Literature DB >> 32320399

Intestinal protozoan infections among children 0-168 months with diarrhea in Mozambique: June 2014 - January 2018.

Adilson Fernando Loforte Bauhofer1,2, Idalécia Cossa-Moiane3,4, Selma Marques1,5, Esperança L Guimarães2,6, Benilde Munlela1,5, Elda Anapakala3, Jorfélia J Chilaúle3, Marta Cassocera2,6, Jerónimo S Langa3, Assucênio Chissaque1,2, Júlia Sambo2,6, Lena Manhique-Coutinho3, Diocreciano Matias Bero3, Timothy A Kellogg7,8, Nilsa de Deus6.   

Abstract

BACKGROUND: Intestinal parasites such as Cryptosporidium spp., Giardia lamblia and Entamoeba histolytica can cause severe diarrhea, especially among children in developing countries. This study aims to determine the frequency of Cryptosporidium spp., Giardia lamblia and Entamoeba histolytica in children with diarrhea and identify risk factors for infection.
METHODOLOGY: We conducted a cross-sectional study in children aged 0-168 months hospitalized with diarrhea in three regions of Mozambique, from June 2014 to January 2018. Following consent, caretakers were interviewed and a single stool specimen was collected from each child to diagnose Cryptosporidium spp., G. lamblia and E. histolytica using commercial immune-enzymatic assay (TechLab, Inc, Blacksburg, VA, USA). Anthropometric data were collected from the clinical reports. Multivariable logistic regression models were built to identify risk factors for Cryptosporidium spp. and G. lamblia infection.
RESULTS: Twenty-one percent of all specimens (212/1008) presented at least one parasitic infection. Cryptosporidium spp. infection was the most common 12.0% (118/985), followed by G. lamblia 9.7% (95/983) and E. histolytica 2.0% (20/1004). Risk factors for infection by Cryptosporidium spp. were: provenience (children from Nampula province showed the highest risk, OR: 8.176; CI: 1.916-34.894; p-value < 0.01); animal contact (children with animal contact had a protective effect OR: 0.627; CI: 0.398-0.986; p-value < 0.05); underweight (children severely underweight showed a risk of 2.309; CI: 1.310-4.069; p-value < 0.05). Risk factors for infection by G. lamblia were: age (group with highest risk, 60-168 months (OR: 2.322; CI: 1.000-5.393, p-value > 0.05)); and living in a household with five or more members (OR: 2.141; CI: 1.286-3.565, p-value < 0.01).
CONCLUSIONS: Parasitic infection is common among children with diarrhea. Routine testing, standard treatment, and assessment for risk exposure of children with diarrhea should be implemented at health facilities in Mozambique.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32320399      PMCID: PMC7176080          DOI: 10.1371/journal.pntd.0008195

Source DB:  PubMed          Journal:  PLoS Negl Trop Dis        ISSN: 1935-2727


Introduction

Globally, 6.3 million children (0–168 months) died in 2017, most of which were under five years old (5.4 million). Sub-Saharan Africa has the highest under-five mortality rate in the world, having one death in every 13 births [1]. In Mozambique, the under-five mortality is estimated to be between 50 to 70 deaths per 1000 births [1]. Diarrhea accounts globally for approximately 8% (432000) of all deaths in children less than five years old [1]. Infectious diarrhea can be caused by parasites, bacteria, viruses, or fungi [2]. Among intestinal parasites, Cryptosporidium spp. is most common in children with diarrhea, followed by Giardia lamblia and Entamoeba histolytica [2-6]. Having a developing immune system, being undernourished, and animal contact are risk factors for intestinal parasite infection [2,7,8]. Symptoms of intestinal parasites can include lack of appetite, anemia, abdominal pains, cognitive impairment, fever, vomiting, malabsorption, and diarrhea [2,7,8]. In Mozambique, previous studies have found an overall intestinal parasite prevalence ranging from 14.4% to 16.1% in children under five years [9,10]. Among protozoans, G. lamblia and Cryptosporidium spp. were more frequent and E. histolytica/E. dispar less common (18.6%, 17.7% and 10.2% respectively) [5]. Risk factors for parasitic infection include child age, poor nutrition status and HIV infection [4,5,11]. In a Global Enteric Multicenter Study (GEMS), including a site in Mozambique conducted in children less than five years old, Cryptosporidium spp. was considered the second most attributable pathogen to diarrhea, thus being essential to understand factors related to this agent [4]. All previously published studies were conducted in Mozambique’s south region and children younger than five years [4,5,9,10], although the occurrence of intestinal parasites in other regions of Mozambique in school-age children without diarrhea has been reported [12]. In 2014, a sentinel surveillance system was established to track diarrheal illness among children at selected hospitals in Mozambique. This study utilized data to assess enteric protozoan infections among children. The aims of this study are: 1) determine the frequency of Cryptosporidum spp., G. lamblia and E. histolytica in children aged 0–168 months admitted in the health facilities with diarrhea in three regions of Mozambique and 2) identify risk factors for parasitic infection.

