Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Epidemiology and multiple colonization of gastrointestinal pathogens in rural Tanzanian children with and without diarrhea: A case-control study

  • Daniel Haile Chercos ,

    Roles Formal analysis, Writing – original draft, Writing – review & editing

    daniel.chercos@bnitm.de

    Affiliation One Health Bacteriology Group, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany

  • Solomon T. Wafula,

    Roles Formal analysis, Writing – review & editing

    Affiliation Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany

  • John P. A. Lusingu,

    Roles Data curation, Writing – review & editing

    Affiliation National Institute for Medical Research, Tanga Centre, Tanga, Tanzania

  • Daniel T. R. Minja,

    Roles Data curation, Writing – review & editing

    Affiliation National Institute for Medical Research, Tanga Centre, Tanga, Tanzania

  • Samwel Gesase,

    Roles Data curation

    Affiliation National Institute for Medical Research, Tanga Centre, Tanga, Tanzania

  • Joyce R. Mbwana,

    Roles Conceptualization, Investigation, Writing – review & editing

    Affiliation National Institute for Medical Research, Tanga Centre, Tanga, Tanzania

  • Ulrich Schotte,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Animal Health and Zoonoses, Central Institute of the Bundeswehr Medical Service, Kiel, Germany

  • Jürgen May,

    Roles Conceptualization, Writing – review & editing

    Affiliations Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany, University Medical Centre Hamburg-Eppendorf (UKE), Tropical Medicine, Hamburg, Germany, German Centre for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany

  • Lea Mardeis,

    Roles Writing – review & editing

    Affiliation One Health Bacteriology Group, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany

  • Anna Jaeger,

    Roles Data curation

    Affiliation Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany

  • Sandra Rojak,

    Roles Investigation

    Affiliation Department of Microbiology and Hospital Hygiene, Bundeswehr Central Hospital, Koblenz, Germany

  • Maike Lamshöft,

    Roles Writing – review & editing

    Affiliations Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany, University Medical Centre Hamburg-Eppendorf (UKE), Tropical Medicine, Hamburg, Germany, German Centre for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany

  • Joseph Kaseka,

    Roles Methodology

    Affiliation National Institute for Medical Research, Tanga Centre, Tanga, Tanzania

  • Eva Lorenz,

    Roles Methodology, Writing – review & editing

    Affiliations Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany, German Centre for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany, Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre of the Johannes Gutenberg University Mainz, Mainz, Germany

  • Hagen Frickmann,

    Roles Conceptualization, Writing – original draft

    Affiliations Department of Microbiology and Hospital Hygiene, Bundeswehr Hospital, Hamburg, Germany, Department of Medical Microbiology, Virology and Hygiene, University Medicine, Rostock, Germany

  •  [ ... ],
  • Denise Dekker

    Roles Conceptualization, Writing – original draft, Writing – review & editing

    Affiliation One Health Bacteriology Group, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany

  • [ view all ]
  • [ view less ]

Abstract

Diarrheal diseases are important causes of morbidity and mortality, worldwide. The occurrence of multiple pathogens in stool samples of symptomatic and asymptomatic individuals in resource-limited countries have been repeatedly described. In this study, we assessed the differentiated effects of combined pathogen detections on recorded symptoms. A case-control study was conducted among 620 under-five-year-old children in rural northeastern Tanzania with emphasis of multiple detection. The median age of children was 11 months (IQR = 7, 20), and 52.1% were male. Cases (50.2%, n = 157) were less likely than controls (64.5%, n = 198) to have multiple colonization with gastrointestinal tract (GIT) pathogens. The children’s age was positively associated with the likelihood of harboring multiple GIT pathogens [OR, 1.02, 95% CI = 1.01, 1.04]. Shigella spp./enteroinvasive Escherichia coli (EIEC) [OR = 2.80, 95% CI 1.62, 4.83] and norovirus [OR = 2.04, 95% CI 1.23, 3.39] were more common in cases and were strongly associated with diarrhea, while enteroaggregative E. coli (EAEC) [OR = 0.23, 95%CI 0.17–0.33] were more common in controls. Diarrheal diseases in under-five children from rural Tanzania are likely to be due to infections with Shigella spp./EIEC, and norovirus with strongly age-dependent associations.

