Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 13 March 2020
Sec. Infectious Diseases: Epidemiology and Prevention

Factors Associated With Cryptosporidium Infection Among Adult HIV Positive Population in Contact With Livestock in Namwala District, Zambia

  • 1School of Public Health, University of Zambia, Lusaka, Zambia
  • 2Department of Clinical Studies, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia
  • 3Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia

Cryptosporidium spp. is one of the leading causes of diarrhoeal disease globally. In Zambia, the burden of Cryptosporidium infection in the general human population is unknown and factors associated with it are unclear. A study was conducted to determine the prevalence of Cryptosporidium spp. and identify factors associated with its infection among Human Immunodeficiency Virus (HIV) positive individuals in contact with livestock in Namwala district of Zambia. Three hundred and twenty six stool samples were collected from HIV infected individuals presenting at local health centers in Namwala district of Zambia between August 2015 and June 2016. The Meriflour Cryptosporidium/Giardia test kit was used to test for presence of oocysts. Demographic information such as age and sex and information on hypothesized risk factors was collected using a structured questionnaire. Overall prevalence of Cryptosporidium infection was 9.5% (95% CI = 6.7–13.2%); 13.3% and 7.1% among male and female participants, respectively. Males were 2.5 times more likely to be infected than females whereas the divorced had higher odds of being infected (OR = 14.8). Participants who kept animals had a higher prevalence (11.4%) than those that did not (7.0%). Those that shared water with neighbors were 5.7 times more likely to be infected than those who did not. We conclude that Cryptosporidium infection is prevalent among HIV positive adults in Namwala district and infection is associated with sex, marital status and sharing water sources among neighbors. Community sensitization is required to create awareness and reduce human exposure to Cryptosporidium infection.

Introduction

Cryptosporidium infection is one of the important causes of diarrhoeal illnesses worldwide. It particularly afflicts young children and immune-compromised patients (1), more so in developing countries (i.e. Africa, Asia, and South America) with high prevalence of HIV/AIDS (2, 3).

Globally, the exact burden of cryptosporidiosis is still uncertain due to inactive surveillance. However, there is some information from different regions worldwide (4). In Zambia and the subregion, the burden of Cryptosporidium infection in the general human population is unknown as most studies were focused on specific groups of people such as children, or HIV infected persons (57). The factors associated with this infection are equally unclear, however, studies elsewhere have postulated that contact with animals, international travel and concurrent immunosuppressive disease are associated with infection (8). It is also reported that close contact among humans particularly under poor hygienic conditions tend to favor parasite transmission (9, 10). Consequently, failure to correctly diagnose cryptosporidiosis is fatal, especially for immune compromised HIV sero-positive individuals. In the various provinces and districts of Zambia, information on the exact burden is limited because previous studies mainly focused on children below the age of five (1113), and farm workers (14). In adults, a study done from four townships in Lusaka province reported that 15 of the 16 adult patients diagnosed with cryptosporidiosis were HIV sero-positive (15), indicating a high number of cases in these patients. The prevalence of HIV/AIDS in Zambia is estimated to be 13% (16).

Cryptosporidium infection has been reported in animals in Zambia (2, 1719). In Namwala district, majority of the population are livestock farmers (16). With the increase in livestock rearing in Namwala and reported zoonotic Cryptosporidium species in livestock (17, 19), there was need to determine the burden of Cryptosporidium infection particularly among immune compromised adult HIV patients in contact with livestock. This study was therefore aimed at determining the prevalence of Cryptosporidium spp. and identifying associated risk factors among the adult HIV positive population in contact with livestock in Namwala district of Zambia.

Materials and Methods

Study Area

The study was conducted in Namwala district in the Southern province of Zambia, located on the Kafue River. Southern province was selected due to the high cattle population in the area. According to the Central Statistical Office (CSO), the cattle population in Southern province stands at 1,293,715 (20). Namwala is predominantly rural with extensive human-cattle interaction from traditional cattle rearing commonly practiced in the area. Estimated human population of the district is 106,834 (16) while cattle population is estimated to be 300,000 herds (21).

Namwala district has one general hospital and 12 rural health centers (from which four centers were selected for the study). It also has one District Veterinary Office with 12 Veterinary Camps that are manned by veterinary assistants.

