TY - JOUR
T1 - Malaria incidences in South Africa linked to a climate mode in southwestern Indian Ocean
AU - Behera, Swadhin K.
AU - Morioka, Yushi
AU - Ikeda, Takayoshi
AU - Doi, Takeshi
AU - Ratnam, Jayanthi V.
AU - Nonaka, Masami
AU - Tsuzuki, Ataru
AU - Imai, Chisato
AU - Kim, Yoonhee
AU - Hashizume, Masahiro
AU - Iwami, Shingo
AU - Kruger, Philip
AU - Maharaj, Rajendra
AU - Sweijd, Neville
AU - Minakawa, Noboru
N1 - Funding Information:
We are thankful to two reviewers for their valuable comments that helped us to improve the quality of the manuscript. We also appreciate the feedbacks from Prof. Angela Mathee, Drs. Patric Moonasar, Jayashree Raman and Caradee Wright. This research was carried out for the iDEWS project supported by SATREPS Program of JICA/AMED in Japan and ACCESS (NRF/DST) in South Africa. An ethical approval to participate in the project is obtained from the Medical Research Council of South Africa. This research is (partially) supported by the Japan Agency for Medical Research and Development, AMED. Analyses were done using GNU Public License software GrADS. Data except for the medical data used in the study are mostly in the public domain and could be made available on request.
Funding Information:
We are thankful to two reviewers for their valuable comments that helped us to improve the quality of the manuscript. We also appreciate the feedbacks from Prof. Angela Mathee, Drs. Patric Moonasar, Jayashree Raman and Caradee Wright. This research was carried out for the iDEWS project supported by SATREPS Program of JICA/AMED in Japan and ACCESS (NRF/DST) in South Africa . An ethical approval to participate in the project is obtained from the Medical Research Council of South Africa. This research is (partially) supported by the Japan Agency for Medical Research and Development, AMED . Analyses were done using GNU Public License software GrADS. Data except for the medical data used in the study are mostly in the public domain and could be made available on request.
PY - 2018/9
Y1 - 2018/9
N2 - Millions of individuals are at risk of malaria infection in sub-Saharan Africa. Compared to other highly affected countries on the continent, South Africa has an excellent record of malaria control. Nevertheless, the northeastern districts of the country, neighboring some of the worst malaria affected regions in southern Africa, still experience seasonal malaria outbreaks particularly during the summer months of September-February. The year to year variations of the malaria outbreaks in southern Africa, as in many other parts of the world, are often linked to interannual variations in rainfall and temperature. These meteorological factors in turn are seen to be associated with large-scale climate phenomena such as El Niño/La Niña. Here, we present evidence of a new mode of climate variation in the Indian Ocean that could explain the interannual variation of malaria incidences in South Africa. This phenomenon appeared as a dipolar association in the sea surface temperature (SST) anomalies of southwestern Indian Ocean. Both poles of the dipole strongly correlated with the malaria incidence index of Vhembe district, one of South Africa's highest malaria-affected districts. The identified correlations were stronger than those found with other climate phenomena such as El Niño/La Niña and Indian Ocean Dipole. A decadal shift in the SST dipole pattern was also observed, and the associated decrease in seasonal rainfall could partly explain the recent reduction in malaria cases.
AB - Millions of individuals are at risk of malaria infection in sub-Saharan Africa. Compared to other highly affected countries on the continent, South Africa has an excellent record of malaria control. Nevertheless, the northeastern districts of the country, neighboring some of the worst malaria affected regions in southern Africa, still experience seasonal malaria outbreaks particularly during the summer months of September-February. The year to year variations of the malaria outbreaks in southern Africa, as in many other parts of the world, are often linked to interannual variations in rainfall and temperature. These meteorological factors in turn are seen to be associated with large-scale climate phenomena such as El Niño/La Niña. Here, we present evidence of a new mode of climate variation in the Indian Ocean that could explain the interannual variation of malaria incidences in South Africa. This phenomenon appeared as a dipolar association in the sea surface temperature (SST) anomalies of southwestern Indian Ocean. Both poles of the dipole strongly correlated with the malaria incidence index of Vhembe district, one of South Africa's highest malaria-affected districts. The identified correlations were stronger than those found with other climate phenomena such as El Niño/La Niña and Indian Ocean Dipole. A decadal shift in the SST dipole pattern was also observed, and the associated decrease in seasonal rainfall could partly explain the recent reduction in malaria cases.
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U2 - 10.1016/j.envdev.2018.07.002
DO - 10.1016/j.envdev.2018.07.002
M3 - Article
AN - SCOPUS:85049595433
SN - 2211-4645
VL - 27
SP - 47
EP - 57
JO - Environmental Development
JF - Environmental Development
ER -