Open Access

Prevalence of and risk factors associated with Cryptosporidium infection in an underdeveloped rural community of southwest China

  • Ya Yang1, 2, 3,
  • Yi-Biao Zhou1, 2, 3Email author,
  • Peng-Lei Xiao1, 2, 3,
  • Yan Shi1, 2, 3,
  • Yue Chen4,
  • Song Liang5, 6,
  • Wu-Li Yihuo7,
  • Xiu-Xia Song1, 2, 3 and
  • Qing-Wu Jiang1, 2, 3
Infectious Diseases of Poverty20176:2

https://doi.org/10.1186/s40249-016-0223-9

Received: 11 January 2016

Accepted: 15 December 2016

Published: 9 January 2017

Abstract

Background

Cryptosporidium spp. is an important intestinal protozoan causing diarrhea in humans, livestock, and wild animals. Cryptosporidium infection remains a major public health issue, but its epidemiology in humans is still unclear, particularly in rural China. This study was designed to determine the prevalence of and risk factors associated with Cryptosporidium infection in a rural southwestern Chinese community.

Methods

A community-based cross-sectional survey was conducted among 687 residents of a small town in a Yi autonomous prefecture of southwest China in 2014. Blood samples were examined using a broad set of quality-controlled diagnostic methods for hepatitis B virus (HBV) and human immunodeficiency virus (HIV). Stool specimens were processed using the modified acid-fast staining method, and microscopically examined for Cryptosporidium infection. Univariable and multivariable analyses were performed to determine the risk factors associated with Cryptosporidium infection.

Results

The majority of the participants were Yi people with poor living conditions and unsatisfactory hygiene habits, and the study area was of very low socioeconomic status. Of the 615 individuals included in the analysis, 14 (2.3%) were HIV positive, 51 (8.3%) were infected with HBV, and 74 (12.0%) had Cryptosporidium infection. The prevalences of HIV/HBV, HIV/Cryptosporidium, and HBV/Cryptosporidium co-infections were 0.3%, 0.3%, and 1.8%, respectively. The prevalence of HBV infection was higher in individuals with Cryptosporidium infection (χ 2 = 5.00, P = 0.03). Owning livestock or poultry was an important risk factor for Cryptosporidium infection (aOR = 2.27, 95% CI: 1.01–5.08, P < 0.05). Cryptosporidium infection was significantly associated with HBV infection (aOR = 3.42, 95% CI: 1.47–7.92, P < 0.01), but not with HIV infection (aOR = 0.57, 95% CI: 0.07–4.39, P = 0.59).

Conclusions

The prevalence of Cryptosporidium infection was high in the rural area of southwestern China that was investigated, and there was a significant association between HBV infection and Cryptosporidium infection. Further investigations are needed to determine the significance of Cryptosporidium infection in patients infected with HBV.

Keywords

Cryptosporidium Hepatitis B virus Human immunodeficiency virus Prevalence Risk factors Rural areas China

Multilingual abstracts

Please see Additional file 1 for translations of the abstract into the five official working languages of the United Nations.

Background

Cryptosporidium is an important protozoan parasite, which causes diarrheal disease in humans worldwide [1]. The Global Enteric Multicenter Study assessed the causes, burden, clinical syndromes, and adverse outcomes of moderate-to-severe diarrhea involving more than 20 000 children in Sub-Saharan Africa and South Asia, and found that Cryptosporidium was second only to rotavirus as a cause of moderate-to-severe diarrhea in children younger than 2 years [2]. Although Cryptosporidium was first discovered in 1907, it was not until 1976 that this parasite was identified as a cause of human infection [3]. In 2004, cryptosporidiosis was added to the World Health Organization’s ‘Neglected Diseases Initiative’ , which includes diseases affecting people mainly in low-resource settings [4].

In immunocompetent individuals, Cryptosporidium infection may be asymptomatic or cause self-limiting diarrhea. In immunocompromised patients such as those with human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS), however, Cryptosporidium may cause severe, chronic, and possibly life-threatening diarrhea, and profound malnutrition or wasting. Despite the relative consensus of opinion regarding the severity of Cryptosporidium infection in patients with HIV/AIDS, there does not seem to be a shared understanding of the risks for other groups of immunosuppressed individuals, including those with hepatitis B virus (HBV) infection. There is mounting evidence indicating that the immune system is compromised in patients with HBV [5]. However, data on the epidemiology of Cryptosporidium infection in individuals infected with HBV is scarce.

