Modeling Control Strategies of Respiratory Pathogens
Effectively controlling infectious diseases requires quantitative comparisons of quarantine, infection control precautions, case identification and isolation, and immunization interventions. We used contact network epidemiology to predict the effect of various control policies for a mildly contagiou...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Centers for Disease Control and Prevention
2005-08-01
|
Series: | Emerging Infectious Diseases |
Subjects: | |
Online Access: | https://wwwnc.cdc.gov/eid/article/11/8/04-0449_article |
id |
doaj-6fbf6bb97cd5445dad32f197ad789aa4 |
---|---|
record_format |
Article |
spelling |
doaj-6fbf6bb97cd5445dad32f197ad789aa42020-11-25T01:04:37ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592005-08-011181249125610.3201/eid1108.040449Modeling Control Strategies of Respiratory PathogensBabak PourbohloulLauren Ancel MeyersDanuta M. SkowronskiMel KrajdenDavid M. PatrickRobert C. BrunhamEffectively controlling infectious diseases requires quantitative comparisons of quarantine, infection control precautions, case identification and isolation, and immunization interventions. We used contact network epidemiology to predict the effect of various control policies for a mildly contagious disease, such as severe acute respiratory syndrome, and a moderately contagious disease, such as smallpox. The success of an intervention depends on the transmissibility of the disease and the contact pattern between persons within a community. The model predicts that use of face masks and general vaccination will only moderately affect the spread of mildly contagious diseases. In contrast, quarantine and ring vaccination can prevent the spread of a wide spectrum of diseases. Contact network epidemiology can provide valuable quantitative input to public health decisionmaking, even before a pathogen is well characterized.https://wwwnc.cdc.gov/eid/article/11/8/04-0449_articleKeywords: epidemicimmunizationinfection controlmathematical modeloutbreakquarantine |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Babak Pourbohloul Lauren Ancel Meyers Danuta M. Skowronski Mel Krajden David M. Patrick Robert C. Brunham |
spellingShingle |
Babak Pourbohloul Lauren Ancel Meyers Danuta M. Skowronski Mel Krajden David M. Patrick Robert C. Brunham Modeling Control Strategies of Respiratory Pathogens Emerging Infectious Diseases Keywords: epidemic immunization infection control mathematical model outbreak quarantine |
author_facet |
Babak Pourbohloul Lauren Ancel Meyers Danuta M. Skowronski Mel Krajden David M. Patrick Robert C. Brunham |
author_sort |
Babak Pourbohloul |
title |
Modeling Control Strategies of Respiratory Pathogens |
title_short |
Modeling Control Strategies of Respiratory Pathogens |
title_full |
Modeling Control Strategies of Respiratory Pathogens |
title_fullStr |
Modeling Control Strategies of Respiratory Pathogens |
title_full_unstemmed |
Modeling Control Strategies of Respiratory Pathogens |
title_sort |
modeling control strategies of respiratory pathogens |
publisher |
Centers for Disease Control and Prevention |
series |
Emerging Infectious Diseases |
issn |
1080-6040 1080-6059 |
publishDate |
2005-08-01 |
description |
Effectively controlling infectious diseases requires quantitative comparisons of quarantine, infection control precautions, case identification and isolation, and immunization interventions. We used contact network epidemiology to predict the effect of various control policies for a mildly contagious disease, such as severe acute respiratory syndrome, and a moderately contagious disease, such as smallpox. The success of an intervention depends on the transmissibility of the disease and the contact pattern between persons within a community. The model predicts that use of face masks and general vaccination will only moderately affect the spread of mildly contagious diseases. In contrast, quarantine and ring vaccination can prevent the spread of a wide spectrum of diseases. Contact network epidemiology can provide valuable quantitative input to public health decisionmaking, even before a pathogen is well characterized. |
topic |
Keywords: epidemic immunization infection control mathematical model outbreak quarantine |
url |
https://wwwnc.cdc.gov/eid/article/11/8/04-0449_article |
work_keys_str_mv |
AT babakpourbohloul modelingcontrolstrategiesofrespiratorypathogens AT laurenancelmeyers modelingcontrolstrategiesofrespiratorypathogens AT danutamskowronski modelingcontrolstrategiesofrespiratorypathogens AT melkrajden modelingcontrolstrategiesofrespiratorypathogens AT davidmpatrick modelingcontrolstrategiesofrespiratorypathogens AT robertcbrunham modelingcontrolstrategiesofrespiratorypathogens |
_version_ |
1725197009579671552 |