Methodology

Study design

A cross-sectional study was conducted from June 2014 to January 2018. Data used in this analysis was obtained from the National Surveillance of Diarrhea (ViNaDia), an ongoing cross-sectional study of diarrhea illness among children in Mozambique. ViNaDia methods are described elsewhere [13], bellow is a description of study procedures for the surveillance of intestinal protozoan parasites only.

Study sites

The ViNaDia system has been implemented in six health facilities in four provinces from the three regions of Mozambique: in the South region three Hospitals have been included (Hospital Central de Maputo, Hospital Geral de Mavalane and Hospital Geral José Macamo), the Central region includes two hospitals (Hospital Central da Beira and Hospital Geral de Quelimane) and the North region one hospital (Hospital Central de Nampula). The surveillance initiated in Hospital Geral de Mavalane, and the other health facilities were gradually included. All study sites are located in urban areas. The criteria for selecting health facilities were: 1) having a general pediatric outpatient clinic and an inpatient service; 2) ability to provide care to children living in adjacent neighborhoods and local districts except for Hospital Central de Maputo (a national reference hospital—none of the participants recruited in Hospital Central de Maputo were from center or north region of Mozambique); and 3) having a reliable specimen transport system to collect and store stool sample in a timely and appropriate manner.

Study population, inclusion and exclusion criteria

The study population included children aged from 0 to 168 months who presented to the study health facility with diarrhea, defined as three or more loose liquid stools within the last 24 hours [14]. Children who acquired diarrheal disease during hospitalization or whose caretaker did not agree to sign the informed consent form were excluded from this study.

Sample size

The expected minimum sample size was calculated using OpenEpi [15] with an assumed prevalence of 16.1% for intestinal parasites [9] based on previous studies. We obtained a minimum sample size of at least 208. However, in this study, we included all children who met the inclusion criteria during the study period.

Data collection

We collected data using a structured data collection form. The data collection form was divided into sections: demographic information, clinical information, child immunization status and family socio economics status. Caretakers of eligible children were interviewed to collect additional information: sex, age, number of household members, clinical information and history of contact with animals (defined as having physical contact with any animal or their excrements in areas where the child circulated). The weight of the children at the time of presentation was collected from the clinical records to assess the nutritional status. If the child’s weight was not indicated in the clinical records, the health professional weighed the child and recorded it on the data collection form. Children under two years were measured lying down, and children with two years or more were measured while they were standing. Data collection was conducted by trained health professionals assigned at each site. The study team provided all the materials used for data collection, and all data collectors were trained on study procedures.

Sample collection and handling

One single stool specimen was collected from each study participant in a polystyrene tube and refrigerated in a cooler box with a temperature between 2ºC to 8ºC. Stool specimens collected in the Center and North regions were kept at -20ºC until shipment to the Instituto Nacional de Saúde (INS). Stool specimens collected in the South region were preserved in a cooler box and delivered to INS up to two hours after the collection. Upon reception at the INS, samples were sent to three different laboratories (parasitology, microbiology and virology) and aliquots were made separately for virologic, parasitic, and bacterial diagnoses. The aliquot for parasitic diagnoses were stored at -40ºC freezer until laboratory testing.

Laboratory detection of Cryptosporidium spp., G. lamblia, and E. histolytica

We used individual commercial immunoassays (TechLab, Inc, Blacksburg, VA, USA) to detect Cryptosporidium spp. oocysts antigen (CRYPTOSPORIDIUM II), G. lamblia cysts antigen (GIARDIA II) and E. histolytica cysts antigens (E. HISTOLYTICA II) according to the manufacturer recommendations [16-18]. G. lamblia and Cryptosporidium spp. were considered positive if the test results were ≥ 0.090 (absorbance at 450/620nm) and negative in test result < 0.090 (absorbance at 450/620nm) [16,18]. E. histolytica result was considered positive if the reading were 0.050 or higher after the negative control absorbance was subtracted, and was considered negative if the reading were < 0.050 after the negative control reading was subtracted [17].

Data management

We double entered questionnaire data and laboratory results into an electronic database using Epi Info 3.5.1 (Centers for Disease Control and Prevention, Atlanta, 2008) and exported to Microsoft Excel 2016 for data cleaning. We determined each child’s nutritional status by calculating underweight (WAZ) Z-Scores using the WHO Anthro software version 3.2.2 (for children aged 0 to 59 months) and WHO Anthro Plus software version 1.0.4 (for children aged 60 to 168 months) [19,20]. Nutritional status was classified as: adequate for well-nourished (-2 ≤ z ≤ +2); and malnutrition was classified as moderate (-3 ≤ z < -2) and severe (-6 ≤ z < -3) according to the WHO standards [21]. Children overweight were excluded from nutritional status analysis (2 < z ≤ +5) [21]. Reference data used to calculate anthropometry was WHO.

