Figures
Abstract
Background
Cryptosporidium infection causes diarrhea that may lead to malnutrition, growth faltering, cognitive impairment, and mortality if left untreated. Cryptosporidiosis continues to be a significant public health issue in low-income countries, including Ethiopia. However, its epidemiology among children under five years of age remains understudied. Therefore, this study aimed to determine the prevalence and factors associated with Cryptosporidium infection among diarrheic children under five in Eastern Ethiopia. A cross-sectional study was conducted among children under five years of age attending health centers with diarrhea in Eastern Ethiopia between November 2022 and October 2023. Fecal specimens were analyzed by auramine-phenol staining using light-emitting diode fluorescence microscopy. A structured questionnaire was used to obtain information on sociodemographic and other variables potentially associated with Cryptosporidium infection. Poisson regression with a robust variance model was employed to assess factors associated with Cryptosporidium infection using the prevalence ratio with 95% confidence intervals (CI).
Results
This study included 756 diarrheic children under five years of age (mean = 20.8 months with a standard deviation of 13.4 and median of 16 months). The prevalence of Cryptosporidium infection was 15.2% (95% CI: 12.7–17.9). Wet season (adjusted prevalence ratio (APR) = 1.7, 95% CI: 1.2–2.4), having caregivers with no formal education (APR = 2.6, 95% CI: 1.1–6.3), presence of a diarrheic member in the household (APR = 1.9, 95% CI: 1.2–3.2), not being exclusively breastfed (APR = 1.6, 95% CI: 1.1–2.3), lack of handwashing practice after toileting (APR = 2.8, 95% CI: 1.7–4.5), and the use of toilet paper after defecation (APR = 1.6, 95% CI: 1.6–3.3) were factors significantly associated with increased risk of Cryptosporidium infection.
Author summary
Cryptosporidium is a significant cause of diarrheal diseases and associated malnutrition in young children in developing countries, including Ethiopia. Despite its importance as a leading cause of diarrheal illness, there is limited published data on the prevalence and factors influencing the spread of Cryptosporidium in this region, with most published studies focusing on populations living with HIV. This study aimed to contribute towards filling this gap by investigating the prevalence and factors associated with Cryptosporidium infections among diarrheic children under five years of age in Eastern Ethiopia. Among the 756 children studied, we found a 15.2% prevalence of Cryptosporidium infection, diagnosed using auramine-phenol staining and light-emitting diode fluorescence microscopy. We identified key factors associated with infection, including the wet season, lack of exclusive breastfeeding, inadequate handwashing after toileting, and the use of toilet paper following defecation. These findings underscore the need for targeted interventions that address these factors in order to reduce the burden of Cryptosporidium infections and improve child health outcomes in the region.
Citation: Abate D, Tschopp R, Seyoum B, Dessie Y, Hasen MO, Gemechu G, et al. (2025) Cryptosporidium infection and associated factors among diarrheic children under five years of age in Eastern Ethiopia. PLoS Negl Trop Dis 19(8): e0013386. https://doi.org/10.1371/journal.pntd.0013386
Editor: Wesley C. Van Voorhis, University of Washington, UNITED STATES OF AMERICA
Received: April 11, 2025; Accepted: July 22, 2025; Published: August 5, 2025
Copyright: © 2025 Abate et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Diarrhea remains a leading cause of morbidity and mortality among children under five years of age in sub-Saharan Africa, including Ethiopia [1]. Inadequate sanitation, limited access to clean water, and insufficient healthcare infrastructure contribute to the high prevalence of diarrheal diseases [2]. Diarrhea in children under five years of age can be caused by enteric viruses, bacteria, and parasites [3,4]. Among these, the intracellular protozoan parasite Cryptosporidium spp., which infects a wide range of mammalian species including humans, is a significant cause of gastroenteritis among young children [5,6]. Children living in resource-poor settings in sub-Saharan Africa and South Asia are particularly at risk of cryptosporidiosis [7].
Cryptosporidium spp. are transmitted through the fecal-oral route via the consumption of water or food contaminated with fecal matter, as well as by direct contact with infected individuals or animals [5]. It is highly infectious, and its transmission stage (the oocyst) is resistant to the disinfectants routinely used in the drinking water industry [8]. Globally, childhood cryptosporidiosis is estimated to cause approximately 44.8 million diarrheal episodes and 48,300 deaths annually, with the majority occurring in Africa [9]. Its burden is particularly high in sub-Saharan Africa, including Ethiopia, where Cryptosporidium infection is associated with prolonged diarrhea and a two- to three-fold increase in mortality among children with diarrhea [4,9].
Several factors may have a role in contributing to the high prevalence of Cryptosporidium infection, including the presence of infected individuals within households, contact with animals, open defecation practices, and inadequate breastfeeding [10,11]. However, the true magnitude of Cryptosporidium infections in low-income countries is likely underestimated due to the lack of systematic diagnostic testing for diarrheal disease etiologies and the widespread reliance on less-sensitive microscopic detection methods during routine clinical practice. Traditional diagnostic approaches, including microscopy with modified Ziehl-Neelsen staining, have limited sensitivity and require specialized expertise. Advanced techniques, like antigen-detection assays and polymerase chain reaction (PCR), offer improved sensitivity, but are not widely implemented in low-resource settings due to cost and technical constraints. This diagnostic gap contributes to an underestimation of the true prevalence and burden of Cryptosporidium infections in these regions [10,12].
Despite diarrhea being a significant health issue in Ethiopia [13,14], studies specifically focusing on Cryptosporidium infection remain limited. Existing studies on Cryptosporidium infection in Ethiopia show prevalence rates varying from 1% to 26% [15,16]. Most of this research has concentrated on individuals living with HIV, with relatively few studies involving school-aged or diarrheic children [16,17]. In addition, most of the previous studies used microscopic examination of stool smear using modified Ziehl-Neelsen staining, a method with a sensitivity of 55–75% and a specificity of 96–100% [10,18]. In contrast, stool samples stained with auramine-phenol (AP) and examined using light-emitting diode (LED) fluorescence microscopy have demonstrated superior diagnostic performance, with a sensitivity of 88% and a specificity of 99% [19]. Notably, there are no data on Cryptosporidium infection among young children in Eastern Ethiopia. Therefore, the present study aimed to assess the prevalence and factors associated with Cryptosporidium infection among children under five years of age with diarrhea in Eastern Ethiopia, using the light-emitting diode- auramine-phenol (LED-AP) method of diagnosis.
