Wattana Lasichanh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Wattana Lasichanh has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Adam Bennett
Malaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA
1 shared publication - Andrew A. Lover
University of Massachusetts Amherst
1 shared publication - Bouasy Hongvanthong
Laos Center of Malariology, Parasitology, and Entomology (CMPE), Vientiane 01000, Laos
1 shared publication - Emily Dantzer
Malaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco (UCSF), San Francisco, USA
1 shared publication - Francois Rerolle
Malaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA
1 shared publication - Jennifer L. Smith
Affiliations Malaria Elimination Initiative, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America
1 shared publication
Latest Publications
- Open Access
- 4 December 2024
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 21 (12) , 1624
Forest-Going as a Risk Factor for Confirmed Malaria in Champasak Province, Lao PDR: A Case-Control Study
Lao People’s Democratic Republic (Lao PDR) has made significant progress in reducing malaria in recent years. In the Greater Mekong Subregion, forest-going is often a risk factor contributing to continuing malaria transmission. This study assessed forest-going and other potential risk factors for malaria cases in Champasak Province, Lao PDR. Routine passive surveillance data from August 2017 to December 2018 were extracted from health facilities in three districts for a case-control study; at the time of presentation, all fever cases were asked to report any recent forest travel. Multivariable logistic regression was used to assess the relationship between forest-going and malaria infection while controlling for other covariates. Of 2933 fever cases with data available on forest-sleeping and malaria diagnosis from 25 health facilities, 244 (8%) tested positive (cases), and 2689 (92%) tested negative (controls). Compared with spending 0–2 nights in the forest, spending 3–7 nights in the forest was associated with 9.7 times the odds of having a malaria infection (95% CI: 4.67–20.31, p < 0.001) when adjusting for gender, occupation, and season. Forest-going, especially longer trips, is associated with increased risk for confirmed symptomatic malaria in southern Lao PDR, and appropriate and targeted intervention efforts are needed to protect this high-risk population.
- 4 December 2024
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 21 (12) , 1624
Open AccessForest-Going as a Risk Factor for Confirmed Malaria in Champasak Province, Lao PDR: A Case-Control Study
Lao People’s Democratic Republic (Lao PDR) has made significant progress in reducing malaria in recent years. In the Greater Mekong Subregion, forest-going is often a risk factor contributing to continuing malaria transmission. This study assessed forest-going and other potential risk factors for malaria cases in Champasak Province, Lao PDR. Routine passive surveillance data from August 2017 to December 2018 were extracted from health facilities in three districts for a case-control study; at the time of presentation, all fever cases were asked to report any recent forest travel. Multivariable logistic regression was used to assess the relationship between forest-going and malaria infection while controlling for other covariates. Of 2933 fever cases with data available on forest-sleeping and malaria diagnosis from 25 health facilities, 244 (8%) tested positive (cases), and 2689 (92%) tested negative (controls). Compared with spending 0–2 nights in the forest, spending 3–7 nights in the forest was associated with 9.7 times the odds of having a malaria infection (95% CI: 4.67–20.31, p < 0.001) when adjusting for gender, occupation, and season. Forest-going, especially longer trips, is associated with increased risk for confirmed symptomatic malaria in southern Lao PDR, and appropriate and targeted intervention efforts are needed to protect this high-risk population.