ArticleMalaria journal2022
Modelling malaria in southernmost provinces of Thailand: a two-step process for analysis of highly right-skewed data with a large proportion of zeros.
Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Modelling pertussis in thailand's southernmost provinces.BMC public health · 2025Article
- Identifying malaria elimination strategies in the presence of human movement in Bangladesh.Communications medicine · 2025Article
- Evaluating Thailand's malaria reactive surveillance and response strategies for malaria elimination: a mixed-method study.Infectious diseases of poverty · 2025Article
- Prospective observational study to assess the feasibility and safety of appropriateBMJ global health · 2025Observational
- A dot-blot ELISA preliminary evaluation using PvMSP1-42 recombinant protein as antigen for serological diagnosis of Plasmodium vivax infection in Thailand.European journal of microbiology & immunology · 2024Article
- Early warning systems for malaria outbreaks in Thailand: an anomaly detection approach.Malaria journal · 2024Article
- Statistical modeling for identifying chikungunya high-risk areas of two large-scale outbreaks in Thailand's southernmost provinces.Scientific reports · 2023Article
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Authors and funding
4 authors.
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Abstract
backgroundMalaria remains a serious health problem in the southern border provinces of Thailand. The issue areas can be identified using an appropriate statistical model. This study aimed to investigate malaria for its spatial occurrence and incidence rate in the southernmost provinces of Thailand.
methodsThe Thai Office of Disease Prevention and Control, Ministry of Public Health, provided total hospital admissions of malaria cases from 2008 to 2020, which were classified by age, gender, and sub-district of residence. Sixty-two sub-districts were excluded since they had no malaria cases. A logistic model was used to identify spatial occurrence patterns of malaria, and a log-linear regression model was employed to model the incidence rate after eliminating records with zero cases.
resultsThe overall occurrence rate was 9.8% and the overall median incidence rate was 4.3 cases per 1,000 population. Malaria occurence peaked at young adults aged 20-29, and subsequently fell with age for both sexes, whereas incidence rate increased with age for both sexes. Malaria occurrence and incidence rates fluctuated; they appeared to be on the decline. The area with the highest malaria occurrence and incidence rate was remarkably similar to the area with the highest number of malaria cases, which were mostly in Yala province's sub-districts bordering Malaysia.
conclusionsMalaria is a serious problem in forest-covered border areas. The correct policies and strategies should be concentrated in these areas, in order to address this condition.
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