Numerous studies have demonstrated the critical importance of cryptosporidiosis, but Cryptosporidium failed to convince the pharmaceutical industry that a market for new therapeutics exists. Consequently, there is no specific therapeutic agent available. In the absence of effective specific treatment and a lack of access to health care, Cryptosporidium continues to be a major cause of opportunistic infections in developing countries.

In China, the first human cases of cryptosporidiosis were reported in 1987 in Nanjing, Jiangsu Province [6]. Since then, increasing attention has been paid to Cryptosporidium, and a number of epidemiological investigations have confirmed the existence of human cryptosporidiosis in at least 14 out of the 32 provinces in China [7]. However, previous studies have focused on children or patients with diarrhea or HIV/AIDS [7, 8], and few studies were designed to investigate the overall prevalence and epidemiology of cryptosporidiosis of the general population in rural areas, and none have been conducted among people other than the Han nationality [7, 9].

We conducted a cross-sectional study in an underdeveloped region inhabited by the Yi people, an ethnic minority group in P.R. China, with a high prevalence of HIV/AIDS and HBV [10, 11]. Local farmers in this community are engaged in mixed agricultural practices and use animal manure and human excreta as important organic fertilizers. People have close and frequent contact with domestic animals, and there is a lack of access to sanitation facilities. The primary aim of this research was to determine the prevalence of Cryptosporidium infection, and its association with HIV and HBV and other risk factors in the region.

Methods

Study area and participants

This community-based cross-sectional study was carried out in M town, P County of a Yi autonomous prefecture, southwest China. This town covers about 50 km2, with a population of approximately 4 000, and has a complex topography with mountains and valleys at an elevation of 1 800 to 2 500 m [12]. The main rainy season is from May to October, although occasional rain occurs at all times of the year. According to meteorological statistics, the average temperature for the region is about 16.8 °C and the average rainfall is about 1 170 mm per year. Winters feature mild days and cool nights, whilst summers are very warm and humid.

The residents are engaged in husbandry, and produce food crops such as corn, potato, oats, and vegetables. Domestic animals outnumber humans in the area. Agriculture and animal husbandry employ more than 90% of the population. It was not until 2006 that lavatories, latrines, or any other forms of sanitation facilities became available. Until then, both human and domestic animal feces were left undisposed [12].

Participants who had lived in the area for over 6 months were invited to participate in the study. Participants who had severe organic or mental diseases and pregnant women were excluded. A total of 687 individuals were randomly selected from four villages (named A, B, C, and D, as shown in Fig. 1).
Fig. 1

Administrative map of study area (P County of a Yi autonomous prefecture, southwest China). M town consists of four villages named A, B, C, and D

Study procedures

The study was carried out from 23rd October until 3rd November 2014. After a brief introduction of the study at the site, each of the participants from the study villages was registered and given a clean plastic container for collecting a single stool sample of at least 30 g in the morning at home. Specific instructions were given for proper collection and avoidance of possible contamination. A structured questionnaire was administered to each participant by fieldworkers from the local Center for Disease Control and Prevention (CDC) to gather information about sociodemographic characteristics (including name, age, gender, ethnicity, marital status, education, occupation, annual family income and keeping livestock or poultry), personal hygiene habits (including drinkng unboiled water, washing hands before meals and after defecation and washing before eating raw fruits and raw vegetables) and access to safe water and sanitation facilities.

All the participants had a finger prick to obtain about 1 ml of blood and were screened for HBV surface antigen and anti-HIV antibodies in the field using the diagnostic test kit for HBV (colloidal gold) (Livzon Pharmaceutical Group Inc., Zhuhai, P. R. China) and the diagnostic test kit for HIV (colloidal gold) (Xiamen Interactive Technology Co., Ltd., Xiamen, P. R. China). Positive individuals were asked to provide 5 ml blood specimen for conformation. These blood samples were stored in the CDC laboratory refrigerator, which was kept at a constant temperature of −20 °C. Conformation tests were conducted by using the diagnostic kits for quantification of HBV DNA and HIV-1 RNA (polymerase chain reaction fluorescence probe method) (DAAN Gene Group Inc., Zhongshan, P. R. China) at the Center for Tropical Disease Research, Fudan University.

Stool samples were collected once for each participant and sent to the laboratory of the local CDC as soon as possible. All the specimens were processed on the day of collection, using modified acid-fast staining. Thin smears were prepared from freshly collected stool samples, and were air dried before fixation (5 s on a candle flame). The smears were stained with carbol fuchsin for 10 min and thereafter washed with tap water. The slides were decolorized with 3% acid alcohol for 2 min and were counterstained with methylene blue for another 30 s and dried at room temperature. Finally, the stained smears were examined using immersion oil to detect oocysts of Cryptosporidium. In this method, Cryptosporidium oocysts appear as pink to red, spherical to ovoid bodies on a blue background. A stool was labeled as positive if the size of the oocysts ranged between 4 μm and 6 μm.