Introduction

Diarrheal disease, particularly in children below the age of five, is among the leading causes of childhood mortality in resource-limited countries. In the year 2019 and thus before the SARS-CoV-2-pandemic-associated changes, approximately 1.6 million deaths were reported from diarrheal infections, mainly occurring in Africa and South-East Asia [1]. With few exemptions, however, microbial causes of infectious gastroenteritis are facultatively pathogenic, meaning that they can occur both as causative agents and as merely colonizing commensals in the enteric tract of human individuals. This is particularly true for tropical high endemicity, making assignments of etiological relevance to diagnostically detected microorganisms in stool samples challenging as summarized elsewhere [2]. However, reliable etiological assignments would be highly desirable to adequately consult the clinical management of patients with infectious gastroenteritis.

Large multicentric studies including the MAL-ED (malnutrition and enteric disease) study and others conducted in resource-limited countries have shown not only that the colonization with multiple gastroenteric pathogens is common in patients with diarrhea, but also demonstrated that multiple or individual pathogen species can be carried asymptomatically [1, 3, 4]. Asymptomatic infections are frequently overlooked, resulting in undetected but continued mild symptoms or colonization following a development of partial immunity. Recent studies among Tanzanian children with diarrhea not only showed that multiple detections of gastroenteric pathogens are frequent, but also that pathogens affect each other reciprocally regarding their etiological relevance in human disease [3, 4]. Furthermore, there seems to be an age-dependent increased likelihood of pathogen-specific infections in children below the age of five years [5]. In patients with infectious gastroenteritis, a broad spectrum of possible causative pathogens has to be considered including rare parasites as well as antimicrobial-resistant bacteria such as Salmonella enterica and others [6, 7]. Altogether, bacterial and protozoan pathogens quantitatively dominate in children with diarrhea in Tanzania.For instance among viral causative agents of gastroenteritis, rotavirus and norovirus have been most frequently implicated [8, 9]. Nevertheless, their role in causing symptoms and hence disease is often unclear, especially in patients from which multiple pathogens have been isolated. To identify associations between multiple pathogens and the occurrence of diarrhea, a control group without diarrhea would be essential.

The etiology of diarrhea in some regions of sub-Saharan Africa is still poorly understood, although crucial to guide antimicrobial treatment when indicated and to support the implementation of preventive programs.

This study aimed to assess the role of different gastrointestinal pathogens alone or in the course of multiple colonization in children with and without diarrhea attending a rural hospital in Tanzania. Further possible associations with cumulative effects of multiple infections/colonization were assessed as well as the most frequently observed pathogen combinations and gastrointestinal clinical symptoms in children aged below five years. By doing so, a new piece in the puzzle hopefully leading to a better future understanding of etiological relevance assignment to enteric microorganisms detected in tropical high-endemicity settings was provided.

Material and methods

Study design, population and sample materials

Unmatched case-control study was carried out from September 2017 to February 2019 among under-five years-old children at Korogwe District Hospital, in rural Northeastern Tanzania. Stool samples from 632 individuals with and without gastrointestinal symptoms were screened for bacterial, protozoan and viral pathogens with a focus on multiple pathogen detection. Symptomatic children presented to the outpatient department of Korogwe District Hospital were included in the study when they had diarrhea or a history of diarrhea in the past 72 hours (cases). Asymptomatic in the sense of the study approach were those children without diarrhea or a history of diarrhea in the past 72 hours before visiting the vaccinatinion clinic (controls). Clinical data such as vomiting and presence of diarrhea, as well as epidemiological data such as age, sex, and date of the year were also collected from the study participants. Cherry pit-sized stool volumes were collected and subjected to immediate nucleic acid extraction on site as well to storage at room temperature on Whatman FTA micro cards (Sigma Aldrich, Ulm, Germany, product number WHAWB120210) and on flocked swabs with an included proprietary drying system (GenoTube Livestock Swabs, Thermo Fisher Scientific Prionics AG, Schlieren, Switzerland) for later additional nucleic acid extraction after sample shipment to Germany for a methodical comparison reported elsewhere [10].

