scholarly journals Admixture in Humans of Two Divergent Plasmodium knowlesi Populations Associated with Different Macaque Host Species

2015 ◽  
Vol 11 (5) ◽  
pp. e1004888 ◽  
Author(s):  
Paul C. S. Divis ◽  
Balbir Singh ◽  
Fread Anderios ◽  
Shamilah Hisam ◽  
Asmad Matusop ◽  
...  
Parasitology ◽  
2017 ◽  
Vol 145 (1) ◽  
pp. 101-110 ◽  
Author(s):  
LAITH YAKOB ◽  
ALUN L. LLOYD ◽  
ROWLAND R. KAO ◽  
HEATHER M. FERGUSON ◽  
PATRICK M. BROCK ◽  
...  

SUMMARYPlasmodium knowlesi is increasingly recognized as a major cause of malaria in Southeast Asia. Anopheles leucosphyrous group mosquitoes transmit the parasite and natural hosts include long-tailed and pig-tailed macaques. Despite early laboratory experiments demonstrating successful passage of infection between humans, the true role that humans play in P. knowlesi epidemiology remains unclear. The threat posed by its introduction into immunologically naïve populations is unknown despite being a public health priority for this region. A two-host species mathematical model was constructed to analyse this threat. Global sensitivity analysis using Monte Carlo methods highlighted the biological processes of greatest influence to transmission. These included parameters known to be influential in classic mosquito-borne disease models (e.g. vector longevity); however, interesting ecological components that are specific to this system were also highlighted: while local vectors likely have intrinsic preferences for certain host species, how plastic these preferences are, and how this is shaped by local conditions, are key determinants of parasite transmission potential. Invasion analysis demonstrates that this behavioural plasticity can qualitatively impact the probability of an epidemic sparked by imported infection. Identifying key vector sub/species and studying their biting behaviours constitute important next steps before models can better assist in strategizing disease control.


2019 ◽  
Vol 47 (1) ◽  
pp. 149-160
Author(s):  
E Latkowska ◽  
J. Bialczyk ◽  
M Węgrzyn ◽  
U. Erychleb

2020 ◽  
Vol 27 (1) ◽  
pp. 30-35
Author(s):  
Sue-Jeong Jin ◽  
Jin-Won Lee ◽  
Jeong-Chil Yoo
Keyword(s):  

2019 ◽  
Vol 69 (10) ◽  
pp. 1703-1711 ◽  
Author(s):  
Giri S Rajahram ◽  
Daniel J Cooper ◽  
Timothy William ◽  
Matthew J Grigg ◽  
Nicholas M Anstey ◽  
...  

Abstract Background Plasmodium knowlesi causes severe and fatal malaria, and incidence in Southeast Asia is increasing. Factors associated with death are not clearly defined. Methods All malaria deaths in Sabah, Malaysia, from 2015 to 2017 were identified from mandatory reporting to the Sabah Department of Health. Case notes were reviewed, and a systematic review of these and all previously reported fatal P. knowlesi cases was conducted. Case fatality rates (CFRs) during 2010–2017 were calculated using incidence data from the Sabah Department of Health. Results Six malaria deaths occurred in Sabah during 2015–2017, all from P. knowlesi. Median age was 40 (range, 23–58) years; 4 cases (67%) were male. Three (50%) had significant cardiovascular comorbidities and 1 was pregnant. Delays in administering appropriate therapy contributed to 3 (50%) deaths. An additional 26 fatal cases were included in the systematic review. Among all 32 cases, 18 (56%) were male; median age was 56 (range, 23–84) years. Cardiovascular-metabolic disease, microscopic misdiagnosis, and delay in commencing intravenous treatment were identified in 11 of 32 (34%), 26 of 29 (90%), and 11 of 31 (36%) cases, respectively. The overall CFR during 2010–2017 was 2.5/1000: 6.0/1000 for women and 1.7/1000 for men (P = .01). Independent risk factors for death included female sex (odds ratio, 2.6; P = .04), and age ≥45 years (odds ratio, 4.7; P < .01). Conclusions Earlier presentation, more rapid diagnosis, and administration of intravenous artesunate may avoid fatal outcomes, particularly in females, older adults, and patients with cardiovascular comorbidities.


Author(s):  
Sri Riyati Sugiarto ◽  
Balbir Singh ◽  
Madhu Page‐Sharp ◽  
Wendy A. Davis ◽  
Sam Salman ◽  
...  

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