Multisite study of cryptosporidiosis in children with diarrhea in India.
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ABSTRACT:
SUBMITTER: Ajjampur SS
PROVIDER: S-EPMC2884513 | biostudies-literature | 2010 Jun
REPOSITORIES: biostudies-literature
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Multisite study of cryptosporidiosis in children with diarrhea in India.
Ajjampur Sitara Swarna Rao SS Liakath Farzana Begum FB Kannan Arun A Rajendran Priya P Sarkar Rajiv R Moses Prabhakar Devarajan PD Simon Anna A Agarwal Indira I Mathew Ann A O'Connor Roberta R Ward Honorine H Kang Gagandeep G
Journal of clinical microbiology 20100414 6
Cryptosporidium spp., a common cause of diarrhea in children, were investigated in the first multisite study in India. Diarrheal stools from hospitalized children aged <5 years from Delhi, Trichy, and Vellore were analyzed by microscopy, PCR-restriction fragment length polymorphism (RFLP), and/or sequencing at the small-subunit (SSU) rRNA and Cpgp40/15 loci for species determination and subgenotyping, respectively. Seventy of 2,579 (2.7%) children, 75% of whom were <2 years old, had cryptosporid ...[more]
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Project description:BACKGROUND:The evidence on the factors associated with childhood bloody diarrhea in developing countries in general and India, in particular, is somewhat limited. Our study, therefore, examines-the prevalence of bloody diarrhea; the magnitude of treatment of bloody diarrhea (use of both oral rehydration and antibiotics (pills, syrups, and injections)); and several other associated factors with bloody diarrhea in the youngest children under five years in the Indian context. METHODS:We used data from the National Family Health Survey (NFHS)-4 conducted in 2015-16. We used a multivariable binary logistic regression model to identify the factors associated with bloody diarrhea. We also applied a multinomial logistic regression model to identify associated factors with the treatment of bloody diarrhea amongst the youngest children below five years. FINDINGS:The overall prevalence of bloody diarrhea in the youngest children was about 9 percent in the last two weeks preceding the survey. There was a significant difference in the mean age of those children having bloody diarrhea and watery diarrhea during the same period. Children whose stools were disposed of unsafely and those who belonged to households with neither a place nor water for washing hands were more likely to suffer from bloody diarrhea compared to their counterparts with these facilities. About a little less than one-fifth of the youngest children (16%) received adequate treatment of bloody diarrhea. The treatment of bloody diarrhea was associated with the health facility and maternal and children's socioeconomic and demographic characteristics. CONCLUSION:The study shows that household environmental risk factors are important predictors of bloody diarrhea amongst the youngest children. Still, 28% of those children did not receive any treatment of bloody diarrhea in India. There is also a clear need to promote the practice of safe disposal of children's stools and handwashing among mothers and children. Mothers need to be sensitized about the necessity of an immediate visit to a health facility/center in case of bloody diarrhea.
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Project description:BackgroundThe effects of weather on diarrhea could influence the health impacts of climate change. Children have the highest diarrhea incidence, especially in India, where many lack safe water and sanitation.ObjectivesIn a prospective cohort of 1,284 children under 5 y of age from 900 households across 25 villages in rural Tamil Nadu, India, we examined whether high temperature and heavy rainfall was associated with increased all-cause diarrhea and water contamination.MethodsSeven-day prevalence of diarrhea was assessed monthly for up to 12 visits from January 2008 to April 2009, and hydrogen sulfide ([Formula: see text]) presence in drinking water, a fecal contamination indicator, was tested in a subset of households. We estimated associations between temperature and rainfall exposures and diarrhea and [Formula: see text] using binomial regressions, adjusting for potential confounders, random effects for village, and autoregressive-1 error terms for study week.ResultsThere were 259 cases of diarrhea. The prevalence of diarrhea during the 7 d before visits was 2.95 times higher (95% CI: 1.99, 4.39) when mean temperature in the week before the 7-d recall was in the hottest versus the coolest quartile of weekly mean temperature during 1 December 2007 to 15 April 2009. Diarrhea prevalence was 1.50 times higher when the 3 weeks before the diarrhea recall period included [Formula: see text] (vs. 0 d) with rainfall of [Formula: see text] (95% CI: 1.12, 2.02), and 2.60 times higher (95% CI: 1.55, 4.36) for heavy rain weeks following a 60-d dry period. The [Formula: see text] prevalence in household water was not associated with heavy rain prior to sample collection.ConclusionsThe results suggest that, in rural Tamil Nadu, heavy rainfall may wash pathogens that accumulate during dry weather into child contact. Higher temperatures were positively associated with diarrhea 1-3 weeks later. Our findings suggest that diarrhea morbidity could worsen under climate change without interventions to reduce enteric pathogen transmission through multiple pathways. https://doi.org/10.1289/EHP3711.
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Project description:BackgroundInfluenza surveillance is important to identify circulating, emerging/reemerging strains and unusual epidemiological trends. With these objectives, a multisite human influenza surveillance network was initiated in India in 2004.MethodsEpidemiologic data and throat swabs for laboratory testing were collected from patients with influenza-like illness (ILI) and severe acute respiratory infections (SARI). Virus isolation was carried out in Madin-Darby canine kidney cells and strains identified by hemagglutination inhibition assay. Meteorological data were collected.ResultsFrom September 2004 to December 2008, 617 (4·43%) of 13928 cases yielded isolates: 27·8% were influenza A(H1N1), 29·8% were type A(H3N2), and 42·3% were type B. The yearly type and subtype distribution varied significantly from site to site. Peak influenza activity was observed from June to August in Delhi, Pune, and Kolkata and October to December in Chennai. Maximum influenza activity was seen during the rains in Delhi, Pune, Chennai, and Kolkata in correlation with virus isolations. Multivariate analysis of ILI cases showed chill/rigors, cough, fatigue, and ILI in family, correlated positively with isolation. Genetic analysis of Indian isolates revealed that viruses matched with vaccine strains by and large. Overlapping between circulating and vaccine component strains of consecutive years was also observed.ConclusionsSeasonal influenza A(H1N1), H3N2, and type B co-circulated in all regions without any particular pattern of movement of any subtype. Year-round limited influenza activity with peaks during rains was observed. Genetic drifts and varying seasonality in different parts of the country suggest that a staggered timing of vaccination may be appropriate for India.
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