Methods
Ethics statement
The study protocol was reviewed and approved by the College of Health and Medical Sciences Institutional Health Research Ethics Review Committee (IHRERC) of Haramaya University (Ref. No.; IHRERC/100/2022), and the Armauer Hansen Research Institute (AHRI)/ All African Leprosy and Tuberculosis Rehabilitation and Training Center (ALERT) Ethics Review Committee (AAERC) (Protocol number; PO-33–22). The study participants were informed of their rights to withdraw from the study at any time. Before commencement of data collection, informed voluntary written and signed consents was obtained from each child’s parent or guardian for their own participation in the questionnaire and on behalf of their child for the provision of a stool sample. Moreover, all data collection procedures in this study followed the ethical guidelines of the Declaration of Helsinki, ensuring participant safety and integrity
Study area
The study was conducted in six health centers, one from Shinile and five from the Dire Dawa Administration (DDA) (Fig 1). The study settings have two main seasons, a wet season from April to September and a dry season from October to March. Shinile is one of the woredas (districts) in the Somali region of Ethiopia, located at 9°40′N latitude and 41°50′E longitude. Its total population in 2022 was 70,181, of which 7,271 were children under five years of age (Shinile district report, 2022). The district has three health centers, but only one was fully operational and included in this study. Dire Dawa is located at 9°36′N latitude and 41°52′E longitude, approximately 515 km East of the capital, Addis Ababa, and the total population of DDA in 2022 was projected to be 535,684. Among the population, 192,106 individuals resided in rural kebeles, and 52,974 were children under five years of age [20]. DDA has two public hospitals and 14 health centers (Dire Dawa administration Regional Health Bureau report, 2022). For this study, five health centers (Gendakore, Goro, Jelobellina, Lagahare, and Melkajebdu) were randomly selected using a lottery method.
The map was constructed in ArcGIS 10.8.2 using district boundaries, https://gadm.org/download_country.html, and health facilities collected during the study. Data available under CC_BY 4.0 (Creative Commons Attribution, https://creativecommons.org/) license.
Study design and populations
This was a cross-sectional study conducted among diarrheic children under five years of age attending the selected health centers. The study was conducted from November 2022 to October 2023, covering all months of the year to assess seasonal variations of infection. The caregivers who consented for their children’s participation and diarrheic children who could provide a stool specimen, and a completed questionnaire were eligible to enroll in the study. Children admitted as inpatients were excluded, as we were interested in factors for infection in the childrens’ home environments and wished to avoid confounding with nosocomial infectons.
Sample size determination and sampling technique
The target sample size of the study was determined using single population proportion formula n = Z2pq/d2 where n = sample size, Z = level of confidence interval (95%), p = prevalence of Cryptosporidium infection (13%) from a multi-country study in sub-Saharan Africa [21] and q = proportion of those negative for disease of interest = 1-p and d: margin of error (set at 2.5%). A 15% non-response rate was included, assuming some children might be unable or unwilling to provide stool samples. The final sample size was then proportionally allocated to the selected health centers based on patient attendance data from the previous year. A systematic random sampling technique was employed to enroll study participants during daytime hours at the respective health centers based on their diarrheic patient caseload.
Measurements
Diarrhea was defined as the passage of three or more loose or watery stools or at least one episode of dysentery within a 24-hour period [22]. Dysentery was defined as the occurrence of at least one loose stool containing visible blood within a day. A caregiver was defined as the parent or guardian who brought the child to the selected health centers. Cryptosporidium infection was defined as the detection of Cryptosporidium oocysts by LED-AP fluorescence microscopy. Socio-demographic characteristics, such as age, sex, caregiver’s education, caregiver’s occupation (the work he/she spent most of his/her time on), marital status, number of rooms for living, birth order of child, family size, presence of animals and availability of toilet, were collected from caregivers using a structured questionnaire.
Moreover, information on handwashing, history of contact with animals (defined as having close contact with a domestic animal or their excrement in their playground area), history of contact with diarrheic individuals in the household, exclusively breastfed, feed preparation, treatment of drinking water, use of toilet paper, having fever, duration of diarrhea, and previous episodes of diarrhea were collected in the same way as above. For children younger than six months, exclusive breastfeeding status was described as the child having been exclusively breastfed up to the time of data collection. Caregivers of children older than six months were asked about past breastfeeding practices to ascertain whether exclusive breastfeeding had occurred during the first six months of the child’s life.
Data and sample collection
Face-to-face interviews were conducted using an epidemiological questionnaire prepared in English, which was then translated into local languages (Afan Oromo, Somali, and Amharic) and translated back into English to ensure consistency. The questionnaire was pretested with 5% of the study participants at Addis Ketema Health Center in Dire Dawa. The feedback gathered from this pretest was used to make necessary modifications to the questionnaire. Data collectors were trained in basic interviewing techniques. The study investigator checked the data daily for completeness. Approximately 5–10 g of fresh fecal specimens was collected into clean stool containers after providing instructions to caregivers on proper collection procedures. After collection, the stool specimens were examined using LED-AP microscopy at the study sites.
Detection of Cryptosporidium by LED-AP microscopy
A thin fecal smear was prepared immediately after stool sample collection and stained using the AP staining technique [19]. Briefly, the smear was fixed and flooded with AP stain solution for 15 min, then washed with distilled water and decolorized using acid ethanol solution for 2 min. Finally, it was counterstained with potassium permanganate solution for 2 min to reduce background fluorescence. Cryptosporidium oocysts, measuring 4–6 µm in diameter, appeared as ring- or doughnut-shaped structures with a greenish-yellow fluorescence against a dark background.