Statistical analysis

We analyzed the data using SPSS software (Statistical Package for the Social Sciences, Armok, NY: IBM Corp, 2011, version 25.0). We performed univariate analysis to describe the population characteristics and summarized the information in frequency tables. We performed a descriptive bivariate analysis for each parasite (Cryptosporidium spp., G. lamblia, and E. histolytica). All participants had complete data for the variables age and province. Two models were build using as dependent variables: Cryptosporidium spp. outcome and G. lamblia outcome. We performed crude bivariate logistic regression to identify factors associated with infection by Cryptosporidium spp. and G. lamblia. Independent variables that were associated with dependent variables at a level 0.1 in the crude bivariate logistic regression were included in the adjusted logistic regression model. Goodness-of-fit was based on Hosmer and Lemeshow test. Variables that showed a p-value of less than 0.05 were considered statistically significant.

Ethical statement

The National Bioethical Committee for Health from Mozambique approved the protocol (IRB00002657, reference Nr: 348/CNBS/13). Caretakers of eligible children provided written informed consent after receiving information about the purpose of the study. We ensured the confidentiality of all participants by storing the physical data collection and consent forms in a lockable cabinet with access only to the study investigators. In addition, the computers with study stored data were accessible by investigators with an access code.

Results

During the study period, 1978 children with diarrhea who presented at one of the study health facilities were enrolled in the survey of which 85.5% (1751/1978) provided a stool sample for testing. Of the specimens collected, 4.0% (70/1751) were lost during the transport process to INS, less than 1.0% (4/1681) were not tested due to incomplete completion of the laboratory paperwork and 39.8% (669/1681) samples were insufficient for testing at least one parasite. In total, the laboratory tested 1008 specimens (60.0%).

Population characteristics

The majority of children in the sample were male (59.2%). Most of the children were: aged from 0–11 months (48.7%), were enrolled from the health facilities in Maputo province (53.9%), lived in a household with five or more members (59.1%), and drinking water came from a piped water source (56.1%) (Table 1). Overall, 45.1% of the children had animal contact, and 4.9% were HIV positive (Table 1).
Table 1

Characteristics of children hospitalized with diarrhea.

CharacteristicsN = 1008%
    Sex 
        Male59759.2
        Female41040.7
        Unknown/ missing1 0.1
  
    Age group (months) 
        0–1149148.7
        12–2333933.6
        24–591235.5
        60–1685512.2
  
    Province 
        Maputo54353.9
        Sofala525.2
        Zambézia12812.7
        Nampula28528.3
  
    Household members 
        <537337.0
        ≥559659.1
        Unknown/ missing39 3.9
  
    Animal contact 
        Yes45545.1
        No52351.9
        Unknown/ missing303.0 
  
    Drinking Water Source 
        Public tap water32031.7
        Piped water56556.1
        Tube well959.4
        Others141.4
        Unknown/ missing141.4 
  
    HIV Status 
        Positive494.9
        Negative43743.4
        Unknown/ missing522 51.8
  
    Nutritional Status 
        Underweight 
        Adequate57757.8
        Moderate16416.4
        Severe13213.2
        Unknown/ missing135 12.5

N: Total number of samples tested

N: Total number of samples tested

Overall frequency of intestinal protozoans (Cryptosporidium spp., G. lamblia and E. histolytica)

The overall percentage of at least one intestinal parasite was 21.0% (212/1008), with Cryptosporidium spp. being the most common infection at 12.0% (118/985), followed by G. lamblia at 9.7% (95/983) and E. histolytica the least common at 2.0% (20/1004). Co-infection was observed in 2.1% (21/1008) of children with the combination of G. lamblia and Cryptosporidium spp. the most common at 1.1% (11/985) (Fig 1).
Fig 1

Frequency of intestinal protozoans (Cryptosporidium spp., G. lamblia and E. histolytica).

Frequency and Risk Factors for Cryptosporidium spp. infection

We analyzed data from 985 cases, and we found 118 positive cases (12.0%) for Cryptosporidium spp. Three of the four provinces (Maputo, Sofala and Nampula) showed a similar frequency for Cryptosporidium spp. infection (13.0%), except for Zambézia (4.0%). In multivariable analysis, infection with Cryptosporidium spp. was more likely for children living in Nampula province (adjusted odds ratio: 8.176, 95% CI: 1.916–34.894, p-value < 0.01) (Table 2).
Table 2

Descriptive characteristics, bivariate and multivariate analysis of children infected by Cryptosporidium spp.

