@article{fdi:010046059,
  title = {{S}patio-temporal variability of {NDVI}-precipitation over southernmost {S}outh {A}merica : possible linkages between climate signals and epidemics},
  author = {{T}ourre, {Y}. {M}. and {J}arlan, {L}ionel and {L}acaux, {J}. {P}. and {R}otela, {C}. {H}. and {L}afaye, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{C}limate-environment variability affects the rates of incidence of vector-borne and zoonotic diseases and is possibly associated with epidemics outbreaks. {O}ver southernmost {S}outh {A}merica the joint spatio-temporal evolution of climate-environment is analyzed for the 1982-2004 period. {D}etailed mapping of normalized difference vegetation index ({NDVI}) and rainfall variability are then compared to zones with preliminary epidemiological reports. {A} significant quasi-biennial signal (2.2- to 2.4-year periods, or {QB}) for joint {NDVI}-rainfall variability is revealed. {F}rom rotated {EOF}s, dominant {NDVI} patterns are partitioned according to their lead frequencies: (1) the '{QB} group' (2.1- to 3-year periods) includes six modes over southern {B}razil, {U}ruguay, northern-central {A}rgentina (two modes), the southern {P}araguay-northern {A}rgentina border, and the {S}anta {C}ruz {P}rovince; (2) the {QB}1 (2.4- to 3-year periods) + quasi-quadrennial ({QQ}) mode over the {M}isiones {P}rovince; and (3) the {QB}2 (2.1- to 2.5-year periods) + {QQ} + inter-annual ({IA}) (3- to 7-year periods) two modes over south-eastern {A}rgentina. {M}odes within the '{QB} group' are positively correlated with global climate signals and {SST}. {T}he {U}ruguayan mode is correlated with global {ENSO} (8-month lag) whilst the southern {E}ntre-{R}ios/northern {B}uenos {A}ires provinces are correlated with central equatorial {P}acific {SST}s (3-month lag). {T}he {S}anta {C}ruz ({P}atagonia) {P}rovince is most correlated with the {P}acific {S}outh {A}merica ({PSA}) index and {SST} patterns (3-month lag) along the {A}ntarctica circumpolar current. {T}he spatial distribution of lead {NDVI} modes includes the {F}ormosa, {M}isiones, {C}haco and {B}uenos {A}ires provinces among others, known for being prone to vector-borne epidemics such as dengue fever, malaria, leishmaniasis ({A}merican cutaneous leishmaniasis or {ACL}), hantivirus, chagas and {A}rgentine hemorrhagic fever ({AHF}). {S}ome provinces also correspond to regions where lead {NDVI} {PC}s' modes are associated with high-frequency climate signals such as the quasi-biennial oscillation in northwest {A}rgentina. {T}he joint preliminary results (climate-environment-public health reports) presented here for the first time are meant: (1) to contribute to a better understanding of climate-environment-epidemics process-based and modeling studies and (2) to facilitate, in the long run, the implementation of local and regional health early warning systems ({HEWS}) over southernmost {S}outh {A}merica. {T}he latter is becoming crucial with ever-increasing migration, urban sprawl (re-emergence of dengue fever epidemics since the late 1990s), all embedded in a climate change context.},
  keywords = {climate and environment ; {NDVI} ; epidemics ; southernmost {S}outh {A}merica},
  booktitle = {},
  journal = {{E}nvironmental {R}esearch {L}etters},
  volume = {3},
  numero = {4},
  pages = {044008},
  ISSN = {1748-9326},
  year = {2008},
  DOI = {10.1088/1748-9326/3/4/044008},
  URL = {https://www.documentation.ird.fr/hor/fdi:010046059},
}