Nucleic acid extraction

All stool samples were subjected to nucleic acid extraction by applying the Invisorb Spin Universal Kit (INVITEK Molecular, Berlin, Germany) for RNA and DNA according to the manufacturer’s instructions in the Korogwe GCLP-compliant laboratory, Tanzania. Extracts were then stored at -80°C and shipped on dry ice to the Bernhard Nocht Institute for Tropical Medicine (BNITM) in Hamburg, Germany after the Material Transfer Agreement was approved by the Tanzania National Ethics Committee. From a subpopulation of 466 patients with and without diarrhea, additional nucleic acid extraction was performed from Whatman FTA micro cards (Sigma Aldrich, Ulm, Germany, product number WHAWB120210) and from flocked swabs with an included proprietary drying system (GenoTube Livestock Swabs, Thermo Fisher Scientific Prionics AG, Schlieren, Switzerland) in Kronshagen, Germany. Fragments from the Whatman papers and swabs were incubated at 56°C in 550 μL buffer ATL (Qiagen, Hilden, Germany) and centrifuged for 15 minutes at 1000 rev min-1 (revolutions per minute) [11, 12]. Nucleic acid extraction was then performed automatically by applying a QIAsymphony automate (Qiagen; protocol “Complex_200_default_IC”, QIAsymphony DSP Virus/Pathogen Mini-Kit) as described by the manufacturer including the addition of carrier RNA. All extractions were stored at −80°C until further processing. In case of Polymerase Chain Reaction (PCR) assessments from multiple extractions from the same sample, the sample was considered as positive in case of at least one positive PCR signal from any extraction.

Real-time PCRs

The samples were subjected to PCR-based screening in Hamburg and Kronshagen including in-house real-time multiplex PCR targeting enteropathogenic Escherichia coli (EPEC) (EAF, eae), enterotoxigenic E. coli (ETEC) (LT /ST), and enteroaggregative E. coli (EAEC) (aggR) [13], entero-invasive Salmonella spp. (ttrR), Shigella spp./enteroinvasive E. coli (EIEC) (ipaH), Campylobacter jejuni (gyrA), and Yersinia spp. (ail) [14], the enteropathogenic protozoa Entamoeba histolytica (SSU-rRNA), Giardia duodenalis (SSU-rRNA), Cyclospora spp. (SSU-rRNA), and Cryptosporidium parvum (138-bp fragment inside the C. parvum-specific 452-bp fragment), the enteric helminths Ancylostoma spp. (ITS-2), Ascaris lumbricoides (ITS-1), Enterobius vermicularis (ITS-1), Hymenolepis nana (ITS-1), Necator americanus (ITS-2), Schistosoma spp. (ITS-2), Strongyloides stercoralis (18S-rRNA), Taenia saginata (ITS-1), Taenia solium (ITS-1), Trichuris trichiura (18S-rRNA) [15], and hepatitis E-virus [16], respectively, as well as one commercial real-time PCR targeting norovirus and hepatitis A virus (SureFast® Norovirus/Hepatitis A 3plex assay, r-biopharm, Darmstadt, Germany) according to the manufacturer’s instructions. The in-house real-time PCRs and their performance characteristics are described in detail elsewhere [1317]. Both qualitative PCR results and cycle threshold (Ct) values were recorded.

Statistical methods

Data were collected and managed using REDCap version 9.8.2 (Vanderbilt University, Nashville, USA) before being analyzed using R version 4.2.1 and RStudio version 2022.12.0+353 (Posit Software, Boston, Massachusetts). Categorical data were described as frequencies and percentages, and numerical data were summarized by calculating the median and interquartile range. The association between multiple colonization of gastrointestinal tract (GIT) pathogens and case-control status were estimated using ordinal logistic regression which is adjusted for sex, age and season. Binary logistic regression with interaction terms adjusted for sex, age, and season was also constructed to determine if there was a difference in the distribution of the most commonly reported combinations of gastrointestinal pathogens between cases and controls. Based on the p-value < 0.05 criterion, variables with significant associations were identified, and Benjamini and Hochberg correction was applied when multiple testing was conducted. Odds ratios (OR) with 95% confidence intervals (CI) were calculated to describe effect sizes.