CharacteristicsN = 985n = 118% (Positive)Bivariate OR (95% CI)Adjusted OR (95% CI)
    Sex
        Male5816611.4RefNA
        Female4035212.91.156 (0.784–1.704)NA
        Unknown/ missing100
    Age group (months)
        0–114786413.42.680 (0.813–8.836)NA
        12–233314212.72.519 (0.753–8.430)NA
        24–5912197.41.393 (0.362–5.359)NA
        60–1685535.5RefNA
    Province
        Maputo5256813.03.601 (1.421–9.127)**6.054 (1.433–25.583)*
        Sofala51611.83.227 (0.938–11.096)5.839 (1.112–30.653)*
        Zambézia12654.0RefRef
        Nampula2833913.83.868 (1.487–10.064)**8.176 (1.916–34.894)**
    Household members
        <53664412.01.012 (0.676–1.514)NA
        ≥55806911.9RefNA
        Unknown/ missing39
    Animal contact
        Yes448439.60.641 (0.429–0.958)*0.627 (0.398–0.986)*
        No5077214.2RefRef
        Unknown/ missing30
    Drinking Water Source
        Public tap water3153912.41.159 (0.554–2.422NA
        Piped water5506311.51.061 (0.523–2.151)NA
        Tube well921010.9RefNA
        Others14214.31.367 (0.267–7.007NA
        Unknown/ missing14
    HIV Status
        Positive49714.31.088 (0.466–2.538)NA
        Negative4295713.3RefNA
        Unknown/ missing507
    Nutritional Status
        Underweight
        Adequate560488.6RefRef
        Moderate1602918.12.361 (1.433–3.891)**2.552 (1.521–4.283)***
        Severe1302116.22.055 (1.182–3.572)*2.309 (1.310–4.069)**
        Unknown/ missing135

N: Total number of samples tested; n: number of positive samples; NA: not applicable

*: P < 0.05

**: P < 0.01

***: P < 0.001

N: Total number of samples tested; n: number of positive samples; NA: not applicable *: P < 0.05 **: P < 0.01 ***: P < 0.001 Children with reported animal contact were significantly less likely to be infected by Cryptosporidium spp. compared with the children without reported animal contact (9.6%, 43/448 vs 14.2%, 72/507 respectively, adjusted odds ratio: 0.627; CI: 0.398–0.986, p-value < 0.05 (Table 2). Children showing a moderate or severe status for underweight showed a higher risk of infection by Cryptosporidium spp. compared with the children who were well-nourished adjusted odds ratio: moderate (adjusted OR: 2.552; CI: 1.521–4.283, p-value < 0.001), severe (aOR: 2.309; CI: 1.310–4.069, p-value < 0.01) (Table 2). In this sample, sex, age, number of household members, animal contact, drinking water source, and HIV status were not associated with Cryptosporidium spp. infection among children with diarrhea (Table 2).

Frequency and Risk Factors for G. lamblia infection

We analyzed data from 983 cases, and we found 95 children infected (9.7%) with G. lamblia. Children age 12–23 months were more likely to be infected by G. lamblia (12.1%; 40/330) compared to children age 0–11 months (6.5%; 31/477), adjusted odds ratio: 1.870 (CI: 1.137–3.075, p-value < 0.05 (Table 3).
Table 3

Descriptive characteristics, bivariate and multivariate analysis of children infected by G. lamblia.

CharacteristicsN = 983n = 95% (Positive)Bivariate OR (95% CI)Adjusted OR (95% CI)
    Sex
        Male5806110.51.272 (0.819–1.976)NA
        Female402348.5RefNA
        Unknown/ missing1
    Age group (months)
        0–11477316.5RefRef
        12–233304012.11.984 (1.214–3.245)**1.870 (1.137–3.075)*
        24–591211411.61.882 (0.968–3.662)1.759 (0.868–3.563)
        60–168551018.23.197 (1.472–6.946)**2.322 (1.000–5.393)
    Province
        Maputo523529.9RefNA
        Sofala5100.0NANA
        Zambézia1261411.11.132 (0.606–2.115)NA
        Nampula2832910.21.034 (0.640–1.670)NA
    Household members
        <5364215.8RefRef
        ≥55806911.92.205 (1.138–3.663)**2.141 (1.286–3.565)**
        Unknown/ missing39
    Animal contact
        Yes4474810.71.232 (0.803–1.891)NA
        No506458.9RefNA
        Unknown/ missing30
    Drinking Water Source
        Public tap water315299.21.318 (0.166–10.441)NA
        Piped water548539.71.392 (0.179–10.851)NA
        Tube well9288.71.238 (0.143–10.729)NA
        Others1417.4RefNA
        Unknown/ missing14
    HIV Status
        Positive4924.1RefNA
        Negative4294310.02.618 (0.614–11.157)NA
        Unknown/ missing505
    Nutritional Status
        Underweight
        Adequate559519.1RefNA
        Moderate159138.20.887 (0.469–1.676)NA
        Severe1301410.81.202 (0.644–2.246)NA
        Unknown/ missing115

N: Total number of samples tested; n: number of positive samples; NA: not applicable

*: P < 0.05

**: P < 0.01

N: Total number of samples tested; n: number of positive samples; NA: not applicable *: P < 0.05 **: P < 0.01 G. lamblia infection was more common in children living in a household with five or more members (11.9%; 69/580) when compared with the ones living in a household with less than five household members (5.8%; 21/364), adjusted odds ratio: 2.141 (CI: 1.286–3.565, p-value < 0.01) (Table 3).