Each stained slide was examined by medical laboratory technologists trained in the method using LED-AP fluorescence microscopy in each study health center. All slides were then stored in a closed slide box and transported to the microbiology laboratory at Haramaya University College of Health and Medical Sciences, where they were blindly re-examined for validation by independently trained laboratory personnel. In case of discrepant results, the study investigator re-examined the slides. The presence or absence of Cryptosporidium was determined using a 20 × objective lens with a 10 × eyepiece. Presumptive objects were further examined under 40× and 100 × objectives. Additionally, the Cryptosporidium oocyst load in each stool specimen was estimated using a semi-quantitative method. A minimum of 10 fields were examined under 200 × magnification, and the average number of oocysts per field was categorized as + (1–9 oocysts), ++ (10–50 oocysts) and +++ (> 50 oocysts) as described elsewhere [23].
Statistical analysis
Data were entered into Epidata version 3.1 and exported to Stata version 17 (StataCorp LLC, 2021) for cleaning and analysis. Descriptive and inferential statistics were used to summarize and interpret the data. Bivariate and multivariate robust Poisson regression models were employed to assess the association between Cryptosporidium infection and potential associated factors. The Hosmer-Lemeshow test was used to evaluate the goodness-of-fit of each multivariate regression model, and multicollinearity among predictor variables was also assessed using Variance inflation factor. Variables with a P-value of less than 0.25 in the bivariate analysis were included in the multivariate model. The strength of associations between Cryptosporidium infection and associated factors was estimated using prevalence ratios (PR) with 95% confidence intervals (CI). An association was considered statistically significant at p-value ≤ 0.05 in the multivariate Poisson regression model with robust variance estimation.
Results
Characteristics of study participants
A total of 756 children under five years of age, along with their caregivers, participated in this study. The male to female ratio was 1:0.8. The majority were from Lagahare and Goro health centers in Dire Dawa. A total of 548 (72.5%) and 176 (23.3%) of caregivers were the children’s mothers and fathers, respectively. Three hundred and two (40.0%) of the caregivers had no formal education. The majority (92.0%) reported having a latrine, of which 77.0% had a simple pit latrine (unimproved latrine). Around 30.0% of households owned at least one species of livestock. Among those who owned livestock, the majority (87.0%) had goats, while 51.0% had cattle. Moreover, 29.0% of households also had pet animals (dogs and cats). The majority (55.0%) of the children included were males. The children’s ages ranged from one to fifty-nine months (mean± SD = 20.8 ± 13.4; median = 16 months), and approximately 70% were under two years old (Table 1).
Prevalence of Cryptosporidium infections
Overall, 15.2% (115/756; 95% CI: 12.7–17.9) of the children enrolled in the study were positive for Cryptosporidium by LED-AP microscopy. Of the 115 Cryptosporidium-positive samples, 41 (35.6%), 46 (40%), and 28 (24.4%) had oocyst loads categorized as 1 + , 2 + , and 3 + , respectively. The proportion of Cryptosporidium-positive samples was similar in each of the study health centers, ranging from 12.1% to 18.9%; in Jelobelina health center the proportion was higher (25.0%), but this was not statistically significant (Table 1).
There was no significantly higher occurrence of Cryptosporidium in any of the four age groups being compared (Table 1). There was a significantly higher occurrence of Cryptosporidium infection among children who were not exclusively breastfed. The highest prevalence of Cryptosporidium infection was detected in June (28.5%), followed by July (26.6%) and September (24.3%) (Fig 2). Moreover, Cryptosporidium infection was detected in 24.2% of children with diarrhea lasting more than three days before seeking medical care and 18.0% of those presenting with fever.
Factors associated with Cryptosporidium infection
Results obtained in our bivariate and multivariable analyses are presented in Supporting information (S1 Table) and Table 2, respectively. The variables “age” and “season” were included in the final model regardless of the p-values obtained in the bivariate analysis, assuming them to be potential confounders for many of the factors.
In the final model, Cryptosporidium infections were nearly twice as likely to occur during the wet season than the dry season. Children whose caregivers had no formal education were 2.4 times more likely to be infected with Cryptosporidium than children whose caregivers had a diploma or higher educational status. Children living in households with a family member reporting diarrhea in the two weeks prior to sampling were two times more likely to be infected with Cryptosporidium compared to children in households without recent diarrhea cases. Similarly, children who had contact with individuals experiencing diarrhea were 1.7 times more likely to be infected with Cryptosporidium compared to their counterparts (Table 2).
Caregivers that did not wash their hands after toileting were nearly three times more likely to have children infected with Cryptosporidium than those who practiced handwashing. Similarly, Caregivers who used toilet paper were 1.6 times more likely to have children infected with Cryptosporidium than those did not use it. This means using toilet paper alone is not a hygienic intervention unless paired with proper handwashing, safe disposal, and clean sanitation practices. Children with three or more older siblings were two times more likely to be infected with Cryptosporidium compared to those with no older siblings. Children who were not exclusively breastfed were 1.8 times more likely to be infected than their exclusively breastfed counterparts (Table 2).
Discussion
This study found that the prevalence of Cryptosporidium infection among diarrheic children under five years old seeking healthcare in Eastern Ethiopia was 15.2% (95% CI: 12.7–17.9). Season, caregivers’ educational status, childbirth order, exclusive breastfeeding, household history of diarrhea, contact with diarrheic individuals, handwashing after toileting, and the use of toilet paper were factors significantly associated with an increased risk of Cryptosporidium infection.
