Trends in Malaria Testing and Positivity Rates by Age Group in Mimika Regency, Indonesia, 2020–2025

Authors

  • Reynold Rizal Ubra Dinas Kesehatan Kabupaten Mimika, Indonesia
  • Kamaludin Kamaludin Dinas Kesehatan Kabupaten Mimika, Indonesia
  • Imelda Ohoiledjaan Dinas Kesehatan Kabupaten Mimika, Indonesia

DOI:

https://doi.org/10.59141/-.v8i1.517

Keywords:

malaria, positivity rate, age group, risk ratio, malaria elimination

Abstract

Malaria remains a major public health problem in high-endemic areas such as Mimika Regency, Indonesia. Increasing examination coverage is a key strategy for accelerating malaria elimination; however, analyzing its impact on positivity rates (PR) and case distribution by age group is essential. This study aims to analyze malaria testing trends, positivity rates, and case distribution by age group in Mimika Regency from 2020 to 2025. A descriptive observational study with an analytical approach was conducted using secondary data from the malaria program (2020–2025). Analysis included calculation of positivity rate (PR), risk ratio (RR), and distribution of case proportions by age group, with proportional comparison tested using chi-square. The number of malaria tests increased from 189,243 (2020) to 1,191,218 (2025), while the positivity rate decreased from 41.1% to 15.6%. Microscopy showed a higher PR (31.2%) than rapid diagnostic tests (9.2%) with an RR of 3.39. Case distribution was dominated by the 15–64 years age group (65%), followed by children aged 1–14 years (32%), with statistically significant differences between age groups (p<0.05). In conclusion, increased testing coverage contributed significantly to the decline in positivity rate. However, the high number of cases in the productive age and the number of cases in children indicate that malaria transmission is still actively ongoing both outside the home and in the household. Risk-based and age-group interventions are needed to accelerate malaria elimination.

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References

Alegana, V. A., Okiro, E. A., & Snow, R. W. (2020). Estimating population at risk of malaria. BMJ Global Health, 5, e002485.

Bousema, T., Okell, L., Felger, I., & Drakeley, C. (2014). Asymptomatic malaria infections: Detection and implications. American Journal of Tropical Medicine and Hygiene, 90(2), 200–208.

Cotter, C., Sturrock, H. J. W., Hsiang, M. S., et al. (2013). The changing epidemiology of malaria elimination. Malaria Journal, 12, 20.

Dini S, Douglas NM, Poespoprodjo JR, Kenangalem E, Sugiarto P, Plumb ID, Price RN, Simpson JA. 2020. The risk of morbidity and mortality following recurrent malaria in Papua, Indonesia: a retrospective cohort study. BMC Med. 18(1):28.

Herdiana H, Prameswari HD, Puspadewi RT, Fajariyani SB, Diptyanusa A, Theodora M, Supriyanto D, Hawley WA. 2025. Shrinking the malaria map in Indonesia: progress of subnational control, elimination, and future strategies. BMC Med. 23(1):512.

Kagaba Amina G. 2024. Socio-economic determinants and malaria risk: assessing the impact of poverty, housing conditions, and healthcare accessibility in high-incidence regions. Sci. 5.

Kenangalem E, Poespoprodjo JR, Douglas NM, Burdam FH, Gdeumana K, Chalfein F, Prayoga, Thio F, Devine A, Marfurt J. 2019. Malaria morbidity and mortality following introduction of a universal policy of artemisinin-based treatment for malaria in Papua, Indonesia: A longitudinal surveillance study. PLoS Med. 16(5):e1002815.

Lindblade, K. A., Steinhardt, L., Samuels, A., et al. (2013). The silent threat: Asymptomatic parasitemia and malaria transmission. Malaria Journal, 12, 366.

Noor, A. M., Kinyoki, D. K., Mundia, C. W., et al. (2014). The changing risk of malaria infection in Africa: 2000–2010. PLoS ONE, 9(12), e113426.

Sankineni S, Chauhan S, Shegokar R, Pathak Y. 2023. Global health and malaria: Past and present. Di dalam: Malarial drug delivery systems: Advances in treatment of infectious diseases. Springer. hlm. 1–16.

De Silva PM, Marshall JM. 2012. Factors contributing to urban malaria transmission in sub‐saharan Africa: A systematic review. J. Trop. Med. 2012(1):819563.

Sitohang V, Sariwati E, Fajariyani SB, Hwang D, Kurnia B, Hapsari RK, Laihad FJ, Sumiwi ME, Pronyk P, Hawley WA. 2018. Malaria elimination in Indonesia: halfway there. Lancet Glob. Heal. 6(6):e604–e606.

Stresman, G. H. (2010). Beyond temperature and precipitation: Ecological risk factors that modify malaria risk. Malaria Journal, 9, 190.

Sturrock, H. J. W., Cohen, J. M., Keil, P., et al. (2014). Fine-scale mapping of malaria risk. Malaria Journal, 13, 378.

Tobing TCL, Saputri E, Wafa NI, Zulfianti PD, Sihaloho LI, Husna AR, Salsabila D, Silalahi FHH, Sitohang AI, Sabrina A. 2024. Malaria in Indonesia: current treatment approaches, future strategies, and potential herbal interventions. Pharmacia. 71:1–14.

Villena OC, Arab A, Lippi CA, Ryan SJ, Johnson LR. 2024. Influence of environmental, geographic, socio-demographic, and epidemiological factors on presence of malaria at the community level in two continents. Sci. Rep. 14(1):16734.

Weiss, D. J., Lucas, T. C. D., Nguyen, M., et al. (2019). Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000–2017. Nature, 565, 201–206.

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Published

2026-06-25

How to Cite

Ubra, R. R., Kamaludin, K., & Ohoiledjaan, I. (2026). Trends in Malaria Testing and Positivity Rates by Age Group in Mimika Regency, Indonesia, 2020–2025. Jurnal Sehat Indonesia (JUSINDO), 8(1), 467–473. https://doi.org/10.59141/-.v8i1.517