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Spatio-temporal distribution and hotspots of Plasmodium knowlesi infections in Sarawak, Malaysian Borneo
by
Masron, Tarmiji
, Singh, Balbir
, Mohamad, Dayang Shuaisah Awang
, Yunos, Nur Emyliana
, Rosli, Nawal
, Divis, Paul Cliff Simon
, Sharkawi, Hamidi Mohamad
, Hii, King Ching
, Hu, Ting Huey
in
631/326/417
/ 692/700/478/174
/ Adolescent
/ Adult
/ Animals
/ Borneo
/ Disease control
/ Disease hot spots
/ Disease transmission
/ Distribution patterns
/ Geographic information systems
/ Humanities and Social Sciences
/ Humans
/ Infections
/ Macaca fascicularis
/ Malaria
/ Malaria - epidemiology
/ Malaysia - epidemiology
/ Male
/ Middle Aged
/ multidisciplinary
/ Plasmodium knowlesi
/ Public health
/ Remote sensing
/ Residential areas
/ Science
/ Science (multidisciplinary)
/ Spatial distribution
/ Subpopulations
/ Temporal distribution
/ Vector-borne diseases
/ Young Adult
/ Zoonoses
2022
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Spatio-temporal distribution and hotspots of Plasmodium knowlesi infections in Sarawak, Malaysian Borneo
by
Masron, Tarmiji
, Singh, Balbir
, Mohamad, Dayang Shuaisah Awang
, Yunos, Nur Emyliana
, Rosli, Nawal
, Divis, Paul Cliff Simon
, Sharkawi, Hamidi Mohamad
, Hii, King Ching
, Hu, Ting Huey
in
631/326/417
/ 692/700/478/174
/ Adolescent
/ Adult
/ Animals
/ Borneo
/ Disease control
/ Disease hot spots
/ Disease transmission
/ Distribution patterns
/ Geographic information systems
/ Humanities and Social Sciences
/ Humans
/ Infections
/ Macaca fascicularis
/ Malaria
/ Malaria - epidemiology
/ Malaysia - epidemiology
/ Male
/ Middle Aged
/ multidisciplinary
/ Plasmodium knowlesi
/ Public health
/ Remote sensing
/ Residential areas
/ Science
/ Science (multidisciplinary)
/ Spatial distribution
/ Subpopulations
/ Temporal distribution
/ Vector-borne diseases
/ Young Adult
/ Zoonoses
2022
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Spatio-temporal distribution and hotspots of Plasmodium knowlesi infections in Sarawak, Malaysian Borneo
by
Masron, Tarmiji
, Singh, Balbir
, Mohamad, Dayang Shuaisah Awang
, Yunos, Nur Emyliana
, Rosli, Nawal
, Divis, Paul Cliff Simon
, Sharkawi, Hamidi Mohamad
, Hii, King Ching
, Hu, Ting Huey
in
631/326/417
/ 692/700/478/174
/ Adolescent
/ Adult
/ Animals
/ Borneo
/ Disease control
/ Disease hot spots
/ Disease transmission
/ Distribution patterns
/ Geographic information systems
/ Humanities and Social Sciences
/ Humans
/ Infections
/ Macaca fascicularis
/ Malaria
/ Malaria - epidemiology
/ Malaysia - epidemiology
/ Male
/ Middle Aged
/ multidisciplinary
/ Plasmodium knowlesi
/ Public health
/ Remote sensing
/ Residential areas
/ Science
/ Science (multidisciplinary)
/ Spatial distribution
/ Subpopulations
/ Temporal distribution
/ Vector-borne diseases
/ Young Adult
/ Zoonoses
2022
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Spatio-temporal distribution and hotspots of Plasmodium knowlesi infections in Sarawak, Malaysian Borneo
Journal Article
Spatio-temporal distribution and hotspots of Plasmodium knowlesi infections in Sarawak, Malaysian Borneo
2022
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Overview
Plasmodium knowlesi
infections in Malaysia are a new threat to public health and to the national efforts on malaria elimination. In the Kapit division of Sarawak, Malaysian Borneo, two divergent
P. knowlesi
subpopulations (termed Cluster 1 and Cluster 2) infect humans and are associated with long-tailed macaque and pig-tailed macaque hosts, respectively. It has been suggested that forest-associated activities and environmental modifications trigger the increasing number of knowlesi malaria cases. Since there is a steady increase of
P. knowlesi
infections over the past decades in Sarawak, particularly in the Kapit division, we aimed to identify hotspots of knowlesi malaria cases and their association with forest activities at a geographical scale using the Geographic Information System (GIS) tool. A total of 1064
P. knowlesi
infections from 2014 to 2019 in the Kapit and Song districts of the Kapit division were studied. Overall demographic data showed that males and those aged between 18 and 64 years old were the most frequently infected (64%), and 35% of infections involved farming activities. Thirty-nine percent of Cluster 1 infections were mainly related to farming surrounding residential areas while 40% of Cluster 2 infections were associated with activities in the deep forest. Average Nearest Neighbour (ANN) analysis showed that humans infected with both
P. knowlesi
subpopulations exhibited a clustering distribution pattern of infection. The Kernel Density Analysis (KDA) indicated that the hotspot of infections surrounding Kapit and Song towns were classified as high-risk areas for zoonotic malaria transmission. This study provides useful information for staff of the Sarawak State Vector-Borne Disease Control Programme in their efforts to control and prevent zoonotic malaria.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ Adult
/ Animals
/ Borneo
/ Geographic information systems
/ Humanities and Social Sciences
/ Humans
/ Malaria
/ Male
/ Science
/ Zoonoses
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