The prevalence of Cryptosporidium infection in the current study is consistent with some of those reported in similar studies conducted among children with diarrhea attending healthcare facilities in Ethiopia and other sub-Saharan African countries (S1 Table). Cryptosporidium prevalence rates of 12.8% was documented in diarrheic pediatric population in Bahir Dar, Ethiopia [24], 12.9% in Gabon [25], 13.9% in Mozambique [26], and 15.0% and 15.6% in Tanzania [21,27]. However, the prevalence found in this study is higher than previous reports from Ethiopia such as 9.0% in Jimma [23]. It is also higher than the prevalence reported in a sub-study conducted among 58 symptomatic children under three years of age attending health facilities in Mekelle, which found a prevalence of 5.2% [28]. Similarly, the prevalence observed in this study is higher than reports from other parts of Africa which reported 11.0% in Ghana and 12.0% in Madagascar [21] 8.4% and 11.0% in Kenya [29,30], 9.1% in Malawi [31], 3.4 and 11.0% in Mozambique [32,33], 4.0% in Nigeria [34] and 6.0% in South Africa [35]. In contrast, the prevalence found in this study was lower than those reported in some other African studies (S2 Table) including rates of 30.0% in Angola [36], 20.5% in Botswana [6], 21.0% in Gabon [21], 18.4% in Guinea-Bissau [37], 23.5% and 32.0% in Kenya [17,38], 22.8% and 23.1% in Nigeria [39,40] and 27.1% in Sudan [41]. These discrepant figures may be due to differences in local environmental conditions, seasonal variations, nutritional habits, personal hygiene practices, sanitation, access to safe drinking water, sewage water management, and methodological factors such as sample size, sampling techniques and diagnostic procedures. Moreover, the higher prevalence observed in this study compared to some previous studies that used conventional microscopy examination may be attributed to the use of more sensitive and specific LED-AP fluorescence microscopy in the current study.
In this study, there was a statistically significant association between season and the prevalence of Cryptosporidium infection, which was nearly two times more likely to occur during the wet season than during the dry season, with the highest prevalence rate (28.6%) being detected in June. Similar findings have been reported in previous studies. For instance, cryptosporidiosis cases peaked during the hottest months in Pakistan [42], and during the period April-June in Kenya [30]. These findings may be due to the fact that children tend to gather and play together more frequently during this season, thereby increasing their contact with surface waters potentially contaminated with Cryptosporidium oocysts. Additionally, in the study area, there is a common practice of storing water for future use. Furthermore, the area is prone to flooding during the rainy season, which may contaminate rivers, streams, and stored water sources with fecal matter. These water sources are used for cattle feeding, irrigation, and drinking, increasing the risk of Cryptosporidium infection among residents.
Caregivers’ educational status was significantly associated with Cryptosporidium infection in children, with a higher likelihood of infection among children whose caregivers had no formal education. Similarly, previous studies conducted in Cameroon [43], Ghana [44] and Mozambique [26] have found that a lack of secondary or higher education was associated with an increased risk of Cryptosporidium infection. Another study conducted in Mozambique reported that children of illiterate caregivers were more likely to be infected with Cryptosporidium [45]. This is likely because education is associated with improved hygiene practices, sanitation conditions, feeding habits, handwashing behaviors, and breastfeeding duration. Moreover, more educated parents may have higher incomes, enabling them to afford hygiene products such as soap and bottled water for drinking and food preparation for their children.
The current study showed that children with three or more older siblings were two times more likely to be infected with Cryptosporidium compared to those with no older siblings. This finding is consistent with a study conducted in India reporting the presence of an older sibling in the household as a significant risk factor for cryptosporidiosis [46]. Additionally, an increase in the number of siblings living at home in Peru has been associated with higher odds of Cryptosporidium infection [47]. This may be because overcrowding conditions facilitate closer and more frequent personal contacts, enhancing the transmission risk of Cryptosporidium through the fecal-oral route [48]. Furthermore, older siblings, who may have lower hygiene standards than adults, are often involved in the care of younger siblings, potentially increasing the risk of infection.
Breast milk provides effective passive immunity to newborns against a wide range of enteric pathogens [49]. Children who were not exclusively breastfed were 1.6 times more likely to develop Cryptosporidium infection than those who were exclusively breastfed. This finding is consistent with a study conducted in south east of Iran that reported breastfed infants were less susceptible to Cryptosporidium infection [50]. Similarly, a study in Cameroon found a higher prevalence of Cryptosporidium infection among children who were not exclusively breastfed compared to those who were [43]. Other studies have also reported that non-exclusively breastfed children are more likely to develop diarrhea [51,52]. This protective effect of breastfeeding is attributed to the presence of secretory immunoglobulin A in breast milk, which helps shield children from mucosal pathogens. Additionally, breast milk contains other protective molecules such as IgG, IgM, IgD, lactoferrin, lactoperoxidase, and various leukocytes that safeguard the mucous membrane against gastrointestinal pathogens [53]. Moreover, children who are not exclusively breastfed may be more exposed to Cryptosporidium through contaminated food and drinks.
We found that diarrhea in the household and contact with diarrheic individuals were significant risk factors for Cryptosporidium infection among diarrheic children (p-value < 0.05). Similarly, previous studies have indicated that household diarrhea is one of the most relevant risk factors associated with Cryptosporidium infection in low- and middle-income countries [11]. Additionally, contact with a person with diarrhea has been identified as a risk factor for Cryptosporidium infection. This implies that close person-to-person contact is a major transmission route for Cryptosporidium, consistent with findings from other studies [21,54].
Furthermore, this study showed that not washing hands after using the toilet and using toilet paper or were significant risk factors for Cryptosporidium infection in children. This may be because individuals who use toilet paper perceive themselves as clean, and therefore often neglect thorough washing of their hands. This can lead to contamination of food, surfaces, or direct contact with children, facilitating fecal-oral transmission of Cryptosporidium. The used toilet paper may also contaminate the environment around the toilet, and children may acquire the infection from that environment or from family members. Supporting this, a study found that infrequent handwashing practices were an independent predictor of increased diarrheal morbidity [55]. Taken together, these findings highlight the importance of case contact in transmitting Cryptosporidium, similar to other fecal-orally infectious diseases, and emphasize the role of personal hygiene such as proper handwashing and child hygiene in reducing Cryptosporidium transmission.