Study Design and Study Population

This was a cross-sectional health facility based survey conducted between August 2015 and June 2016 among consenting adult (≥18 years old) HIV patients. The participants were drawn from HIV patients receiving Anti Retro-viral Treatment (ART) (for more than 6 months) from Namwala District Hospital, Maala Rural Health Centre, Chitongo Rural Health Centre, and Kabulamwanda Rural Health Centre. Eligible participants who lived in Namwala for <6 months, did not consent, were pregnant and persons who were on anti-protozoal treatment were excluded from the study.

Sampling and Sample Size Estimation

The estimated sample size was 388 using the formula: n = z2 × p (1−p)/ϵ (22), with the assumption that the estimated Cryptosporidium infection in the HIV infected adult population in Zambia was 28 (23), with 95% Confidence Interval and 80% power of the study. Sample size was distributed across the health centers using probability proportional to size. ART patient registers served as the sampling frame.

About 10–20 g of stool sample was collected from each of the 326 participants in stool specimen containers. Samples were collected from health facilities and immediately submitted to the research team after labeling. These were preserved in 10% formalin and later transported in cooler boxes to the University of Zambia, School of Veterinary Medicine, Public health laboratory and the Central Veterinary Research Institute (CVRI) for analysis. A pre-tested close-ended questionnaire was used to collect data on demographic parameters (age, sex, education, employment status, and income), water and sanitation and farm management practices likely to increase the risk for Cryptosporidium infection.

Laboratory Sample Analysis

The Meridian Merifluor® Cryptosporidium/Giardia kit (Meridian Diagnostics Inc., Cincinnati, Ohio, USA) was used for detection of Cryptosporidium oocysts in the fecal samples according to manufacturer's instructions. The diagnostic kit detects Cryptosporidium oocysts and Giardia cysts and the two were differentiated based of size and shape. The test has a high specificity and sensitivity (24). Slides were examined using an epi-fluorescence microscope (Olympus CX31). A sample was considered positive if at least one oocyst was visualized under the microscope, with the characteristic apple green fluorescence.

Data Analysis

Questionnaire data and laboratory results were checked for completeness and entered in Microsoft Excel. Data was then exported to STATA® statistical package version 13.0 for coding and analysis. Descriptive statistics were generated for all the variables under study. Chi square and Fisher's exact tests (where applicable) were used to test for associations between the disease outcome and the hypothesized risk factors in univariate analysis. Further analysis was done using multiple logistic regression to determine predictors of Cryptosporidium infection. All results were considered significant at p ≤ 0.05.

Results

Socio-Demographic Factors and Prevalence of Cryptosporidium in HIV Positive Patients

Of the 326 participants, 61% (198/326) were females while 39% were males. Majority (51%) of the participants was aged between 30 and 49 years and the mean age was 35.6 ± SD 11.8. About 71% of the participants were married. Most participants had attended primary education (64%) with only three percent being in formal employment. Farming, which included both livestock rearing and crop cultivation, was the major occupation (70%), followed by trading (28%).

The overall prevalence of Cryptosporidium infection among adult HIV positive patients was 9.5% (95% CI: 6.7–13.2%). This varied according to sex (p = 0.06), being higher among males (13.3%; 14/128) compared to females (7.1%; 17/198). Variation in prevalence was also observed among the different age groups (Table 1) but the difference was not statistically significant (p = 0.25). A statistically significant association was observed with marital status (p = 0.02) with the divorced group having a higher prevalence compared to other categories. When the prevalence of Cryptosporidium was compared in the four sampled areas, there was no difference in the infection rates (p = 0.52) (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Association of Cryptosporidium infection and socio-demographic characteristics for the adult HIV positive population in Namwala district (n = 326).

Environmental Factors and Prevalence of Cryptosporidium in HIV Positive Patients

Table 2 summarizes associations of Cryptosporidium infection and environmental characteristics considered among adult HIV positive patients. Household water sources, treatment of water before consumption, treatment method and sharing water source with animals were not significantly associated Cryptosporidium infection. However, sharing water source with their neighbors was significantly associated with infection (p = 0.01).

TABLE 2
www.frontiersin.org

Table 2. Association of Cryptosporidium and environmental characteristics for the adult HIV positive population (n = 326).

Farm Management Practices and Prevalence of Cryptosporidium

There was no statistical difference (p = 0.18) in Cryptosporidium infection rates between participants who kept animals (11.4%; 21/184) and those that did not (7.0%; 10/142), even though the infection was relatively higher in those that kept animals (11.4%). It was further observed that Cryptosporidium infection in participants was similar whether their animals or farm had a diarrhea episode or not for all the different animal species kept (Table 3). Type of husbandry (p = 1.00), contact with animals (p = 0.23) and the type of contact (p = 1.00) for the different animal species kept on the farms had no influence on Cryptosporidium infection among the HIV positive individuals. Furthermore, other factors investigated such as contact with livestock by family members (p = 0.45) and whether neighbors kept animals (p = 0.71) showed no relationship with Cryptosporidium infection among the HIV positive individuals (Table 4).

