Genotyping and clinical factors in pediatric diarrhea caused by rotaviruses: one-year surveillance in Surabaya, Indonesia
© Sudarmo et al.; licensee Biomed Central. 2015
Received: 12 September 2014
Accepted: 31 December 2014
Published: 8 February 2015
Rotavirus infections are a major cause of diarrhea in children in both developed and developing countries. Rotavirus genetics, patient immunity, and environmental factors are thought to be related to the severity of acute diarrhea due to rotavirus in infants and young children. The objective of this study was to provide a correlation between rotavirus genotypes, clinical factors and degree of severity of acute diarrhea in children under 5 years old in Surabaya, Indonesia.
A cross-sectional study was conducted in children aged 1–60 months with acute diarrhea hospitalized in Soetomo Hospital, Surabaya, Indonesia from April to December 2013. Rotavirus in stool specimens was identified by ELISA and genotyping (G-type and P-type) using multiplex reverse transcription PCR. Severity was measured using the Ruuska and Vesikari scoring system. The clinical factors were investigated included patient’s age (months), hydration, antibiotic administration, nutritional state, co-bacterial infection and co-viral infection.
A total of 88 children met the criteria; 80.7% were aged 6–24 months, watery diarrhea was the most common type (77.3%) and 73.6% of the subjects were co-infected with bacteria, of which pathogenic Escherichia coli was the most common (42.5%). The predominant VP7 genotyping (G-type) was G2 (31.8%) and that of VP4 genotyping (P-type) was P (31.8%). The predominant rotavirus genotype was G2P (19.3%); G1P and G9P were uncommon with a prevalence of 4.5%. There were significant differences between the common genotype and uncommon genotype with respect to the total severity score of diarrhea (p <0.05). G3, G4 and G9 were significantly correlated with severe diarrhea (p = 0.009) in multivariate analyses and with frequency of diarrhea (>10 times a day) (p = 0.045) in univariate analyses, but there was no significant correlation between P typing and severity of diarrhea. For combination genotyping of G and P, G2P was significantly correlated with severe diarrhea in multivariate analyses (p = 0.029).
There is a correlation between rotavirus genotype and severity of acute diarrhea in children. Genotype G2P has the highest prevalence. G3, G4, G9 and G2P combination genotype were found to be associated with severe diarrhea.
KeywordsGenotyping Clinical factors Rotavirus diarrhea Pediatrics
Pediatric diarrhea is often fatal since this disease results in severe dehydration . There are several causes of pediatric diarrhea including bacterial or viral infectious diseases. As to the latter, several pathogens such as rotavirus, adenovirus and norovirus are reported [2-4]. Rotavirus is the most commonly isolated viral cause of severe diarrhea in infants, infecting more than 111 million pediatric patients every year and causing an estimated 440,000 deaths [4-6]. Rotavirus genetic factors, patient’s immune factors, and environmental factors are associated with the incidence and severity of acute diarrhea due to rotavirus in infants and toddlers .
Viral typing is necessary for characterizing rotavirus strains, especially focusing on different rotavirus seasons in different locations. G-typing is categorized as G1-16, the double combination of G1-16G1-16, and the triple combination G1-16G1-16G1-16 . P-typing is classified to into P1-28, the double combination of P1-28P1-28, and triple combination of P1-28P1-28P1-28 . Moreover, whole genotyping is sometimes shown as the combination of G type and P type . VP7 and VP4 proteins are the basis of the classification of group A rotaviruses by G (VP7) and P (VP4) types; G represents glycoprotein and P represents protease sensitive protein [8,9]. G1P, G2P, G3P, and G4P were the four dominant and most commonly found genotypes worldwide from 1994 to 2003 [10,11]. Generally, in human rotavirus, G1 to G4 and G9 in VP7 and P and P in VP4 are the most common types. Combined G and P typing represents a limited number of genotypes such as G2P, G3P, G4P, G9P, and G1P . Those types vary from region to region (e.g. G5 types in Brazil, G10 types in India) [12,13]. Till date 27 G genotypes, 37 P genotypes and 73 different combinations of G and P genotypes have been reported [14,15]. Putnam et al. found G9P  to be the most common genotype with a prevalence of 13.57% in 2003–2004 in Indonesia, but Soenarto et al. detected G1P as the dominant genotype (34%) in Indonesia in 2006 [16,17]. New rotavirus genotypes have been found, causing more severe diarrhea than previously identified rotavirus genotypes [18-23].