In this study, Cryptosporidium infection was more prevalent in children who had diarrhea for more than three days before the study (p-value < 0.05). This finding is consistent with studies from other sub-Saharan African countries, which have shown that Cryptosporidium infection is associated with prolonged or persistent diarrhea [4,9,29]. Moreover, fever was commonly observed in children with Cryptosporidium infection in this study. However, other studies have reported no significant association between fever and Cryptosporidium infection [48,56].
In the present study, age and gender of the child, treatment of drinking water, availability of a latrine, and handwashing before feeding and after helping a child defecate showed no significant association with Cryptosporidium infection (p > 0.05). Previous studies have also indicated that the prevalence of cryptosporidiosis was not statistically associated with age [43] and gender, with a p-value of >0.05 [42,57]. This may be because children are likely exposed to the same risk factors, regardless of their sex [58]. However, a study conducted in Tigray (north Ethiopia) showed that Cryptosporidium infection was related to age, with higher prevalence in younger age groups (≤ 15 years), and to sex, with a higher prevalence in females [28]. This discrepancy may be due to the broader age range in the Tigray study, which included individuals aged 4–80 years, whereas the current study focused on children aged 1–59 months. Unlike young children, adult females and males may not be equally exposed to the same risk factors for Cryptosporidium infection, and there may also be differences in their immune responses.
In contrast to the well-established role of animals in the transmission of cryptosporidiosis in some settings [59], as well as findings from a systematic review and meta-analysis in low- and middle-income countries [11] and in Ethiopia [16], which indicated that animal contact was significantly associated with Cryptosporidium infection, this study found that the presence and contact with animals were not significantly associated with cryptosporidiosis among children. This finding is consistent with a previous study in Ethiopia and elsewhere [60,61]. This may be due to the fact that zoonotic transmission of Cryptosporidium occurs relatively rarely in Sub-Saharan Africa compared with in developed countries like in Europe, predominantly due to the Cryptosporidium species distribution being very different [62,63]. In our study also, where livestock ownership was not associated with Cryptosporidium infection, anthroponotic species, particularly C. hominis, predominated in the study area [64], as has previously been observed in other urban and semi-urban settings of developing countries [62]. In addition, among the of Cryptosporidium species detected from livestock fecal samples investigated during the study period, only C. ubiquitum, C. xiaoi and C. ryanae were identified, of which only C. ubiquitum is considered to have zoonotic potential [64].
This study has strengths, such as utilizing a more sensitive and specific laboratory test, AP fluorescence microscopy, to diagnose Cryptosporidium infection, unlike most previous studies that relied on the modified Ziehl-Neelsen staining method. As a result, this study provides a relatively more accurate estimate of the infection burden. Additionally, data were collected over a one-year period, which is important for assessing seasonal variations in Cryptosporidium infection among diarrheic children under five in eastern Ethiopia. The study is further strengthened by the molecular characterization of Cryptosporidium species from both children and livestock [64]. It also has some limitations, such as the cross-sectional design, which assesses variables at a single point in time, making it challenging to infer cause-and-effect relationships. Additionally, there may be recall bias, as caregivers may provide incorrectly recalled information about symptoms or risk factors. Only a single stool sample was tested per child, potentially leading to false negatives, as Cryptosporidium oocysts may shed inconsistently. Therefore, the findings of this study should be interpreted with caution.
Conclusions
Cryptosporidium spp. infection was found to be highly prevalent in diarrheic children under five years of age seeking healthcare in Eastern Ethiopia. Several factors were significantly associated with the infection, including hygiene parameters in the child’s environment, exclusive breastfeeding status, diarrhea in the household, seasonal effects, and caretakers’ educational status. Therefore, raising community awareness about the seasonality of disease, the importance of exclusive breast feeding, and the relevance of proximity and person to person close contact for transmission of Cryptosporidium infection is recommended. Molecular-based studies that investigate the frequency and diversity of Cryptosporidium species and genotypes would also be valuable for better understanding the sources of transmission in Ethiopia.
Supporting information
S1 Table. Binary robust Poison regression analysis to select candidate variables for multiple robust Poison regression.
https://doi.org/10.1371/journal.pntd.0013386.s001
(DOCX)
S2 Table. Studies reporting prevalence of Cryptosporidium infection among diarrheic children under five years of age in Sub-Saharan Africa countries.
https://doi.org/10.1371/journal.pntd.0013386.s002
(DOCX)
Acknowledgments
We sincerely thank AHRI for supporting for fieldwork and laboratory analysis. We also extend our gratitude to Haramaya University for its logistical support, including transportation facilitation for data collection and other study-related activities. We are deeply grateful to all the children and their caregivers for their participation in this study, as well as to the health center staff for their valuable assistance in sample and data collection. Additionally, we appreciate the contributions of the laboratory technologists from the respective health centers and the School of Medical Laboratory Sciences, Haramaya University. We also acknowledge the drivers who assisted during data and sample collection. We extend our thanks to the Oromia Regional Laboratory for providing auramine O stains, the Dire Dawa Regional Laboratory for providing phenol chemicals, and the Sabata Veterinary Institute for providing potassium dichromate. Finally, we express our gratitude to the One Health staff at AHRI, Dr. Ashenafi G. Giorgis for facilitating support from AHRI, Mr. Lema Demise for his support in statistical analysis, and Mr. Galano Mamo for drawing the study area map.