Results

Demographic characteristics of study participants

Of the 632 children enrolled, complete information were available for 620 children (313 cases and 307 controls). Approximately half (52%, n = 324) were male and the median age was 11 months (IQR = 7, 20). Among recorded symptoms, vomiting was more prevalent in cases (38%) than in controls (11%) (q<0.001) (Table 1).

thumbnail
Table 1. Characteristics of children with diarrhea (cases) and without diarrhea (controls) (N = 620).

https://doi.org/10.1371/journal.pone.0305469.t001

Common gastrointestinal pathogens isolated from rural Northeastern Tanzanian children

Among the 23 gastrointestinal pathogens considered in this study, G. duodenalis, enteropathogenic E. coli (EPEC), and enteroaggregative E. coli (EAEC) were the most frequently observed. Despite their low proportions, Shigella spp./enteroinvasive E. coli (EIEC), norovirus, and C. jejuni were more common in cases than in controls. EAEC, EPEC, and G. duodenalis were observed more often in controls than in cases (Fig 1).

thumbnail
Fig 1. Ten most common GIT pathogens found in rural Northeastern Tanzanian children (N = 620).

https://doi.org/10.1371/journal.pone.0305469.g001

Distribution of GIT pathogens in different age groups

Enteropathogenic E. coli and EAEC were the most frequent GIT pathogens found in rural Northeastern Tanzanian children with and without diarrhea under the age of two. Norovirus was more frequent in children under the age of two in the case group than in children of comparable age in the control group. C. jejuni was more frequent in children with diarrhea under the age of two, compared to children of similar age in the control group. Shigella spp./EIEC were more frequent in children above one year of age in cases than in children of similar age in the control group. The graph below (Fig 2) suggests that the frequency of any GIT pathogen decreases as children get older, with the exceptions of Shigella spp./EIEC and G. duodenalis.

thumbnail
Fig 2. Distributions of common GIT pathogens among different age groups in rural Northeastern Tanzanian children (N = 620).

https://doi.org/10.1371/journal.pone.0305469.g002

Multiple GIT pathogens among rural Northeastern Tanzanian children

More than one GIT pathogen was isolated in 50.2% (n/N = 157/313) of cases and 64.5% (n/N = 198/307) of controls. On the other hand, more cases (33.5%, n/N = 105/313) than controls (25.4%, n/N = 78/307) had only a single GIT pathogen. More children tested negative for GIT pathogens (16.3%, n/N = 51/313) than the controls (10.1%, n/N = 31/307). Children with multiple colonization had up to five detected GIT pathogens. There were more controls than cases with two GIT pathogens (34.5%, n/N = 106/307 vs 29.1%, n/N = 91/313) and three GIT pathogens (23.4%, n/N = 72/307 vs 14.1%, n/N = 44/313). However, the proportion of children with four (5.55% n/N = 17/307 vs 5.54% n/N = 17/313) and five (0.98% n/N = 3/307 vs 1.6% n/N = 5/313) GIT pathogens in both groups was the same.

Common GIT pathogen co-infection among rural Northeastern Tanzanian children

The most common GIT combination found in rural northeastern Tanzanian children’s stool samples were EAEC and EPEC, which was more frequent in controls than in cases. In addition, the combined prevalence of EAEC, G. duodenalis, and EPEC in controls was more frequent than in cases (Fig 3). In contrast, the combination of Shigella spp./EIEC and EPEC was more frequent in cases than in controls.

thumbnail
Fig 3. The most common gastrointestinal pathogen combinations observed in rural Northeastern Tanzanian children (N = 355).

https://doi.org/10.1371/journal.pone.0305469.g003

Associations of GIT colonization in rural Northeastern Tanzanian children

There was a difference in the odds of having multiple GIT pathogenic organisms when comparing cases to controls. Adjusted regression results revealed that cases were 44% less likely than controls to have multiple GIT pathogenic organisms isolated in their stool samples [OR = 0.56, 95% CI = 0.41, 0.76]. Similarly, there appears to be a minor but statistically significant association between children’s age and the odds of harboring multiple GIT pathogens. The odds of harboring multiple GIT pathogens increased by 2% on average for every additional 1 month of child age [OR, 1.02, 95%CI = 1.01, 1.04]. In contrast, there was no significant differences in odds of multiple colonizations between different gender (of the child) and season of the year (Table 2).

thumbnail
Table 2. Factors associated with multiple colonization of GIT pathogenic microorganisms in rural Northeastern Tanzanian children (N = 620).

