Publications by authors named "L Kazazian"

Acute febrile illness (AFI) is a broad clinical syndrome with a wide range of potential infectious etiologies. The lack of accessible, standardized approaches to conducting AFI etiologic investigations has contributed to significant global gaps in data on the epidemiology of AFI. Based on lessons learned from years of supporting AFI sentinel surveillance worldwide, the U.

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Article Synopsis
  • Existing acute febrile illness (AFI) surveillance systems can be adapted to identify new diseases like COVID-19 by testing patients who show symptoms.
  • The CDC worked with health ministries in five countries (Belize, Ethiopia, Kenya, Liberia, and Peru) to integrate COVID-19 testing into their AFI systems from March 2020 to October 2021, enrolling over 5,500 patients.
  • Testing results showed varying positivity rates for SARS-CoV-2 across countries, demonstrating that AFI surveillance can effectively enhance monitoring and response to emerging infectious diseases.
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  • Crimean-Congo hemorrhagic fever (CCHF) is a serious disease found in Kazakhstan, with a previously estimated 1.2% infection rate among livestock owners in certain regions.
  • A study tested for the presence of CCHF virus in 521 sheep and 454 cattle across various villages, revealing seroprevalence rates of 5.7% in sheep and 22.5% in cattle, indicating higher risk in endemic areas.
  • The findings suggest that the areas previously identified as nonendemic still pose a risk for CCHF transmission, highlighting the need for enhanced public health measures even in these regions.
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Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) spreads rapidly amongst residents of skilled nursing facilities (SNFs). The rapid transmission dynamics and high morbidity and mortality that occur in SNFs emphasize the need for early detection of cases. We hypothesized that residents of SNFs infected with SARS-CoV-2 would demonstrate an acute change in either temperature or oxygen saturation (SpO ) prior to symptom onset.

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Objectives: The objective of the study was to characterize the timing and trends of select mitigation policies, changes in community mobility, and coronavirus disease 2019 (COVID-19) epidemiology in Australia, Japan, Hong Kong, and Singapore.

Study Design: Prospective abstraction of publicly available mitigation policies obtained from media reports and government websites.

Methods: Data analyzed include seven kinds of mitigation policies (mass gathering restrictions, international travel restrictions, passenger screening, traveler isolation/quarantine, school closures, business closures, and domestic movement restrictions) implemented between January 1 and April 26, 2020, changes in selected measures of community mobility assessed by Google Community Mobility Reports data, and COVID-19 epidemiology in Australia, Japan, Hong Kong, and Singapore.

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