TABLE 3
www.frontiersin.org

Table 3. Association of Cryptosporidium infection and husbandry practices among adult HIV positive population of Namwala district, Zambia (n = 326).

TABLE 4
www.frontiersin.org

Table 4. Relationship between Cryptosporidium infection in HIV positive individuals and contact with livestock among family members in Namwala district, Zambia (n = 326).

Association Between Cryptosporidium Infection and Diarrhea

About 19% of the participants or their family members reported having had a diarrhea episode 3 weeks prior to the study; 6% of these experienced diarrhea after having prior contact with an individual or animal suffering from diarrhea. Prevalence of Cryptosporidium in participants with diarrhea was not different from that in participants with no diarrhea (9.8% vs. 9.4%; p = 0.92).

Predisposing Factors of Cryptosporidium Infection

Employing multivariate analysis, sex, marital status and sharing water source with neighbors were significantly associated with Cryptosporidium infection (Table 5). Males were 2.5 times more likely to be infected with Cryptosporidium than females (p = 0.02). The divorced were 14 times more likely to be infected than those who were single (p = 0.02). Furthermore, sharing water source with neighbors was also a significant predictor of Cryptosporidium infection (OR=5.7; p = 0.03) (Table 5).

TABLE 5
www.frontiersin.org

Table 5. Factors associated with Cryptosporidium infection in the adult HIV population in Namwala District (n = 326).

Table 6 shows the number of infected males and female individuals disaggregated based on age, marital status and contact with animals. There was a significant difference in the number of infected males and females based on age and marital status. The number of infected individuals based on material status and whether they kept animals or not was also significantly different. The number of Cryptosporidium positive individuals was higher for those that kept animals (Table 6).

TABLE 6
www.frontiersin.org

Table 6. Cross tabulation of male and female participants infected with Cryptosporidium according to age, marital status, and contact with animals in adult HIV population in Namwala District (n = 326).

Discussion

This study aimed to determine the prevalence of Cryptosporidium spp. and identify associated risk factors among adult HIV positive people in contact with livestock in Namwala district of Zambia. It was established that adult HIV positive people are exposed to Cryptosporidium infection, with sex, marital status and sharing water source with neighbors being significant predictors of infection.

The prevalence estimated in this study (9.5%) is lower than that reported in Kenya (34%) (25). This could be attributed to use of a more sensitive polymerase chain reaction (PCR) in the Kenyan study, and the study population comprised of untreated HIV positive individuals. Individuals in the current study were on ART, a treatment known to help in reducing susceptibility to opportunistic infections such as those by Cryptosporidium spp.; and reducing duration of associated clinical signs (26). Results also revealed that males were more likely to have Cryptosporidium infection than females. Differences in social responsibilities that expose males to infection more than females could be responsible for the variations. For example, males are responsible for herding the animals while females mostly perform other household chores; such social responsibilities may cause increased contact with livestock through herding and milking, although this assertion is not supported by findings from the current study. Other studies have equally reported no relationship between gender and Cryptosporidium infection (14, 25).

Significant association was observed between marital status and Cryptosporidium infection with those divorced being at higher risk than other groups. The risk was shared between males and females (Table 6), that is, the number infected was the same. This disagrees with Wanyiri (25) who found those married to be at risk, although their results were not further disaggregated. This result is not easily discernible but could be attributed to high stress levels in the divorced group giving way to opportunistic infections. In social setups like those in Namwala, divorced women become vulnerable to material poverty since majority of marriages are customary and most of the financial assets (land and cattle) are usually taken away by the household heads (who are males) after divorce (27). On the other hand, age was not associated with Cryptosporidium infection and this supports findings from a previous study in Lusaka, Zambia (2). Individuals aged 50 years and above had a relatively high prevalence than other age groups (Table 1). This could be attributed to the weakened immune system of individuals as they grow older, hence becoming more susceptible to opportunistic infections like Cryptosporidium spp. infections (28). Participants who kept animals were twice as likely to be infected as those who did not. Contact with domestic animals, which is expected in people that rear animals especially among small scale farmers (that are unable to outsource labor), could have exposed the participants to Cryptosporidium infection. This affirms assertions that domestic animals are possible sources for human infection and contact with these animals is a known risk factor for infection (2, 25, 29). Participants with young animals that had diarrhea 3 weeks prior to the study had a high chance of having Cryptosporidium infection. Contact with cattle, especially calves, has been shown to increase the risk of exposure to Cryptosporidium (2, 25, 30). Taking into consideration the study area with its high livestock numbers and the current evidence of Cryptosporidium infection in the immune-compromised individuals (HIV infected), it is evident that health care providers cannot ignore the fact that routine screening for opportunistic infections in high risk groups should be a priority. Activity surveillance for Cryptosporidium infection accompanied by targeted health education will help reduce infections.