Flores et al. studying the efficacy of rotavirus vaccine (RIT 4237) on diarrheal disease, formulated a scoring system for the severity of diarrhea in infants and toddlers with or without vaccination . The scoring system was used by Cascio et al. to assess differences in the severity of diarrhea experienced by children in Italy who were infected by rotavirus of different strains . Ruuska and Vesikari  developed the scoring system by combining more variables includes episodes of vomiting in 24 hours . Its validity and reliability was verified with a significant correlation between scores and the impact of diarrheal disease on the family . Mota-Hernandez et al. utilized such scoring system to assess the severity of diarrhea in children caused by rotavirus infection with different genotypes of VP4 gene, unidentified P type (new P type) and type P . Zhang et al. also stated that rotavirus diarrhea caused by G1 was associated with higher severity scores than diarrhea caused by G3 in their study of rotavirus genotypes and disease severity . This scoring system was also used to assess the relationship between rotavirus genotypes and the severity of diarrhea in a population of children in India .
Host factors are also very important in infections. Immune status and nutrition affect host responses to bacterial and viral pathogens [29,30]. Compared to bacteria, the infectious potential of viruses in humans is comparative and the host’s defenses are essential for prevention [31,32]. Environmental issues such as drinking water, hand washing and family income also play a role in the prevention of infectious disease .
In this study, we sought the correlation between rotavirus genotypes, clinical factors and degree of severity of acute diarrhea in children under 5 years old in Surabaya, Indonesia.
For one year surveillance, the data and the stool samples were gathered from April to December 2013. A total of 220 stool specimens were collected from the inpatients diagnosed with acute diarrhea in the Department of Pediatrics, Soetomo Hospital, Surabaya, Indonesia. The stools samples were from the consecutive patients in this studied time. The children with chronic diarrheas were excluded from the study.
PCR examination was done in 88 patients who had positive immunochromatography tests for virus detection. The study was approved by the Health Research Ethics Committee of Soetomo Hospital. Research subjects were all patients hospitalized in the Gastroenterology Ward in Department of Pediatrics of Soetomo Hospital. Inclusion criteria: children between 1–60 months with positive results from rotavirus antigen examination. Patients were excluded from the study if they were treated with antibiotics, probiotics and zinc before hospitalization, or had a history of rotavirus immunization or were in an immunocompromized condition (eg. from long term steroid therapy or cytostatic agents), who refused to continue the study. All study subjects underwent a physical examination, and parents or caretakers filled out a questionnaire. Stool specimens were collected and sent to the laboratory in Institute of Tropical Disease within 24 hours for bacterial culture and rotavirus molecular biology studies.
