Abstract

Reported incidence of the zoonotic malaria Plasmodium knowlesi has markedly increased across Southeast Asia and threatens malaria elimination. Nonzoonotic transmission of P. knowlesi has been experimentally demonstrated, but it remains unknown whether nonzoonotic transmission is contributing to increases in P. knowlesi cases. Here, we adapt model-based inference methods to estimate RC, individual case reproductive numbers, for P. knowlesi, P. falciparum and P. vivax human cases in Malaysia from 2012–2020 (n = 32,635). Best fitting models for P. knowlesi showed subcritical transmission (RC < 1) consistent with a large reservoir of unobserved infection sources, indicating P. knowlesi remains a primarily zoonotic infection. In contrast, sustained transmission (RC > 1) was estimated historically for P. falciparum and P. vivax, with declines in RC estimates observed over time consistent with local elimination. Together, this suggests sustained nonzoonotic P. knowlesi transmission is highly unlikely and that new approaches are urgently needed to control spillover risks.

Plasmodium knowlesi is a zoonotic malaria parasite that can infect humans, but whether human-mosquito-human transmission occurs is not known. Here, the authors use data from Malaysia and show, through mathematical modelling, that sustained non-zoonotic transmission is unlikely to be occurring in this setting.

Details

Title
No evidence of sustained nonzoonotic Plasmodium knowlesi transmission in Malaysia from modelling malaria case data
Author
Fornace, Kimberly M. 1   VIAFID ORCID Logo  ; Topazian, Hillary M. 2 ; Routledge, Isobel 3 ; Asyraf, Syafie 4 ; Jelip, Jenarun 5 ; Lindblade, Kim A. 6   VIAFID ORCID Logo  ; Jeffree, Mohammad Saffree 4   VIAFID ORCID Logo  ; Ruiz Cuenca, Pablo 7 ; Bhatt, Samir 8 ; Ahmed, Kamruddin 4   VIAFID ORCID Logo  ; Ghani, Azra C. 2   VIAFID ORCID Logo  ; Drakeley, Chris 7   VIAFID ORCID Logo 

 University of Glasgow, School of Biodiversity, One Health and Veterinary Medicine, Glasgow, UK (GRID:grid.8756.c) (ISNI:0000 0001 2193 314X); National University of, Saw Swee Hock School of Public Health, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); London School of Hygiene and Tropical Medicine, Faculty of Infectious and Tropical Diseases, London, UK (GRID:grid.8991.9) (ISNI:0000 0004 0425 469X) 
 Imperial College London, MRC Centre for Global Infectious Disease Analysis, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 Imperial College London, MRC Centre for Global Infectious Disease Analysis, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); University of California, San Francisco, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811) 
 Universiti Malaysia Sabah, Faculty of Medicine and Health Sciences, Kota Kinabalu, Malaysia (GRID:grid.265727.3) (ISNI:0000 0001 0417 0814) 
 Ministry of Health Malaysia, Vector-borne Disease Control Division, Putrajaya, Malaysia (GRID:grid.415759.b) (ISNI:0000 0001 0690 5255) 
 World Health Organization, Global Malaria Programme, Geneva, Switzerland (GRID:grid.3575.4) (ISNI:0000000121633745) 
 London School of Hygiene and Tropical Medicine, Faculty of Infectious and Tropical Diseases, London, UK (GRID:grid.8991.9) (ISNI:0000 0004 0425 469X) 
 Imperial College London, MRC Centre for Global Infectious Disease Analysis, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); University of Copenhagen, Section of Epidemiology, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X) 
Pages
2945
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2821503679
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.