Prevalence of Anopheles stephensi in Horn of Africa: a systematic review and meta-analysis

BMC Infectious Diseases, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 27, 2025

Anopheles stephensi has been a primary cause of malaria spread in urban areas. The World Health Organization announced threat alert 2019 that highlighted the An. outbreak Horn Africa. Currently, there is insufficient information on prevalence stephensi. Therefore, this systematic review and meta-analysis aimed to determine pooled Systematic search was performed retrieve articles from PubMed, Scopus, Science Direct databases, Google Scholar engine. Fourteen potential studies provided important data were systematically reviewed analyzed. extracted separately into Microsoft Excel analyzed using STATA 17.0. Inverse variance done evaluate heterogeneity across studies. A funnel plot an Egger's test used publication bias. trim-and-fill-meta-analysis carried out generate bias-adjusted effect estimate. random model Subgroup analysis based year country. total 14 included for meta-analysis. From meta-analysis, 41.26%. subgroup showed conducted 2014-2018 99%, while it 36.82% 2019-2024. On other hand, country-based Djibouti, Eritrea, Ethiopia, Kenya, Somaliland, Sudan 10.5%, 17.3%, 55.30%, 9.90%, 48.70%, 24.63%, respectively. This reveal high Africa region. underscores significant challenges managing infections transmitted by officials must adjust current vector control measures incorporate with local species. Also, regular identification limiting be sustained ensure effectiveness prevention.

Язык: Английский

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Risk Identification and Intervention Strategies in Health, Water, Food Security, and Livestock for Sustainable Development

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 345 - 376

Опубликована: Май 16, 2025

This chapter investigates the important relationship of health, water, food security, sanitation, and livestock productivity within conceptual structure sustainable development. By aligning with United Nations Sustainable Development Goals (SDGs), this analysis highlights importance risk management intervention strategies that address these interlinked sectors to ensure a resilient future. The is organized into several sections, each focusing on key area its associated challenges, risks, solutions, especially in developing countries where resources are limited socio-economic environmental constraints raised.

Язык: Английский

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Exploring the socioeconomic determinants of water security in developing regions

Water Policy, Год журнала: 2022, Номер 24(4), С. 608 - 625

Опубликована: Апрель 1, 2022

Abstract The objectives of this study are two fold: first, to develop a composite water security metric assess at national scale, and second, explore the determinants same scale in three developing regions – Africa, Asia-Pacific Latin America Caribbean (LAC). index (WSI) was developed using biophysical (water availability, climate risk ecosystem vitality) socioeconomic accessibility integrated resources management) variables. Five independent variables (governance, gross domestic product (GDP) per capita, percentage urban population, official development assistance for sanitation services (ODA-WSS) female primary school completion rate) were used security. Results show that >90% countries Africa water-insecure, whereas most LAC water-secure except Haiti, Guatemala Nicaragua. Statistical analyses GDP rate governance key This provides empirical evidence on link between further strong correlation ODA-WSS region with higher capita than low capita. suggests increasing may enhance regions.

Язык: Английский

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Examining the Barriers to Redesigning Smallholder Production Practices for Water-Use Efficiency in Numbi, Mbombela Local Municipality, South Africa

Water, Год журнала: 2024, Номер 16(22), С. 3221 - 3221

Опубликована: Ноя. 9, 2024

Smallholder farmers in South Africa face issues related to water shortages and poor irrigation management. This study investigated barriers improving water-use efficiency (WUE) smallholder production practices Numbi, Africa. The objectives were identify redesigning for higher agricultural productivity analyze the relationship between supply adoption of WUE methods. From a population 7696 people, 141 sampled using simple random sampling technique through Taro Yamane’s sample size formula. data analyzed Pearson’s correlation coefficient descriptive statistics. Unreliable (M = 3.78, SD 0.85), soil retention lack water-efficient systems 3.91, 0.71), storage facilities 3.85, 0.93), limited access credit 4.09, income instability due market fluctuations 3.96, 0.91), inadequate knowledge management 4.00, 0.84), harsh climatic factors identified. A positive (r 0.339, n 141, p < 0.001) source techniques was evident, indicating that had an insignificant impact on Resolving these requires holistic approach focusing investments infrastructure targeted education initiatives by extension agents other stakeholders, as this can enhance productivity.

Язык: Английский

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SUSTAINABLE DEVELOPMENT GOAL 6 MONITORING THROUGH STATISTICAL MACHINE LEARNING – RANDOM FOREST METHOD

Cleaner Production Letters, Год журнала: 2024, Номер unknown, С. 100088 - 100088

Опубликована: Дек. 1, 2024

Язык: Английский

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