Diagnoses of rotavirus
Primers correspond to VP7 and VP4 genes for rotavirus genotyping
Sequence (5′ – 3′)
PCR product (bp)
G-typing (VP7) first amplification
ATG TAT GGT ATT GAA TAT ACC AC
AAC TTG CCA CCA TTT TTT CC
G-typing (VP7) second amplification
CAA GTA CTC AAA TCA ATG ATG G
CAA TGA TAT TAA CAC ATT TTC TGT G
ACG AAC TCA ACA CGA GAG G
CGT TTC TGG TGA GGA GTT G
GTC ACA CCA TTT GTA AAT TCG
CTT GAT GTG ACT AYA AAT AC
P-typing (VP4) first amplification
TAT GCT CCA GTN AAT TGG
ATT GCA TTT CTT TCC ATA ATG
P-typing (VP4) second amplification
CTA TTG TTA GAG GTT AGA GTC
TGT TGA TTA GTT GGA TTC AA
TCT ACT TGG ATA ACG TGC
nt 339 –356
TGA GAC ATG CAA TTG GAC
ATC ATA GTT AGT AGT CGG
Detection of co-infection with norovirus: xTAG® GPP assay
The xTAG® Gastrointestinal Pathogen Panel (xTAG®GPP) (Luminex corporation, Austin, TX) is a qualitative multiplex PCR assay to detect simultaneously 15 different pathogens including norovirus in human stool samples. Solid stool (100-150 μg), or 100 μl of liquid stool was added to a Bertin SK38 Soil Mix Bead tube (BioAmerica Inc., Miami, FL) containing 900 μl of NucliSENS lysis buffer (bioMérieux, Durham, NC) . RNA isolation for the xTAG® GPP assay was performed on the QIAamp MinElute Virus Spin kit (Qiagen, Hilden, Germany) . A multiplex PCR was prepared by adding the xTAG GPP Primer Mix (Luminex corporation). PCR amplification cycling parameters were a reverse transcription (RT) step at 53°C for 20 min followed by an enzyme activation step at 95°C for 15 min and then 38 cycles of 95°C for 30 s, 58°C for 30 s and 72°C for 30 s, and followed by a final elongation step at 72°C for 2 min . Following the incubation of the RT-PCR products with the xTAG GPP bead mix, streptavidin-PE conjugate and xTAG reporter buffer (Luminex corporation), the mixture was allowed to hybridize in the thermocycler for 3 min at 63°C followed by 45 min at 45°C. Data acquisition and analysis was performed on the MAGPIX instrument using xPONENT 4.2 software: positive and negative results were linked to a ratio between the target median fluorescence intensity and the threshold. An internal control (bacteriophage MS2) was included in each specimen .
Detection of co-infection with bacteria
Clinical factors that were associated with the rotavirus genotyping included patient’s age (months), parents’ education, source of drinking water, duration of diarrhea before hospitalization, type of diarrhea, family income (monthly), type of milk, frequency of diarrhea, cough, fever, antibiotic administration, body temperature, nutritional state, co-bacterial infection, co-infection of upper respiratory tract infection (URTI), results of bacterial culture, and co-viral infection.
Severity of diarrhea
Parameters and Vesikari clinical scoring system
Frequency, per days
Frequency, per days
Body temperature (°C)
Statistical analysis was performed using SPSS statistics 17.0 (WinWrap® Basic, Polar Engineering and Consulting). Descriptive statistics using means, medians, standard deviation and confidence intervals were performed on all variables where appropriate. Inferential analysis was performed using the chi square and t-test.
Eighty-eight samples positive for rotavirus out of the 220 fecal samples were analyzed using immunochromatographic methods.
Overview of clinical characteristics
Duration of diarrhea (hours)
Diarrhea frequency over 24 hours (each)
Duration of vomiting (days)
Vomiting frequency over 24 hours (each)
Type of diarrhea
With URTI* (cough/cold)
Co- infection pathogens
Co-bacterial infection was seen in 64 patients (72.7%). The most prevalent bacteria was Escherichia coli (37/64, 57.8%) followed by Klebsiella (24/64, 37.5%). Co-viral infection was seen in 20 patients (22.7%) with rota + noro seen in 17 patients (85.0%) and rota + adeno + noro seen in 3 patients (15.0%).
Common and uncommon combination genotyping (G-type and P-type)
n = 42
Common genotype combination groups included 7 genotype variations and uncommon genotype groups included 25 genotype variations. G2P genotypes predominated among the common genotype groups. The highest number of uncommon genotype groups found were G1P and G9P. Twenty-five variations of uncommon genotype combinations were found in small quantities (Table 5).