Quality control

Fieldworkers were specifically trained under the guidance of a unified protocol prior to the field investigation. Two slides were prepared for each sample, and were examined by two separate laboratory technicians from the Center for Tropical Disease Research, Fudan University. The laboratory staff was not informed about the health status of the study participants to minimize observer bias. A third senior technician was summoned if there was disagreement concerning the results. All smears were stored in boxes at room temperature, and 10% of the examined slides were randomly selected and re-examined for quality control. All data were checked for accuracy.

Data analysis

Data were double entered and crosschecked with EpiData software (version 3.1; The EpiData Association, Odense, Denmark). Descriptive summary measures of frequency and central tendency of participants’ characteristics were computed as appropriate. Pearson’s chi-square test was employed in the univariable analysis to examine the associations between participants’ characteristics and infection with HBV, HIV, and Cryptosporidium by computing crude odds ratios (cORs) with 95% confidence intervals (CIs). Multivariable logistic regression was subsequently carried out through stepwise elimination to adjust for confounders, and adjusted ORs (aORs) with 95%CIs were calculated. P ≤ 0.05 were considered statistically significant. Statistical analyses were done with the SPSS statistical package (version 20.0; IBM SPSS Institute, Inc., USA).

Ethics statement

The study was approved by the Ethics Review Committee of the Ethical Institute of the School of Public Health, Fudan University. Community leaders and local health authorities were informed during sensitization meetings about the purpose, procedures, potential risk, discomforts, and benefits of the study prior to the survey and sample collection.

All participants provided consent and were informed of their right to refuse to participate or withdraw at any point during the study. Written informed consent was obtained from the parents/guardians of children prior to study procedures after they had been clearly informed about the study. Participants infected with Cryptosporidium or with other medical conditions received appropriate treatment/referral according to the local treatment policies and national guidelines. Identity and information collected were kept confidential.

Results

A total of 687 individuals were investigated in the study. Of them, 615 participants provided both blood and stool specimens, and were included in the analysis. There were no significant differences between participants included and those excluded in terms of gender, age, ethnicity, education, and annual family income.

The sociodemographic characteristics of the participants are summarized in Table 1. Participants were predominantly Yi people (99.8%), of whom 251 (40.8%) were male and more than half were married (62.3%). The majority of the participants were illiterate (62.1%) and farmers (80.0%). The median age of the study participants was 34 years with an interquartile range from 14 to 47 years. The majority of the residents (97.7%, 589/603) drank unboiled water, two-thirds (68.2%, 392/575) never or occasionally washed fruits or vegetables, almost half hardly or occasionally washed their hands before meals or after defecation, and 40.4% (239/591) had no access to a household lavatory.
Table 1

Characteristics of the study population

Variables

No. of participants

%

Total

615

100.0

Village

 A

172

28.0

 B

158

25.7

 C

129

21.0

 D

156

25.4

Gender

 Male

251

40.8

 Female

364

59.2

Age (years)

34 (14, 47)a

 0–10

110

17.9

 11–20

75

12.2

 21–30

87

14.1

 31–40

118

19.2

 41–50

110

17.9

 51–60

64

10.4

 >60

51

8.3

Ethnicity

 Yi

614

99.8

 Han

1

0.2

Marital status

  

 Not married

194

31.5

 Married

383

62.3

 Widowed

38

6.2

Body mass index (BMI, kg/m2)

20.4 (19.1,22.2)a

 >18

526

85.5

 ≤18

89

14.5

Education

  

 Illiterate

382

62.1

 Primary school

206

33.5

 Middle school and above

27

4.4

Occupation

 Student

113

18.4

 Farmer

492

80.0

 Other

10

1.6

Annual family income (yuan)

 <3 000

117

19.0

 3 000–5 000

188

30.6

 5 000–10 000

116

18.9

 >10 000

194

31.5

Keeping livestock or poultry (e.g., cattle, sheep, chicken)

 No

155

25.2

 Yes

460

74.8

Drinking unboiled water

 No

14

2.3

 Yes

589

97.7

Washing hands before meals

 Often or always

352

58.2

 Never or occasionally

253

41.8

Washing hands after defecation

 Often or always

329

54.3

 Never or occasionally

277

45.7

Washing fruits and raw vegetables before eating them

 Often or always

183

31.8

 Never or occasionally

392

68.2

Having a household lavatory

 No

239

40.4

 Yes

352

59.6

Living under the same roof with livestock

 No

541

93.9

 Yes

35

6.1

aValues are median (interquartile range)

