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Cryptosporidium infection and associated risk factors among children from rural areas in Peru: a nested case-control
Jose Luis Paredes1, Rafaella Navarro1, David Durand1
1Instituto de Medicina Tropical "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru.
Insights
Cryptosporidium infection affects 18% of infants in rural Peru. Maternal education below secondary level and more siblings at home are significant risk factors for this parasitic infection.
Area of Science:
- Pediatric infectious diseases
- Parasitology
- Public health in developing nations
Background:
- Cryptosporidium is a significant cause of diarrheal disease in children globally.
- Limited data exists on the prevalence and risk factors of Cryptosporidium infection in rural Peruvian infants.
Purpose of the Study:
- To determine the frequency of Cryptosporidium infection in Peruvian infants.
- To identify associated risk factors for infection in this population.
Main Methods:
- A 6-month prospective cohort study was conducted in two rural Peruvian communities.
- Fecal samples from 72 infants (6-13 months) were tested for Cryptosporidium using an immunochromatography test.
- Logistic regression analysis identified risk factors associated with infection.
Main Results:
- The overall frequency of Cryptosporidium infection was 18% (13 out of 72 infants).
- Maternal education below secondary level was strongly associated with infection (OR 7.62).
- Having more siblings living in the household also increased the risk (OR 1.71).
Conclusions:
- Cryptosporidium infection presents a notable public health concern among infants in rural Peru.
- Interventions targeting maternal education and household crowding may help reduce infection rates.
- Further research is essential to fully understand the burden and transmission dynamics of Cryptosporidium in Peru.
Abstract:
This study aimed to detect the frequency of Cryptosporidium infection and associated risk factors among children from rural areas in Peru. A case-control study was conducted, nested in a cohort in two rural communities that included children between 6 and 13 months who were followed for 6 months. Cases were children whose fecal samples tested positive for Cryptosporidium infection using an immunochromatography test. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to analyze risk factors associated with Cryptosporidium infection. Among 72 children, 13 (18%) were cases. Cryptosporidium infection was associated with below secondary education of the mother (OR 7.62, 95% CI 1.50-36.72) and with having more siblings living at home (OR 1.71, 95% CI 1.04-2.82). An important frequency of Cryptosporidium infection among children from rural areas in Peru was reported, more research is needed to understand its true burden and risk factors among children in Peru.
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