Frequency and Risk Factors for E. histolytica infection

We analyzed data from 1004 cases, and we found 20 positive cases (2.0%). In males E. histolytica was more common 2.5% (15/595). Children age 24–59 months were most affected with E. histolytica (3.3%; 4/123) (Table 4).
Table 4

Descriptive characteristics of children infected by E. histolytica.

CharacteristicsN = 1004n = 20% Positive
    Sex 
        Male595152.5
        Female40851.2
        Unknown/ missing100.0 
  
    Age group (months) 
        0–1148991.8
        12–2333761.8
        24–5912343.3
        60–1685511.8
  
    Province 
        Maputo541173.1
        Sofala5112.0
        Zambézia12810.8
        Nampula28410.4
  
    Household members 
        <537271.9
        ≥5593132.2
        Unknown/ missing3900.0 
  
    Animal contact 
        Yes45471.5
        No520132.5
        Unknown/ missing3000.0 
  
    Drinking Water Source 
        Public tap water31941.3
        Piped water563142.5
        Tube well9411.1
        Others1400.0
        Unknown/ missing1417.1 
  
    HIV Status 
        Positive4924.1
        Negative43692.1
        Unknown/ missing51991.7 
  
    Nutritional Status 
        Underweight 
        Adequate57650.9
        Moderate16442.4
        Severe13064.6
        Unknown/ missing11454.4 

N: Total number of samples tested; n: number of positive samples

N: Total number of samples tested; n: number of positive samples E. histolytica infection frequency varied by provinces, Maputo showed the highest frequency (3.1%; 17/541) and Nampula had the lowest (0.4%; 1/284). E. histolytica frequency among households with five or more members was similar to households with fewer members (2.2% versus 1.9%) (Table 4). Bivariate and multivariate analysis was not performed for E. histolytica due to the low number of positives. Alternatives approach was taken, by using the Chi-square test with continuity correction or Fisher’s exact test, in all cases no association was observed between the presence of E. histolytica with the independent variables.