The prevalences of HIV, HBV, and Cryptosporidium were 2.30%, 8.30%, and 12.0%, respectively (see Table 2). The prevalences of HIV/HBV, HIV/Cryptosporidium, and HBV/Cryptosporidium co-infections were 0.3%, 0.3%, and 1.8%, respectively. Prevalence of Cryptosporidium was highest among individuals aged 41–50 years, followed by elderly adults aged ≥ 60 years and children aged 0–10 years (see Table 4). No study participants had a multiple infection involving HBV, HIV, and Cryptosporidium. Results in Table 3 show that the prevalence of HBV infection was higher in individuals with Cryptosporidium infection (χ 2 = 5.00, P = 0.03).
Table 2

Prevalence of infections and co-infections of HBV, HIV, and Cryptosporidium

 

No. of infected participants

Infection rate

HIV

14

2.3

HBV

51

8.3

Cryptosporidium

74

12.0

Co-infection

 HIV and HBV

2

0.3

 HIV and Cryptosporidium

2

0.3

 HBV and Cryptosporidium

11

1.8

Table 3

Crude association between HBV infection and Cryptosporidium infection

 

HBV infection [n (%)a]

 

χ 2

P

Cryptosporidium infection

Yes

No

Total

  

Yes

11 (15.1)

62 (84.9)

73

5.00

0.03

No

40 (7.4)

502 (92.6)

542

  

aPercentage in group

The results of the univariable and multivariable analyses for risk factors associated with Cryptosporidium infection are summarized in Table 4. The significant risk factors for acquiring Cryptosporidium infection were village of residence, keeping livestock or poultry, and being infected with HBV. After adjusting for covariates, an OR of 2.27 (95% CI: 1.01–5.08, P < 0.05) was associated with keeping livestock or poultry, and 3.42 (95% CI: 1.47–7.92, P < 0.01) with HBV infection. HIV infection was not found to be significantly associated with Cryptosporidium infection (aOR = 0.57, 95% CI: 0.07–4.39, P = 0.59). No significant associations were observed between Cryptosporidium infection any hygiene habits including drinking unboiled water, eating raw food, washing hands before meals or after defecation, and owning a household lavatory.
Table 4

Univariable and multivariable analyses for risk factors associated with Cryptosporidium infection

Variables

No. of participants

Infection rate (%)

cOR (95% CI)

P

aOR (95% CI)

P

Village

 A

172

16.3

1.00

0.02

1.00

0.02

 B

158

14.6

0.88 (0.48–1.60)

0.67

0.81 (0.39–1.70)

0.58

 C

129

10.1

0.58 (0.29–1.16)

0.12

0.47 (0.21–1.08)

0.08

 D

156

5.8

0.32 (0.14–0.69)

<0.01

0.26 (0.10–0.64)

<0.01

Gender

 Male

251

13.5

1.00

   

 Female

364

10.7

0.77 (0.47–1.25)

0.29

  

Age (years)

 0–10

110

12.7

1.00

0.24

  

 11–20

75

6.7

0.49 (0.17–1.42)

0.19

  

 21–30

87

10.3

0.79 (0.33–1.93)

0.61

  

 31–40

118

8.5

0.64 (0.27–1.50)

0.30

  

 41–50

110

17.3

1.43 (0.68–3.02)

0.35

  

 51–60

64

10.9

0.84 (0.32–2.21)

0.73

  

 >60

51

17.6

1.47 (0.59–3.66)

0.41

  

Marital status

 Not married

194

11.3

1.00

0.74

  

 Married

383

11.7

1.04 (0.61–1.79)

0.89

  

 Widowed

38

15.8

1.47 (0.55–3.90)

0.44

  

Body mass index (BMI, kg/m2)

 >18

526

12.2

1.00

   

 ≤18

89

10.1

0.81 (0.39–1.70)

0.58

  

Education level

 No school

382

12.0

1.00

0.85

  

 Primary school

206

11.2

0.92 (0.54–1.56)

0.75

  

 Middle school and above

27

14.8

1.27 (0.42–3.84)

0.67

  

Occupation

 Student

113

9.7

1.00

0.72

  

 Farmer

492

12.4

0.76 (0.39–1.50)

0.43

  

 Other

10

10.0

0.79 (0.10–6.31)

0.82

  