Prevalence of Cryptosporidium spp. in participants with history of diarrhea in the 3 months prior to the study was marginally higher than those with no diarrhea. Most participants were asymptomatic during sample collection but were probably still shedding oocysts. The finding of slightly high prevalence in diarrhoeic participants concurs with findings from Kenya among HIV positive individuals not yet on ART (25), and Zambian children (31).

Sharing water sources with neighbors was associated with Cryptosporidium infection. Inadequate or improper hygiene practices can contaminate water (32, 33), however, the finding could have been by chance as the water sources could have been contaminated along the conveyance lines. It is important to note that recent publications indicate that anthroponotic transmission of Cryptosporidium appear to predominate in countries with poor sanitation (10) which could explain the lack of association between infection and sharing of water sources with animals in the current study. Household water source and sharing of water source with animals were not associated with Cryptosporidium infection. Most of the household water was sourced from boreholes which have reportedly low oocyst contamination levels (14, 34).

The current findings indicate that Cryptosporidium spp. infections are prevalent among adult HIV positive populations in contact with livestock in Namwala district. Infections are driven by socio-demographic factors (sex and marital status) and livestock production activities. The study has documented risk factors that are associated with Cryptosporidium infection in HIV infected adults, however, it is important to note that this was a health facility-based study targeting only those that attended ART clinic and therefore, the findings cannot be generalized to the general population. Based on the current findings, we recommend community sensitization on zoonotic aspects of Cryptosporidium infection to create awareness and reduce human exposure to infection in the district. Furthermore, health facilities should include screening for opportunistic infections like Cryptosporidium during routine ART clinics. Future studies should focus on establishing the species and subtypes circulating among the human and animal populations, information that is necessary to understand the molecular epidemiology of the parasite.

Data Availability Statement

All datasets for this study are included in the article.

Ethics Statement

This study was carried out in accordance with the recommendations of Excellence in Research Ethics and Science (ERES) Ref. No. 2015-June-012 with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the Excellence in Research Ethics and Science (ERES).

Author Contributions

NS, JS, JM, and CM contributed to the conception and design of the study. NS collected and analyzed the data and drafted the manuscript. NS, JS, JM, and MC participated in the analysis and interpretation of data. NS, JS, JM, CM, and MC were all involved in the preparation of subsequent manuscript drafts and read and approved the final manuscript. NS is guarantor of the paper.

Funding

This work was supported by Capacity Building in Zoonotic Diseases Management using the Integrated Approach to Ecosystems Health at Human-Livestock-Wildlife Interface in Eastern and Southern Africa (NORHED CAPAZOMANINTECO) [Grant Number UGA/13003/1] and the University of Zambia, Staff Development Office.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors wish to acknowledge the following people for their assistance during data collection: Monde Ngula, Chisoni Mumba, Mwinyi O. Mwinyi, Wizaso Mwasinga and all the field staff at the Namwala General Hospital.

References

1. Chalmers RM, Katzer F. Looking for Cryptosporidium: the application of advances in detection and diagnosis. Trends in Parasitol. (2013) 29:237–51. doi: 10.1016/j.pt.2013.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Siwila J. Prevalence, Characterization and Transmission of Cryptosporidium Species Between Animals and Humans on Diary Farms in Zambia (Master's thesis). University of Zambia, Lusaka, Zambia (2006).

