| Autor: |
Ernest Kenu, Wahjib Mohammed, Kofi Osae, Agnes Millicent Kotoh, Naa-Korkor Allotey |
| Rok vydání: |
2021 |
| Předmět: |
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| DOI: |
10.21203/rs.3.rs-282505/v1 |
| Popis: |
BackgroundMalaria in pregnancy (MIP) is a significant public health problem, and affects both mother and foetus. MIP has both direct and indirect effects. These direct effects attributed to malaria in pregnancy are clinical malaria in pregnancy and congenital malaria. Although there has been a steady decline of malaria in pregnancy (MIP); reducing from 9% in 2004 to 1.4% in 2016, the decline, does not seem equitable across the country. There was therefore a need to identify areas where clinical MIP and neonatal was high and target them for interventions (neonatal malaria was used because data for malaria was available only for the first 28 days). As a result, this study sought to use routine data to identify areas of high transmission (hotspots) for clinical malaria in pregnancy and neonatal malaria (extrapolating for congenital malaria hotspots).Methods Clinical MIP and neonatal malaria (suspected and confirmed) data were retrieved from the national routine database. Using expected pregnancy and all clinical malaria cases as the denominators of clinical malaria in pregnancy and clinical malaria respectively, the per 1000 cases of malaria in pregnancy and percentage neonatal malaria were calculated for both conditions. These two data sets were fed into ARC GIS software and hotspots spatially determined for both conditions from 2014 to 2016. ResultsVariations in hotspots were identified both chronologically and geospatially for clinical MIP and neonatal malaria respectively. Nevertheless, stable hotspots were found for clinical malaria in pregnancy for the three years and stable hotspots also identified for Neonatal malaria for two years. Congenital malaria was extrapolated from neonatal malaria data only for Bole District in the Northern Region of Ghana for 2015.Conclusions:Hotspots for malaria in pregnancy show marked variation year on year both for clinical malaria in pregnancy and neonatal malaria and vary geospatially. The differences in hotspots in clinical malaria in pregnancy and neonatal malaria also show that neonatal malaria cannot be attributed to congenital malaria and therefore is not the effect of malaria in pregnancy. However, stable hotspots for clinical malaria in pregnancy should be targeted for intervention. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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