References
- 1. Demissie GD, Yeshaw Y, Aleminew W, Akalu Y. Diarrhea and associated factors among under five children in sub-Saharan Africa: evidence from demographic and health surveys of 34 sub-Saharan countries. PLoS One. 2021;16(9):e0257522. pmid:34543347
- 2. Carvajal-Vélez L, Amouzou A, Perin J, Maïga A, Tarekegn H, Akinyemi A, et al. Diarrhea management in children under five in sub-Saharan Africa: does the source of care matter? A Countdown analysis. BMC Public Health. 2016;16:830. pmid:27538438
- 3. Saeed A, Abd H, Sandstrom G. Microbial aetiology of acute diarrhoea in children under five years of age in Khartoum, Sudan. J Med Microbiol. 2015;64(Pt 4):432–7. pmid:25713206
- 4. Kotloff KL, Nataro JP, Blackwelder WC, Nasrin D, Farag TH, Panchalingam S, et al. Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study. Lancet. 2013;382(9888):209–22. pmid:23680352
- 5. Ryan U, Zahedi A, Paparini A. Cryptosporidium in humans and animals-a one health approach to prophylaxis. Parasite Immunol. 2016;38(9):535–47. pmid:27454991
- 6. Kurenzvi L, Sebunya TK, Coetzee T, Paganotti GM, Teye MV. Prevalence of Cryptosporidium parvum, Giardia intestinalis and molecular characterization of group A rotavirus associated with diarrhea in children below five years old in Gaborone, Botswana. Pan Afr Med J. 2020;37:159. pmid:33425192
- 7. Sow SO, Muhsen K, Nasrin D, Blackwelder WC, Wu Y, Farag TH, et al. The burden of cryptosporidium diarrheal disease among children < 24 months of age in moderate/high mortality regions of Sub-Saharan Africa and South Asia, utilizing data from the global enteric multicenter study (GEMS). PLoS Negl Trop Dis. 2016;10(5):e0004729. pmid:27219054
- 8. Pignata C, Bonetta S, Bonetta S, Cacciò SM, Sannella AR, Gilli G. Cryptosporidium oocyst contamination in drinking water: a case study in Italy. Int J Environ Res Public Health. 2019;16(11):2055.
- 9. Khalil IA, Troeger C, Rao PC, Blacker BF, Brown A, Brewer TG, et al. Morbidity, mortality, and long-term consequences associated with diarrhoea from Cryptosporidium infection in children younger than 5 years: a meta-analyses study. Lancet Glob Health. 2018;6(7):e758–68. pmid:29903377
- 10. Checkley W, White AC Jr, Jaganath D, Arrowood MJ, Chalmers RM, Chen X-M, et al. A review of the global burden, novel diagnostics, therapeutics, and vaccine targets for cryptosporidium. Lancet Infect Dis. 2015;15(1):85–94. pmid:25278220
- 11. Bouzid M, Kintz E, Hunter PR. Risk factors for Cryptosporidium infection in low and middle income countries: a systematic review and meta-analysis. PLoS Negl Trop Dis. 2018;12(6):e0006553. pmid:29879110
- 12. Kotloff KL, Platts-Mills JA, Nasrin D, Roose A, Blackwelder WC, Levine MM. Global burden of diarrheal diseases among children in developing countries: Incidence, etiology, and insights from new molecular diagnostic techniques. Vaccine. 2017;35(49 Pt A):6783–9. pmid:28765005
- 13. Alebel A, Tesema C, Temesgen B, Gebrie A, Petrucka P, Kibret GD. Prevalence and determinants of diarrhea among under-five children in Ethiopia: a systematic review and meta-analysis. PLoS One. 2018;13(6):e0199684. pmid:29953555
- 14. Troeger C, Forouzanfar M, Rao PC, Khalil I, Brown A, Reiner RC Jr, et al. Estimates of global, regional, and national morbidity, mortality, and aetiologies of diarrhoeal diseases: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Infect Dis. 2017;17(9):909–48. pmid:28579426
- 15. Squire SA, Ryan U. Cryptosporidium and Giardia in Africa: current and future challenges. Parasit Vectors. 2017;10(1):195. pmid:28427454
- 16. Tarekegn ZS, Tigabu Y, Dejene H. Cryptosporidium infection in cattle and humans in Ethiopia: a systematic review and meta-analysis. Parasite Epidemiol Control. 2021;14:e00219. pmid:34337169
- 17. Mutai DC, Owili PO, Muga MA. Trend of Cryptosporidium infection among children below 24 months in an informal urban settlement, Kenya. Open J Med Microbiol. 2020;10(03):153–61.
- 18. Lamido TZ, Yahaya Y, Yahaya SU, Jummai GF, Adebola O. Comparison of modified Ziehl Neelsen staining technique with antigen detection using ELISA in the diagnosis of Cryptosporidiosis at a tertiary hospital in north-western Nigeria. Afr J Microbiol Res. 2022;16(9):296–300.
- 19. Johansen ØH, Abdissa A, Zangenberg M, Mekonnen Z, Eshetu B, Bjørang O, et al. Performance and operational feasibility of two diagnostic tests for cryptosporidiosis in children (CRYPTO-POC): a clinical, prospective, diagnostic accuracy study. Lancet Infect Dis. 2021;21(5):722–30. pmid:33278916
- 20.
Csa E. Population projections for Ethiopia 2007–2037. Addis Ababa. 2013. https://ecde.aau.edu.et/jspui/handle/123456789/460
- 21. Krumkamp R, Aldrich C, Maiga-Ascofare O, Mbwana J, Rakotozandrindrainy N, Borrmann S, et al. Transmission of Cryptosporidium species among human and animal local contact networks in sub-saharan africa: a multicountry study. Clin Infect Dis. 2021;72(8):1358–66. pmid:32150243
- 22.
WHO. Diarrhoeal disease. World Health Organization (WHO). 2017. https://communitymedicine4asses.wordpress.com/2017/05/01/who-updates-fact-sheet-on-diarrhoeal-diseases-1-may-2017/.