3. Gupta S, Narang S, Nunavath V, Singh S. Chronic diarrhoea in HIV patients: Prevalence of coccidian parasites. Indian J Med Microbiol. (2008) 26:172–5. doi: 10.4103/0255-0857.40536

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Putignani L, Menichella D. Global distribution, public health and clinical impact of the protozoan pathogen Cryptosporidium. Interdiscip Perspect Infect Dis. (2010) 2010:753512. doi: 10.1155/2010/753512

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Chintu C, Luo C, Baboo KS, Khumalo-Ngwenya B, Mathewson J, Du Pont HL, et al. Intestinal parasites in HIV-sero-positive Zambian children with diarrhoea. J Trop Paediatr. (1995) 41:149–52. doi: 10.1093/tropej/41.3.149

CrossRef Full Text | Google Scholar

6. Tumwine JK, Kekitiinwa A, Nabukeera N, Akiyoshi DE, Rich SM, Widmer G, et al. Cryptosporidium parvum in children with diarrhoea in Mulago Hospital, Kampala, Uganda. Am J Trop Med Hyg. (2003) 68:710–5. doi: 10.4269/ajtmh.2003.68.710

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Samra AN, Jori F, Cacciò SM, Frean J, Poonsamy B, Thompson PN. Cryptosporidium genotypes in children and calves living at the wildlife or livestock interface of the Kruger National Park, South Africa. OJVR. (2016) 83:a1024. doi: 10.4102/ojvr.v83i1.1024

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Farthing MJ. Clinical aspects of human cryptosporidiosis. Contrib Microbiol. (2000) 6:50–74. doi: 10.1159/000060368

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Newman RD, Zu SH, Wuhib T, Lima AAL, Guerrant RL, Sears CL. Household epidemiology of Cryptosporidium parvum infection in an urban community in Northeast, Brazil. Ann Intern Med. (1994) 120:500–5. doi: 10.7326/0003-4819-120-6-199403150-00009

PubMed Abstract | CrossRef Full Text | Google Scholar

10. King P, Tyler KM, Hunter PT. Anthroponotic transmission of Cryptosporidium parvum predominates in countries with poorer sanitation: a systematic review and meta-analysis. Parasites Vectors. (2019) 12:16. doi: 10.1186/s13071-018-3263-0

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Nchito M, Kelly P, Sianongo S, Luo NP, Feldman R, Farthing M, et al. Cryptosporidiosis in urban Zambian children: an analysis of risk factors. Am J Trop Med Hyg. (1998) 59:435–7. doi: 10.4269/ajtmh.1998.59.435

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Amadi B, Kelly P, Mwiya M, Mulwazi E, Sianongo S, Changwe F, et al. Intestinal and systemic infection, HIV, and mortality in Zambian children with persistent diarrhea and malnutrition. JPGN. (2001) 32:550–4. doi: 10.1097/00005176-200105000-00011

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Siwila J, Phiri IG, Enemark HL, Nchito M, Olsen A. Intestinal helminths and protozoa in children in pre-schools in Kafue district, Zambia. Trans Roy Soc Trop Med Hyg. (2010) 104:122–8. doi: 10.1016/j.trstmh.2009.07.024

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Siwila J, Phiri IG, Vercruysse J, Goma F, Gabriel S, Claerebout E, et al. Asymptomatic cryptosporidiosis in Zambian dairy farm workers and their household members. Trans Roy Soc Trop Med Hyg. (2007) 101:733–4. doi: 10.1016/j.trstmh.2007.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Kelly P, Baboo K, Wolff M, Ngwenya B, Luo N, Farthing M. The prevalence and aetiology of persistent diarrhoea in adults in urban Zambia. Acta Tropica. (1996) 61:183–90. doi: 10.1016/0001-706X(95)00142-2

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Central Statistical Office (CSO) [Zambia], Ministry of Health (MOH) [Zambia], and ICF International. (2014). Zambia Demographic and Health Survey 2013-14. Rockville, MD: Central Statistical Office, Ministry of Health, and ICF International.

17. Geurden T, Goma F, Siwila J, Phiri I, Mwanza A, Gabriël S, et al. Prevalence and genotyping of Cryptosporidium in three cattle husbandry systems in Zambia. Vet Parasitol. (2006) 138:217–22. doi: 10.1016/j.vetpar.2006.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Siwila J, Mwape KE. Prevalence of Cryptosporidium spp. and Giardia duodenalis in pigs in Lusaka, Zambia: original research. OJVR. (2012)79:1–5. doi: 10.4102/ojvr.v79i1.404

CrossRef Full Text | Google Scholar

19. NDHMT (2014). Action Plan for Namwala District Health Office, 2011 - 2014. Namwala: NDHMT.

20. Central Statistical Office (2019). The 2017/18 Livestock and Aquaculture Census Report: Summary Report.

21. Munyeme M, Munang'andu HM. A review of bovine tuberculosis in the Kafue basin ecosystem. Vet Med Int. (2011) 2011:918743. doi: 10.4061/2011/918743