Correlation of total severity score to rotavirus genotypes
Mean total score
Rotavirus typing and diarrhea
Correlation of severity of diarrhea with genotypes
G3, G4, G9
7 ( 8.0)
Correlation of severity of diarrhea with combination genotypes
0 ( 0.0)
7 ( 8.0)
8 ( 9.1)
5 ( 5.7)
G3P4, G4P4, G9P4
G3P6, G4P6, G9P6
G3P8, G4P8, G9P8
G3P9, G3P10, G4P9, G4P10, G9P9, G9P10
Correlation of G3, G4, and G9 genotypes with risk factors except for severity of diarrhea
Age >10 years
Co-infection with other virus
Co-infection with bacteria
Type of diarrhea
Frequency of diarrhea (>10 times a day)
3 ( 3.4)
8 ( 9.1)
Rotavirus infection is a common cause of pediatric acute diarrhea especially in developing countries [4-6], and the most common cause of non-bacterial gastroenteritis in children not only in developing countries but also in developed countries. The positive rate for rotavirus varies between countries and regions, and the different detection rates may be explained by different study conditions, such as the season of the year or sampling methods.
We characterized the VP7 (G genotype) and VP4 (P genotype) gene segments in this study along with patients’ backgrounds and symptoms, and then identified the most common rotavirus combinations in our study. The rotavirus genotypes identified were very diverse. Genotypic variations were classified as common and uncommon based on descriptions by Kobayashi et al. . We found genotype G2P to be the dominant genotype with an overall prevalence of 19.3% in the subjects studied. As mentioned above, G1P, G2P, G3P, and G4P were the four most common dominant genotypes in the world previously. The prevalence of each genotype was 52%, 11%, 3%, and 8% [10,11] respectively. These results differ from the studies by Sunarto et al. who found G1P genotype as the dominant genotype . Putnam et al. identified G2P as the predominant genotype in the common genotype group, followed by G1P . Assuming a similarity in identification techniques, the difference in results may indicate that genotype prevalence in circulating rotaviruses may change periodically subject to natural fluctuations as reported by Gentsch et al. It is recommended that rotavirus vaccination programs conduct surveillance on an ongoing basis, including before and after implementation of vaccination programs . Tate et al. suggested that the genotypes found to be circulating before the vaccination period should be used as a reference for the composition of the rotavirus vaccine, in order to produce vaccines with high efficacy . Monitoring of genotypic variability after rotavirus vaccination makes it possible to identify genotypes that evolve in response to the selection pressure of the vaccine to emerge as new phenotypes that are immune to older vaccines. The emergence of immune genotypes has to be watched for and accommodated in the design of the next vaccines .
In this study, 64 subjects (72.7%) were found to be co-infected with bacteria. The commonest pathogen found concomitantly with rotavirus infection was E. coli. A systematic review by Grimprel et al. drawing on 173 English language journals from 1989 to 2006 reporting research in various countries around the world stated that the co-occurrence of diarrhea pathogen in the studied populations ranged from 0.3%–45.5%, and this range may reflect local epidemiology, economic development, and hygiene conditions . A cohort study by Souza et al. in 154 children under 5 years suffering from acute diarrhea in Brazil revealed that 16.2% of rotavirus infections had co-infection with bacteria, particularly pathogenic E. coli .
Genotyping results were significantly associated with the severity of diarrhea using Vesikari symptom scores. In multivariate analyses, G3, G4 and G9 correlated significantly with severe diarrhea and frequent diarrhea and G2P showed a significant correlation with severity of diarrhea. Further examination with longer periods of surveillance should be continued to monitor trends in this disease.
We would like to emphasize the limitations of this study. First, the number of cases and the study period are not enough to draw definitive conclusions. Nonetheless, these data are of importance since the studies in eastern Indonesia are lacking despite the prevalence of this disease in this region and its standing as a social issue in Indonesia. Secondly, seasonal data on viral isolation may show the trends in the spread of pathogens. Long-term regional surveillance is needed to overcome these limitations.
The present study reports the current situation for acute diarrhea caused by rotavirus in infants or younger children in east Indonesia, Surabaya. Genotype G2P has the highest prevalence, and G3, G4 and G9 and G2P combination genotype were found to be associated with severe and frequent diarrhea. Further long-term studies as well as surveillance programs are necessary for overcoming rotaviral disease.