Annual family income(yuan)

 <3 000

117

10.3

1.00

0.63

  

 3 000–5 000

188

12.8

1.28 (0.61–2.67)

0.51

  

 5 000–10 000

116

14.7

1.50 (0.68–3.31)

0.31

  

 >10 000

194

10.3

1.01 (0.47–2.14)

1.00

  

Keeping livestock or poultry (e.g., cattle, sheep, chicken)

 No

155

7.1

1.00

 

1.00

 

 Yes

460

13.5

2.04 (1.05–3.98)

0.04

2.27 (1.01–5.08)

<0.05

Drinking unboiled water

 No

14

14.3

1.00

   

 Yes

589

12.1

0.82 (0.18–3.75)

0.80

  

Washing hands before meals

 Often or always

352

12.2

1.00

   

 Never or occasionally

253

11.9

0.97 (0.59–1.59)

0.89

  

Washing hands before defecation

 Often or always

329

12.5

1.00

   

 Never or occasionally

277

11.6

0.92 (0.56–1.50)

0.73

  

Washing fruits and raw vegetables before eating them

 Often or always

183

13.3

1.00

   

 Never or occasionally

392

10.4

0.76 (0.43–1.32)

0.33

  

Having a household lavatory

 No

239

12.6

1.00

   

 Yes

352

11.9

0.94 (0.57–1.56)

0.82

  

Living under the same roof with livestock

 No

541

12.6

1.00

   

 Yes

35

8.6

0.65 (0.19–2.19)

0.50

  

HIV infection

 No

601

12.0

1.000

   

 Yes

14

7.1

0.57 (0.07–4.39)

0.59

  

HBV infection

 No

564

11.0

1.00

 

1.00

 

 Yes

51

21.6

2.23 (1.09–4.56)

0.03

3.42 (1.47–7.92)

<0.01

Discussion

The study area had a very high prevalence of Cryptosporidium infection (12.0%), according to modified acid-fast staining. The prevalence of Cryptosporidium infection was much higher than the previously estimated range of 0.79–10.40% among either individuals without diarrhea or patients with diarrhea in other parts of China [7, 9, 13]. In particular, our data showed that the prevalence was highest among participants aged 41–50 years, followed by children aged 0–10 years and elderly adults aged ≥ 60 years, which was similar to results of other studies [14, 15]. The high burden of Cryptosporidium infection may be attributed to poor personal hygiene and lack of sanitation facilities. The participants were predominantly Yi people with similar occupations, cultural traditions, and living conditions. For instance, only 2.3% of the participants would boil water before drinking it and nearly half of them had no access to a household lavatory. Not using sanitation facilities and water treatment and poor hygiene habits of some of the participants might increase the general environmental contamination and thereby increases the risk of Cryptosporidium infection for all other persons living in the same setting [16]. Therefore, the protective effects of sanitation and hygiene habits could have been underestimated. Moreover, owing to its low latitude and high elevation, the town studied has a mild climate and belongs to the humid subtropical zone. A recent meta-analysis examining the effects of seasonality showed that increases in both temperature and rainfall were associated with an increased risk of cryptosporidiosis [17]. These local climatic conditions define a typical habitat area for Cryptosporidium species. Alternatively, these differences may reflect the use of different diagnostic techniques. In addition, we found that participants who raised livestock or poultry were more likely to be infected with Cryptosporidium, which was consistent with previous studies conducted elsewhere [1821].

The prevalence of HBV infection observed in our study corroborated previous nationwide large-scale epidemiological studies [22]. The majority of individuals found to be HBV-positive had not received appropriate treatment for HBV infection given they were diagnosed for the first time. Therefore, screening and diagnosis of HBV are of great importance for reducing the risk of HBV transmission and subsequent HBV-related diseases. Intriguingly, we found that HBV infection and Cryptosporidium infection were significantly associated with each other. For chronic hepatitis B, long-lasting virus persistence is related to a lack of memory T-cell maturation and severely impaired T-cell function, followed by a suppressed production of primary cytokines [2325], which may increase the susceptibility to Cryptosporidium infection. A recent study demonstrated that the infection rate of Cryptosporidium spp. was higher in chronic hepatitis B patients than in healthy controls [26]. On the other hand, Cryptosporidium infection leads to an imbalance between Th1 and Th2 cytokines, along with inflammatory damage to the host’s small intestine [3, 27], which may facilitate the occurrence of HBV infection. Further research is required to explore the host immune responses to co-infection with HBV and Cryptosporidium. Such investigations would help interpret this finding and explore the clinical significance of cryptosporidiosis in patients infected with HBV.