- 23. Johansen ØH, Abdissa A, Bjørang O, Zangenberg M, Sharew B, Alemu Y, et al. Oocyst shedding dynamics in children with cryptosporidiosis: a prospective clinical case series in Ethiopia. Microbiol Spectr. 2022;10(4):e0274121. pmid:35699433
- 24. Abera B, Hailu T, Beza L, Mulu W, Yizengaw E, Kibret M. Aetiology of acute diarrhoea and antimicrobial usage among children aged under five years at health centres in Bahir Dar, Ethiopia. Trop Doct. 2020;50(3):190–4. pmid:32223540
- 25. Manouana GP, Byrne N, Mbong NM, Nguema MA, Hofmann P, Bingoulou MG, et al. Prevalence of Pathogens in Young Children Presenting to Hospital with Diarrhea from Lambaréné, Gabon. Am J Trop Med Hyg. 2021;105(1):254–60.
- 26. Bauhofer AFL, Cossa-Moiane ILC, Marques SDA, Guimarães ELAM, Munlela BA, Anapakala EM, et al. Intestinal protozoa in hospitalized under-five children with diarrhoea in Nampula - a cross-sectional analysis in a low-income setting in northern Mozambique. BMC Infect Dis. 2021;21(1):201. pmid:33622284
- 27. Moyo SJ, Kommedal Ø, Blomberg B, Hanevik K, Tellevik MG, Maselle SY, et al. Comprehensive analysis of prevalence, epidemiologic characteristics, and clinical characteristics of monoinfection and coinfection in diarrheal diseases in children in Tanzania. Am J Epidemiol. 2017;186(9):1074–83. pmid:28541454
- 28. Kifleyohannes T, Nødtvedt A, Debenham JJ, Tysnes KR, Terefe G, Robertson LJ. Cryptosporidium and Giardia infections in humans in Tigray, Northern Ethiopia: an unexpectedly low occurrence of anthropozoonotic transmission. Acta Trop. 2022;231:106450. pmid:35395229
- 29. Delahoy MJ, Omore R, Ayers TL, Schilling KA, Blackstock AJ, Ochieng JB. Clinical, environmental, and behavioral characteristics associated with Cryptosporidium infection among children with moderate-to-severe diarrhea in rural western Kenya, 2008–2012: the global enteric multicenter study (GEMS). PLoS Negl Trop Dis. 2018;12(7):e0006640.
- 30. Wasike W, Kutima H, Muya M, Wamachi A. Epidemiology of Cryptosporidium spp. and other enteric parasites in children up to five years of age in Bungoma County, Kenya. J Biol Food Sci Res. 2015;4(1):1–6.
- 31. Bitilinyu-Bangoh JEV, Riesebosch S, Rebel M, Chiwaya P, Verschoor SP, Voskuijl WP, et al. Prevalence of Cryptosporidium and Giardia infections in under-five children with diarrhoea in Blantyre, Malawi. BMC Infect Dis. 2024;24(1):68. pmid:38195415
- 32. Cassocera M, Bambo M, Anapakala E, Chissaque A, Sambo J, Langa JS, et al. High frequency of Cryptosporidium hominis infecting infants points to a potential anthroponotic transmission in Maputo, Mozambique. PloS Pathog. 2022;:1–12.
- 33. Ferreira FS, Pereira F da LM, Martins M do RO. Intestinal parasitic infections in children under five in the Central Hospital of Nampula, Northern Mozambique. J Infect Dev Ctries. 2020;14(5):532–9. pmid:32525841
- 34. Agba AA, Aken’Ova TO, Audu PA. Cryptosporidium infection among children attending some hospitals in Funtua Local Government Area, Katsina State, Nigeria. Zoologist (The). 2018;16(1):1.
- 35. Potgieter N, Heine L, Ngandu JPK, Ledwaba SE, Zitha T, Mudau LS, et al. High burden of co-infection with multiple enteric pathogens in children suffering with Diarrhoea from rural and peri-urban communities in South Africa. Pathogens. 2023;12(2):315. pmid:36839587
- 36. Gasparinho C, Mirante MC, Centeno-Lima S, Istrate C, Mayer AC, Tavira L. Etiology of Diarrhea in children younger than 5 years attending the Bengo General Hospital in Angola. Pediatr Infect Dis J. 2016;35(2):e28-34.
- 37. Mero S, Timonen S, Lääveri T, Løfberg S, Kirveskari J, Ursing J, et al. Prevalence of diarrhoeal pathogens among children under five years of age with and without diarrhoea in Guinea-Bissau. PLoS Negl Trop Dis. 2021;15(9):e0009709. pmid:34587158
- 38. Deichsel EL, Hillesland HK, Gilchrist CA, Naulikha JM, McGrath CJ, Van Voorhis WC. Prevalence and correlates of cryptosporidium infections in Kenyan children with diarrhea and their primary caregivers. Open Forum Infect Dis. 2020;7(12).
- 39.
Balarabe-Musa B, Dabo NT. Epidemiology of Cryptosporidium and Rotavirus Diarrhoea in children under the age of five in Asokoro District Hospital, Abuja, Nigeria. In: Francisco Cruz S, ed. Innovations in microbiology and biotechnology Vol. 7. Book Publisher International (a part of SCIENCEDOMAIN International); 2022. 104–25. doi: https://doi.org/10.9734/bpi/imb/v7/7650f
- 40. Akpakpan EE, Inabo HI, Aminu–Mukhtar M. Cryptosporidium parvum infection and nutritional status of children under-five years in some selected hospitals in Kaduna State, Nigeria. Int J Sci Res Publ. 2016;6(1).
