Distribution and Phylogenetic Characterization of the Invasive Malaria Vector,  &lt;i&gt;Anopheles Stephensi&lt;/i&gt; in Sudan

Abubakr, Mustafa; Sami, Hamza; Mahdi, Isam; Altahir, Omnia; Abdelbagi, Hanadi; Mohamed, Nouh Saad; Ahmed, Ayman

doi:10.2139/ssrn.3935674

Cited by 4 publications

(5 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The recent emergence and the yet-unknown distribution of Anopheles stephensi in Sudan 18 , may also have considerably contributed in the recent epidemics of malaria that have occurred in different regions of Sudan [15][16][17] . Our results show an increase of Plasmoidum vivax malaria cases in Urban areas between 2017 and 2019, particularly in the Red Sea, Kassala, Gedarif and Khartoum states.…”

Section: Discussionmentioning

confidence: 99%

“…Our results show an increase of Plasmoidum vivax malaria cases in Urban areas between 2017 and 2019, particularly in the Red Sea, Kassala, Gedarif and Khartoum states. Anopheles stephensi mosquitoes have been detected in each of these states 17 , suggesting a possible link with Plasmodium vivax malaria cases. A similar scenario occurred in Djibouti in 2012 when serious epidemics of malaria took place in urban settings throughout the country and subsequent entomological investigations confirmed the first appearance Anopheles stephensi in Africa 33,34 .…”

Section: Discussionmentioning

confidence: 99%

“…In the year 2019, the presence of the invasive Asian malaria vector An. stephens was reported in Sudan for the first time, which increased malaria risk in urban areas [15][16][17][18] . This vector is rapidly spreading and expanding it is geographical distribution in the Horn of Africa 19,20 .…”

mentioning

confidence: 99%

See 2 more Smart Citations

Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data

Elagali

Ahmed

Makki

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

Malaria is a serious threat to global health, with over $$95\%$$ 95 % of the cases reported in 2020 by the World Health Organization in African countries, including Sudan. Sudan is a low-income country with a limited healthcare system and a substantial burden of malaria. The epidemiology of malaria in Sudan is rapidly changing due to factors including the rapidly developing resistance to drugs and insecticides among the parasites and vectors, respectively; the growing population living in humanitarian settings due to political instability; and the recent emergence of Anopheles stephensi in the country. These factors contribute to changes in the distribution of the parasites species as well as malaria vectors in Sudan, and the shifting patterns of malaria epidemiology underscore the need for investment in improved situational awareness, early preparedness, and a national prevention and control strategy that is updated, evidence based, and proactive. A key component of this strategy is accurate, high-resolution endemicity maps of species-specific malaria. Here, we present a spatiotemporal Bayesian model, developed in collaboration with the Sudanese Ministry of Health, that predicts a fine-scale (1 km $$\times $$ × 1 km) clinical incidence and seasonality profiles for Plasmodium falciparum and Plasmodium vivax across the country. We use monthly malaria case counts for both species collected via routine surveillance between January 2017 and December 2019, as well as a suite of high-resolution environmental covariates to inform our predictions. These epidemiological maps provide a useful resource for strategic planning and cost-effective implementation of malaria interventions, thus informing policymakers in Sudan to achieve success in malaria control and elimination.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data

Elagali

Ahmed

Makki

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…The recent emergence and the yet-unknown distribution of Anopheles stephensi in Sudan 18 , may also have considerably contributed in the recent epidemics of malaria that have occurred in different regions of Sudan [15][16][17] . Our results show an increase of Plasmoidum vivax malaria cases in Urban areas between 2017-2019, particularly in the Red Sea, Kassala, Gedarif and Khartoum states.…”

Section: Discussionmentioning

confidence: 99%

“…Our results show an increase of Plasmoidum vivax malaria cases in Urban areas between 2017-2019, particularly in the Red Sea, Kassala, Gedarif and Khartoum states. Anopheles stephensi mosquitoes have been detected in each of these states 17 , suggesting a possible link with Plasmodium vivax malaria cases. A similar scenario occurred in Djibouti in 2012 when serious epidemics of malaria took place in urban settings throughout the country and subsequent entomological investigations confirmed the first appearance Anopheles stephensi in Africa 33,34 .…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data

Elagali

Ahmed

Makki³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Malaria is a serious threat to global health, with over 95% of the cases reported in 2020 by the World Health Organization in African countries, including Sudan. Sudan is a low-income country with a limited healthcare system and a substantial burden of malaria. The epidemiology of malaria in Sudan is rapidly changing due to factors including the rapidly developing resistance to drugs and insecticides among the parasites and vectors, respectively; the growing population living in humanitarian settings due to political instability; and the recent emergence of Anopheles stephensi in the country. These factors contribute to changes in the distribution of the parasites species as well as malaria vectors in Sudan, and the shifting patterns of malaria epidemiology underscore the need for investment in improved situational awareness, early preparedness, and a national prevention and control strategy that is updated, evidence based, and proactive. A key component of this strategy is accurate, high-resolution endemicity maps of species-specific malaria. Here, we present a spatiotemporal Bayesian model, developed in collaboration with the Sudanese Ministry of Health, that predicts a fine-scale (1 km × 1 km) clinical incidence and seasonality profiles for Plasmodium falciparum and Plasmodium vivax across the country. We use monthly malaria case counts for both species collected via routine surveillance between January 2017 and December 2019, as well as a suite of high-resolution environmental covariates to inform our predictions. These epidemiological maps provide a useful resource for strategic planning and cost-effective implementation of malaria interventions, thus informing policymakers in Sudan to achieve success in malaria control and elimination.

show abstract

Vector control strategy for Anopheles stephensi in Africa

Ahmed¹,

Abubakr²,

Ali³

et al. 2022

The Lancet Microbe

View full text Add to dashboard Cite

Distribution and Phylogenetic Characterization of the Invasive Malaria Vector, <i>Anopheles Stephensi</i> in Sudan

Cited by 4 publications

References 15 publications

Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data

Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data

Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data

Vector control strategy for Anopheles stephensi in Africa

Contact Info

Product

Resources

About