The prevalence of HIV infection was 2.3%, which was much higher than the provincial and national levels, 0.170% and 0.058%, respectively [28, 29]. The vast majority of the participants were Yi people, who live in one of the poorest areas in China. Previous studies have shown that poverty is associated with HIV infection [30, 31]. Additionally, the local custom requests a man to marry his brother’s widow in order to maintain the family lineage, even if his brother have died of HIV-related illnesses or his sister-in-law has been diagnosed as HIV infection. Casual sex without condom also facilitates the spreading of HIV [32]. The prevalence of Cryptosporidium infection was 7.1% (1/14) in patients infected with HIV, which was in agreement with observations elsewhere [8, 33]. There was no significant association found between HIV infection and Cryptosporidium infection in our study. An earlier survey found a higher prevalence of Cryptosporidium among AIDS patients who refused antiretroviral therapy (ART) (21.21%; 7/33) than those who accepted regular treatment (4.25%; 9/212) [8]. The number of people with HIV infection was small in this study. Another reason may be that these HIV-positive individuals were not immunocompromised yet because the majority of the HIV-infected individuals were diagnosed for the first time and were at the early stage of the disease. As a result, they received no ART or were rarely treated. Along with the development of HIV infection and weakening of immunity, cryptosporidiosis in patients with HIV infection could be a major public health issue given the lack of an effective specific therapy or vaccine. Therefore, local governments and CDCs need to make more efforts in expanding access to and coverage of ART for patients with HIV infection.

There are some limitations to this study. Firstly, only one stool sample was collected from each participant. Given the intermittent shedding pattern of Cryptosporidium oocysts, the examination based on a single sample may lead to an underestimated prevalence of Cryptosporidium infection. Secondly, males were underrepresented because many young males in rural areas drift to the cities for better work opportunities. Additionally, our study used modified acid-fast staining to detect the existence of Cryptosporidium oocysts. However, misclassification may occur because the sensitivity and specificity of this method are not high [1]. To minimize the risk of misclassification, each smear was read by two separate technicians without knowing the study participant’s identity. One-tenth of the examined slides were randomly selected and re-examined for quality control. Moreover, it should be noted that the modified acid-fast staining employed in our study does not discriminate between Cryptosporidium species and subtypes, without which it is impossible to determine the infectious source of Cryptosporidium in this setting. Genotyping and subtyping tools have been used increasingly in the characterization of the transmission of Cryptosporidium [3436]. Further research could include molecular analysis in order to determine the roles of anthroponotic and zoonotic transmission of Cryptosporidium in rural China. In view of these limitations, the findings of this study should be interpreted with caution when being generalized to the larger population and compared with results from other studies.

Conclusions

In conclusion, there was a high prevalence of Cryptosporidium infection among residents in the community under investigation. An association was found between HBV infection and Cryptosporidium infection. Since no effective specific therapeutic agent for cryptosporidiosis is available at present, fenced husbandry, health education, and environmental sanitation programs might help reduce the occurrence of Cryptosporidium infections, and so could hepatitis B vaccination as well as timely ART for patients with HIV. Further research is required to determine the clinical significance of this parasite in individuals infected with HBV, and the interaction between HBV and Cryptosporidium.

Abbreviations

AIDS: 

Acquired immune deficiency syndrome

aOR

Adjusted odds ratio

ART: 

Antiretroviral therapy

CDC: 

Center for Disease Control and Prevention

CI

Confidence interval

cOR

Crude odds ratio

HBV: 

Hepatitis B virus

HIV: 

Human immunodeficiency virus

OR

Odds ratio

Declarations

Acknowledgements

We would like to thank the technical staff of the local CDC for their invaluable work, and the local government officials for their support in data and sample collection.

Funding

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Availability of data and materials

The data of this paper are part of a large data set and are available in the Center for Tropical Disease Research, Fudan University. Therefore, access to these data should be gained by contacting the corresponding author directly.

Authors’ contributions

YY, Y-BZ, X-XS, and Q-WJ conceived and designed the experiments. YY, Y-BZ, P-LX, YS, W-LY, and X-XS performed the fieldwork. YY, Y-BZ, YC, SL, X-XS, and Q-WJ contributed to the data analysis and wrote the paper. All authors read and approved the final paper.

