TY - JOUR
T1 - Impact of droughts on child mortality
T2 - a case study in Southern African countries
AU - Khan, Mohammad Zaved Kaiser
AU - Rahman, Ataur
AU - Rahman, Mohammad Azizur
AU - Renzaho, André M.N.
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature B.V.
PY - 2021/9
Y1 - 2021/9
N2 - Natural hazards like floods and droughts affect many aspects of life. The study in particular examined the impacts of droughts on under-five mortality rate in Southern Africa, adjusting for gross domestic product (GDP) and literacy rate. Despite drought and child mortality being key public health concerns in Southern Africa over the past few decades, there have hardly been any studies examining the relationships between them. The study used publicly available data from 1980 to 2012. The Standard Precipitation Index (SPI) was calculated for 3-, 6-, 9-, and 12-monthly time scales for ten southern African countries. The wetter and drier states are represented by positive and negative SPI values, respectively. SPI, GDP, and literacy rate were considered for predicting child mortality rate using both Multiple Linear Regression techniques and nonlinear methods (Generalized Additive Model), on a leave-one-year-out cross validation approach for model evaluation. Child mortality increased as the drought worsened for five countries in this region, namely Angola, Malawi, Mozambique, Namibia, and Zambia. We found that child mortality can be predicted with a high degree of accuracy using three predictor variables—drought index, GDP and literacy rate.
AB - Natural hazards like floods and droughts affect many aspects of life. The study in particular examined the impacts of droughts on under-five mortality rate in Southern Africa, adjusting for gross domestic product (GDP) and literacy rate. Despite drought and child mortality being key public health concerns in Southern Africa over the past few decades, there have hardly been any studies examining the relationships between them. The study used publicly available data from 1980 to 2012. The Standard Precipitation Index (SPI) was calculated for 3-, 6-, 9-, and 12-monthly time scales for ten southern African countries. The wetter and drier states are represented by positive and negative SPI values, respectively. SPI, GDP, and literacy rate were considered for predicting child mortality rate using both Multiple Linear Regression techniques and nonlinear methods (Generalized Additive Model), on a leave-one-year-out cross validation approach for model evaluation. Child mortality increased as the drought worsened for five countries in this region, namely Angola, Malawi, Mozambique, Namibia, and Zambia. We found that child mortality can be predicted with a high degree of accuracy using three predictor variables—drought index, GDP and literacy rate.
KW - Child mortality
KW - Drought
KW - GDP
KW - Generalized Additive Model
KW - Literacy rate
KW - Southern Africa
KW - Standard Precipitation Index
UR - https://www.scopus.com/pages/publications/85106412191
U2 - 10.1007/s11069-021-04776-9
DO - 10.1007/s11069-021-04776-9
M3 - Article
AN - SCOPUS:85106412191
SN - 0921-030X
VL - 108
SP - 2211
EP - 2224
JO - Natural Hazards
JF - Natural Hazards
IS - 2
ER -