This work was supported by the program of the Japan Initiative for Global Research Network on Infectious Diseases (J-GRID); by the Ministry of Education, Culture, Sports, Science and Technology of Japan.
- UNICEF/WHO. Diarrhoea: Why children are still dying and what can be done. 2009.Google Scholar
- Kosek M, Bern C, Guerrant RL. The global burden of diarrhoeal disease, as estimated from studies published between 1992 and 2000. Bull World Health Organ. 2003;81(3):197–204.PubMed CentralPubMedGoogle Scholar
- Wilhelmi I, Roman E, Sanchez-Fauquier A. Viruses causing gastroenteritis. Clin Microbiol Infect. 2003;9(4):247–62.View ArticlePubMedGoogle Scholar
- Fodha I, Chouikha A, Peenze I, Beer MD, Dewar J, Geyer A, et al. Identification of viral agents causing diarrhea among children in the Eastern Center of Tunisia. J Med Virol. 2006;78(9):1198–203.View ArticlePubMedGoogle Scholar
- Parashar UD, Hummelman EG, Bresee JS, Miller MA, Glass RI. Global illness and deaths caused by rotavirus disease in children. Emerg Infect Dis. 2003;9(5):565–72.View ArticlePubMed CentralPubMedGoogle Scholar
- WHO. Diarrhoeal disease: fact sheets. 2009.Google Scholar
- Listiyaningsih E. Role of rotavirus genetic factors to severity of acute infectious diarrhea in infants and toddlers on Indonesia [Indonesian]. Jakarta: Digilib Universitas Indonesia; 2012.Google Scholar
- Kobayashi N, Ishino M, Wang Y-H, Chawla-Sarkar M, Krishnan T, Naik TN. Diversity of G-type and P-type of human and animal rotaviruses and its genetic background. Communicating Curr Res Educ Top Trends Appl Microbiol. 2007;FORMATEX:847–58.Google Scholar
- Rahman M, Matthijnssens J, Nahar S, Podder G, Sack DA, Azim T, et al. Characterization of a novel P, G11 human group A rotavirus. J Clin Microbiol. 2005;43(7):3208–12.View ArticlePubMed CentralPubMedGoogle Scholar
- Santos N, Hoshino Y. Global distribution of rotavirus serotypes/genotypes and its implication for the development and implementation of an effective rotavirus vaccine. Rev Med Virol. 2005;15(1):29–56.View ArticlePubMedGoogle Scholar
- Endara P, Trueba G, Solberg OD, Bates SJ, Ponce K, Cevallos W, et al. Symptomatic and subclinical infection with rotavirus PG9, rural Ecuador. Emerg Infect Dis. 2007;13(4):574–80.View ArticlePubMed CentralPubMedGoogle Scholar
- Carmona RC, Timenetsky Mdo C, Morillo SG, Richtzenhain LJ. Human rotavirus serotype G9, São Paulo, Brazil, 1996–2003. Emerg Infect Dis. 2006;12(6):963–8.View ArticlePubMed CentralPubMedGoogle Scholar
- Mukherjee A, Ghosh S, Bagchi P, Dutta D, Chattopadhyay S, Kobayashi N, et al. Full genomic analyses of human rotavirus G4P, G4P, G9P and G10P strains from North-eastern India: evidence for interspecies transmission and complex reassortment events. Clin Microbiol Infect. 2011;17(9):1343–6.View ArticlePubMedGoogle Scholar
- Matthijnssens J, Ciarlet M, McDonald SM, Attoui H, Bányai K, Brister JR, et al. Uniformity of rotavirus strain nomenclature proposed by the Rotavirus Classification Working Group (RCWG). Arch Virol. 2011;156(8):1397–413.View ArticlePubMed CentralPubMedGoogle Scholar