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

The study was approved by the Ethics Review Committee of the Ethical Institute of the School of Public Health, Fudan University. All participants provided consent and were informed of their right to refuse to participate or withdraw at any point during the study.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
School of Public Health, Fudan University
(2)
Key Laboratory of Public Health Safety, Fudan University, Ministry of Education
(3)
Center for Tropical Disease Research, Fudan University
(4)
School of Epidemiology, Public Health and Preventive Medicine, Faculty of Medicine, University of Ottawa
(5)
Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida
(6)
Emerging Pathogens Institute, University of Florida
(7)
Puge Center for Disease Prevention and Control

References

  1. Checkley W, White AC, Jaganath D, Arrowood MJ, Chalmers RM, Chen X, et al. A review of the global burden, novel diagnostics, therapeutics, and vaccine targets for cryptosporidium. Lancet Infect Dis. 2015;15:85–94.View ArticlePubMedGoogle Scholar
  2. 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;382:209–22.View ArticlePubMedGoogle Scholar
  3. OʼConnor RM, Shaffie R, Kang G, Ward HD. Cryptosporidiosis in patients with HIV/AIDS. AIDS. 2011;25:549–60.View ArticlePubMedGoogle Scholar
  4. Savioli L, Smith H, Thompson A. Giardia and cryptosporidium join the ‘neglected diseases initiative’. Trends Parasitol. 2006;22:203–8.View ArticlePubMedGoogle Scholar
  5. Ferrari C. HBV and the immune response. Liver Int. 2015;35 Suppl 1:121–8.View ArticlePubMedGoogle Scholar
  6. Han F, Tan W, Zhou X. Two case reports of cryptosporidiosis in Nanjing. Jiangsu Med J. 1987;12:692.Google Scholar
  7. Lv S, Tian L, Liu Q, Qian M, Fu Q, Steinmann P, et al. Water-related parasitic diseases in China. Int J Env Res Pub He. 2013;10:1977–2016.View ArticleGoogle Scholar
  8. Yue XH, Wang H, Gou JZ, Chen XC, Yang GL, Yang QT, et al. Detection of Cryptosporidium infection in AIDS patients in Guangdong and Yunnan. Chin J Exp Clin Virol. 2008;22:339–41.Google Scholar
  9. Fan B, He XY, Huang ZM, Wang WL, Bo WF, Su Q. Epidemiological investigation of cryptosporidiosis in Yuxi district. Chin J Pest Contr. 1992;4:228–30.Google Scholar
  10. UNAIDS. China AIDS Response Progress Report. Available at: http://unaids.org.cn/uploadFiles/2015060516205863.pdf. Accessed 15 Oct 2015.
  11. Li K, Wu G, Xu H, Zou K. Prevalence of HBV in a mountainous area. Modern Preventive Med. 2007;34:2557–8.Google Scholar
  12. Yihuo WL, Zhou YB, Liu GM, Wu ZS, Wang SA, Xu L, et al. Effect of four-year comprehensive schistosomiasis control in Puge County, Sichuan Province. Chin J Schisto Control. 2009;21:276–9.Google Scholar
  13. Zhu M, Zhu J, Wang S, Song M. A survey of Cryptosporidium infection among humans being in Shiyan, China. J Path Biol. 2009;04:685–6.Google Scholar
  14. Painter JE, Hlavsa MC, Collier SA, Xiao L, Yoder JS. Cryptosporidiosis surveillance-United States, 2011–2012. MMWR Surveillance Summaries. 2015;64:1–14.Google Scholar
  15. Laupland KB, Church DL. Population-based laboratory surveillance for Giardia sp. and Cryptosporidium sp. infections in a large Canadian health region. BMC Infect Dis. 2005;5:72.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Speich B, Croll D, Furst T, Utzinger J, Keiser J. Effect of sanitation and water treatment on intestinal protozoa infection: a systematic review and meta-analysis. Lancet Infect Dis. 2016;16:87–99.View ArticlePubMedGoogle Scholar
  17. Jagai JS, Castronovo DA, Monchak J, Naumova EN. Seasonality of cryptosporidiosis: A meta-analysis approach. Environ Res. 2009;109:465–78.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Robertson B, Sinclair MI, Forbes AB, Veitch M, Kirk M, Cunliffe D, et al. Case-control studies of sporadic cryptosporidiosis in Melbourne and Adelaide, Australia. Epidemiol Infect. 2002;128:419–31.View ArticlePubMedPubMed CentralGoogle Scholar