Discussion

In this cross-sectional study, we found that parasitic infections were common, one-in-five children with diarrhea were infected with one or more intestinal parasites, presenting a serious public health problem. The above finding from this study is higher than previous studies conducted in Mozambique’s South region with an intestinal parasite’s frequency of 14.4% and 16.1% [9,10]. Differences observed from the earlier studies may be due to the microscopic diagnostic technique used in those studies, which is less sensitive than the immune enzymatic technique we used in this study [22], or we may consider an increase of parasitic infection due to inclusion of multiple sites in different regions. Our finding showed that Cryptosporidium spp. was the most common intestinal parasite found among children with diarrhea which is consistent with the Global Enteric Multicenter Study, conducted between December 2007 to March 2011 which reported Cryptosporidium spp. as the primary protozoan attributed as the cause of diarrhea in children [4,5]. G. lamblia was the second most common parasite and E. histolytica was the less common. For both, the proportion was lower when compared to a previous study conducted in a rural setting in the south region of Mozambique (18.8% for G. lamblia and 10.2% for E. histolytica/E. dispar) using the same diagnostic technique [5]. Previous studies reported a high frequency of intestinal parasites in rural settings compared to urban settings [23,24]. This finding maybe because of inadequate water supply, improper drainage systems and difficulty in accessing drug pharmacies to obtaining treatment against enteric parasites in rural settings [24]. The surveillance of E. histolytica is being carried out in many countries, reporting higher frequencies than the one we found in Mozambique, most of them primarily using microscopic techniques which cannot distinguish between pathogenic and non-pathogenic (Entamoeba dispar and Entamoeba moshkovskii), leading to over estimation of the true occurrence of E. histolytica [25-27]. In Mozambique, few studies reported E. histolytica using microscopy, only one of them included a molecular diagnostic approach and was unable to detect E. histolytica, only found E. dispar [10,28]. The study conducted in Manhiça—south region of Mozambique that used an ELISA technique to report E. histolytica infections, used an ELISA technique which reported a non-conclusive result, it reported infections by E. histolytica/E. dispar, our results may differ from this study because we used an ELISA kit specific only for E. histolytica [5]. Probably most of the positive children for E. histolytica/E. dispar were infected only by E. dispar, to confirm this hypothesis, positive samples previously reported as positive should be tested by a specific ELISA kit for E. histolytica such as the one we used or by a molecular diagnose tool for E. histolytica. A case-control study done in Mozambique reported a similar proportion of E. histolytica/E. dispar in case and controls regardless of their age, using an ELISA technique, which raises the question of whether E. histolytica/ E. dispar alone can generate symptomatology (e.g. diarrhea) [5]. Others may say E. histolytica is only found in symptomatic patients if there is co-infection with another enteric pathogen able to cause diarrhea [26]. We exclusively focused on intestinal protozoan detection and we found co-infection between: E. histolytica and G. lamblia, E. histolytica and Cryptosporidium spp. It is likely that if our surveillance system tested for other pathogens, other co-infections with E. histolytica would have been detected [26]. Cryptosporidium infection was observed in all study sites. This finding highlights the importance of studying this parasite in other Mozambique health facilities not included in the present study, to better estimate parasites distribution among children with diarrhea in the country. Zambézia province, showed less frequency, compared to the other provinces, suggesting different geographic distribution of Cryptosporidium spp. in Mozambique. Parasite geographic distribution can vary as it was previously observed in a country wide survey on enteric parasites in schoolchildren [12]. However, further studies should be conducted to better understand the factors related to host, environment and behavior which may explain the low frequency of Cryptosporidium spp. in Zambézia province. Additionally, knowing which Cryptosporidium species circulates in each site may provide evidence of the pathway used in transmission and by that, easy to see which barriers exist in Zambézia that reduce the frequency of Cryptosporidium spp. Although contact with animals has been reported to be a risk factor for Cryptosporidium spp. infection, we observed a higher frequency of the pathogen in children without animal contact. This finding suggests that the transmission of Cryptosporidium spp. oocysts may be by person-to-person contact, which has been more recorded in Africa [2,29]. More research is needed, using molecular diagnosis tools, to understand Cryptosporidium spp. transmission pathways [29]. Mozambique is one of the countries most affected by HIV with a prevalence of 13.2% [30]. Cryptosporidium spp. infection is expected to be higher in patients with HIV infection compared to patients without HIV infection. HIV positive children become progressively immunosuppressed, increasing the chance of acquiring infections [11]. In the GEMS study, Cryptosporidium spp. was considered a significant pathogen regardless of HIV infection [4], in our study we saw similar frequency of Cryptosporidium spp. in children HIV positive and negative. Similar frequency of Cryptosporidium spp. among HIV and non-HIV children can be due to the immune reconstitution with anti-retroviral therapy among HIV positive children [31]. The other reason can be the fact that Cryptosporidium spp. is more frequent in children HIV positive, with persistent and chronic diarrhea, and our study included children with acute diarrhea [11]. Mozambique is one of the most affected countries by malnutrition (43.0% for stunting, 15.0% for underweight and 6.0% for wasting) according to health demographic survey [32]. Underweight was related to Cryptosporidium spp. infection. Parasitic infection and malnutrition have been recorded with similar geographic distribution, not knowing if Cryptosporidium spp. infection caused malnutrition or if malnourishment makes children more vulnerable to infection [29]. Parasitic infection is thought to lead to child nutritional loss, chronic inflammation and subtle reduction in digestion and absorption. Moreover, being malnourished would mean that the immune system would not adequately protect the child from an opportunistic infection—by Cryptosporidium spp. [33-35]. Unfortunately, our cross-sectional study design does not allow us to answer the bi-directional relation between Cryptosporidium spp. and malnutrition. We observed that G. lamblia infection was more common in older children. This finding was also observed in other studies; -in hospitalized children from Manhiça district in the south region of Mozambique, Brazil and Cuba [5,7,36,37]. Children’s habits can explain this finding. As children grow they have more contact with environments which can be contaminated by G. lamblia, while younger children with less mobility have less exposure, and have additional protection from breastfeeding [9]. Interestingly the opposite was observed for Cryptosporidium spp. being more common in younger children and less common in the older ones, as for E. histolytica distribution were similar across the ages, raising a real concern in factors related to behavior and host that may predispose infection (no statistical support was observed between age and infection by Cryptosporidium spp. or E. histolytica). G. lamblia infection was more common in children living with five or more members in their houses. This finding was also reported in children hospitalized with diarrhea in Brazil where number of children in the household was a risk for infection, suggesting that the type of transmission is person-to-person contact in crowed environments [36]. All three studied parasites are known to be waterborne, yet, no association with drinking water source was found, in many cases when parasites are related to water are in known outbreaks, which was not recorded in the study population during the recruitment period [29]. Regardless of the water source, boiling or filtration can prevent infection [22]. We could not find any risk factors related to E. histolytica, which may indicate sanitation as the main determinant for acquiring infection by E. histolytica [26]. We found a similar proportion of E. histolytica in children HIV positive with the one reported in Tanzania, which is Mozambique neighbor country in the same study a high relation between E. moshkovskii and HIV positive was observed [38]. Although no statistical difference was observed between provinces for E. histolytica, the provinces near Tanzania—where E. histolytica was not detected in a case-control study in children younger than 2 years—(Nampula and Zambézia), we observed in our study lower frequencies than Sofala and Maputo provinces, suggesting that geographic distribution may have a role in E. histolytica occurrence [6]. We identify three main limitations of our study. First, we only tested one stool sample for each participant, some studies recommend testing multiple samples for each participant to avoid underestimation of the true frequency [9,22,39], although we were not able to increase the number of stool specimen collected for each participant, we used a more sensitive diagnose technique [40]. We had many missing information in the independent variables; however, our sample size meets the minimal sample size required for inferential analysis. Our laboratory procedures were unable to diagnose helminth infections in recruited children.

