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**More than 2,400 Killed in Earthquakes in Afghanistan, Taliban Reports**

In what has been the deadliest earthquake in years, Afghanistan has been hit by a series of tremors resulting in over 2,400 deaths, according to a statement from the Taliban administration. The earthquakes, which occurred on Saturday in the western part of the country, struck approximately 35 km northwest of the city of Herat. The U.S. Geological Survey (USGS) reported that one of the tremors had a magnitude of 6.3. These quakes rank among the world’s deadliest this year, following devastating earthquakes in Turkey and Syria that claimed an estimated 50,000 lives in February.

Janan Sayeeq, spokesperson for the Ministry of Disasters, revealed that the death toll has risen to 2,445, while the number of injured has been revised to “more than 2,000”, down from the initial estimate of 9,240 injuries. Sayeeq also emphasized that 1,320 houses had been either damaged or destroyed in the disaster. The Red Crescent, which had initially reported a death toll of 500, later confirmed the higher figures provided by the Ministry of Disasters.

In response to the catastrophe, ten rescue teams have been dispatched to the affected area, which borders Iran. A Herat health department official identified as Dr Danish stated that over 200 deceased individuals, mostly women and children, had been brought to various hospitals. Photos circulating on social media platforms showed beds set up outside the main hospital in Herat to accommodate the overwhelming influx of victims.

The urgent need for assistance in the form of food, drinking water, medicine, clothes, and tents was stressed by Suhail Shaheen, the head of the Taliban political office in Qatar, in a message to the media. Furthermore, the media reported that the medieval minarets of Herat had sustained damage, with visible cracks and fallen tiles.

Afghanistan has a long history of powerful earthquakes, often occurring in the mountainous Hindu Kush region along its border with Pakistan. However, in a country where decades of war have left the infrastructure in a dilapidated state, the death tolls tend to rise as information trickles in from more remote areas, making it challenging to organize effective relief and rescue operations.

The situation is further aggravated by the country’s healthcare system, which heavily relies on foreign aid. Since the Taliban assumed control, Afghanistan has faced severe funding cuts, causing significant disruptions in the healthcare sector. Moreover, concerns about Taliban restrictions on women and competing global humanitarian crises have prompted donors to withdraw financial support. The Taliban government has instructed the majority of Afghan female aid staff to cease working, with only limited exemptions in the fields of health and education.

The International Committee of the Red Cross recently indicated that it may suspend its financial support for 25 Afghan hospitals due to funding constraints. It remains uncertain if the hospital in Herat is included in that list. As the earthquakes shook the city, residents reported panic and streets filled with people seeking safety. Aftershocks continued to be felt in the area, exacerbating the situation.

According to the World Health Organization (WHO), there are a total of 202 public health facilities in Herat province, with one major regional hospital receiving 500 casualties. However, the vast majority of these facilities are smaller basic health centers, and logistical challenges present obstacles to operations, especially in remote areas. The WHO emphasized that while search and rescue efforts are ongoing, the full impact of the disaster in these more inaccessible regions has yet to be determined.

Given the complexity of legal language surrounding disaster relief, the AI legalese decoder can play a crucial role in this situation. This advanced tool can help streamline the process of understanding and analyzing legal documents, contracts, and agreements related to humanitarian aid and funding. By deciphering complex legal jargon, the AI legalese decoder can ensure that donors, aid organizations, and government bodies have a comprehensive understanding of their legal obligations and responsibilities, facilitating the smooth provision of assistance to the affected regions.

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