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Krejcie RV, Morgan DW. Determining sample size for research activities. Educ Psychol Meas. (1970) 30:607–10. doi: 10.1177/001316447003000308

CrossRef Full Text | Google Scholar

23. Holmes CB, Losina E, Walensky RP, Yazdanpanah Y, Freedberg KA. Review of human immunodeficiency virus type 1-related opportunistic infections in sub-Saharan Africa. Clin Infect Dis. (2003) 36:652–662. doi: 10.1086/367655

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Johnston SP, Ballard MM, Beach MJ, Causer L, Wilkins PP. Evaluation of three commercial assays for detection of Giardia and Cryptosporidium organisms in faecal specimens. J Clin Microbiol. (2003) 42:623–6. doi: 10.1128/JCM.41.2.623-626.2003

CrossRef Full Text | Google Scholar

25. Wanyiri JW, Kanyi H, Maina S, Wang DE, Steen A, Ngugi P, et al. Cryptosporidiosis in HIV/AIDS patients in Kenya: clinical features, epidemiology, molecular characterization and antibody responses. Am J Trop Med Hyg T. (2014) 91:319–28. doi: 10.4269/ajtmh.13-0254

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Sonia A. Cryptosporidiosis - From epidemiology to treatment, In: Zajac V, editor. Microbes, Viruses and Parasites in AIDS Process. IntechOpen (2011). Available online at: http://www.intechopen.com/books/microbes-viruses-and-parasites-in-aids-process/cryptosporidiosis-from-epidemiology-to-treatment (accessed January 10, 2017).

Google Scholar

27. Mbeza Rural Development Council, Namwala district, Zambia (2015).

Google Scholar

28. Makinodan T, Kay MM. Age influence on the immune system. Adv Immunol. (1980) 29:287–330. doi: 10.1016/S0065-2776(08)60047-4

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Preiser G, Preiser L, Madeo L. An outbreak of cryptosporidiosis among veterinary science students who work with calves. J Am Coll Health. (2003) 51:213–5. doi: 10.1080/07448480309596353

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Ramirez NE, Ward LA, Sreevatsan S. A review of the biology and epidemiology of cryptosporidiosis in humans and animals. Microbes Infect. (2004) 6:773–85. doi: 10.1016/j.micinf.2004.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Siwila J, Phiri IG, Enemark HL, Nchito M, Olsen A. Seasonal prevalence and incidence of Cryptosporidium spp. and Giardia duodenalis and associated diarrhoea in children attending pre-school in Kafue. Zambia Trans Roy Soc Trop Med Hyg. (2011) 105:102–8. doi: 10.1016/j.trstmh.2010.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Xiao L, Fayer R, Ryan U, Upton SJ. Cryptosporidium taxonomy: recent advances and and implications for public health. Clin Microbiol Rev. (2004) 17:72–97. doi: 10.1128/CMR.17.1.72-97.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Cama VA, Bern C, Roberts J, Cabera L, Sterling CR, Ortega Y, et al. Cryptosporidium species and subtypes and clinical manifestations in children, Peru. Emerg Infect Dis. (2008) 14:1567–74. doi: 10.3201/eid1410.071273

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Kelly P, Baboo KS, Ndubani P, Nchito M, Okeowo NP, Luo NP, et al. Cryptosporidiosis in adults in Lusaka, Zambia, and its relationship to oocyst contamination of drinking water. J Infect Dis. (1997) 176:1120–3. doi: 10.1086/516528

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Cryptosporidium, HIV patients, prevalence, risk factors, Zambia

Citation: Sinyangwe NN, Siwila J, Muma JB, Chola M and Michelo C (2020) Factors Associated With Cryptosporidium Infection Among Adult HIV Positive Population in Contact With Livestock in Namwala District, Zambia. Front. Public Health 8:74. doi: 10.3389/fpubh.2020.00074

Received: 18 March 2019; Accepted: 25 February 2020;
Published: 13 March 2020.

Edited by:

Mirella Salvatore, Cornell University, United States

Reviewed by:

Zisis Kozlakidis, International Agency for Research on Cancer (IARC), France
Thiago DeSouza-Vieira, National Institute of Allergy and Infectious Diseases (NIAID), United States

Copyright © 2020 Sinyangwe, Siwila, Muma, Chola and Michelo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Joyce Siwila, siwilaj@yahoo.co.uk

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.