dc.contributor.author | Aidoo, E. K. | |
dc.contributor.author | Squire, D. S. | |
dc.contributor.author | Atuahene, O. O. D. | |
dc.contributor.author | Badu, K. | |
dc.contributor.author | Botchway, F. A. | |
dc.contributor.author | Osei-Adjei, G. | |
dc.contributor.author | Krogfelt, K. A. | |
dc.date.accessioned | 2023-03-23T14:09:13Z | |
dc.date.available | 2023-03-23T14:09:13Z | |
dc.date.issued | 2022 | |
dc.identifier.other | 10.3390/covid2090091 | |
dc.identifier.uri | https://www.mdpi.com/2673-8112/2/9/91 | |
dc.identifier.uri | http://atuspace.atu.edu.gh:8080/handle/123456789/3126 | |
dc.description.abstract | Coronavirus disease 2019 (COVID-19) contact tracing and malaria reactive case detection (RACD) are effective strategies for disease control. The emergence of the COVID-19 pandemic and the global attention COVID-19 has received in the recent past and present has hampered malaria control efforts. Among these are difficulties in finding and treating malaria-infected individuals in hypoendemic settings in the community, due to lockdown restrictions by countries. It is common knowledge that malaria cases that cannot be identified remain untreated. To sustain the gains made in malaria control, we proposed a two-pronged hybrid approach for COVID-19 contact tracing and malaria RACD in communities with COVID-19 and malaria coinfections. Such an approach would equally factor the burden of malaria cases and COVID-19 to support an effective strategy for responding to current and future pandemics. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Malaria | en_US |
dc.subject | Contact tracing | en_US |
dc.subject | Reactive case detection | en_US |
dc.subject | strategy | en_US |
dc.subject | Hypoendemic settings | en_US |
dc.subject | Pandemic | en_US |
dc.title | Joint COVID-19 Contact Tracing and Malaria Reactive Case Detection as Efficient Strategies for Disease Control. | en_US |
dc.type | Article | en_US |