Conclusions

Parasitic infection is common among children with diarrhea. Cryptosporidium spp. was the most common parasite in Maputo, Sofala and Nampula provinces. There are more factors related to Cryptosporidium spp. infection to be explored across the provinces, using a different study design to better understand its relation with malnutrition. Cryptosporidium spp. was more common in younger children than the older ones, the opposite was observed for G. lamblia. A large number of household members in the child’s household and child age were factors related to infection by G. lamblia infection. E. histolytica was found in all three regions of the country although in a lower frequency.

Recommendations

Routine testing, standard treatment, and assessment for risk exposure should be implemented at health facilities in Mozambique for children admitted with diarrheal disease. Additional studies using different designs such as longitudinal approach should be done to better explore type of relation between Cryptosporidium spp. and malnutrition. Cryptosporidium spp. molecular characterization would provide information regarding which species circulate in Mozambique and transmission pathways, either by animal contact or person-to-person contact. Anti-retroviral therapy role against Cryptosporidium spp. infection should be better understood. Other pathogens associated with E. histolytica such as virus and bacteria should be taken in count in future studies.

STROBE checklist.

(DOCX) Click here for additional data file. (XLSX) Click here for additional data file.
  27 in total

1.  Diarrhoea: why children are still dying and what can be done.

Authors:  Tessa Wardlaw; Peter Salama; Clarissa Brocklehurst; Mickey Chopra; Elizabeth Mason
Journal:  Lancet       Date:  2009-10-14       Impact factor: 79.321

Review 2.  Epidemiology of Cryptosporidium in Pediatric Diarrheal Illnesses.

Authors:  Aashima Dabas; Dheeraj Shah; Shinjini Bhatnagar; Rakesh Lodha
Journal:  Indian Pediatr       Date:  2017-04-15       Impact factor: 1.411

3.  Geographic distribution and prevalence of schistosomiasis and soil-transmitted helminths among schoolchildren in Mozambique.

Authors:  Gerito Augusto; Rassul Nalá; Verónica Casmo; Acácio Sabonete; Lourenço Mapaco; Judite Monteiro
Journal:  Am J Trop Med Hyg       Date:  2009-11       Impact factor: 2.345

4.  High prevalence of Entamoeba moshkovskii in a Tanzanian HIV population.

Authors:  David L Beck; Nihal Doğan; Venance Maro; Noel E Sam; John Shao; Eric R Houpt
Journal:  Acta Trop       Date:  2008-04-07       Impact factor: 3.112

5.  Etiology of diarrhea in children younger than 5 years of age admitted in a rural hospital of southern Mozambique.

Authors:  Inácio M Mandomando; Eusébio V Macete; Joaquim Ruiz; Sergi Sanz; Fatima Abacassamo; Xavier Vallès; Jahit Sacarlal; Margarita M Navia; Jordi Vila; Pedro L Alonso; Joaquim Gascon
Journal:  Am J Trop Med Hyg       Date:  2007-03       Impact factor: 2.345

6.  Intestinal parasites in children hospitalized at the Central Hospital in Maputo, Mozambique.

Authors:  Ana Maria Fonseca; Natercia Fernandes; Filipa S Ferreira; Joana Gomes; Sónia Centeno-Lima
Journal:  J Infect Dev Ctries       Date:  2014-06-11       Impact factor: 0.968

7.  Prevalence of and risk factors for intestinal parasite infections in pediatric patients admitted to public hospitals in Southern Brazil.

Authors:  Isis Almeida de Almeida; Sabrina Jeske; Marília Arndt Mesemburg; Maria Elisabeth Aires Berne; Marcos Marreiro Villela
Journal:  Rev Soc Bras Med Trop       Date:  2017 Nov-Dec       Impact factor: 1.581

8.  Early impact of rotavirus vaccination in children less than five years of age in Mozambique.

Authors:  Nilsa de Deus; Jorfélia José Chilaúle; Marta Cassocera; Miguel Bambo; Jerónimo Sozinho Langa; Ezequias Sitoe; Assucênio Chissaque; Elda Anapakala; Júlia Sambo; Esperança Lourenço Guimarães; Diocreciano Matias Bero; Eva Dora João; Idalécia Cossa-Moiane; Jason M Mwenda; Goitom G Weldegebriel; Umesh D Parashar; Jacqueline E Tate
Journal:  Vaccine       Date:  2017-11-08       Impact factor: 3.641

Review 9.  Cryptosporidium and Giardia in Africa: current and future challenges.

Authors:  Sylvia Afriyie Squire; Una Ryan
Journal:  Parasit Vectors       Date:  2017-04-20       Impact factor: 3.876

Review 10.  Prevalence of Entamoeba histolytica, Giardia lamblia, and Cryptosporidium spp. in Libya: 2000-2015.

Authors:  Khalifa Sifaw Ghenghesh; Khaled Ghanghish; Elloulu T BenDarif; Khaled Shembesh; Ezzadin Franka
Journal:  Libyan J Med       Date:  2016-06-29       Impact factor: 1.657

View more
  9 in total

1.  Intestinal Parasitic Infections Among Pediatric Patients in a Metropolitan City of Bangladesh With Emphasis on Cryptosporidiosis.