- 41. Tamomh AG, Agena AM, Elamin E, Suliman MA, Elmadani M, Omara AB, et al. Prevalence of cryptosporidiosis among children with diarrhoea under five years admitted to Kosti teaching hospital, Kosti City, Sudan. BMC Infect Dis. 2021;21(1):349. pmid:33853528
- 42. Khan A, Shams S, Khan S, Khan MI, Khan S, Ali A. Evaluation of prevalence and risk factors associated with Cryptosporidium infection in rural population of district Buner, Pakistan. PLoS One. 2019;14(1):e0209188. pmid:30601870
- 43. Tombang AN, Ambe NF, Bobga TP, Nkfusai CN, Collins NM, Ngwa SB, et al. Prevalence and risk factors associated with cryptosporidiosis among children within the ages 0-5 years attending the Limbe regional hospital, southwest region, Cameroon. BMC Public Health. 2019;19(1):1144. pmid:31429732
- 44. Kpene GE, Lokpo SY, Deku JG, Agboli E, Owiafe PK. Asymptomatic intestinal parasitic infestations among children under five years in selected communities in the Ho Municipality, Ghana. Ethiop J Health Sci. 2020;30(6):867–74. pmid:33883830
- 45. Cossa-Moiane I, Cossa H, Bauhofer AFL, Chilaúle J, Guimarães EL, Bero DM, et al. high frequency of cryptosporidium hominis infecting infants points to a potential anthroponotic transmission in Maputo, Mozambique. Pathogens. 2021;10(3):293. pmid:33806380
- 46. Sarkar R, Kattula D, Francis MR, Ajjampur SS, Prabakaran AD, Jayavelu N. Risk factors for cryptosporidiosis among children in a semi urban slum in southern India: a nested case-control study. Am J Trop Med Hyg. 2014;91(6):1128.
- 47. Paredes JL, Navarro R, Durand D, Ochoa TJ. Cryptosporidium infection and associated risk factors among children from rural areas in Peru: a nested case–control study. J Trop Pediatr. 2023;69(3).
- 48. Korpe PS, Valencia C, Haque R, Mahfuz M, McGrath M, Houpt E, et al. Epidemiology and risk factors for cryptosporidiosis in children from 8 low-income sites: results from the MAL-ED study. Clin Infect Dis. 2018;67(11):1660–9. pmid:29701852
- 49. Hurley WL, Theil PK. Perspectives on immunoglobulins in colostrum and milk. Nutrients. 2011;3(4):442–74.
- 50. Dabirzadeh M, Khoshsima Shahraki M, Rostami D, Bagheri S. Prevalence of Cryptosporidium species in children referred to central and hospital laboratories of Zabol city, south east of Iran. Int J Pediatr. 2017;5(12):6359–64.
- 51. Ashole Alto A, Godana W, Gedamu G. Impact of community-led total sanitation and hygiene on prevalence of diarrheal disease and associated factors among under-five children: a comparative cross-sectional study in selected Woredas of Gamo Gofa Zone, Southern Ethiopia. Advances in Public Health. 2020;2020:1–12.
- 52. Takele K, Zewotir T, Ndanguza D. Risk factors of morbidity among children under age five in Ethiopia. BMC Public Health. 2019;19(1):942. pmid:31307433
- 53. Camacho-Morales A, Caba M, García-Juárez M, Caba-Flores MD, Viveros-Contreras R, Martínez-Valenzuela C. Breastfeeding contributes to physiological immune programming in the newborn. Front Pediatr. 2021;9:744104. pmid:34746058
- 54. Korpe PS, Gilchrist C, Burkey C, Taniuchi M, Ahmed E, Madan V, et al. Case-control study of cryptosporidium transmission in Bangladeshi households. Clin Infect Dis. 2019;68(7):1073–9. pmid:30192924
- 55. Ahmed Ismail M, Abdilahi MM, Abdeeq BA, Jama M. Prevalence and associated factors of acute diarrhea among under-five children living in Hargeisa internally displaced persons, Somaliland: a community-based cross-sectional study. Pan Afr Med J. 2024;47:10. pmid:38371646
- 56. Mohammad SM, Ali MS, Abdel-Rahman SA, Moustafa RA, Sarhan MH. Genotyping of Cryptosporidium species in children suffering from diarrhea in Sharkyia governorate, Egypt. J Infect Dev Ctries. 2021;15(10):1539–46. pmid:34780378
- 57. Liu H, Shen Y, Yin J, Yuan Z, Jiang Y, Xu Y, et al. Prevalence and genetic characterization of Cryptosporidium, Enterocytozoon, Giardia and Cyclospora in diarrheal outpatients in China. BMC Infect Dis. 2014;14:25. pmid:24410985
- 58. Quihui-Cota L, Lugo-Flores CM, Ponce-Martínez JA, Morales-Figueroa GG. Cryptosporidiosis: a neglected infection and its association with nutritional status in schoolchildren in northwestern Mexico. J Infect Dev Ctries. 2015;9(8):878–83. pmid:26322881
- 59. Chalmers RM, Giles M. Zoonotic cryptosporidiosis in the UK - challenges for control. J Appl Microbiol. 2010;109(5):1487–97. pmid:20497274
- 60. Sarkar R, Ajjampur SSR, Prabakaran AD, Geetha JC, Sowmyanarayanan TV, Kane A, et al. Cryptosporidiosis among children in an endemic semiurban community in southern India: does a protected drinking water source decrease infection?. Clin Infect Dis. 2013;57(3):398–406. pmid:23709650
- 61. Johansen ØH, Abdissa A, Zangenberg M, Mekonnen Z, Eshetu B, Sharew B, et al. A comparison of risk factors for cryptosporidiosis and non-cryptosporidiosis diarrhoea: a case-case-control study in Ethiopian children. PLoS Negl Trop Dis. 2022;16(6):e0010508. pmid:35666717
- 62. Robertson LJ, Johansen ØH, Kifleyohannes T, Efunshile AM, Terefe G. Cryptosporidium infections in Africa-how important is zoonotic transmission? A review of the evidence. Front Vet Sci. 2020;7:575881. pmid:33195574
- 63. Ryan U, Fayer R, Xiao L. Cryptosporidium species in humans and animals: current understanding and research needs. Parasitology. 2014;141(13):1667–85. pmid:25111501
- 64. Abate D, Tschopp R, Seyoum B, Dessie Y, Hassen MO, Gemechu G, et al. Genetic diversity of Cryptosporidium isolates from young children and livestock in eastern Ethiopia. Curr Res Parasitol Vector Borne Dis. 2025;8:100278. pmid:40621372