, Alves D, Hilborn D, Pintar K, Macalpine M. Cryptosporidium in Livestock, Manure Storages, and Surface Waters in Ontario. Toronto: Ontario; 1997.

    Google Scholar 

  70. Vermeulen LC, Benders J, Medema G, Hofstra N. Global Cryptosporidium Loads from livestock manure. Environ Sci Technol. 2017;51(15):8663–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Tram NT, Phuc PD, Phi NH, Trang LT, Nga TT, Ha HTT, et al. Cryptosporidium and giardia in biogas wastewater: management of manure livestock and hygiene aspects using influent, effluent, sewage canal samples, vegetable, and soil samples. Pathogens. 2022;11(2):174.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Brook E, Hart CA, French N, Christley R. Prevalence and risk factors for Cryptosporidium spp. infection in young calves. Vet Parasitol. 2008;152(1–2):46–52.

    Article  PubMed  Google Scholar 

  73. Nydam DV, Wade SE, Schaaf SL, Mohammed HO. Number of Cryptosporidium parvum oocysts or Giardla cysts shed by dairy calves after natural infection. Am J Vet Res. 2001;62(10):1612–5.

    Article  CAS  PubMed  Google Scholar 

  74. Li X, Vodovoz T, Xiao C, Rowe JD, Atwill ER. Intensity Characterization of Fecal Shedding of cryptosporidium and Risk Factors in Sheep Farms In california, USA. J Vet Med Res. 2018;5(3):1130.

  75. Wells B, Thomson S, Ensor H, Innes EA, Katzer F. Development of a sensitive method to extract and detect low numbers of Cryptosporidium oocysts from adult cattle faecal samples. Vet Parasitol. 2016;227(July):26–9.

    Article  CAS  PubMed  Google Scholar 

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The authors would like to acknowledge Addis Ababa University's vice president’s office for research and technology transfer for their support. We are also highly indebted to dairy farm owners and sheep owners for allowing us to use their animals and to all volunteered individuals for their kindness in participating in this study.


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The authors confirm contribution to the paper as follows: study conception and design: Dinka Ayana Bekele Megersa, Hagos Ashenafi and Hika Waktole; Data collection, analysis and interpretation, and draft manuscript preparation: Kassahun Berhanu; All authors reviewed the results and approved the final version of the manuscript.

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Correspondence to Kassahun Berhanu.

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Ethics approval and consent to participate

The study protocol for animal studies followed the guidelines of Addis Ababa University, College of Veterinary Medicine and Agriculture. The ethical clearance was reviewed and approved by the Animal Research Ethical Review Committee (Ref. No: VM/ERC/12/02/14/2022). Before fecal collection from animals, the objective and procedure of the study were explained to farm owners or farmers, and consent was obtained. Human related Ethical clearance was approved by department of research study on public health of Oromia regional Health bureau (Ref. No: BFO/HBTFH/2-/6/11093). The current study has been taken place in Oromia (the largest region from the twelve regional states found in the country).

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Berhanu, K., Ayana, D., Megersa, B. et al. Cryptosporidium in human-animal-environment interphase at Adama and Asella areas of Oromia regional state, Ethiopia. BMC Vet Res 18, 402 (2022).

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  • Dairy cattle
  • Cryptosporidium
  • Human
  • Manure
  • Occurrence
  • Sheep
  • Ethiopia