  19. Smith KE, Stenzel SA, Bender JB, Wagstrom E, Soderlund D, Leano FT, et al. Outbreaks of enteric infections caused by multiple pathogens associated with calves at a farm day camp. Pediatr Infect Dis J. 2004;23:1098–104.View ArticlePubMedGoogle Scholar
  20. Lange H, Johansen OH, Vold L, Robertson LJ, Anthonisen IL, Nygard K. Second outbreak of infection with a rare Cryptosporidium parvum genotype in schoolchildren associated with contact with lambs/goat kids at a holiday farm in Norway. Epidemiol Infect. 2014;142:2105–13.View ArticlePubMedGoogle Scholar
  21. Hunter PR, Hughes S, Woodhouse S, Syed Q, Verlander NQ, Chalmers RM, et al. Sporadic cryptosporidiosis case-control study with genotyping. Emerg Infect Dis. 2004;10:1241–9.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Wang F, Fan J, Zhang Z, Gao B, Wang H. The global burden of liver disease: The major impact of China. Hepatology. 2014;60:2099–108.View ArticlePubMedPubMed CentralGoogle Scholar
  23. Balmasova IP. Immunopathogenesis of chronic hepatitis B. World J Gastroenterol. 2014;20:14156–71.View ArticlePubMedPubMed CentralGoogle Scholar
  24. Wherry EJ, Ahmed R. Memory CD8 T-cell differentiation during viral infection. J Virol. 2004;78:5535–45.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Guan SH, Lu M, Grunewald P, Roggendorf M, Gerken G, Schlaak JF. Interferon-alpha response in chronic hepatitis B-transfected HepG2.2.15 cells is partially restored by lamivudine treatment. World J Gastroenterol. 2007;13:228–35.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Li F, Zhang X, Wu Q, Chen W. Prevalence of Cryptosporidium infection in patients with chronic hepatitis B. New Med. 2007;38:81–3.Google Scholar
  27. McDonald SA, O’Grady JE, Bajaj-Elliott M, Notley CA, Alexander J, Brombacher F, et al. Protection against the early acute phase of Cryptosporidium parvum infection conferred by interleukin-4-induced expression of T helper 1 cytokines. J Infect Dis. 2004;190:1019–25.View ArticlePubMedGoogle Scholar
  28. Liang L, Liu L, Fei X, Luo Y, Hu Y. Detection on HIV in Sichuan Province, 2008–1011. J Prev Med Inf. 2013;29:453–6.Google Scholar
  29. Dong C, Huang ZJ, Martin MC, Huang J, Liu H, Deng B, et al. The impact of social factors on human immunodeficiency virus and hepatitis C virus co-infection in a minority region of Si-chuan, the People’s Republic of China: a population-based survey and testing study. PLoS One. 2014;9:e101241.View ArticlePubMedPubMed CentralGoogle Scholar
  30. Zhou Y, Wang Q, Liang S, Gong Y, Yang M, Chen Y, et al. Geographical variations in risk factors associated with HIV infection among drug users in a prefecture in Southwest China. Infect Dis Poverty. 2015;4:38. doi:https://doi.org/10.1186/s40249-015-0073-x.
  31. Masanjala W. The poverty-HIV/AIDS nexus in Africa: A livelihood approach. Soc Sci Med. 2007;64:1032–41.View ArticlePubMedGoogle Scholar
  32. Yang Y, Luan RS, Liu P, Wu CL, Zhou Y, Chen W. Casual sex and concurrent sexual partnerships among young people from an Yi community with a high prevalence of HIV in China. Asian J Androl. 2012;14:758–65.View ArticlePubMedPubMed CentralGoogle Scholar
  33. Tian LG, Chen JX, Wang TP, Cheng GJ, Steinmann P, Wang FF, et al. Co-infection of HIV and intestinal parasites in rural area of China. Parasit Vectors. 2012;5:36.View ArticlePubMedPubMed CentralGoogle Scholar
  34. Wang L, Zhang H, Zhao X, Zhang L, Zhang G, Guo M, et al. Zoonotic cryptosporidium species and enterocytozoon bieneusi Genotypes in HIV-positive patients on antiretroviral therapy. J Clin Microbiol. 2013;51:557–63.View ArticlePubMedPubMed CentralGoogle Scholar
  35. Feng Y, Wang L, Duan L, Gomez-Puerta LA, Zhang L, Zhao X, et al. Extended outbreak of cryptosporidiosis in a Pediatric Hospital, China. Emerg Infect Dis. 2012;18:312–4.View ArticlePubMedPubMed CentralGoogle Scholar
  36. Wang R, Zhang X, Zhu H, Zhang L, Feng Y, Jian F, et al. Genetic characterizations of Cryptosporidium spp. and Giardia duodenalis in humans in Henan, China. Exp Parasitol. 2011;127:42–5.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2017

Advertisement