%0 Book %1 Chowell201657 %A Chowell, D. %A Safan, M. %A Castillo-Chavez, C. %D 2016 %I Springer International Publishing %J Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases %K imported %P 57-70 %R http://dx.doi.org/10.1007/978-3-319-40413-4_5 %T Modeling the case of early detection of ebola virus disease %U http://dx.doi.org/10.1007/978-3-319-40413-4_5 %X The most recent Ebola outbreak inWest Africa highlighted critical weaknesses in the medical infrastructure of the affected countries, including effective diagnostics tools, sufficient isolation wards, and enough medical personnel. Here, we develop and analyze amathematical model to assess the impact of early diagnosis of pre-symptomatic individuals on the transmission dynamics of Ebola virus disease in West Africa. Our findings highlight the importance of implementing integrated control measures of early diagnosis and isolation. The mathematical analysis shows a threshold where early diagnosis of pre-symptomatic individuals, combined with a sufficient level of effective isolation, can lead to an epidemic control of Ebola virus disease. Â\copyright Springer International Publishing Switzerland 2016. %@ 9783319404134; 9783319404110

@book{Chowell201657, abstract = {The most recent Ebola outbreak inWest Africa highlighted critical weaknesses in the medical infrastructure of the affected countries, including effective diagnostics tools, sufficient isolation wards, and enough medical personnel. Here, we develop and analyze amathematical model to assess the impact of early diagnosis of pre-symptomatic individuals on the transmission dynamics of Ebola virus disease in West Africa. Our findings highlight the importance of implementing integrated control measures of early diagnosis and isolation. The mathematical analysis shows a threshold where early diagnosis of pre-symptomatic individuals, combined with a sufficient level of effective isolation, can lead to an epidemic control of Ebola virus disease. {\^A}{\copyright} Springer International Publishing Switzerland 2016.}, added-at = {2017-11-10T22:48:29.000+0100}, affiliation = {Arizona State University, Tempe, AZ, United States; Mansoura University, Mansoura, Egypt; Umm Al-Qura University, Mecca, Saudi Arabia}, author = {Chowell, D. and Safan, M. and Castillo-Chavez, C.}, author_keywords = {Early detection; Ebola virus disease; Point-of-care testing; Pre-symptomatic infection}, biburl = {https://www.bibsonomy.org/bibtex/2b24b111a33363916be682cd4a5402e84/ccchavez}, correspondence_address1 = {Chowell, D.; Arizona State UniversityUnited States; email: dchowel1@asu.edu}, date-added = {2017-11-10 21:45:26 +0000}, date-modified = {2017-11-10 21:45:26 +0000}, document_type = {Book Chapter}, doi = {http://dx.doi.org/10.1007/978-3-319-40413-4_5}, interhash = {777a0a1381e7722be13a505c7f3904e7}, intrahash = {b24b111a33363916be682cd4a5402e84}, isbn = {9783319404134; 9783319404110}, journal = {Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases}, keywords = {imported}, language = {English}, pages = {57-70}, publisher = {Springer International Publishing}, timestamp = {2017-11-10T22:48:29.000+0100}, title = {Modeling the case of early detection of ebola virus disease}, url = {http://dx.doi.org/10.1007/978-3-319-40413-4_5}, year = 2016 }