- Trojnar E, Sachsenröder J, Twardziok S, Reetz J, Otto PH, Johne R. Identification of an avian group A rotavirus containing a novel VP4 gene with a close relationship to those of mammalian rotaviruses. J Gen Virol. 2013;94(Pt 1):136–42.View ArticlePubMedGoogle Scholar
- Putnam SD, Sedyaningsih ER, Listiyaningsih E, Pulungsih SP, Komalarini Soenarto Y, et al. Group A rotavirus-associated diarrhea in children seeking treatment in Indonesia. J Clin Virol. 2007;40(4):289–94.View ArticlePubMedGoogle Scholar
- Soenarto Y, Aman AT, Bakri A, Waluya H, Firmansyah A, Kadim M, et al. Burden of severe rotavirus diarrhea in Indonesia. J Infect Dis. 2009;200(s1):S188–94.View ArticlePubMedGoogle Scholar
- Bern C, Unicomb L, Gentsch JR, Banul N, Yunus M, Sack RB, et al. Rotavirus diarrhea in Bangladeshi children: correlation of disease severity with serotypes. J Clin Microbiol. 1992;30(12):3234–8.PubMed CentralPubMedGoogle Scholar
- Cascio A, Vizzi E, Alaimo C, Arista S. Rotavirus gastroenteritis in Italian children: can severity of symptoms be related to the infecting virus? Clin Infect Dis. 2001;32(8):1126–32.View ArticlePubMedGoogle Scholar
- Iturriza-Gomara M, Isherwood B, Desselberger U, Gray J. Reassortment in vivo:driving force for diversity of human rotavirus strains isolated in the united kingdom between 1995 and 1999. J Virol. 2001;75(8):3696–705.View ArticlePubMed CentralPubMedGoogle Scholar
- Mota-Hernandez F, Jose Calva J, Gutierrez-Camacho C, Villa-Contreras S, Arias CF, Padilla-Noriega L, et al. Rotavirus diarrhea severity is related to the VP4 type in Mexican children. J Clin Microbiol. 2003;41(7):3158–62.View ArticlePubMed CentralPubMedGoogle Scholar
- Linhares AC, Verstraeten T, Bosch JW-v, Clemens R, Breuer T. Rotavirus serotype G9 is associated with more-severe disease in Latin America. Clin Infect Dis. 2006;43(3):312–4.View ArticlePubMedGoogle Scholar
- Rahman M, Sultana R, Ahmed G, Nahar S, Hassan ZM, Saiada F, et al. Prevalence of G2P and G12P rotavirus, Bangladesh. Emerg Infect Dis. 2007;13(1):18–24.View ArticlePubMed CentralPubMedGoogle Scholar
- Flores J, Gonzales M, Perez M, Cunto W, Perez-Schael I, Garcia D, et al. Protection against severe rotavirus diarrhea by rhesus rotavirus vaccine in Venezuelan infants. Lancet. 1987;1(8538):882–4.View ArticlePubMedGoogle Scholar
- Ruuska T, Vesikari T. Rotavirus disease in Finnish children: use of numerical scores for clinical severity of diarrhoeal episodes. Scand J Infect Dis. 1990;22(3):259–67.View ArticlePubMedGoogle Scholar
- Freedman SB, Eltorky M, Gorelick M. Evaluation of a gastroenteritis severity score for use in outpatient settings. Pediatrics. 2010;125(6):e1278–85.View ArticlePubMedGoogle Scholar
- Zhang LJ, Fang ZY, Zeng G, Steele D, Jiang BM, Kilgore PR. Relationship between severity of rotavirus diarrhea and serotype G and genotype. Zhonghua Shi Yan He Lin Chuang Bing Du Xue Za Zhi. 2007;21(2):144–6.PubMedGoogle Scholar
- Kang G. Rotavirus genotypes and severity of diarrheal disease. Clin Infect Dis. 2006;43(3):315–6.View ArticlePubMedGoogle Scholar
- Masrizal MA. Effects of protein-energy malnutrition on the immune system. Makara, Sains. 2003;7(2):69–73.Google Scholar