https://doi.org/10.1371/journal.pone.0305469.t002

Association between GIT pathogens and diarrhea in rural Northeastern Tanzanian children

According to logistic regression analysis adjusted for age, gender and season, cases were 2.80 times as likely than controls to be associated with Shigella spp./EIEC infection [OR = 2.80, 95% CI 1.62, 4.83]. In addition, norovirus was twice as likely to be detected among cases compared to controls [OR = 2.04, 95% CI 1.23, 3.39]. Cases also had lower odds for EAEC detection than controls [OR = 0.23, 95%CI 0.17–0.33]. We observed a marginally significant association between C. jejuni infection and diarrhea (case group) [OR = 1.77, 95%CI 0.99–3.16] (Table 3).

thumbnail
Table 3. Distributions of GIT pathogens most commonly observed in rural Northeastern Tanzanian children with and without diarrhea (N = 620).

https://doi.org/10.1371/journal.pone.0305469.t003

The effect of GIT pathogens and their combinations on the presence of diarrhea

According to a logistic regression analysis that accounted for age, sex, and season, the odds of finding EAEC in cases were significantly lower compared to controls. Furthermore, the odds of identifying Shigella spp. /EIEC in cases were significantly greater than in controls. Furthermore, while there is no statistically significant difference between cases and controls, the presence of EPEC appears to influence the odds of identifying norovirus, EAEC, Shigella spp./EIEC, and Giardia duodenalis in cases or controls (Fig 4).

thumbnail
Fig 4. The effect of commonly observed multiple GIT pathogen colonization in case of the occurrence of diarrhea in rural Northeastern Tanzanian children (N = 620).

https://doi.org/10.1371/journal.pone.0305469.g004

Discussion

The study sought to understand the epidemiology of gastrointestinal pathogens among under five children with and without diarrhea in rural Tanzania. The groups were comparable regarding age and gender, more vomiting in the diarrhea group compared to the control group further confirmed clinically apparent gastroenteritis within the diarrheal group. Our findings confirmed a high prevalence of bacterial and protozoan intestinal infections previously reported in Tanzanians [18, 19]. Among the identified enteropathogenic protozoa, G. duodenalis and–to a lesser extent–C. parvum were most frequent, which is in line with previous findings [20, 21]. E. histolytica did not play a relevant role in contrast to what was described before [22]. This observed discrepancy as compared to other studies [22] that were done elsewhere in Tanzania suggests geographic disparities in E. histolytica prevalence in Tanzania. Diagnostic accuracy of the screening PCR applied (mean and 95% confidence interval) of 97.7% (94.0%, 99.1%) sensitivity and 99.4% (98.7%, 99.7%) as reported elsewhere [23] makes it unlikely that relevant proportions of E. histolytica-containing samples were overlooked in the present study. Focusing on detected enteropathogenic bacteria, there was a great majority of diarrheagenic E. coli and Shigella spp. followed by C. jejuni and Salmonella spp. This finding is in line with previous reports in Tanzanian context [18, 19, 24], although two-digit percentages of Salmonella spp.-infections like reported elsewhere [24] could not be confirmed in our study. The quantitatively relevant detection of norovirus in our study cohort matches previous results [9]. Quantitatively relevant helminthic infections could only be shown for S. stercoralis, for which regional differences were previously demonstrated in another study conducted in Northern Tanzania [25].

Multiple pathogen detections were not primarily associated with increased risk of clinical diarrhea but were more frequently observed in colonized individuals than in patients with diarrhea. Moreover, multiple colonization was associated with age, while–in contrast—age-dependent pathogenicity was only inconsistently recorded. Although the numbers of older children were low, these findings at least pointed into the direction of habituation phenomena as recently described for Tanzania [26], potentially resulting in a semi-immunity-like state without clinically apparent diarrhea. This likely immunity-associated habituation effect is supported by the finding that proportions of most pathogen detections dramatically declined with increasing age in spite of an obvious high colonization pressure. Interestingly, Shigella spp./EIEC detections in diarrheagenic children seemed to be an exemption from this rule.

