Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0043167 (pertussis)
 19,595 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Epidemic patterns of 12 infectious diseases based on the data derived from the surveillance system of infectious diseases in Japan are analyzed. Weekly numbers of patients per one monitor station (general clinics and hospitals) are calculated by prefecture. Based on these data, the patterns of epidemic are classified into five categories: Category 1, nationwide outbreak of short duration (rotavirus enteritis, hand-foot-mouth disease and herpangina); Category 2, nationwide outbreak of long duration (varicella); Category 3, concurrent outbreaks in several districts (rubella and erythema infectiosum); Category 4, epidemic of long duration in several prefectures at different times (measles, mumps, pertussis, streptococcal infection and atypical pneumonia); Category 5, unclear epidemic pattern (exanthema subitum).
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PMID:Epidemic patterns of infectious diseases from the results of the surveillance of infectious diseases in Japan. 336 59

The incidence of common pediatric infectious diseases has been monitored officially at sentinel medical institutions in Japan. However, the numbers of affected patients are not provided. Prescription Surveillance (PS), which infers the number of patients with influenza, varicella, and gastrointestinal infections from data related to prescriptions at external pharmacies, provides estimates to the public the following morning. This study assessed the prediction ability of the incidence of common pediatric infectious diseases from PS information using the National Database of Electronic Medical Claims (NDBEMC): the number of patients prescribed neuraminidase inhibitors, anti-herpes virus drugs, antibiotic drugs, antipyretic analgesics, and multi-ingredient cold medications. The diseases include RS virus infection, pharyngoconjunctival fever, hand, foot and mouth disease, erythema infectiosum, exanthem subitum, pertussis, herpangina, influenza, varicella, and gastrointestinal infection. For comparison, we used the estimated number of patients who were prescribed neuraminidase inhibitor in PS, which had been confirmed already for precision, and provided estimates to the general public via the internet. The discrepancy rates of all considered diseases between the reported number in NDBEMC and the predicted numbers of patients from PS were less than the value in NI counts and the coefficients of determination in the estimation were from .8109 to .9825. These predictions were sufficiently precise to provide to the general public.
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PMID:Proposition of real-time precise prediction model of infectious disease patients from Prescription Surveillance using the National Database of Electronic Medical Claims. 2632 Mar 87