@article{10.11648/j.ijdsa.20210706.14,
  author = {Peter Kimani and Caroline Mugo and Henry Athiany},
  title = {Trends of Armed Conflict in Kenya from 1997 to 2021: An Exploratory Data Analysis},
  journal = {International Journal of Data Science and Analysis},
  volume = {7},
  number = {6},
  pages = {161-171},
  doi = {10.11648/j.ijdsa.20210706.14},
  url = {https://doi.org/10.11648/j.ijdsa.20210706.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20210706.14},
  abstract = {Armed conflict patterns have drastically changed since the post-cold war period. In Sub-Saharan Africa, armed conflict continues to be persistent and on the rise. Kenya has not experienced civil war, but has experienced intra-state conflicts which display themselves as political, natural resources, ethnicity, land, and environmental conflicts. This study aimed to identify patterns and trends of armed conflict in Kenya. Secondary data from Armed Conflict and Location Events Data (ACLED) for the period 15th January 1997 to 25th February 2021 was used. Exploratory data analysis and generalized additive model were used to identify patterns and trends. For the period studied, 7,437-armed conflict events and 11,071 fatalities were recorded. There was a non-linear trend and a general increase in the number of armed conflict cases in Kenya. The peaks in the non-linear trend were observed during the years 2002, 2007, 2013 and 2017. On the contrary, the number of fatalities from armed conflict decreased over time and had a non-linear trend, with peaks in the years 1998, 2001, 2007, 2013 and, 2017. Similarly, there was a reduction in the number of fatalities per armed conflict over time with 149 fatalities per 100-armed conflict events recorded in the study period. Linear and non-linear trend of armed conflict events was observed at the county levels, with counties like Nairobi and Nakuru having a non-linear trend similar to the overall trend. The number of events of armed conflict for riots and protests event type had a non-linear trend while the rest had a linear trend with a positive slope. Violence Against Civilians (VAC) event type had the highest number of events followed by Riots and Protests. Additionally, VAC had the highest number of fatalities followed by Battles and Riots. In terms of fatalities per armed conflict, Explosions/Remote violence event type had the highest fatality rate followed by Battles and VAC. The peaks in the number of armed conflict cases and fatalities were observed in the years in which general elections were conducted in Kenya.},
 year = {2021}
}

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TY  - JOUR
T1  - Trends of Armed Conflict in Kenya from 1997 to 2021: An Exploratory Data Analysis
AU  - Peter Kimani
AU  - Caroline Mugo
AU  - Henry Athiany
Y1  - 2021/12/02
PY  - 2021
N1  - https://doi.org/10.11648/j.ijdsa.20210706.14
DO  - 10.11648/j.ijdsa.20210706.14
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 161
EP  - 171
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20210706.14
AB  - Armed conflict patterns have drastically changed since the post-cold war period. In Sub-Saharan Africa, armed conflict continues to be persistent and on the rise. Kenya has not experienced civil war, but has experienced intra-state conflicts which display themselves as political, natural resources, ethnicity, land, and environmental conflicts. This study aimed to identify patterns and trends of armed conflict in Kenya. Secondary data from Armed Conflict and Location Events Data (ACLED) for the period 15th January 1997 to 25th February 2021 was used. Exploratory data analysis and generalized additive model were used to identify patterns and trends. For the period studied, 7,437-armed conflict events and 11,071 fatalities were recorded. There was a non-linear trend and a general increase in the number of armed conflict cases in Kenya. The peaks in the non-linear trend were observed during the years 2002, 2007, 2013 and 2017. On the contrary, the number of fatalities from armed conflict decreased over time and had a non-linear trend, with peaks in the years 1998, 2001, 2007, 2013 and, 2017. Similarly, there was a reduction in the number of fatalities per armed conflict over time with 149 fatalities per 100-armed conflict events recorded in the study period. Linear and non-linear trend of armed conflict events was observed at the county levels, with counties like Nairobi and Nakuru having a non-linear trend similar to the overall trend. The number of events of armed conflict for riots and protests event type had a non-linear trend while the rest had a linear trend with a positive slope. Violence Against Civilians (VAC) event type had the highest number of events followed by Riots and Protests. Additionally, VAC had the highest number of fatalities followed by Battles and Riots. In terms of fatalities per armed conflict, Explosions/Remote violence event type had the highest fatality rate followed by Battles and VAC. The peaks in the number of armed conflict cases and fatalities were observed in the years in which general elections were conducted in Kenya.
VL  - 7
IS  - 6
ER  - 

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