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10.1016/j.plrev.2022.02.001 http://scihub22266oqcxt.onion/10.1016/j.plrev.2022.02.001 35219611!8845267!35219611     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35219611&cmd=llinks): Failed to open stream: HTTP request failed! 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Mathematical models for dengue fever epidemiology: A 10-year systematic review |pdf=|usr=}}{{35219611}} gab.com Text Mathematical models for dengue fever epidemiology: A 10-year systematic review JO: Phys Life Rev http://www.kidney.de/pget.php?&tw=1&pmid=35219611 #FOAvip Mathematical models have a long history in epidemiological research, and as the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease spreading. Mathematical models describing dengue fever epidemiological dynamics are found back from 1970. Dengue fever is a viral mosquito-borne infection caused by four antigenically related but distinct serotypes (DENV-1 to DENV-4). With 2.5 billion people at risk of acquiring the infection, it is a major international public health concern. Although most of the cases are asymptomatic or mild, the disease immunological response is complex, with severe disease linked to the antibody-dependent enhancement (ADE) - a disease augmentation phenomenon where pre-existing antibodies to previous dengue infection do not neutralize but rather enhance the new infection. Here, we present a 10-year systematic review on mathematical models for dengue fever epidemiology. Specifically, we review multi-strain frameworks describing host-to-host and vector-host transmission models and within-host models describing viral replication and the respective immune response. Following a detailed literature search in standard scientific databases, different mathematical models in terms of their scope, analytical approach and structural form, including model validation and parameter estimation using empirical data, are described and analyzed. Aiming to identify a consensus on infectious diseases modeling aspects that can contribute to public health authorities for disease control, we revise the current understanding of epidemiological and immunological factors influencing the transmission dynamics of dengue. This review provide insights on general features to be considered to model aspects of real-world public health problems, such as the current epidemiological scenario we are living in. Twit Text FOAVip Mathematical models for dengue fever epidemiology: A 10-year systematic review ????Phys Life Rev http://www.kidney.de/pget.php?&tw=1&pmid=35219611 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35219611 #FOAvip English Wikipedia <ref>{{Cite pmid|35219611}}</ref> Mathematical models for dengue fever epidemiology: A 10-year systematic review #MMPMID35219611 Aguiar M; Anam V; Blyuss KB; Estadilla CDS; Guerrero BV; Knopoff D; Kooi BW; Srivastav AK; Steindorf V; Stollenwerk N Phys Life Rev 2022[Mar]; 40 (ä): 65-92 PMID35219611show ga Mathematical models have a long history in epidemiological research, and as the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease spreading. Mathematical models describing dengue fever epidemiological dynamics are found back from 1970. Dengue fever is a viral mosquito-borne infection caused by four antigenically related but distinct serotypes (DENV-1 to DENV-4). With 2.5 billion people at risk of acquiring the infection, it is a major international public health concern. Although most of the cases are asymptomatic or mild, the disease immunological response is complex, with severe disease linked to the antibody-dependent enhancement (ADE) - a disease augmentation phenomenon where pre-existing antibodies to previous dengue infection do not neutralize but rather enhance the new infection. Here, we present a 10-year systematic review on mathematical models for dengue fever epidemiology. Specifically, we review multi-strain frameworks describing host-to-host and vector-host transmission models and within-host models describing viral replication and the respective immune response. Following a detailed literature search in standard scientific databases, different mathematical models in terms of their scope, analytical approach and structural form, including model validation and parameter estimation using empirical data, are described and analyzed. Aiming to identify a consensus on infectious diseases modeling aspects that can contribute to public health authorities for disease control, we revise the current understanding of epidemiological and immunological factors influencing the transmission dynamics of dengue. This review provide insights on general features to be considered to model aspects of real-world public health problems, such as the current epidemiological scenario we are living in. |*COVID-19[MESH] |*Dengue Virus[MESH] |*Dengue/epidemiology[MESH] |Animals[MESH] |Antibodies, Viral[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Mosquito Vectors[MESH] |Pandemics[MESH]Mathematical models for dengue fever epidemiology: A 10-year systemati(epmc).pdf DeepDyve Pubget Overpricing