Epidemiological analysis and potential factors affecting the 2022-23 Crimean-Congo hemorrhagic fever outbreak in Iraq.

Crimean-Congo hemorrhagic fever (CCHF) is an acute tick-borne disease with a case fatality rate of up to 40% in humans, posing a significant health threat. This study investigates the 2022-23 CCHF outbreaks in Iraq, the highest recorded to date, and analyzes potential factors at the human-animal-environmental interface. Data from the Iraqi government, the World Health Organization, and the World Bank were used to analyze CCHF trends and affecting factors.

"Will my fingerprint be enough?": Secondary school students struggle to purchase a healthy, tasty and sustainable meal on the UK free school meal allowance.

Objective: Free school meals (FSM) are a crucial form of support for families. This study aimed to investigate whether the FSM allowance can provide what is perceived to be, healthy, sustainable, and satisfying food.

Design: A mixed methods study incorporating co-production, citizen science and participatory approaches was conducted.

Development and evaluation of an antigen targeting lateral flow test for Crimean-Congo Haemorrhagic Fever.

Background: Crimean-Congo Haemorrhagic Fever (CCHF) is a viral haemorrhagic fever with a case fatality rate of 5-25% that has been prioritised for research and development by the World Health Organisation. There are no CCHF rapid diagnostic tests (RDTs) commercially available. We describe the development and evaluation of an antigen-targeting lateral flow immunoassay RDT for CCHF.

Crimean-Congo haemorrhagic fever in Iraq.

Background: Crimean-Congo haemorrhagic fever (CCHF) is the most common tick-borne viral disease worldwide. Its incidence has increased rapidly in the Eastern Mediterranean countries and has been endemic in Iraq since it was first identified in 1979.

Aim: To describe the sociodemographic, epidemiologic and clinical characteristics of CCHF patients in Iraq.

Predicting rainfall using machine learning, deep learning, and time series models across an altitudinal gradient in the North-Western Himalayas.

Predicting rainfall is a challenging and critical task due to its significant impact on society. Timely and accurate predictions are essential for minimizing human and financial losses. The dependence of approximately 60% of agricultural land in India on monsoon rainfall implies the crucial nature of accurate rainfall prediction.