Dadamu sub-county in Arua city has population of 50,600 with seven (7) parishes and fifty-one (51) villages; but only one health facility (HC III) (UBOS, 2022).
Dadamu has the highest malaria prevalence in Arua City. 64% of the OPD attendances in Dadamu Sub- County were due to Malaria while the incidence of malaria in the whole population of Dadamu was 29% with risk of rising even higher (DHIS2 2020/2021 report). Reports from Orivu HC3 indicate that at least 5 school going children report to the health facility daily as a result of malaria related problems.
The malaria sensitization talk helped to bring together pupils, teachers and health workers of Orivu HC III to discuss drivers of high malaria burden in Dadamu and how the problem can be addressed using locally available resources in addition to behaviour change.
The meeting was intended to impart knowledge and skills in the learners and teachers about malaria so as to prevent malaria in the schools, detect learners or teachers with malaria in the school or class, and promptly manage the malaria cases and referral to the nearest health facility.
Several factors were identified by the pupils to be the key drivers of malaria in Dadamu Sub County as follows;
IHDI team and health facility staff with support from teachers conducted testing of the pupils who turned up for the sensitization meeting and the results are as shown in the table;
Parish | Primary School | Positive | Negative | Total | Positive (%) |
Tanganyika | Asuru | 20 | 43 | 63 | 31.7 |
Ariwara | Ociba | 8 | 43 | 51 | 15.7 |
Oduluba | Oduluba | 23 | 9 | 32 | 71.9 |
Luvu | Luvu | 40 | 9 | 49 | 81.6 |
Arivu | Jiako | 15 | 86 | 101 | 14.8 |
Yapi | Orawa | 36 | 69 | 105 | 34.3 |
Odravu | Odravu | 38 | 13 | 51 | 74.5 |
Total |
This positivity varies from one primary school to another. But this average is below the 64% baseline at the start of the project implementation demonstrating that we have made a contribution to malaria reduction in Dadamu Sub County during the project life cycle. Schools with low positivity rate such as Jiako primary school had already established a mosquito repellant garden and the pupils probably learnt the importance of these repellants and replicated the practice in their homes making their homes malaria smart hence low positivity among the pupils unlike in a school like Luvu primary where use of malaria prevention practices like use of mosquito nets and planting mosquito repellants plants in their homes to prevent malaria was not available led to high malaria positivity of 82% among the pupils. We there conclude that educating pupils on the malaria MAAM strategy can contribute to significant reduction on malaria morbidity among the pupils
All the cases of malaria screened and treated during the sensitization meetings in the schools were uncomplicated malaria, however the 15 children identified with disabilities including limp amputations that would need prosthesis and others needed replacement of their prosthesis were identified and linked to Bidibidi refugee settlement for the artificial limbs replacement.
In all the seven (7) school meetings we conducted, we were able to impart knowledge on malaria smart school, class and home and how to keep their home malaria smart by planting mosquito repellants, closing windows early, use of bed nets and clearing bushes and draining any stagnant water sources around their home steads and early health seeking and prompt referral of malaria suspects for testing early initiation of potent treatment for malaria and completing the dosages given.
All those who tested positive were educated and administered antimalarial dose for treatment of the malaria
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