Authors:  Nusrat Jahan Nipa; Nasima Aktar; Hasina M Hira; Farhana Akter; Dilshad Jahan; Salequl Islam; Ayukafangha Etando; Adnan Abdullah; Kona Chowdhury; Rahnuma Ahmad; Ahsanul Haq; Mainul Haque
Journal:  Cureus       Date:  2022-07-16

Review 2.  Molecular Epidemiology of Human Cryptosporidiosis in Low- and Middle-Income Countries.

Authors:  Xin Yang; Yaqiong Guo; Lihua Xiao; Yaoyu Feng
Journal:  Clin Microbiol Rev       Date:  2021-02-24       Impact factor: 26.132

3.  Prevalence of Intestinal Parasitic Infection and Associated Factors Among HAART Initiated Children Attending at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia.

Authors:  Biruk Bayleyegn; Berhanu Woldu; Aregawi Yalew; Desie Kasew; Fikir Asrie
Journal:  HIV AIDS (Auckl)       Date:  2021-01-25

4.  Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data.

Authors:  Aziz Zafar; Ziad Attia; Mehret Tesfaye; Sosina Walelign; Moges Wordofa; Dessie Abera; Kassu Desta; Aster Tsegaye; Ahmet Ay; Bineyam Taye
Journal:  PLoS Negl Trop Dis       Date:  2022-06-14

5.  Intestinal protozoa in hospitalized under-five children with diarrhoea in Nampula - a cross-sectional analysis in a low-income setting in northern Mozambique.

Authors:  Adilson Fernando Loforte Bauhofer; Idalécia Laurinda Carlos Cossa-Moiane; Selma Domingos Amadeu Marques; Esperança Lourenço Alberto Mabandane Guimarães; Benilde António Munlela; Elda Muianga Anapakala; Jorfélia José Chiláule; Marta Cassocera; Jerónimo Souzinho Langa; Assucênio Chissaque; Júlia Assiat Monteiro Sambo; Lena Vânia Manhique-Coutinho; Diocreciano Matias Bero; Timothy Allen Kellogg; Luzia Augusta Pires Gonçalves; Nilsa de Deus
Journal:  BMC Infect Dis       Date:  2021-02-23       Impact factor: 3.090

6.  High Frequency of Cryptosporidium hominis Infecting Infants Points to A Potential Anthroponotic Transmission in Maputo, Mozambique.

Authors:  Idalécia Cossa-Moiane; Hermínio Cossa; Adilson Fernando Loforte Bauhofer; Jorfélia Chilaúle; Esperança Lourenço Guimarães; Diocreciano Matias Bero; Marta Cassocera; Miguel Bambo; Elda Anapakala; Assucênio Chissaque; Júlia Sambo; Jerónimo Souzinho Langa; Lena Vânia Manhique-Coutinho; Maria Fantinatti; Luis António Lopes-Oliveira; Alda Maria Da-Cruz; Nilsa de Deus
Journal:  Pathogens       Date:  2021-03-04

7.  Intestinal Parasites in Children up to 14 Years Old Hospitalized with Diarrhea in Mozambique, 2014-2019.

Authors:  Ofélia Luís Nhambirre; Idalécia Cossa-Moiane; Adilson Fernando Loforte Bauhofer; Assucênio Chissaque; Maria Luisa Lobo; Olga Matos; Nilsa de Deus
Journal:  Pathogens       Date:  2022-03-14

8.  Characterizing Undernourished Children Under-Five Years Old with Diarrhoea in Mozambique: A Hospital Based Cross-Sectional Study, 2015-2019.

Authors:  Júlia Sambo; Marta Cassocera; Assucênio Chissaque; Adilson Fernando Loforte Bauhofer; Clémentine Roucher; Jorfélia Chilaúle; Idalécia Cossa-Moiane; Esperança L Guimarães; Lena Manhique-Coutinho; Elda Anapakala; Diocreciano M Bero; Jerónimo S Langa; Katja Polman; Luzia Gonçalves; Nilsa de Deus
Journal:  Nutrients       Date:  2022-03-10       Impact factor: 5.717

9.  Effectiveness of Monovalent Rotavirus Vaccine in Mozambique, a Country with a High Burden of Chronic Malnutrition.

Authors:  Assucênio Chissaque; Rachel M Burke; Esperança L Guimarães; Filomena Manjate; Arsénio Nhacolo; Jorfélia Chilaúle; Benilde Munlela; Percina Chirinda; Jerónimo S Langa; Idalécia Cossa-Moiane; Elda Anapakala; Adilson Fernando Loforte Bauhofer; Marcelino Garrine; Eva D João; Júlia Sambo; Luzia Gonçalves; Goitom Weldegebriel; Keith Shaba; Isah Mohammed Bello; Jason M Mwenda; Umesh D Parashar; Jacqueline E Tate; Inácio Mandomando; Nilsa de Deus
Journal:  Vaccines (Basel)       Date:  2022-03-15
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.