In addition, associations of pathogen detection with diarrhea could be confirmed for a minority of pathogens only, while most pathogens were almost evenly distributed among both study groups. Shigella spp. or enteroinvasive E. coli, not discriminable with the applied PCR assay, as well norovirus detections were found to be associated with diarrhea, while there was an association of enteroaggregative E. coli and children without gastroenteric symptoms. Both observations match previous findings from other settings [26, 27]. In a previous study in children in rural Ghana [28], Shigella spp./EIEC and norovirus were found to be more frequent in children with diarrhea compared to children without gastroenteric symptoms. In the same study, Cryptosporidium spp. and rotavirus were associated with diarrhea, the latter not examined and frequencies of Cryptosporidium spp. being low in this study, which makes it difficult to draw any conclusion. Focusing on the here-observed association of enteroaggregative E. coli and healthy individuals [29], a recent study on travelers’ diarrhea indicated the abundance of this microorganism in stool samples in general, considerably challenging its etiological relevance.

Of note, no conclusive information on the effect of pathogen combinations on etiological relevance could be obtained from this study. However, this may at least partly be due to the low sample size and so, future studies with a larger sample size would be required to draw definite conclusion from this.

The study has a number of limitations. First, the sample size is still fairly low, which makes any conclusions on rarely occurring pathogens difficult. Second, the applied real-time PCR assays comprise only a subset of microorganisms possibly associated with diarrhea in the study participants. Other pathogens such as rotavirus, which is strongly associated with diarrhea, were not screened. Accordingly, a lacking pathogen diagnosis does not necessarily mean the absence of an etiologically relevant microorganism not included in the real-time PCR panel. Finally, we abstained from including semi-quantification based on the cycle threshold values of real-time PCR in the assessments, which was decided for the following reasons. One reason is that Ct-value-based stratification would have made the compared populations too small and so, statistically meaningful results would have been unlikely. Also, Ct-value comparisons in a previous technical assessment with datasets from the same study population [10] had shown that Ct-values of individuals with and without diarrhea were virtually indistinguishable. Although complex pathogen interactions with microbial loads as a relevant influence cannot be excluded based on this previous experience, we feel justified to assume that semi-quantification is no reliable parameter by itself to assign etiological relevance to a detected microbial pathogen in the assessed population. For the assessment of complex interactions, however, future studies including higher sample sizes will be required.

Conclusions

In the presented study on the epidemiology of diarrhea in rural Tanzanian children, multiple PCR detections of pathogens were more likely to occur in children without diarrhea than in those with diarrhea. Multiple pathogens detection was also associated with the children’s age. Diarrhea was mainly associated with Shigella spp./EIEC either alone or in combination with other pathogens like, e.g., norovirus, while, in contrast, enteroaggregative E. coli were more frequently detected alone or in defined combinations with other enteropathogens in subjects without diarrhea. The study results underline the difficulties of assigning etiological relevance to pathogen detections in stool samples in high endemic settings. Further research is desired to support the diagnostic discrimination of etiologically relevant pathogen detections from the identification of harmlessly colonizing bystanders not requiring therapeutic intervention under such circumstances.

Supporting information

S1 Data. Anonymized raw data used for this manuscript.

https://doi.org/10.1371/journal.pone.0305469.s001

(XLSX)

Acknowledgments

We are grateful to all the children who participated in this study and to their parents or guardians who consented to take part. Also thank you to the personnel at the Korogwe District Hospital. Without their efforts this research study would not have been possible.

