LEADER 03815nam 22005415 450 001 9910300284703321 005 20200702084424.0 010 $a3-319-72850-4 024 7 $a10.1007/978-3-319-72850-6 035 $a(CKB)4100000002485401 035 $a(MiAaPQ)EBC5309375 035 $a(DE-He213)978-3-319-72850-6 035 $a(PPN)224640771 035 $a(EXLCZ)994100000002485401 100 $a20180222d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aClear-Cutting Disease Control$b[electronic resource] $eCapital-Led Deforestation, Public Health Austerity, and Vector-Borne Infection /$fby Rodrick Wallace, Luis Fernando Chaves, Luke R. Bergmann, Constāncia Ayres, Lenny Hogerwerf, Richard Kock, Robert G. Wallace 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (68 pages) $cillustrations 311 $a3-319-72849-0 320 $aIncludes bibliographical references at the end of each chapters. 327 $aThe Social Context of the Emergence of Vector-Borne Disease -- Modeling Vector-Borne Diseases in a Commoditized Landscape -- Modeling State Interventions -- Implications for Disease Intervention and Modeling -- Mathematical Appendix.- References. . 330 $aThe vector-borne Zika virus joins avian influenza, Ebola, and yellow fever as recent public health crises threatening pandemicity. By a combination of stochastic modeling and economic geography, this book proposes two key causes together explain the explosive spread of the worst of the vector-borne outbreaks. Ecosystems in which such pathogens are largely controlled by environmental stochasticity are being drastically streamlined by both agribusiness-led deforestation and deficits in public health and environmental sanitation. Consequently, a subset of infections that once burned out relatively quickly in local forests are now propagating across susceptible human populations whose vulnerability to infection is often exacerbated in structurally adjusted cities. The resulting outbreaks are characterized by greater global extent, duration, and momentum. As infectious diseases in an age of nation states and global health programs cannot, as much of the present modeling literature presumes, be described by interacting populations of host, vector, and pathogen alone, a series of control theory models is also introduced here. These models, useful to researchers and health officials alike, explicitly address interactions between government ministries and the pathogens they aim to control. 606 $aEpidemiology 606 $aPublic health 606 $aEpidemiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H63000 606 $aPublic Health$3https://scigraph.springernature.com/ontologies/product-market-codes/H27002 615 0$aEpidemiology. 615 0$aPublic health. 615 14$aEpidemiology. 615 24$aPublic Health. 676 $a616.9 700 $aWallace$b Rodrick$4aut$4http://id.loc.gov/vocabulary/relators/aut$0788350 702 $aChaves$b Luis Fernando$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aBergmann$b Luke R$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAyres$b Constāncia$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHogerwerf$b Lenny$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKock$b Richard$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWallace$b Robert G$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300284703321 996 $aClear-Cutting Disease Control$91923104 997 $aUNINA