{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T14:51:08Z","timestamp":1787237468710,"version":"build-2736575974"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"12","license":[{"start":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T00:00:00Z","timestamp":1675814400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["5R01AI146123"],"award-info":[{"award-number":["5R01AI146123"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,16]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Cryptosporidium spp. are responsible for significant diarrheal morbidity and mortality in under-5 children. There is no vaccine; thus, a focus on prevention is paramount. Prior studies suggest that person-to-person spread may be an important pathway for transmission to young children. Here we describe a longitudinal cohort study of 100 families with infants to determine rates of cryptosporidiosis within households during the coronavirus disease 2019 (COVID-19) pandemic.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Families living in Mirpur, Bangladesh, with 1 infant aged 6\u20138 months were enrolled and followed with weekly illness survey and stool testing for Cryptosporidium for 8 months.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>From December 2020 to August 2021, 100 families were enrolled. Forty-four percent of index children and 35% of siblings had at least 1 Cryptosporidium infection. Shedding of Cryptosporidium occurred for a mean (standard deviation) of 19 (8.3) days in index infants, 16.1 (11.6) days in children 1\u20135 years, and 16.2 (12.8) days in adults. A longer duration of Cryptosporidium shedding was associated with growth faltering in infants. There was a spike in Cryptosporidium cases in May 2021, which coincided with a spike in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases in the region.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In this intensive, longitudinal study of Cryptosporidium infection in families we found high rates of cryptosporidiosis in infants and children, and prolonged parasite shedding, especially among malnourished children. These data support that transmission within the household is an important route of exposure for young infants and that treatment of nondiarrheal infection to interrupt person-to-person transmission within the home may be essential for preventing cryptosporidiosis in infants.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/cid\/ciad059","type":"journal-article","created":{"date-parts":[[2023,2,7]],"date-time":"2023-02-07T23:11:35Z","timestamp":1675811495000},"page":"2178-2186","source":"Crossref","is-referenced-by-count":13,"title":["Prospective Cohort Study of\n                    <i>Cryptosporidium<\/i>\n                    Infection and Shedding in Infants and Their Households"],"prefix":"10.1093","volume":"76","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2008-0912","authenticated-orcid":false,"given":"Poonum","family":"Korpe","sequence":"first","affiliation":[{"name":"Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland , 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