References

  1. 1. Mbaka GO, Vieira R. The burden of diarrhoeal diseases in the Democratic Republic of Congo: a time-series analysis of the global burden of disease study estimates (1990–2019) 2022 [updated 2022/05/25. 1043]. Available from: https://ourworldindata.org/diarrheal-diseases
  2. 2. Loderstädt U, Hagen RM, Hahn A, Frickmann H. New Developments in PCR-Based Diagnostics for Bacterial Pathogens Causing Gastrointestinal Infections-A Narrative Mini-Review on Challenges in the Tropics. Trop Med Infect Dis. 2021;6(2). pmid:34199650
  3. 3. Andersson M, Kabayiza JC, Elfving K, Nilsson S, Msellem MI, Mårtensson A, et al. Coinfection with Enteric Pathogens in East African Children with Acute Gastroenteritis-Associations and Interpretations. Am J Trop Med Hyg. 2018;98(6):1566–70. pmid:29692296
  4. 4. Moyo SJ, Kommedal Ø, Blomberg B, Hanevik K, Tellevik MG, Maselle SY, et al. Comprehensive Analysis of Prevalence, Epidemiologic Characteristics, and Clinical Characteristics of Monoinfection and Coinfection in Diarrheal Diseases in Children in Tanzania. Am J Epidemiol. 2017;186(9):1074–83. pmid:28541454
  5. 5. Moyo SJ, Gro N, Matee MI, Kitundu J, Myrmel H, Mylvaganam H, et al. Age specific aetiological agents of diarrhoea in hospitalized children aged less than five years in Dar es Salaam, Tanzania. BMC Pediatr. 2011;11:19. pmid:21345186
  6. 6. Fleece ME, Nshama R, Walongo T, Kimathi C, Gratz J, Rogawski McQuade ET, et al. Longitudinal Assessment of Antibiotic Resistance in Fecal Escherichia coli in Tanzanian Children. Am J Trop Med Hyg. 2019;100(5):1110–4. pmid:30834886
  7. 7. Subbiah M, Caudell MA, Mair C, Davis MA, Matthews L, Quinlan RJ, et al. Antimicrobial resistant enteric bacteria are widely distributed amongst people, animals and the environment in Tanzania. Nat Commun. 2020;11(1):228. pmid:31932601
  8. 8. Mohan VR, Karthikeyan R, Babji S, McGrath M, Shrestha S, Shrestha J, et al. Rotavirus Infection and Disease in a Multisite Birth Cohort: Results From the MAL-ED Study. J Infect Dis. 2017;216(3):305–16. pmid:28472348
  9. 9. Rouhani S, Peñataro Yori P, Paredes Olortegui M, Siguas Salas M, Rengifo Trigoso D, Mondal D, et al. Norovirus Infection and Acquired Immunity in 8 Countries: Results From the MAL-ED Study. Clin Infect Dis. 2016;62(10):1210–7. pmid:27013692
  10. 10. Schotte U, Hoffmann T, Schwarz NG, Rojak S, Lusingu J, Minja D, et al. Study of enteric pathogens among children in the tropics and effects of prolonged storage of stool samples. Lett Appl Microbiol. 2021;72(6):774–82. pmid:33544912
  11. 11. Lalani T, Tisdale MD, Maguire JD, Wongsrichanalai C, Riddle MS, Tribble DR. Detection of enteropathogens associated with travelers’ diarrhea using a multiplex Luminex-based assay performed on stool samples smeared on Whatman FTA Elute cards. Diagn Microbiol Infect Dis. 2015;83(1):18–20. pmid:26072151
  12. 12. Petrov A, Schotte U, Pietschmann J, Dräger C, Beer M, Anheyer-Behmenburg H, et al. Alternative sampling strategies for passive classical and African swine fever surveillance in wild boar. Vet Microbiol. 2014;173(3–4):360–5. pmid:25179470
  13. 13. Hahn A, Luetgehetmann M, Landt O, Schwarz NG, Frickmann H. Comparison of one commercial and two in-house TaqMan multiplex real-time PCR assays for detection of enteropathogenic, enterotoxigenic and enteroaggregative Escherichia coli. Trop Med Int Health. 2017;22(11):1371–6. pmid:28906580
  14. 14. Wiemer D, Loderstaedt U, von Wulffen H, Priesnitz S, Fischer M, Tannich E, et al. Real-time multiplex PCR for simultaneous detection of Campylobacter jejuni, Salmonella, Shigella and Yersinia species in fecal samples. Int J Med Microbiol. 2011;301(7):577–84. pmid:21855409
  15. 15. Köller T, Hahn A, Altangerel E, Verweij JJ, Landt O, Kann S, et al. Comparison of commercial and in-house real-time PCR platforms for 15 parasites and microsporidia in human stool samples without a gold standard. Acta Trop. 2020;207:105516. pmid:32371221
