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1.
Infect Dis Poverty ; 12(1): 31, 2023 Apr 10.
Article in English | MEDLINE | ID: covidwho-2296386

ABSTRACT

BACKGROUND: While 5% of 247 million global malaria cases are reported in Uganda, it is also a top refugee hosting country in Africa, with over 1.36 million refugees. Despite malaria being an emerging challenge for humanitarian response in refugee settlements, little is known about its risk factors. This study aimed to investigate the risk factors for malaria infections among children under 5 years of age in refugee settlements in Uganda. METHODS: We utilized data from Uganda's Malaria Indicator Survey which was conducted between December 2018 and February 2019 at the peak of malaria season. In this national survey, household level information was obtained using standardized questionnaires and a total of 7787 children under 5 years of age were tested for malaria using mainly the rapid diagnostic test. We focused on 675 malaria tested children under five in refugee settlements located in Yumbe, Arua, Adjumani, Moyo, Lamwo, Kiryadongo, Kyegegwa, Kamwenge and Isingiro districts. The extracted variables included prevalence of malaria, demographic, social-economic and environmental information. Multivariable logistic regression was used to identify and define the malaria associated risk factors. RESULTS: Overall, malaria prevalence in all refugee settlements across the nine hosting districts was 36.6%. Malaria infections were higher in refugee settlements located in Isingiro (98.7%), Kyegegwa (58.6%) and Arua (57.4%) districts. Several risk factors were significantly associated with acquisition of malaria including fetching water from open water sources [adjusted odds ratio (aOR) = 1.22, 95% CI: 0.08-0.59, P = 0.002], boreholes (aOR = 2.11, 95% CI: 0.91-4.89, P = 0.018) and water tanks (aOR = 4.47, 95% CI: 1.67-11.9, P = 0.002). Other factors included pit-latrines (aOR = 1.48, 95% CI: 1.03-2.13, P = 0.033), open defecation (aOR = 3.29, 95% CI: 1.54-7.05, P = 0.002), lack of insecticide treated bed nets (aOR = 1.15, 95% CI: 0.43-3.13, P = 0.003) and knowledge on the causes of malaria (aOR = 1.09, 95% CI: 0.79-1.51, P = 0.005). CONCLUSIONS: The persistence of the malaria infections were mainly due to open water sources, poor hygiene, and lack of preventive measures that enhanced mosquito survival and infection. Malaria elimination in refugee settlements requires an integrated control approach that combines environmental management with other complementary measures like insecticide treated bed nets, indoor residual spraying and awareness.


Subject(s)
Communicable Disease Control , Malaria , Refugees , Animals , Child, Preschool , Humans , Insecticide-Treated Bednets/supply & distribution , Malaria/diagnosis , Malaria/epidemiology , Malaria/prevention & control , Refugees/statistics & numerical data , Risk Factors , Uganda/epidemiology , Water , Infant, Newborn , Infant , Health Surveys , Prevalence , Water Supply/statistics & numerical data , Environmental Exposure/statistics & numerical data , Health Knowledge, Attitudes, Practice , Toilet Facilities/statistics & numerical data , Defecation , Hygiene/standards , Communicable Disease Control/methods , Communicable Disease Control/standards , Communicable Disease Control/statistics & numerical data
2.
Pan Afr Med J ; 38: 119, 2021.
Article in French | MEDLINE | ID: covidwho-1547723

ABSTRACT

Long-lasting insecticidal mosquito nets (LLIMNs) are needed for malaria vector control. However, their distribution is not yet optimal in sub-Saharan regions. According to projections, COVID-19 pandemic will further delay the distribution of LLIMNs. In Niger, a distribution campaign of LLIMNs with a multi-sectoral approach (state-partner-civil society) was organized in compliance with barrier measures for preventing transmission of COVID-19. A door-to-door strategy was chosen to implement this campaign, in order to avoid entry into confined spaces and to engage community. A total of 13,994,681 people received LLIMNs (reflecting a success rate of 101%) in six targeted regions. A collective effort is needed to sustain the fight against malaria in the COVID-19 era.


Subject(s)
COVID-19/prevention & control , Insecticide-Treated Bednets/supply & distribution , Malaria/prevention & control , COVID-19/epidemiology , Humans , Mosquito Control , Mosquito Vectors , Niger
3.
Malar J ; 19(1): 431, 2020 Nov 25.
Article in English | MEDLINE | ID: covidwho-945213

ABSTRACT

BACKGROUND: In 2020, Benin has implemented a digitalized mass distribution campaign of insecticide-treated nets (ITNs) in the particular context of COVID-19 pandemic. This paper describes the implementation process as well as the challenges and lessons learned from this campaign. METHODS: A descriptive design was used for reporting the planning and implementation process of ITNs campaign. Moreover, the changes and adaptations related to COVID-19 pandemic are described. RESULTS: A total of 3,175,773 households were registered corresponding to a total of 14,423,998 persons (13.55% more from projection). Moreover, 94.16% (13,581,637 people) of enumerated population were protected. A total of 7,652,166 ITNs were distributed countrywide. CONCLUSIONS: High political commitment, engagement and support add to the financial and technical supports from partners were the essential factors that make 2020 ITNs mass campaign success in Benin despite the particular context of COVID-19 pandemic. It is essential to maintain the prevention activities for malaria and this could substantially reduce the overall impact of the COVID-19 pandemic for the populations at malaria risk.


Subject(s)
Coronavirus Infections/epidemiology , Insecticide-Treated Bednets/supply & distribution , Pandemics/prevention & control , Pneumonia, Viral/epidemiology , Benin/epidemiology , Betacoronavirus/isolation & purification , COVID-19 , Coronavirus Infections/prevention & control , Coronavirus Infections/virology , Delivery of Health Care , Education , Family Characteristics , Health Care Surveys , Health Planning Organizations , Humans , Malaria/epidemiology , Malaria/prevention & control , Pneumonia, Viral/prevention & control , Pneumonia, Viral/virology , Public Health/methods , SARS-CoV-2
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