- Janssen R, Krogfelt KA, Cawthraw SA, van Pelt W, Wagenaar JA, Owen RJ. Host-pathogen interactions in campylobacter infections: the host perspective. Clin Microbiol Rev. 2008;21(3):505–18.View ArticlePubMed CentralPubMedGoogle Scholar
- Souza EC, Martinez MB, Taddei CR, Mukai L, Gilio AE, Racz ML, et al. Etiologic profile of acute diarrhea in children in São Paulo. J Pediatr (Rio J). 2002;78(1):31–8.View ArticleGoogle Scholar
- Grimprel E, Rodrigo C, Desselberger U. Rotavirus disease. Pediatr Infect Dis J. 2008;27(Supplement):S3–10.View ArticleGoogle Scholar
- Wagstaff A, Bustreo F, Bryce J, Claeson M. WHO–World Bank Child Health. Child health: reaching the poor. Am J Public Health (N Y). 2004;94(5):726–36.View ArticleGoogle Scholar
- Murray PR, Baron EJ, Jorgensen JH, Landry ML, Pfaller MA. Manual of Clinical Microbiology. 9th ed. Washington DC: ASM Press; 2007.Google Scholar
- Manual of rotavirus detection and characterization methods, Immunization, Vaccines and Biologicals, WHO, WHO/IVB/08.17. Geneva, Switzerland; 2009.Google Scholar
- Boom R, Sol CJ, Salimans MM, Jansen CL, Wertheim-van Dillen PM, van der Noordaa J. Rapid and simple method for purification of nucleic acids. J Clin Microbiol. 1990;28(3):495–503.PubMed CentralPubMedGoogle Scholar
- Gibson KE, Schwab KJ. Detection of bacterial indicators and human and bovine enteric viruses in surface water and groundwater sources potentially impacted by animal and human wastes in lower Yakima valley, Washington. Appl Environ Microbiol. 2011;77(1):355–62.View ArticlePubMed CentralPubMedGoogle Scholar
- Freeman MM, Kerin T, Hull J, McCaustland K, Gentsch J. Enhancement of detection and quantification of rotavirus in stool using a modified real-time RT-PCR assay. J Med Virol. 2008;80(8):1489–96.View ArticlePubMedGoogle Scholar
- Navidad JF, Griswold DJ, Gradus MS, Bhattacharyya S. Evaluation of luminex xTAG gastrointestinal pathogen analyte specific reagents for high-throughput, simultaneous detection of bacteria, viruses, and parasites of clinical and public health importance. J Clin Microbiol. 2013;51(9):3018–24.View ArticlePubMed CentralPubMedGoogle Scholar
- Atlas RM. Handbook of Microbiological Media. 2nd ed. Boca Raton, Florida: CRC Press Inc.; 1997.Google Scholar
- Forbes BA, Sahm DF, Weissfeld AS. Bailey & Scott’s Diagnostic - Microbiology. 11th ed. St. Louis, Missouri: Mosby Elsevier Press; 2002.Google Scholar
- Isenberg HD. Clinical Microbiology Procedures Handbook, vol. 2. Washington DC: ASM press; 2004.Google Scholar
- Mahon CR, Manuselis G. Textbook of Diagnostic Microbiology. 2nd ed. Philadelphia, Pennsylvania: Saunders; 2000.Google Scholar
- Murray PR, Baron EJ, Jorgrnsen JH, Pfaller MA, Yoken RH. Manual of Clinical Microbiology. 8th ed. Washington DC: ASM Press; 2003.Google Scholar
- Gentsch JR, Parashar UD, Glass RI. Impact of rotavirus vaccination: the importance of monitoring strains. Future Microbiol. 2009;4(10):1231–4.View ArticlePubMedGoogle Scholar
- Tate JE, Patel MM, Cortese MM, Lopman BA, Gentsch JR, Fleming J, et al. Remaining issues and challenges for rotavirus vaccine in preventing global childhood diarrheal morbidity and mortality. Expert Rev Vaccines. 2012;11(2):211–20.View ArticlePubMedGoogle Scholar
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