  16. 16. Anheyer-Behmenburg HE, Szabo K, Schotte U, Binder A, Klein G, Johne R. Hepatitis E Virus in Wild Boars and Spillover Infection in Red and Roe Deer, Germany, 2013–2015. Emerg Infect Dis. 2017;23(1):130–3. pmid:27983488
  17. 17. Jothikumar N, Cromeans TL, Robertson BH, Meng XJ, Hill VR. A broadly reactive one-step real-time RT-PCR assay for rapid and sensitive detection of hepatitis E virus. J Virol Methods. 2006;131(1):65–71. pmid:16125257
  18. 18. Gosselin KB, Aboud S, McDonald CM, Moyo S, Khavari N, Manji K, et al. Etiology of Diarrhea, Nutritional Outcomes, and Novel Intestinal Biomarkers in Tanzanian Infants. J Pediatr Gastroenterol Nutr. 2017;64(1):104–8. pmid:27347720
  19. 19. Komba EV, Mdegela RH, Msoffe PL, Nielsen LN, Ingmer H. Prevalence, Antimicrobial Resistance and Risk Factors for Thermophilic Campylobacter Infections in Symptomatic and Asymptomatic Humans in Tanzania. Zoonoses Public Health. 2015;62(7):557–68. pmid:25753615
  20. 20. Parsons MB, Travis D, Lonsdorf EV, Lipende I, Roellig DM, Collins A, et al. Epidemiology and molecular characterization of Cryptosporidium spp. in humans, wild primates, and domesticated animals in the Greater Gombe Ecosystem, Tanzania. PLoS Negl Trop Dis. 2015;9(2):e0003529. pmid:25700265
  21. 21. Speich B, Marti H, Ame SM, Ali SM, Bogoch II, Utzinger J, et al. Prevalence of intestinal protozoa infection among school-aged children on Pemba Island, Tanzania, and effect of single-dose albendazole, nitazoxanide and albendazole-nitazoxanide. Parasit Vectors. 2013;6:3. pmid:23289920
  22. 22. Deere JR, Parsons MB, Lonsdorf EV, Lipende I, Kamenya S, Collins DA, et al. Entamoeba histolytica infection in humans, chimpanzees and baboons in the Greater Gombe Ecosystem, Tanzania. Parasitology. 2019;146(9):1116–22.
  23. 23. Frickmann H, Hoffmann T, Köller T, Hahn A, Podbielski A, Landt O, et al. Comparison of five commercial real-time PCRs for in-vitro diagnosis of Entamoeba histolytica, Giardia duodenalis, Cryptosporidium spp., Cyclospora cayetanensis, and Dientamoeba fragilis in human stool samples. Travel Med Infect Dis. 2021;41:102042. pmid:33812018
  24. 24. Ngogo FA, Joachim A, Abade AM, Rumisha SF, Mizinduko MM, Majigo MV. Factors associated with Salmonella infection in patients with gastrointestinal complaints seeking health care at Regional Hospital in Southern Highland of Tanzania. BMC Infect Dis. 2020;20(1):135. pmid:32050928
  25. 25. Eltantawy M, Orsel K, Schroeder A, Morona D, Mazigo HD, Kutz S, et al. Soil transmitted helminth infection in primary school children varies with ecozone in the Ngorongoro Conservation Area, Tanzania. Trop Med Health. 2021;49(1):22.
  26. 26. Andersson ME, Elfving K, Shakely D, Nilsson S, Msellem M, Trollfors B, et al. Rapid Clearance and Frequent Reinfection With Enteric Pathogens Among Children With Acute Diarrhea in Zanzibar. Clin Infect Dis. 2017;65(8):1371–7. pmid:29017253
  27. 27. Platts-Mills JA, Gratz J, Mduma E, Svensen E, Amour C, Liu J, et al. Association between stool enteropathogen quantity and disease in Tanzanian children using TaqMan array cards: a nested case-control study. Am J Trop Med Hyg. 2014;90(1):133–8. pmid:24189366
  28. 28. Krumkamp R, Sarpong N, Schwarz NG, Adlkofer J, Loag W, Eibach D, et al. Gastrointestinal infections and diarrheal disease in Ghanaian infants and children: an outpatient case-control study. PLoS Negl Trop Dis. 2015;9(3):e0003568. pmid:25738935
  29. 29. Tisdale MD, Tribble DR, Mitra I, Telu K, Kuo H-C, Fraser JA, et al. TaqMan Array Card testing of participant-collected stool smears to determine the pathogen-specific epidemiology of travellers’ diarrhoea†. J Travel Med. 2022;29(1):taab138. pmid:34494100